2021

  • A. Firintepe, C. Vey, S. Asteriadis, A. Pagani, D. Stricker, From IR images to Point Clouds to Pose: Point Cloud-based AR Glasses Pose Estimation, mdpi Journal of Imaging (accepted for publication), 2021

Conferences

  • C. Athanasiadis, E. Hortal. and S. Asteriadis, “Temporal conditional Wasserstein GANs for audio-visual affect-related ties”, in the “What’s Next in Affect Modelling” workshop, 9th International Conference on Affective Computing & Intelligent Interaction (ACII 2021), 28 September – 1 October, 2021, Virtual Event
  • B. Khaertdinov, E. Ghaleb, and S. Asteriadis, “Deep Triplet Networks with Attention for Sensor-based Human Activity Recognition”,  in the 19th International Conference on Pervasive Computing and Communications (PerCom 2021), IEEE, Kassel, Germany, March 22-26, 2021
  • B. Khaertdinov, E. Ghaleb, and S. Asteriadis, “Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition“, in the 2021 International Joint Conference on Biometrics (IJCB 2021), Shenzhen, China, August 4-7, 2021
  • B. Khaertdinov, Y. C. Semerci, and S. Asteriadis, “Wandering Recognition using Classical Machine Learning and Deep Learning Techniques with Skeletal Trajectories”, in the 14th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2021), ASSIST: 1st International Workshop on AI and Sensor-Supported Integrated care Solutions, Corfu, Greece, June 29 – July 2, 2021
  • S. Bhat and E. Hortal, “GAN-Based Data Augmentation For Improving The Classification Of EEG Signals”, in the 14th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2021), ASSIST: 1st International Workshop on AI and Sensor-Supported Integrated care Solutions, Corfu,  Greece, June 29 – July 2, 2021
  • Koneru S, Liu D, Niehues J. Unsupervised Machine Translation On Dravidian Languages. In: Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages.Kyiv, Ukrain; 2021.
  • Niehues J. Continuous Learning in Neural Machine Translation using Bilingual Dictionaries. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)Kyiv, Ukrain; 2021.

2020

Journals

Conferences

2019

Journals

Conferences

  • P. Alvanitopoulos, …,  A. Briassouli, MindSpaces: Art-driven adaptive outdoors and indoors design, In 9th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage — DiPP2019, Burgas, Bulgaria, 26–28 September, 2019, pp 391-400
  • Constantin S, Niehues J, Waibel A. Incremental processing of noisy user utterances in the spoken language understanding task. In: Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT). Hong Kong, 2019.
  • R. Montulet, A. Briassouli, “Deep Learning for Robust end-to-end Tone Mapping”, BMVC, 2019
  • F. Calsius and S. Asteriadis. Synthesizing Personality-Dependent Body Postures Using Generative Adversarial Networks. BNAIC/BENELEARN 2019 – The reference AI & ML conference for Belgium, Netherlands & Luxemburg. Brussels, 6-8 November, 2019
  • S. Foutsitzi, S. Asteriadis, G. Caridakis, An overview of Affective Models and ICT in Education, The 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019), Patras, Greece, 15-17 July, 2019
  • E. Ghaleb, M. Popa, S. Asteriadis, Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition, in the 8th International Conference on Affective Computing & Intelligent Interaction (ACII 2019), IEEE, Cambridge, United Kingdom, 3rd-6th September 2019.
  • Niehues J, Cattoni R, Stüker S, Negri M, Turchi M, Salesky E, et.al.  The IWSLT 2019 Evaluation Campaign. in Proceedings of the 16th International Workshop on Spoken Language Translation (IWSLT 2019) 2019.
  • N.-Q. Pham, J. Niehues, T.-L. Ha and A. Waibel, Improving Zero-shot Translation with Language-Independent Constraints, ACL 2019 Forth Conference on Machine Translation (WMT 19), Florence,Italy, 1-2 August 2019
  • C. Athanasiadis, E. Hortal, and S. Asteriadis, Bridging face and sound modalities through Domain Adaptation Metric Learning, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), Bruges, Belgium, 24 – 26 April 2019.
  • M. Maggiolo, G. Spanakis: Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), Brugges, Belgium, 24-26 April 2019
  • R. Piccini, G. Spanakis: Exploring the context of recurrent neural network based conversational agents. 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), Prague, Czech Republic, 19-21 February 2019 [pdf preprint]
  • W. Leeftink, G. Spanakis: Towards Controlled Transformation of Sentiment in Sentences. 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), Prague, Czech Republic, 19-21 February 2019 [pdf preprint]

