2023/03/02 更新

写真a

ユジャイ ゼイネップ
YUCEL ZEYNEP
YUCEL Zeynep
所属
自然科学学域 准教授
職名
准教授
ホームページ
外部リンク

学位

  • 電気電子工学の博士 (Elektrik elektronik muhendisligi doktora derecesi) ( Bilkent大学 (Bilkent universitesi) )

  • 電気電子工学の修士 (Elektrik elektronik muhendisligi master derecesi) ( Bilkent大学 (Bilkent universitesi) )

  • 電気電子工学士号 (Elektrik elektronik muhendisligi lisans derecesi) ( Bogazici大学 (Bogazici Universitesi) )

研究キーワード

  • パターンレコグニション

  • 人間の振る舞いの理解

  • Pattern recognition

  • Human behavior understading

  • ロボティクス

  • コンピュータビジョン

  • Computer vision

  • Robotics

研究分野

  • 情報通信 / 知能情報学

学歴

  • Bilkent大学   工学系研究科   電気電子工学(Elektrik ve elektronik muhendisligi)

    2005年9月 - 2010年1月

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    国名: トルコ共和国

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  • Bilkent大学    

    2003年9月 - 2005年8月

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    国名: トルコ共和国

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  • Bogazici大学 (Bogazici Universitesi)   工学部   電気電子工学(Elektrik ve elektronik muhendisligi)

    1999年9月 - 2003年6月

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    国名: トルコ共和国

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経歴

  • 岡山大学   工学部 情報系学科   准教授

    2020年10月 - 現在

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  • 岡山大学   工学部 情報系学科   Assistant professor

    2019年4月 - 2020年9月

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  • 岡山大学   大学院自然科学研究科   WTT Assistant Professor

    2017年4月 - 2019年3月

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  • 株式会社 国際電気通信基礎技術研究所 日本学術振興会特別研究員   JSPS Fellow

    2016年4月 - 2017年7月

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  • 株式会社 国際電気通信基礎技術研究所 研究員   Researcher

    2010年1月 - 2015年9月

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  • Centrum Wiskunde & Informatica (CWI)

    2009年1月 - 2009年4月

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    国名:オランダ王国

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  • Amsterdam大学   Intelligent Systems Laboratory   Visiting reseacher

    2008年9月 - 2008年12月

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    国名:オランダ王国

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  • Amsterdam大学   Intelligent Systems Laboratory   Visiting researcher

    2008年2月 - 2008年5月

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    国名:オランダ王国

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所属学協会

委員歴

  • Program committee member in International Conference on Speech and Computer  

    2022年9月   

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    団体区分:学協会

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  • Program committee member in International Conference on Speech and Computer  

    2021年9月   

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    団体区分:学協会

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  • Program committee member in International Conference on Speech and Computer  

    2020年10月   

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    団体区分:学協会

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  • Program committee member in International Conference on Speech and Computer  

    2019年8月   

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    団体区分:学協会

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  • Program committee member in International Workshop on Human Behavior Understading  

    2018年5月   

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    団体区分:学協会

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  • IEEE   メンバー  

    2013年 - 2014年   

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    団体区分:学協会

    IEEE

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  • IEEE   Member  

    2013年 - 2014年   

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    団体区分:学協会

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論文

  • A pure number to assess “congestion” in pedestrian crowds 査読

    Francesco Zanlungo, Claudio Feliciani, Zeynep Yücel, Xiaolu Jia, Katsuhiro Nishinari, Takayuki Kanda

    Transportation Research Part C: Emerging Technologies   148   2023年3月

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    掲載種別:研究論文(学術雑誌)  

    The development of technologies for reliable tracking of pedestrian trajectories in public spaces has recently enabled collecting large data sets and real-time information about the usage of urban space and indoor facilities by human crowds. Such an information, nevertheless, may be properly used only with the aid of theoretical and computational tools to assess the state of the crowd. As shown in this work, traditional assessment metrics such as density and flow may provide only a partial information, since it is also important to understand how “regular” these flows are, as spatially uniform flows are arguably less problematic than strongly fluctuating ones. Recently, the Congestion Level (CL), based on the computation of spatial variation of the rotor of the crowd velocity field, has been proposed as an assessment metric to evaluate the state of the crowd. Nevertheless, the CL definition was lacking sound theoretical foundations and, more importantly, was of very difficult interpretation (it was difficult to understand “what” CL was measuring). As we believe that such theoretical shortcomings were limiting also its relevance to applied studies, in this work we clarify some aspects concerning the CL definition, and we show that such an assessment metric may be improved by defining a dimensionless Congestion Number (CN). As a first application of the newly defined CN indicator we first focus on the cross-flow scenario and, by using discrete and continuous toy models, idealised “limit scenarios”, more realistic simulations and finally data from experiments with human participants, we show that CN≪1 corresponds to a crowd with a regular and safe motion (even in high density and high flow settings), while CN≈1 indicates the emergence of a congested and possibly dangerous condition. We finally use the CN indicator to analyse and discuss different settings such as bottlenecks, uni-, bi- and multi-directional flows, and real-world data concerning the movement of pedestrians in the world's busiest railway station.

    DOI: 10.1016/j.trc.2023.104041

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  • Macroscopic and microscopic dynamics of a pedestrian cross-flow: Part I, experimental analysis 査読

    Francesco Zanlungo, Claudio Feliciani, Zeynep Yücel, Katsuhiro Nishinari, Takayuki Kanda

    Safety Science   158   105953 - 105953   2023年2月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    In this work we investigate the behaviour of a human crowd in a cross-flow by analysing the results of a set of controlled experiments in which subjects were divided into two groups, organised in such a way to explore different density settings, and asked to walk through the crossing area. We study the results of the experiment by defining and investigating a few macroscopic and microscopic observables. Along with analysing traditional indicators such as density and velocity, whose dynamics was, to the extent of our knowledge, poorly understood for this setting, we pay particular attention to walking and body orientation, studying how these microscopic observables are influenced by density. Furthermore, we report a preliminary but quantitative analysis on the emergence of self-organising patterns (stripes) in the crossing area, a phenomenon that had been previously qualitatively reported for human crowds, and reproduced in models, but whose quantitative analysis with respect to density conditions is, again according to our knowledge, a novel contribution.

    DOI: 10.1016/j.ssci.2022.105953

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  • Macroscopic and microscopic dynamics of a pedestrian cross-flow: Part II, modelling 査読

    Francesco Zanlungo, Claudio Feliciani, Zeynep Yücel, Katsuhiro Nishinari, Takayuki Kanda

    Safety Science   158   105969 - 105969   2023年2月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    In this work, we try to reproduce empirical results concerning the behaviour of a human crowd in a cross-flow using a hierarchy of models, which differ in the details of the body shape (using a disk-shaped body vs a more realistic elliptical shape) and in how collision avoiding is performed (using only information regarding “centre of mass” distance and velocity, or actually introducing body shape information). We verified that the most detailed model (i.e., using body shape information and an elliptical body) outperforms in a significant way the simplest one (using only centre of mass distance and velocity, and disk-shaped bodies). Furthermore, we observed that if elliptical bodies are introduced without introducing such information in collision avoidance, the performance of the model is relatively poor. Nevertheless, the difference between the different models is relevant only in describing the “tails” of the observable distributions, suggesting that the more complex models could be of practical use only in the description of high density settings. Although we did not calibrate our model in order to reproduce “stripe formation” self-organising patterns observed in the crossing area, we verified that they emerge naturally in all models.

