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  • 2024

    Pattern Recognition Techniques in Image-Based Material Classification of Ancient Manuscripts

    Dhali, M. A., Reynolds, T., Alizadeh, A. Z., Nijdam, S. H. & Schomaker, L., 22-Feb-2024, Lecture Notes in Computer Science: Pattern Recognition Applications and Methods. Switzerland: Springer, Vol. 14547. p. 124–150 27 p.

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  • 2023

    Segmentation Of Organoid Cultures Images Using Diffusion Networks with Triplet Loss

    Haja, A., Zhelev, I. & Schomaker, L., 9-Nov-2023, Proceedings of 2023 10th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2023). ACM Press, p. 1-10 10 p.

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  • 2021

    A Fully Automated End-to-End Process for Fluorescence Microscopy Images of Yeast Cells: From Segmentation to Detection and Classification

    Haja, A. & Schomaker, L. R. B., 15-Aug-2021, Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021): Medical Imaging and Computer-Aided Diagnosis. Su, R., Zhang, Y.-D. & Liu, H. (eds.). Singapore: Springer, p. 37-46 10 p. (Lecture Notes in Electrical Engineering; vol. 784).

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    1 Citation (Scopus)
    47 Downloads (Pure)

  • Lifelong Learning for Text Retrieval and Recognition in Historical Handwritten Document Collections

    Schomaker, L., 2021, Handwritten Historical Document Analysis, Recognition, and Retrieval — State of the Art and Future Trends: Series in Machine Perception and Artificial Intelligence. Fischer, A., Liwicki, M. & Ingold, R. (eds.). World Scientific Publishing, Vol. 89. p. 221-248 (Series in Machine Perception and Artificial Intelligence; vol. 89).

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  • 2020

    A Discussion Game for the Credulous Decision Problem of Abstract Dialectical Frameworks under Preferred Semantics

    Keshavarzi Zafarghandi, A., Jun-2020, Online Handbook ofArgumentation for AI. Castagna, F., Mosca, F., Mumford, J., Sarkadi, S. & Xydis, A. (eds.). arXiv, Vol. 1. p. 12-16

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  • A discussion game for the grounded semantics of abstract dialectical frameworks

    Zafarghandi, A. K., Verbrugge, R. & Verheij, B., 31-Aug-2020, Frontiers in Artificial Intelligence and Applications. Prakken, H. (ed.). IOS Press, p. 431-442 12 p. (Frontiers in Artificial Intelligence and Applications; vol. 326).

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    5 Citations (Scopus)
    75 Downloads (Pure)

  • Alternative quantitative methods in psycholinguistics: Implications for theory and design

    van Rij, J., Vaci, N., Wurm, L. H. & Feldman, L. B., 2020, Word Knowledge and Word Usage: A Cross-Disciplinary Guide to the Mental Lexicon. Pirrelli, V., Plag, I. & Dressler, W. U. (eds.). De Gruyter Mouton, p. 83-126 44 p. (Trends in Linguistics. Studies and Monographs [TiLSM]; vol. 337).

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  • Biophysics of the Lateral Line and Applications

    Wolf, B. & van Netten, S., 2020, The Senses: A Comprehensive Reference (Second Edition). Fritzsch, B. (ed.). 2 ed. Elsevier Science, Vol. 7. p. 116-132 17 p.

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  • Case-based reasoning with precedent models: Preliminary report

    Zheng, H., Grossi, D. & Verheij, B., 31-Aug-2020, Frontiers in Artificial Intelligence and Applications. Prakken, H. (ed.). IOS Press, p. 443-450 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 326).

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    9 Citations (Scopus)
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  • Dealing with Unreliable Agents in Dynamic Gossip

    van den Berg, L. & Gattinger, M., 22-Dec-2020, Dynamic Logic. New Trends and Applications: Third International Workshop, DaLí 2020, Prague, Czech Republic, October 9–10, 2020, Revised Selected Papers. Martins, M. A. & Sedlár, I. (eds.). Springer, p. 51-67 17 p. (Lecture Notes in Computer Science; vol. 12569).

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  • Deep Learning with Data Augmentation for Fruit Counting

    Pawara, P., Boshchenko, A., Schomaker, L. R. B. & Wiering, M. A., 2020, 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020: Proceedings, Part I . Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R. & Zurada, J. M. (eds.). Springer, p. 203-214 ( Lecture Notes in Computer Science; vol. 12415).

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    2 Citations (Scopus)

  • Expressiveness of SETAFs and Support-Free ADFs under 3-valued Semantics

    Keshavarzi Zafarghandi, A., Woltran, S. & Dvorak, W., 2020, Computational Models of Argument. Prakken, H. (ed.). IOS Press, p. 191-202 12 p. ( Frontiers in Artificial Intelligence and Applications; vol. 326).

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    3 Citations (Scopus)
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  • Near Real-Time Detection of Misinformation on Online Social Networks

    van de Guchte, L., Raaijmakers, S., Meeuwissen, E. & Spenader, J., 2020, Disinformation in Open Online Media: Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings. van Duijn, M., Preuss, M., Spaiser, V., Takes, F. & Verberne, S. (eds.). Cham: Springer, p. 246-260 15 p. (Lecture Notes in Computer Science; vol. 12259).

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    1 Citation (Scopus)
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  • SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction

    van Dongen, T., Maillette de Buy Wenniger, G. & Schomaker, L., 29-Nov-2020, Proceedings of the First Workshop on Scholarly Document Processing. Chandrasekaran, M. K. (ed.). Association for Computational Linguistics (ACL), p. 148-157 10 p.

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  • 2019

    A Comparison of Two Hybrid Methods for Analyzing Evidential Reasoning

    van Leeuwen, L. & Verheij, B., 2019, Legal Knowledge and Information Systems. JURIX 2019: The Thirty-second Annual Conference. Araszkiewicz, M. & Rodríguez-Doncel, V. (eds.). Amsterdam: IOS Press, p. 53-62 ( Frontiers in Artificial Intelligence and Applications; vol. 322).

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    3 Citations (Scopus)
    69 Downloads (Pure)

  • CentroidNet: A Deep Neural Network for Joint Object Localization and Counting

    Dijkstra, K., van de Loosdrecht, J., Schomaker, L. R. B. & Wiering, M. A., 2019, ECML PKDD 2018: Machine Learning and Knowledge Discovery in Databases. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurly, N. (eds.). Cham: Springer, p. 585-601 17 p. ( Lecture Notes in Computer Science; vol. 11053).

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    23 Citations (Scopus)

  • Discussion Games for Preferred Semantics of Abstract Dialectical Frameworks

    Keshavarzi Zafarghandi, A., Verbrugge, R. & Verheij, B., 2019, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Kern-Isberner, G. & Ognjanović, Z. (eds.). Cham: Springer, p. 62-73 12 p. (Lecture Notes in Computer Science ; vol. 11726).

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    5 Citations (Scopus)
    133 Downloads (Pure)

  • Early Detection of Sepsis Induced Deterioration Using Machine Learning

    Dal Canton, F., Wiering, M. & Quinten, V., 25-Sept-2019, BNAIC 2018: Benelux Conference on Artificial Intelligence. Atzmueller, M. & Duivestijn, W. (eds.). Springer, p. 1-15 (Communications in Computer and Information Science; vol. 1021).

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  • Extra Domain Data Generation with Generative Adversarial Nets

    Boulogne, L., Dijkstra, K. & Wiering, M., 28-Jan-2019, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Institute of Electrical and Electronics Engineers Inc., p. 1403-1410 8 p. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018; vol. 13, no. 2).