    DOI: 10.1016/j.ssci.2022.105969

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  • Density dependence of stripe formation in a cross-flow 査読

    Francesco Zanlungo, Claudio Feliciani, Hisashi Murakami, Zeynep Yücel, Xiaolu Jia, Katsuhiro Nishinari, Takayuki Kanda

    International Conference on Traffic and Granular Flow (TGF 2022)   2022年10月

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    記述言語:英語   掲載種別:研究論文(研究会,シンポジウム資料等)  

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  • On the influence of group social interaction on intrusive behaviors 査読

    Adrien Gregorj, Zeynep Yücel, Francesco Zanlungo, Takayuki Kanda

    International Conference on Traffic and Granular Flow (TGF 2022)   2022年10月

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    記述言語:英語   掲載種別:研究論文(研究会,シンポジウム資料等)  

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  • Investigating the effect of various types of audio reinforcement on memory retention 査読

    Parisa Supitayakul, Zeynep Yücel, Misato Nose, Akito Monden

    International Conference on Learning Technologies and Learning Environments (LTLE 2022) (   2022年7月

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    記述言語:英語   掲載種別:研究論文(研究会,シンポジウム資料等)  

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  • Improvement and Evaluation of Data Consistency Metric CIL for Software Engineering Data Sets 査読

    Maohua Gan, Zeynep Yucel, Akito Monden

    IEEE Access   10   70053 - 70067   2022年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Institute of Electrical and Electronics Engineers (IEEE)  

    DOI: 10.1109/access.2022.3188246

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  • A computationally efficient approach for solving RBSC-based formulation of the subset selection problem 査読

    Kohei Furuya, Zeynep Yücel, Parisa Supitayakul, Akito Monden

    2022年7月

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    記述言語:英語   掲載種別:研究論文(研究会,シンポジウム資料等)  

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  • Neg/pos-Normalized Accuracy Measures for Software Defect Prediction 査読

    Maohua Gan, Zeynep Yücel, Akito Monden

    IEEE Access   10   134580 - 134591   2022年

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    掲載種別:研究論文(学術雑誌)  

    In evaluating the performance of software defect prediction models, accuracy measures such as precision and recall are commonly used. However, most of these measures are affected by neg/pos ratio of the data set being predicted, where neg is the number of negative cases (defect-free modules) and pos is the number of positive cases (defective modules). Thus, it is not fair to compare such values across different data sets with different neg/pos ratios and it may even lead to misleading or contradicting conclusions. The objective of this study is to address the class imbalance issue in assessing performance of defect prediction models. The proposed method relies on computation of expected values of accuracy measures based solely on the value of the neg and pos values of the data set. Based on the expected values, we derive the neg/pos-normalized accuracy measures, which are defined as their divergence from the expected value divided by the standard deviation of all possible prediction outcomes. The proposed measures enable us to provide a ranking of predictions across different data sets, which can distinguish between successful predictions and unsuccessful predictions. Our results derived from a case study of defect prediction based on 19 defect data sets indicate that ranking of predictions is significantly different than the ranking of conventional accuracy measures such as precision and recall as well as composite measures F1-value, AUC of ROC, MCC, G-mean and Balance. In addition, we conclude that MCC attains a better defect prediction accuracy than F1-value, AUC of ROC, G-mean and Balance.

    DOI: 10.1109/ACCESS.2022.3232144

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  • Exploring the limits of an RBSC-based approach in solving the subset selection problem 査読

    Furuya Kohei, Zeynep Yücel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

    Proc. International Conference on Data Science and Institutional Research (DSIR 2021)   2021年12月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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  • A Simulation Model of Software Quality Assurance in the Software Lifecycle 査読

    Hiroto Nakahara, Akito Monden, Zeynep Yücel

    International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2021)   2021年12月

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    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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  • Association Metrics Between Two Continuous Variables for Software Project Data 査読

    Takumi Kanehira, Akito Monden, Zeynep Yücel

    International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2021)   2021年12月

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    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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  • On the interplay between vocal production effect and learning content types in e-learning settings 査読

    Kazuma Ohta, Zeynep Yücel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

    2021年12月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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  • ソフトウェア開発工数予測におけるauto-sklearnの適用 査読

    田中 和也, 門田 暁人, Zeynep Yücel

    38 ( 4 )   4_46 - 4_52   2021年11月

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    担当区分:最終著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)  

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  • Task estimation for software company employees based on computer interaction logs 査読

    Florian Pellegrin, Zeynep Yücel, Akito Monden, Pattara Leelaprute

    Empirical Software Engineering   26 ( 5 )   2021年9月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Springer Science and Business Media LLC  

    DOI: 10.1007/s10664-021-10006-4

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    その他リンク: https://link.springer.com/article/10.1007/s10664-021-10006-4/fulltext.html

  • ソフトウェア開発工数予測におけるデータスムージングの定量的評価 査読

    伊永 健人, 門田 暁人, Zeynep Yücel

    コンピュータソフトウェア   38 ( 3 )   3_83 - 3_89   2021年8月

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    担当区分:最終著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)  

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  • Estimating Level of Engagement from Ocular Landmarks 査読

    Zeynep Yücel, Serina Koyama, Akito Monden, Mariko Sasakura

    International Journal of Human–Computer Interaction   36 ( 16 )   1527 - 1539   2020年10月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Informa UK Limited  

    DOI: 10.1080/10447318.2020.1768666

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  • Empirical Evaluation of Mimic Software Project Data Sets for Software Effort Estimation 査読

    Maohua GAN, Zeynep YÜCEL, Akito MONDEN, Kentaro SASAKI

    IEICE Transactions on Information and Systems   E103.D ( 10 )   2094 - 2103   2020年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/transinf.2019edp7150

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  • Investigating effect of stimulus modality on recollection rate in e-learning systems 査読

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)   138 - 141   2020年9月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/iiai-aai50415.2020.00036

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  • Pedestrian Models for Robot Motion 査読

    Francesco Zanlungo, Florent Ferreri, Jani Even, Luis Yoichi Morales, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics   5   525 - 527   2020年8月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:Forschungszentrum Julich, Zentralbibliothek  

    We discuss the development of a robot system able to replicate human group motion and show how a pedestrian model may be converted to a robot control system in order to achieve this goal.