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  • Functional knowledge requirements for interactive task learning

    Wray, R., Taatgen, N., Lebiere, C., Pastra, K., Pirolli, P., Rosenbloom, P., Scheutz, M., Stewart, T. & Wiles, J., Sept-2019, Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions . Gluck, K. & Laird, J. (eds.). The MIT Press, p. 19-51 33 p. ( Strüngmann Forum Reports; vol. 26).

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  • Mindfulness as a Potential Tool for Productivity

    Vugt, M. V., 2019, Rethinking Productivity in Software Engineering. Sadowski, C. & Zimmermann, T. (eds.). Apress, p. 293-302 10 p. (Rethinking Productivity in Software Engineering).

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  • Providing Proactiveness: Data Analysis Techniques Portfolios

    Sillitti, A., Schomaker, L., Anakabe, J. F., Basurko, J., Dam, P., Ferreira, H., Ferreiro, S., Gijsbers, J., He, S., Hegedus, C., Holenderski, M., Hooghoudt, J.-O., Lecuona, I., Leturiondo, U., Marcelis, Q., Moldovan, I., Okafor, E., Rebelo de Sa, C., Romero, R. & Sarr, B. & 12 others, Schomaker, L., Kumar Shekar, A., Soares, C., Sprong, H., Theodorsen, S., Tourwe, T., Urchegui, G., Webers, G., Yang, Y., Zubaliy, A., Zugasti, E. & Zurutuza, U., Jan-2019, The MANTIS Book : Cyber Physical System Based Proactive Collaborative Maintenance. Albano, M., Jantunen, E., Papa, G. & Zurutuza, U. (eds.). Gistrup (DK): River Publishers, p. 145-238 94 p.

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  • Reachability of Five Gossip Protocols

    Van Ditmarsch, H., Gattinger, M., Kokkinis, I. & Kuijer, L. B., 6-Sept-2019, Reachability Problems: RP 2019: International Conference on Reachability Problems. Filiot, E., Jungers, R. & Potapov, I. (eds.). Cham: Springer, p. 218-231 14 p. (Lecture Notes in Computer Science; vol. 11674).

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  • The future of Maintenance

    Schomaker, L., Albano, M., Jantunen, E. & Ferreira, L. L., 2019, The MANTIS Book : Cyber Physical System Based Proactive Collaborative Maintenance. Albano, M., Jantunen, E., Papa, G. & Zurutuza, U. (eds.). Gistrup (DK): River Publishers, p. 555-567 13 p.

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    1 Citation (Scopus)
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  • The representation of task knowledge at multiple levels of abstraction

    Taatgen, N., 2019, Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions . Gluck, K. & Laird, J. (eds.). Cambtidge: The MIT Press, p. 75-87 13 p. (Strüngmann Forum Reports; vol. 26).

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  • Tibetan Buddhist monastic debate: Psychological and neuroscientific analysis of a reasoning-based analytical meditation practice

    van Vugt, M. K., Moye, A., Pollock, J., Johnson, B., Bonn-Miller, M. O., Gyatso, K., Thakchoe, J., Phuntsok, L., Norbu, N., Tenzin, L., Lodroe, T., Lobsang, J., Gyaltsen, J., Khechok, J., Gyaltsen, T. & Fresco, D. M., 3-Jan-2019, Imagining the Brain: Episodes in the History of Brain Research. Elsevier, Vol. 244. p. 233-253 (Progress in brain research).

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    7 Citations (Scopus)
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  • Using Biometric Sensors to Measure Productivity

    Vugt, M. V., 2019, Rethinking Productivity in Software Engineering. Sadowski , C. & Zimmermann , T. (eds.). Berkeley, CA: Apress, p. 159-167 9 p. (Rethinking Productivity in Software Engineering).