    DOI: 10.17815/cd.2020.90

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  • An Algorithm for Automatic Collation of Vocabulary Decks Based on Word Frequency 査読

    Zeynep YÜCEL, Parisa SUPITAYAKUL, Akito MONDEN, Pattara LEELAPRUTE

    IEICE Transactions on Information and Systems   E103.D ( 8 )   1865 - 1874   2020年8月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/transinf.2019edp7279

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  • Estimating social relation from trajectories 査読

    Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Adrien Gregorj, Takayuki Kanda

    Collective Dynamics   5   222 - 229   2020年3月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:Forschungszentrum Julich, Zentralbibliothek  

    This study focuses on social pedestrian groups in public spaces and makes an effort to identify the social relation between the group members. We particularly consider dyads having coalitional or mating relation. We derive several observables from individual and group trajectories, which are suggested to be distinctive for these two sorts of relations and propose a recognition algorithm taking these observables as features and yielding an estimation of social relation in a probabilistic manner at every sampling step. On the average, we detect coalitional relation with 87% and mating relation with 81% accuracy. To the best of our knowledge, this is the first study to infer social relation from joint (loco)motion patterns and we consider the detection rates to be a satisfactory considering the inherent challenge of the problem.

    DOI: 10.17815/cd.2020.54

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  • Social group behaviour of triads. Dependence on purpose and gender 査読

    Francesco Zanlungo, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics   5   118 - 125   2020年3月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:Forschungszentrum Julich, Zentralbibliothek  

    We analysed a set of uninstructed pedestrian trajectories automatically tracked in a public area, and we asked a human coder to assess their group relationships. For those pedestrians who belong to the groups, we asked the coder to identify their apparent purpose of visit to the tracking area and apparent gender. We studied the quantitative dependence of the group dynamics on such properties in the case of triads (three people groups) and compared them to the two pedestrian group case (dyads), studied in a previous work. We found that the group velocity strongly depends on relation and gender for both triads and dyads, while the influence of these properties on spatial structure of groups is less clear in the triadic case. We discussed the relevance of these results to the modelling of pedestrian and crowd dynamics, and examined the possibility of the future works on this subject.

    DOI: 10.17815/cd.2020.41

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  • Identification of behavioral variables for efficient representation of difficulty in vocabulary learning systems 査読

    Zeynep Yucel, Parisa Supitayakul, Akito Monden, Pattara Leelaprute

    International Journal of Learning Technologies and Learning Environments   3 ( 1 )   51 - 60   2020年

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:International Institute of Applied Informatics  

    DOI: 10.52731/ijltle.v3.i1.521

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  • Gender Profiling of Pedestrian Dyads 査読

    Zeynep Yücel, Francesco Zanlungo, Takayuki Kanda

    Springer Proceedings in Physics   299 - 305   2020年

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:論文集(書籍)内論文   出版者・発行元:Springer International Publishing  

    DOI: 10.1007/978-3-030-55973-1_37

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  • The Effect of Social Groups on the Dynamics of Bi-Directional Pedestrian Flow: A Numerical Study

    Francesco Zanlungo, Luca Crociani, Zeynep Yücel, Takayuki Kanda

    Springer Proceedings in Physics   307 - 313   2020年

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    掲載種別:論文集(書籍)内論文   出版者・発行元:Springer International Publishing  

    DOI: 10.1007/978-3-030-55973-1_38

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  • Intrinsic group behaviour II: On the dependence of triad spatial dynamics on social and personal features; and on the effect of social interaction on small group dynamics 査読

    Francesco Zanlungo, Zeynep Yücel, Takayuki Kanda

    PLOS ONE   14 ( 12 )   e0225704 - e0225704   2019年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Public Library of Science (PLoS)  

    DOI: 10.1371/journal.pone.0225704

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  • ソフトウェアバグ予測における auto-sklearn の有効性評価 査読

    田中 和也, 門田 暁人, Zeynep Yücel

    コンピュータソフトウェア   36 ( 4 )   46 - 52   2019年11月

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    担当区分:最終著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)  

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  • Identification of social relation within pedestrian dyads 査読

    Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Adrien Gregorj, Takayuki Kanda

    PLOS ONE   14 ( 10 )   e0223656 - e0223656   2019年10月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Public Library of Science (PLoS)  

    DOI: 10.1371/journal.pone.0223656

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  • Effect of Grasping Uniformity on Estimation of Grasping Region from Gaze Data 査読

    Pimwalun Witchawanitchanun, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    Proceedings of the 7th International Conference on Human-Agent Interaction   265 - 267   2019年9月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:ACM  

    DOI: 10.1145/3349537.3352787

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  • Quantitative Evaluation of the Relation Between Blink Features and Apparent Task Engagement 査読

    Serina Koyama, Zeynep Yucel, Akito Monden

    PERCEPTION   48   731 - 731   2019年9月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:SAGE PUBLICATIONS LTD  

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  • 相関関数を扱うアソシエーションルールの提案とソフトウェア開発データへの適用 査読

    齊藤 英和, 門田 暁人, Zeynep Yücel, 森崎 修司

    コンピュータソフトウェア   36 ( 3 )   47 - 53   2019年8月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)  

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  • Data Smoothing for Software Effort Estimation 査読

    Kento Korenaga, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)   501 - 506   2019年7月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/snpd.2019.8935841

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  • On Preventing Symbolic Execution Attacks by Low Cost Obfuscation 査読

    Toshiki Seto, Akito Monden, Zeynep Yucel, Yuichiro Kanzaki

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)   495 - 500   2019年7月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/snpd.2019.8935642

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  • Prediction of Software Defects Using Automated Machine Learning 査読

    Kazuya Tanaka, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)   490 - 494   2019年7月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/snpd.2019.8935839

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  • Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning 査読

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)   226 - 229   2019年7月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/iiai-aai.2019.00052

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  • A Glossary forResearch on Human Crowd Dynamics 査読

    Juliane Adrian, Nikolai Bode, Martyn Amos, Mitra Baratchi, Mira Beermann, Maik Boltes, Alessandro Corbetta, Guillaume Dezecache, John Drury, Zhijian Fu, Roland Geraerts, Steve Gwynne, Gesine Hofinger, Aoife Hunt, Tinus Kanters, Angelika Kneidl, Krisztina Konya, Gerta Köster, Mira Küpper, Georgios Michalareas, Fergus Neville, Evangelos Ntontis, Stephen Reicher, Enrico Ronchi, Andreas Schadschneider, Armin Seyfried, Alastair Shipman, Anna Sieben, Michael Spearpoint, Gavin Brent Sullivan, Anne Templeton, Federico Toschi, Zeynep Yücel, Francesco Zanlungo, Iker Zuriguel, Natalie Van der Wal, Frank van Schadewijk, Cornelia von Krüchten, Nanda Wijermans

    CollectiveDynamics   4   1 - 13   2019年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Forschungszentrum Julich, Zentralbibliothek  

    This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

    DOI: 10.17815/cd.2019.19

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  • A Signal Processing Perspective on Human Gait: Decoupling Walking Oscillations and Gestures 査読

    Adrien Gregorj, Zeynep Yücel, Sunao Hara, Akito Monden, Masahiro Shiomi

    Lecture Notes in Computer Science   75 - 85   2019年

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    担当区分:責任著者   記述言語:英語   掲載種別:論文集(書籍)内論文   出版者・発行元:Springer International Publishing  

    DOI: 10.1007/978-3-030-26118-4_8

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  • Kurtosis and Skewness Adjustment for Software Effort Estimation 査読

    Seiji Fukui, Akito Monden, Zeynep Yucel

    2018 25th Asia-Pacific Software Engineering Conference (APSEC)   2018年12月

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    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/apsec.2018.00065