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  • 2018

    A Cognitive Neuroscience Perspective on Skill Acquisition in Catheter-based Interventions

    Paul, K. & Cnossen, F., 2018, Textbook of Catheter-Based Cardiovascular Interventions. Lanzer, P. (ed.). Springer Nature

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  • Actor-critic reinforcement learning with neural networks in continuous games

    Leuenberger, G. & Wiering, M. A., 2018, ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. SciTePress, 8 p. (ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence; vol. 2).

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    9 Citations (Scopus)
    87 Downloads (Pure)

  • Argumentation Theory in Formal and Computational Perspective

    van Eemeren, F. H. & Verheij, B., 2018, Handbook of Formal Argumentation. Baroni, P., Gabbay, D., Giacomin, M. & van der Torre, L. (eds.). College Publications, Vol. 1. p. 3-73

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  • Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models

    Baayen, R. H., van Rij, J., de Cat, C. & Wood, S., 2018, Mixed-Effects Regression Models in Linguistics. Speelman, D., Heylen, K. & Geeraerts, D. (eds.). Springer International Publishing AG, p. 49-69 (Quantitative Methods in the Humanities and Social Sciences).

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  • Comparison of Machine Learning Techniques for Multi-label Genre Classification

    Pieters, M. & Wiering, M., 2018, Artificial Intelligence: 29th Benelux Conference, BNAIC 2017 Groningen, The Netherlands, November 8 – 9, 2017 Revised Selected Papers. Verheij, B. & Wiering, M. (eds.). Cham: Springer International Publishing AG, p. 131-144 14 p. ( Communications in Computer and Information Science ; vol. 823).

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    6 Citations (Scopus)
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  • Detection and Recognition of Badgers Using Deep Learning

    Okafor, E., Berendsen, G., Schomaker, L. & Wiering, M., 4-Oct-2018, International Conference on Artificial Neural Networks. Kurkova, V., Manolopoulos, Y., Hammer, B., Iliadis, L. & Maglogiannis, I. (eds.). Springer International Publishing, Cham, Switzerland, p. 554-563 10 p. (Lecture Notes in Computer Science book series; vol. 11141).

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    4 Citations (Scopus)
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  • Evidential Reasoning

    Di Bello, M. & Verheij, B., 2018, Handbook of Legal Reasoning and Argumentation. Bongiovanni, G., Postema, G., Rotolo, A., Sartor, G., Valentini, C. & Walton, D. (eds.). Springer, p. 447-493

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    5 Citations (Scopus)
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  • Exploration methods for connectionist Q-learning in bomberman

    Kormelink, J. G., Drugan, M. M. & Wiering, M. A., 2018, ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. SciTePress, p. 355-362 (ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence; vol. 2).

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    5 Citations (Scopus)
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  • Hierarchical reinforcement learning for real-time strategy games

    Niel, R., Krebbers, J., Drugan, M. M. & Wiering, M. A., 2018, ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. Rocha, A. P. & van den Herik, J. (eds.). Groningen: SciTePress, Vol. 2. p. 470-477 8 p. (ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence; vol. 2).

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    3 Citations (Scopus)
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  • Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron

    Knegt, S., Drugan, M. M. & Wiering, M., 30-Dec-2018, ICAART 2018: Agents and Artificial Intelligence. van den Herik , J. & Rocha, A. (eds.). Cham: Springer, p. 105-129 ( Lecture Notes in Computer Science book series ; vol. 11352).

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    2 Citations (Scopus)
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  • Learning to play donkey kong using neural networks and reinforcement learning

    Ozkohen, P., Visser, J., van Otterlo, M. & Wiering, M., 2018, Artificial Intelligence: 29th Benelux Conference, BNAIC 2017 Groningen, The Netherlands, November 8–9, 2017 Revised Selected Papers. Verheij, B. & Wiering, M. (eds.). Cham: Springer Verlag, p. 145-160 16 p. (Communications in Computer and Information Science; vol. 823).