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  • Generation of Mimic Software Project Data Sets for Software Engineering Research 査読

    Maohua Gan, Kentaro Sasaki, Akito Monden, Zeynep Yücel

    Proceedings of the 6th International Workshop on Quantitative Approaches to Software Quality co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan, December 4, 2018.   38 - 43   2018年12月

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    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:CEUR-WS.org  

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  • 移動窓によるソフトウェアバグの行レベル予測の試み 査読

    福谷 圭吾, 門田 暁人, Zeynep Yücel, 畑 秀明

    コンピュータソフトウェア   35 ( 4 )   122 - 128   2018年11月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)  

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  • Cross-Validation-Based Association Rule Prioritization Metric for Software Defect Characterization 査読

    Takashi WATANABE, Akito MONDEN, Zeynep YÜCEL, Yasutaka KAMEI, Shuji MORISAKI

    IEICE Transactions on Information and Systems   E101.D ( 9 )   2269 - 2278   2018年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Institute of Electronics, Information and Communications Engineers (IEICE)  

    DOI: 10.1587/transinf.2018edp7020

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  • Extended Association Rule Mining with Correlation Functions 査読

    Hidekazu Saito, Akito Monden, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)   79 - 84   2018年7月

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    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/bcd2018.2018.00020

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  • Predictability Classification for Software Effort Estimation 査読

    Naoki Kinoshita, Akito Monden, Masateru Tshunoda, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)   43 - 48   2018年7月

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    担当区分:最終著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/bcd2018.2018.00015

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  • Modeling the impact of interaction on pedestrian group motion 招待 査読

    Z. Yücel, F. Zanlungo, M. Shiomi

    Advanced Robotics   32 ( 3 )   137 - 147   2018年2月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Informa UK Limited  

    DOI: 10.1080/01691864.2017.1421481

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  • Proceedings of Pedestrian and Evacuation Dynamics 2016 査読

    Weiguo Song, Jian Ma, Libi Fu

    Collective Dynamics   1   243 - 249   2017年12月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:Forschungszentrum Julich, Zentralbibliothek  

    The 8th International Conference on Pedestrian and Evacuation Dynamics (PED 2016) has been held on October 17–21, 2016 in Hefei, China. PED 2016 Conference offered an opportunity for professionals and scientists with different backgrounds to present and discuss new findings and applications in the field of pedestrian and evacuation dynamics and associated human behavior. The conference aims to provide suggestions for policy makers, planners, designers and emergency management to solve real world problems.Conference topics included, but was not limited to:Pedestrian movement mechanismsPedestrian behavior during disasters: theories, analysis, conclusionsEvacuation and pedestrian data collection from experiments and real eventsData collection techniquesModel developmentLarge-scale and transport modeling methodsModel validation/calibrationPublic transport transfer terminalsRegional evacuationOperational management of highly populated facilitiesEngineering guidanceCitation:Please cite the full conference proceedings as follows:Song, W., Ma, J., Fu, L.; Proceedings of Pedestrian and Evacuation Dynamics 2016, Collective Dynamics, A11, 1-618 (2016). DOI 10.17815/CD.2016.11Single articles inside the proceedings should be cited as:Authors; Title.In: Proceedings of Pedestrian and Evacuation Dynamics 2016, Collective Dynamics, pages (2016)Example:Dambalmath, P., Muhamad, B., Haug, E., Löhner, R.; Fundamental Diagrams for Specific Very High Density Crowds. In: Proceedings of Pedestrian and Evacuation Dynamics 2016, Collective Dynamics, 6-11 (2016)

    DOI: 10.17815/cd.2016.11

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  • Intrinsic group behaviour: Dependence of pedestrian dyad dynamics on principal social and personal features 査読

    Francesco Zanlungo, Zeynep Yücel, Dražen Brščić, Takayuki Kanda, Norihiro Hagita

    PLOS ONE   12 ( 11 )   e0187253 - e0187253   2017年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Public Library of Science (PLoS)  

    DOI: 10.1371/journal.pone.0187253

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  • Walk the Talk: Gestures in Mobile Interaction 査読

    Zeynep Yücel, Francesco Zanlungo, Masahiro Shiomi

    Social Robotics   220 - 230   2017年

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:論文集(書籍)内論文   出版者・発行元:Springer International Publishing  

    DOI: 10.1007/978-3-319-70022-9_22

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  • Social Group Motion in Robots 査読

    Francesco Zanlungo, Zeynep Yücel, Florent Ferreri, Jani Even, Luis Yoichi Morales Saiki, Takayuki Kanda

    Social Robotics   474 - 484   2017年

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    記述言語:英語   掲載種別:論文集(書籍)内論文   出版者・発行元:Springer International Publishing  

    DOI: 10.1007/978-3-319-70022-9_47

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  • An Inference Engine for Estimating Outside States of Clinical Test Items 査読

    Masato Sakata, Zeynep Yücel, Kazuhiko Shinozawa, Norihiro Hagita, Michita Imai, Michiko Furutani, Rumiko Matsuoka

    ACM Transactions on Management Information Systems   4 ( 3 )   1 - 21   2013年10月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Association for Computing Machinery (ACM)  

    Common periodical health check-ups include several clinical test items with affordable cost. However, these standard tests do not directly indicate signs of most lifestyle diseases. In order to detect such diseases, a number of additional specific clinical tests are required, which increase the cost of the health check-up. This study aims to enrich our understanding of the common health check-ups and proposes a way to estimate the signs of several lifestyle diseases based on the standard tests in common examinations without performing any additional specific tests. In this manner, we enable a diagnostic process, where the physician may prefer to perform or avoid a costly test according to the estimation carried out through a set of common affordable tests. To that end, the relation between standard and specific test results is modeled with a multivariate kernel density estimate. The condition of the patient regarding a specific test is assessed following a Bayesian framework. Our results indicate that the proposed method achieves an overall estimation accuracy of 84%. In addition, an outstanding estimation accuracy is achieved for a subset of high-cost tests. Moreover, comparison with standard artificial intelligence methods suggests that our algorithm outperforms the conventional methods.


    Our contributions are as follows: (i) promotion of affordable health check-ups, (ii) high estimation accuracy in certain tests, (iii) generalization capability due to ease of implementation on different platforms and institutions, (iv) flexibility to apply to various tests and potential to improve early detection rates.