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  • On Coherent Arguments And Their Inferential Roles (with commentary by M. Beirlaen)

    Verheij, B., 2018, Argumentation and Inference: Proceedings of the 2nd European Conference on Argumentation, Fribourg 2017 (Volume I). Oswald, S. & Maillat, D. (eds.). College Publications, Vol. 1. p. 385-404

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  • Opponent modelling in the game of tron using reinforcement learning

    Knegt, S. J. L., Drugan, M. M. & Wiering, M. A., 2018, ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. Rocha, A. P. & van den Herik, J. (eds.). Groningen: SciTePress, Vol. 2. (ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence; vol. 2).

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    11 Citations (Scopus)
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  • Preface

    Verheij, B. & Wiering, M., 2018, Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, Revised Selected Paper. Verheij, B. & Wiering, M. (eds.). Cham: Springer Verlag, p. V-VI 2 p. 211219. (Communications in Computer and Information Science; vol. 823).

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  • Towards a Digital Infrastructure for Illustrated Handwritten Archives

    Weber, A., Ameryan, M., Wolstencroft, K., Stork, L., Heerlien, M. & Schomaker, L., May-2018, Lecture Notes in Computer Science, vol. 10605: Final Conference of the Marie Skłodowska-Curie Initial Training Network for Digital Cultural Heritage, ITN-DCH 2017, Olimje, Slovenia. Ioannides, M. (ed.). Springer, p. 155-166 12 p.

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    19 Citations (Scopus)

  • Tractability and the computational mind

    Szymanik, J. & Verbrugge, R., 27-Jan-2018, The Routledge Handbook of the Computational Mind. Sprevak, M. & Colombo, M. (eds.). 1st Editon ed. Oxford: Routledge, p. 339-353 16 p.

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    6 Citations (Scopus)
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  • Zero-shot learning based approach for medieval word recognition using deep-learned features

    Chanda, S., Baas, J., Haitink, D., Hamel, S., Stutzmann, D. & Schomaker, L., 5-Dec-2018, Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR. Institute of Electrical and Electronics Engineers Inc., p. 345-350 6 p. (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR; vol. 2018-August).

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    12 Citations (Scopus)
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  • 2017

    Formalizing Arguments, Rules and Cases

    Verheij, B., 2017, ICAIL '17: Proceedings of the 16th international conference on Artificial int. London: Association for Computing Machinery, p. 199-208 10 p. (Proceedings of the 16th international conference on Artificial intelligence and law; vol. 10).

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    19 Citations (Scopus)
    115 Downloads (Pure)

  • Getting Stuck on Myself: The Cognitive Processes Underlying Mental Suffering

    van Vugt, M., 2017, Self, Culture and Consciousness. Menon, S., Nagaraj, N. & Binoy, V. V. (eds.). Springer, p. 319-333 15 p.

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    2 Citations (Scopus)
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  • Introduction

    Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L. & Hemelrijk, C., 1-Jan-2017, Advances in Social Simulation 2015. Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L. & Hemelrijk, C. (eds.). Springer, p. I-XVIII 18 p. (Advances in Intelligent Systems and Computing; vol. 528).

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  • The interpretation of Dutch direct speech reports by Frisian-Dutch bilinguals

    Köder, F., van der Meer, J. W. & Spenader, J., 2017, From Semantics to Dialectometry: Festschrift for John Nerbonne. Tributes. Wieling, M., Kroon, M., van Noord, G. & Bauma, G. (eds.). College Publications, Vol. 32. p. 171-179 9 p.

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  • 2016

    An integrative account of psychological time

    van Rijn, H. & Taatgen, N. A., 8-Dec-2016, The Oxford Handbook of Cognitive Science. Chipman, S. E. F. (ed.). Oxford: Oxford University Press, p. 151-168 18 p.

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  • Arguments for ethical systems design

    Verheij, B., 2016, Legal Knowledge and Information Systems. IOS Press, p. 101-110 10 p. (Frontiers in Artificial Intelligence and Applications; vol. 294).

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    1 Citation (Scopus)