    DOI: 10.1145/2517084

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  • Joint Attention by Gaze Interpolation and Saliency 査読

    Z. Yucel, A. A. Salah, C. Mericli, T. Mericli, R. Valenti, T. Gevers

    IEEE Transactions on Cybernetics   43 ( 3 )   829 - 842   2013年6月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Institute of Electrical and Electronics Engineers (IEEE)  

    DOI: 10.1109/tsmcb.2012.2216979

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  • Deciphering the Crowd: Modeling and Identification of Pedestrian Group Motion 査読

    Zeynep Yücel, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

    Sensors   13 ( 1 )   875 - 897   2013年1月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:MDPI AG  

    DOI: 10.3390/s130100875

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  • Modeling and Identification of Group Motion via Compound Evaluation of Positional and Directional Cues 査読

    Zeynep Yuecel, Takahiro Miyashita, Norihiro Hagita

    International Conference on Pattern Recognition   1172 - 1176   2012年11月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    This paper addresses the problem of identification of pedestrian groups in crowded environments. To that end, positional and directional relations are modeled accounting for different environmental features and group configurations. Subsequently, a pair of simultaneously observed pedestrians is identified to belong to the same group or not utilizing these models in a parallel manner, which defines a compound hypothesis testing scheme. In case of ambiguities, local and global indicators of group relation are employed in quantifying the reliabilities of the two individual decisions. The contribution of this study lies in the improvement in positional and directional relation models to adjust to different environments and group configurations, description of compound evaluation, as well as resolution of ambiguities proposing uncertainty measures based on local and global indicators of group relation.

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    その他リンク: http://dblp.uni-trier.de/db/conf/icpr/icpr2012.html#conf/icpr/YiicelMH12

  • Modeling indicators of coherent motion 査読

    Zeynep Ycel, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

    2012 IEEE/RSJ International Conference on Intelligent Robots and Systems   2134 - 2140   2012年10月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/iros.2012.6385744

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  • Identification of mobile entities based on trajectory and shape information 査読

    Z. Yucel, T. Ikeda, T. Miyashita, N. Hagita

    2011 IEEE/RSJ International Conference on Intelligent Robots and Systems   3589 - 3594   2011年9月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/iros.2011.6094852

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  • Watermarking via zero assigned filter banks 査読

    Zeynep Yücel, A. Bülent Özgüler

    Signal Processing   90 ( 2 )   467 - 479   2010年2月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    DOI: 10.1016/j.sigpro.2009.07.012

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  • Joint visual attention modeling for naturally interacting robotic agents 査読

    Z. Yucel, A.A. Salah, C. Mericli, T. Mericli

    2009 24th International Symposium on Computer and Information Sciences   242 - 247   2009年9月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/iscis.2009.5291820

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  • Resolution of focus of attention using gaze direction estimation and saliency computation 査読

    Zeynep Yucel, Albert Ali Salah

    2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops   1 - 6   2009年9月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/acii.2009.5349547

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  • Head Pose and Neural Network Based Gaze Direction Estimation for Joint Attention Modeling in Embodied Agents 査読

    Zeynep Yucel, Albert Ali Salah

    The Annual Meeting of Cognitive Science Society   3139 - 3144   2009年7月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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  • Robustifying eye center localization by head pose cues 査読

    Roberto Valenti, Zeynep Yucel, Theo Gevers

    2009 IEEE Conference on Computer Vision and Pattern Recognition   612 - 618   2009年6月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/cvpr.2009.5206640

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  • Automated discrimination of psychotropic drugs in mice via computer vision-based analysis 査読

    Zeynep Yucel, Yidirim Sara, Pinar Duygulu, Rustu Onur, Emre Esen, A. Bulent Ozguler

    JOURNAL OF NEUROSCIENCE METHODS   180 ( 2 )   234 - 242   2009年6月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:ELSEVIER SCIENCE BV  

    We developed an inexpensive computer vision-based method utilizing an algorithm which differentiates drug-induced behavioral alterations. The mice were observed in an open-field arena and their activity was recorded for 100 min. For each animal the first 50 min of observation were regarded as the drug-free period. Each animal was exposed to only one drug and they were injected (i.p.) with either amphetamine or cocaine as the stimulant drugs or morphine or diazepam as the inhibitory agents. The software divided the arena into virtual grids and calculated the number of visits (sojourn counts) to the grids and instantaneous speeds within these grids by analyzing video data. These spatial distributions of sojourn counts and instantaneous speeds were used to construct feature vectors which were fed to the classifier algorithms for the final step of matching the animals and the drugs. The software decided which of the animals were drug-treated at a rate of 96%. The algorithm achieved 92% accuracy in sorting the data according to the increased or decreased activity and then determined which drug was delivered. The method differentiated the type of psychostimulant or inhibitory drugs with a success ratio of 70% and 80%, respectively. This method provides a new way to automatically evaluate and classify drug-induced behaviors in mice. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.jneumeth.2009.03.014

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  • Detection of epileptic indicators on clinical subbands of EEG. 査読

    Zeynep Yücel, Özgüler

    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008   1 - 5   2008年8月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

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    その他リンク: http://dblp.uni-trier.de/db/conf/eusipco/eusipco2008.html#conf/eusipco/YucelO08

  • An image watermarking algorithm via zero assigned filter banks 査読

    Z. Yucel, A.B. Ozguler

    Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.   363 - 368   2005年9月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    DOI: 10.1109/isspit.2005.1577124

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  • An Audio Watermarking Algorithm via Zero Assigned Filter Banks 査読

    Zeynep Yucel, Arif Bulent Ozguler

    European Signal Processing Conference   1 - 4   2005年8月

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    担当区分:筆頭著者, 責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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MISC

  • Some considerations on crowd Congestion Level

    Francesco Zanlungo, Claudio Feliciani, Zeynep Yucel, Katsuhiro Nishinari, Takayuki Kanda

    arXiv: 2004.01883   2020年4月

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    記述言語:英語   掲載種別:速報,短報,研究ノート等(学術雑誌)  

    The concept of (crowd) Congestion Level ($CL$) was introduced in Feliciani et
    al (Transportation Research, 2018) and presented at the PED 2018 conference by
    C. Feliciani. Following the PED presentation, along with appreciation for the
    novel contribution, a few interesting questions were raised, concerning the
    integral/differential nature of the definition of $CL$, and the possibility of
    defining a related pure number. In these short notes we are going, although
    with no attempt at rigour or formality, to present some considerations
    suggesting that the two problems are related, and providing a possible
    solution. Furthermore, using both theoretical arguments and analysis of
    simulated data in complex scenarios, we will try to shed further light on the
    meaning and applications of this concept. Finally, we analyse some results of
    an experiment performed with human participants in a ``crossing-flows''
    scenario.

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    その他リンク: http://arxiv.org/pdf/2004.01883v1

  • Estimation of affect scores accounting for user responsiveness

    Hoang Nguyen, Serina Koyama, Zeynep Yucel, Akito Monden, Mariko Sasakura

    36th   ROMBUNNO.1I2‐01   2018年9月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)  

    J-GLOBAL

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  • 計算機上のソフトウェア開発作業の自動推定の検討

    清水良介, 門田暁人, Zeynep Yucel, 上野 秀剛

    30 - 31   2018年1月

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    記述言語:日本語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)  

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  • Calibration of distributed multimodal sensor networks using cross‐correlation of arrival processes

    Parisa Supitayakul, Zeynep Yucel, Francesco Zanlungo, Akito Monden, Pattara Leelaprute

    35th   ROMBUNNO.1C3‐05   2017年9月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)  

    J-GLOBAL

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  • Autonomous vehicles moving as a human group

    2017年9月

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    記述言語:英語   掲載種別:研究発表ペーパー・要旨(国際会議)  

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  • 移動軌跡に基づく歩行者グループのインタラクション検出

    Zeynep Yuucel, Francesco Zanlungo, 塩見昌裕

    3W2-04   2016年7月

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    担当区分:筆頭著者   記述言語:日本語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)  

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  • Derivation of gaze direction from head pose estimates 査読

    Zeynep Yucel, Albert Ali Salah, Cetin Mericli, Tekin Mericli

    2010 IEEE 18th Signal Processing and Communications Applications Conference   224 - 227   2010年4月

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    担当区分:筆頭著者, 責任著者   記述言語:トルコ語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)   出版者・発行元:IEEE  

    DOI: 10.1109/siu.2010.5652736

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  • Cylindrical model based head pose estimation for drivers 査読

    Zeynep Yucel, Roberto Valenti, Nicu Sebe

    2009 IEEE 17th Signal Processing and Communications Applications Conference   213 - 216   2009年4月

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    担当区分:筆頭著者, 責任著者   記述言語:トルコ語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)   出版者・発行元:IEEE  

    DOI: 10.1109/siu.2009.5136370

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  • Detection of epilepsy seizures and epileptic indicators in EEG signals 査読

    Zeynep Yucel, A. Bulent Ozguler

    2008 IEEE 16th Signal Processing, Communication and Applications Conference   1 - 4   2008年4月

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    担当区分:筆頭著者, 責任著者   記述言語:トルコ語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)   出版者・発行元:IEEE  

    DOI: 10.1109/siu.2008.4632759

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  • Computer Vision Based Classification of Videos of Mice Under The Influence of Several Psychotropic Drugs

    Zeynep Yücel, Emre Esen, Pinar Duygulu, Yildirim Sara, Rustu Onur, A. Bülent Ozguler

    National Congress of Pharmacology   2007年10月

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    担当区分:筆頭著者, 責任著者   記述言語:トルコ語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)  

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  • Discrimination of pharmaceutical agents that cause locomotor activity changes in mice using computer software

    Emre Esen, Zeynep Yücel, Yildirim Sara, Pinar Duygulu, Rustu Onur

    2007年10月

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    記述言語:トルコ語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)  

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  • Color and Grey Level Image Watermarking via Zero Assigned Filter Banks 査読

    Z. Yucel, A.B. Ozguler

    2006 IEEE 14th Signal Processing and Communications Applications   1 - 4   2006年4月

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    担当区分:筆頭著者, 責任著者   記述言語:トルコ語   掲載種別:研究発表ペーパー・要旨(全国大会,その他学術会議)   出版者・発行元:IEEE  

    DOI: 10.1109/siu.2006.1659862

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講演・口頭発表等

  • Investigating effect of stimulus modality on recollection rate in e-learning systems

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)  2020年9月  IEEE

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    開催年月日: 2020年9月

    記述言語:英語   会議種別:口頭発表(一般)  

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  • Pedestrian Models for Robot Motion

    Francesco Zanlungo, Florent Ferreri, Jani Even, Luis Yoichi Morales, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics  2020年8月12日  Forschungszentrum Julich, Zentralbibliothek

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    開催年月日: 2020年8月12日

    記述言語:英語   会議種別:口頭発表(一般)  

    We discuss the development of a robot system able to replicate human group motion and show how a pedestrian model may be converted to a robot control system in order to achieve this goal.

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  • Social group behaviour of triads. Dependence on purpose and gender

    Francesco Zanlungo, Zeynep Yücel, Takayuki Kanda

    Collective Dynamics  2020年3月27日  Forschungszentrum Julich, Zentralbibliothek

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    開催年月日: 2020年3月27日

    記述言語:英語  

    We analysed a set of uninstructed pedestrian trajectories automatically tracked in a public area, and we asked a human coder to assess their group relationships. For those pedestrians who belong to the groups, we asked the coder to identify their apparent purpose of visit to the tracking area and apparent gender. We studied the quantitative dependence of the group dynamics on such properties in the case of triads (three people groups) and compared them to the two pedestrian group case (dyads), studied in a previous work. We found that the group velocity strongly depends on relation and gender for both triads and dyads, while the influence of these properties on spatial structure of groups is less clear in the triadic case. We discussed the relevance of these results to the modelling of pedestrian and crowd dynamics, and examined the possibility of the future works on this subject.

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  • Estimating social relation from trajectories

    Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Adrien Gregorj, Takayuki Kanda

    Collective Dynamics  2020年3月27日  Forschungszentrum Julich, Zentralbibliothek

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    開催年月日: 2020年3月27日

    記述言語:英語   会議種別:口頭発表(一般)  

    This study focuses on social pedestrian groups in public spaces and makes an effort to identify the social relation between the group members. We particularly consider dyads having coalitional or mating relation. We derive several observables from individual and group trajectories, which are suggested to be distinctive for these two sorts of relations and propose a recognition algorithm taking these observables as features and yielding an estimation of social relation in a probabilistic manner at every sampling step. On the average, we detect coalitional relation with 87% and mating relation with 81% accuracy. To the best of our knowledge, this is the first study to infer social relation from joint (loco)motion patterns and we consider the detection rates to be a satisfactory considering the inherent challenge of the problem.

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  • Gender Profiling of Pedestrian Dyads

    Zeynep Yücel, Francesco Zanlungo, Takayuki Kanda

    Springer Proceedings in Physics  2020年  Springer International Publishing

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    開催年月日: 2020年

    記述言語:英語  

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  • Effect of Grasping Uniformity on Estimation of Grasping Region from Gaze Data

    Pimwalun Witchawanitchanun, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    Proceedings of the 7th International Conference on Human-Agent Interaction  2019年9月25日  ACM

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    開催年月日: 2019年9月25日

    記述言語:英語  

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  • Quantitative Evaluation of the Relation Between Blink Features and Apparent Task Engagement

    Serina Koyama, Zeynep Yucel, Akito Monden

    PERCEPTION  2019年9月  SAGE PUBLICATIONS LTD

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    開催年月日: 2019年9月

    記述言語:英語  

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  • Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning

    Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

    2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)  2019年7月  IEEE

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    開催年月日: 2019年7月

    記述言語:英語  

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  • On Preventing Symbolic Execution Attacks by Low Cost Obfuscation

    Toshiki Seto, Akito Monden, Zeynep Yucel, Yuichiro Kanzaki

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  2019年7月  IEEE

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    開催年月日: 2019年7月

    記述言語:英語  

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  • Prediction of Software Defects Using Automated Machine Learning

    Kazuya Tanaka, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  2019年7月  IEEE

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    開催年月日: 2019年7月

    記述言語:英語  

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  • Data Smoothing for Software Effort Estimation

    Kento Korenaga, Akito Monden, Zeynep Yucel

    2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  2019年7月  IEEE

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    開催年月日: 2019年7月

    記述言語:英語  

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  • A Signal Processing Perspective on Human Gait: Decoupling Walking Oscillations and Gestures

    Adrien Gregorj, Zeynep Yücel, Sunao Hara, Akito Monden, Masahiro Shiomi

    Lecture Notes in Computer Science  2019年  Springer International Publishing

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    開催年月日: 2019年

    記述言語:英語  

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  • Kurtosis and Skewness Adjustment for Software Effort Estimation

    Seiji Fukui, Akito Monden, Zeynep Yucel

    2018 25th Asia-Pacific Software Engineering Conference (APSEC)  2018年12月  IEEE

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    開催年月日: 2018年12月

    記述言語:英語  

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  • Generation of Mimic Software Project Data Sets for Software Engineering Research

    Maohua Gan, Kentaro Sasaki, Akito Monden, Zeynep Yücel

    Proceedings of the 6th International Workshop on Quantitative Approaches to Software Quality co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan, December 4, 2018.  2018年12月  CEUR-WS.org

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    開催年月日: 2018年12月

    記述言語:英語  

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  • Predictability Classification for Software Effort Estimation

    Naoki Kinoshita, Akito Monden, Masateru Tshunoda, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)  2018年7月  IEEE

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    開催年月日: 2018年7月

    記述言語:英語  

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  • Extended Association Rule Mining with Correlation Functions

    Hidekazu Saito, Akito Monden, Zeynep Yucel

    2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)  2018年7月  IEEE

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    開催年月日: 2018年7月

    記述言語:英語  

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  • Walk the Talk: Gestures in Mobile Interaction

    Zeynep Yücel, Francesco Zanlungo, Masahiro Shiomi

    Social Robotics  2017年  Springer International Publishing

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    開催年月日: 2017年

    記述言語:英語  

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  • Social Group Motion in Robots

    Francesco Zanlungo, Zeynep Yücel, Florent Ferreri, Jani Even, Luis Yoichi Morales Saiki, Takayuki Kanda

    Social Robotics  2017年  Springer International Publishing

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    開催年月日: 2017年

    記述言語:英語  

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  • Modeling and Identification of Group Motion via Compound Evaluation of Positional and Directional Cues

    Zeynep Yuecel, Takahiro Miyashita, Norihiro Hagita

    International Conference on Pattern Recognition  2012年11月  IEEE

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    開催年月日: 2012年11月

    記述言語:英語  

    This paper addresses the problem of identification of pedestrian groups in crowded environments. To that end, positional and directional relations are modeled accounting for different environmental features and group configurations. Subsequently, a pair of simultaneously observed pedestrians is identified to belong to the same group or not utilizing these models in a parallel manner, which defines a compound hypothesis testing scheme. In case of ambiguities, local and global indicators of group relation are employed in quantifying the reliabilities of the two individual decisions. The contribution of this study lies in the improvement in positional and directional relation models to adjust to different environments and group configurations, description of compound evaluation, as well as resolution of ambiguities proposing uncertainty measures based on local and global indicators of group relation.

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    その他リンク: http://dblp.uni-trier.de/db/conf/icpr/icpr2012.html#conf/icpr/YiicelMH12

  • Modeling indicators of coherent motion

    Zeynep Ycel, Francesco Zanlungo, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

    2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  2012年10月  IEEE

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    開催年月日: 2012年10月

    記述言語:英語  

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  • Identification of mobile entities based on trajectory and shape information

    Z. Yucel, T. Ikeda, T. Miyashita, N. Hagita

    2011 IEEE/RSJ International Conference on Intelligent Robots and Systems  2011年9月  IEEE

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    開催年月日: 2011年9月

    記述言語:英語  

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  • Resolution of focus of attention using gaze direction estimation and saliency computation

    Zeynep Yucel, Albert Ali Salah

    2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops  2009年9月  IEEE

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    開催年月日: 2009年9月

    記述言語:英語  

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  • Joint visual attention modeling for naturally interacting robotic agents

    Z. Yucel, A.A. Salah, C. Mericli, T. Mericli

    2009 24th International Symposium on Computer and Information Sciences  2009年9月  IEEE

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    開催年月日: 2009年9月

    記述言語:英語  

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  • Head Pose and Neural Network Based Gaze Direction Estimation for Joint Attention Modeling in Embodied Agents

    Zeynep Yucel, Albert Ali Salah

    The Annual Meeting of Cognitive Science Society  2009年7月 

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    開催年月日: 2009年7月

    記述言語:英語  

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  • Robustifying eye center localization by head pose cues

    Roberto Valenti, Zeynep Yucel, Theo Gevers

    2009 IEEE Conference on Computer Vision and Pattern Recognition  2009年6月  IEEE

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    開催年月日: 2009年6月

    記述言語:英語  

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  • Detection of epileptic indicators on clinical subbands of EEG.

    Zeynep Yücel, Özgüler

    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008  2008年8月  IEEE

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    開催年月日: 2008年8月

    記述言語:英語  

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    その他リンク: http://dblp.uni-trier.de/db/conf/eusipco/eusipco2008.html#conf/eusipco/YucelO08

  • An image watermarking algorithm via zero assigned filter banks

    Z. Yucel, A.B. Ozguler

    Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.  2005年9月  IEEE

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    開催年月日: 2005年9月

    記述言語:英語  

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  • An Audio Watermarking Algorithm via Zero Assigned Filter Banks

    Zeynep Yucel, Arif Bulent Ozguler

    European Signal Processing Conference  2005年8月 

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    開催年月日: 2005年8月

    記述言語:英語  

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  • Interaction in Dynamic Scenarios of HRI 招待

    Zeynep Yucel

    Istanbul Technical University, Department of Computer Science  2019年8月19日 

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    記述言語:英語   会議種別:口頭発表(招待・特別)  

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  • Considerations in the design of social interaction robots 招待

    Linnaeus University, Department of Computer Science and Media Technology  2018年8月20日 

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    記述言語:英語   会議種別:口頭発表(招待・特別)  

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  • Human behavior understanding for social robotics 招待

    Nishinari Lab, Tokyo University  2017年12月11日 

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    記述言語:英語   会議種別:口頭発表(招待・特別)  

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  • Interaction in Static and Dynamic Scenarios of HRI 招待

    Department of Information Eng. and Computer Science University of Trento  2017年9月1日 

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    記述言語:英語   会議種別:口頭発表(招待・特別)  

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  • Pedestrian Group Interaction for Social Robotics Applications 招待

    Dipart. Informatica Sistemistica e Comunicazione Milano Bicocca University  2017年8月28日 

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    記述言語:英語   会議種別:口頭発表(招待・特別)  

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  • Social Interaction Robots 招待

    Hacettepe Universitesi BYO Summer School  2017年8月23日 

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    記述言語:英語   会議種別:口頭発表(招待・特別)  

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受賞

  • Honorable Mention Award

    2022年7月   International Conference on Smart Computing and Artificial Intelligence (SCAI 2022)   A computationally efficient approach for solving RBSC-based formulation of the subset selection problem

    Kohei Furuya, Zeynep Yücel, Parisa Supitayakul, Akito Monden

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  • Outstanding Paper Award

    2022年7月   International Conference on Learning Technologies and Learning Environments (LTLE 2022)   Investigating the effect of various types of audio reinforcement on memory retention

    Parisa Supitayakul, Zeynep Yücel, Misato Nose, Akito Monden

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  • Cutting Edge of Robotics in Japan

    2017年  

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    受賞国:日本国

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  • Seal of excellence

    2016年  

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共同研究・競争的資金等の研究

  • モバイルHRIの基盤技術とインタラクション設計論の創出

    研究課題/領域番号:18H04121  2018年04月 - 2022年03月

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    神田 崇行, 佐竹 聡, 塩見 昌裕, ZANLUNGO Frances, Yucel Zeynep, 野村 竜也

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    配分額:43420000円 ( 直接経費:33400000円 、 間接経費:10020000円 )

    本研究は、ヒューマンロボットインタラクション(HRI)の研究課題の中で、人々とロボットの互いが移動しながらの状況でのインタラクション、すなわちモバイルHRI、の研究に取り組むものである。「モバイルHRIの基礎となる認識技術とナビゲーション技術の実現」と「人々の認知的特性の解明とインタラクション設計、実証実験」の2つの研究課題を設定して研究に取り組んできた。
    2年目である本年度は、「モバイルHRIの基礎となる認識技術とナビゲーション技術の実現」に関しては、シミュレーション環境の中でモバイルHRIの場面を再現し、意図の認識や、ナビゲーションを行うモジュールの開発への利用を進めた。また、歩行時における人の意図認識に重要となる、歩行中腕動作の有無を推定する技術の研究開発に取り組んだ。
    「人々の認知的特性の解明とインタラクション設計、実証実験」に関しては、ロボットの存在効果について、対人不安の強い人間において人よりもロボットとの対話が好まれる傾向を実験的に検証した。また、現在の視覚情報と会話の受け答えに基づき、歩行中の雑談トピックを選択する仕組みに関する研究を進めた。HRIにおけるジェンダー研究の社会的影響についても考察を行った。また、ツアーガイドのように非明示的に進路を伝えながらも互いに会話しながら移動するロボットの実装を進め、このロボットに関するモバイルHRIの場面でのインタラクションのフィールド実験の準備も進めている。

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  • Automatic detection of level of students' engagement

    研究課題/領域番号:18K18168  2018年04月 - 2021年03月

    日本学術振興会  科学研究費助成事業 若手研究  若手研究

    Yucel Zeynep

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    配分額:3380000円 ( 直接経費:2600000円 、 間接経費:780000円 )

    We decided to build empirical models for the four behavioral variables derived from facial landmarks. To that end, we used kernel density estimation. In addition, we considered the extremities of engagement level (fully engaged and completely disengaged) as benchmark states. In that respect, we obtained 8 models corresponding to the pair of each of the four behavioral variables and two benchmark states.
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    We then proposed a probabilistic method for estimating level of engagement. In that respect, each feature value is evaluated in its two corresponding models representing the benchmark states. Making use of the fact that these are complementary, we computed the probability of engagement.
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    Our results indicate that, the features provide considerable accuracy for distinguishing the two (benchmark) states.

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  • 自律型エージェントのための人らしい振る舞いとインタラクションの設計

    研究課題/領域番号:16J40223  2016年04月 - 2020年03月

    日本学術振興会  科学研究費助成事業 特別研究員奨励費  特別研究員奨励費

    YUCEL Zeynep, YUCEL ZEYNEP

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    配分額:3250000円 ( 直接経費:2500000円 、 間接経費:750000円 )

    I published the research achievements of this projects in two conference papers. Basically, the following findings are the important points of these papers which demonstrate academic significance:
    i. Group recognition: The motion models developed for recognising pedestrian groups are applied to our dataset and it is demonstrated that the group recognition algorithm works with significant accuracy in the presence of strong flow direction, low-to-medium density and for multi-person groups.
    ii. Interaction recognition: An interaction recognition stage is integrated into the group recognition method and it is demonstrated that considerable rates of performance are achieved.
    iii. Indicators of various gestures: The indicators of coherent motion are investigated with respect to the gestures of interaction and it is demonstrated that different gestures yield different motion patterns.
    iv. Variation on motion patterns with respect to interacting peers: The groups are analysed with respect to the interacting side (peer) and it is demonstrated that the peer who is active in interaction is positioned behind within 2-people (2p) groups to have his partner in the field of view. In addition, the not-interacting groups are observed to keep a more disperse distribution compared to interacting groups.

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担当授業科目

  • アルゴリズムと計算量 (2022年度) 第2学期  - 金5~6

  • グラフ理論 (2022年度) 第1学期  - 月3~4,木5~6

  • グラフ理論(情報) (2022年度) 第1学期  - 月3~4,木5~6

  • 上級線形代数 (2022年度) 前期  - その他

  • 人間行動分析学 (2022年度) 後期  - その他

  • 工学安全教育 (2022年度) 第3学期  - 金5~6

  • 工学安全教育 (2022年度) 第3学期  - 金5~6

  • 技術英語 (2022年度) 後期  - その他

  • 数理論理学 (2022年度) 第3学期  - 水3~4

  • 数理論理学 (2022年度) 第3学期  - 水3~4

  • 数理論理学 (2022年度) 第3学期  - 水3~4

  • 知能ソフトウェア基礎学演習 (2022年度) 通年  - その他

  • 表現技法1 (2022年度) 前期  - その他

  • 表現技法2 (2022年度) 後期  - その他

  • 電子情報システム工学特別研究 (2022年度) 通年  - その他

  • 電子情報システム工学論 (2022年度) 前期  - 金1,金2

  • アルゴリズムと計算量 (2021年度) 第2学期  - 金5,金6

  • アルゴリズムと計算量 (2021年度) 第2学期  - 金5,金6

  • グラフ理論 (2021年度) 第1学期  - 月3,月4,木3,木4

  • グラフ理論 (2021年度) 第1学期  - 月3,月4,木3,木4

  • プログラミング言語論 (2021年度) 第1学期  - その他

  • プログラミング言語論 (2021年度) 第1学期  - その他

  • 上級線形代数 (2021年度) 後期  - 火3~4

  • 人間行動分析学 (2021年度) 後期  - その他

  • 工学安全教育 (2021年度) 第3学期  - 金5,金6

  • 工学安全教育 (2021年度) 第3学期  - 金5,金6

  • 工学安全教育 (2021年度) 第3学期  - 金5,金6

  • 技術英語 (2021年度) 後期  - その他

  • 知能ソフトウェア基礎学演習 (2021年度) 通年  - その他

  • 表現技法1 (2021年度) 前期  - その他

  • 表現技法2 (2021年度) 後期  - その他

  • 電子情報システム工学特別研究 (2021年度) 通年  - その他

  • 電子情報システム工学論 (2021年度) 前期  - 金1,金2

  • アルゴリズムと計算量 (2020年度) 第2学期  - 金5,金6

  • アルゴリズムと計算量 (2020年度) 第2学期  - 金5,金6

  • グラフ理論 (2020年度) 第1学期  - 月3,月4,木3,木4

  • グラフ理論 (2020年度) 第1学期  - 月3,月4,木3,木4

  • 上級線形代数 (2020年度) 後期  - 火

  • 技術英語 (2020年度) 後期  - その他

  • 表現技法1 (2020年度) 前期  - その他

  • 表現技法2 (2020年度) 後期  - その他

  • 電子情報システム工学特別研究 (2020年度) 通年  - その他

▼全件表示