Book chapters

  • T. Moers, F. Krebs, G. Spanakis: SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions. Agents and Artificial Intelligence. ICAART 2018. Lecture Notes in Computer Science, vol 11352. Springer

2018

Journals

  • N. Vretos; P. Daras; S. Asteriadis; E. Hortal; E. Ghaleb; E. Spyrou; H. Leligou; P. Karkazis; P. Trakadas, K. Assimakopoulos, Exploiting sensing devices availability in AR/VR deployments to foster engagement, Virtual Reality, Springer, DOI: 10.1007/s10055-018-0357-0
  • E. Ghaleb, G. Özbulak, H. Gao, H.K. Ekenel, “Deep Representation and Score Normalization for Face Recognition Under Mismatched Conditions”, IEEE Intelligent Systems, Vol. 33, No. 3, p. 43-46, May/June 2018
  • V. Kaltsa, A. Briassouli, I. Kompatsiaris, M. G. Strintzis, “Multiple Hierarchical Dirichlet Processes for anomaly detection in traffic”, Computer Vision and Image Understanding 169: 28-39 (2018)
  • V. Kaltsa, K. Avgerinakis, A. Briassouli, I. Kompatsiaris, M. G. Strintzis, “Dynamic texture recognition and localization in machine vision for outdoor environments. Computers in Industry 98: 1-13 (2018)

Conferences

  • A. Briassouli, “Unknown Crowd Event Detection from Phase-Based Statistics”, AVSS IEEE International Conference on Advanced Video and Signal-based Surveillance, 2018, pp 1-6
  • P. Giannakeris, V. Kaltsa, K. Avgerinakis, A. Briassouli, S. Vrochidis, I. Kompatsiaris, “Speed Estimation and Abnormality Detection from Surveillance Cameras”, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • A. Mino, G. Spanakis: LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on Color. 17th IEEE International Conference on Machine Learning and Applications (ICMLA 2018), Orlando, USA, 17-20 December 2018 [pdf preprintcode]
  • E. Ghaleb, E. Hortal, M. Popa, S. Asteriadis, G. Weiss, Towards Affect Recognition through Interactions with Learning Materials, IEEE International Conference on Machine Learning and Applications (ICMLA 2018), Orlando, Florida, USA, 17-20 December, 2018
  • D. Woszczyk, G. Spanakis: MaaSim: A Liveability Simulation For Improving The Quality Of Life In Cities3rd Workshop on Data Science for Social Good (SoGood 2018), ECML-PKDD 2018, Dublin, Ireland, 10-14 September 2018
  • E. Spyrou; N. Vretos; A. Pomazanskyi; S. Asteriadis and H. Leligou, Exploiting IoT Technologies for Personalized Learning, IEEE Conference on Computational Intelligence and Games (CIG 2018), Maastricht, the Netherlands, 14-18 August, 2018
  • D. Martín, M. Popa, J. Jiménez, F. Álvarez, S. Asteriadis, L. Carrasco, A Novel Approach for Movement Evolution Tracking in Parkinson’s Disease using Data Analysis and Fuzzy Logic. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA) 2018 Jun 26 (pp. 455-461). ACM.
  • D, Dotti; M. Popa; S. Asteriadis, Behavior and Personality Analysis in a nonsocial context Dataset, 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, US, 22 June, 2018
  • D. F. L., Hertroijs; A.M.J Elissen; M.C.G.J Brouwers; N.C. Schaper; S. Köhler; M.C. Popa; S. Asteriadis; S.H. Hendriks; H.J. Bilo; D. Ruwaard, A risk score of BMI, HbA1c and triglycerides predicts future glycemic control in type 2 diabetes, 18th International Conference on Integrated Care, Utrecht, 23-25 May, 2018
  • F. Krebs, B. Lubascher, T. Moers, P. Schaap, G. Spanakis: Social Emotion Mining Techniques for Facebook Posts Reaction Prediction. Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018), pp. 211-220, Funchal, Portugal, 16-18 January 2018 [pdf preprint, data]
  • Dorothea Tsatsou, Andrew Pomazanskyi, Enrique Hortal, Evaggelos Spyrou, Helen Leligou, Stylianos Asteriadis, Nicholas Vretos and Petros Daras, Adaptive learning based on affect sensing, 19th International Conference on Artificial Intelligence in Education, London, UK, June 27-30, 2018

Book Chapters

  • P. Karkazis, H. C. Leligou, P. Trakadas, N. Vretos, S. Asteriadis, P. Daras, P. Standen, Technologies facilitating smart pedagogy, Didactics of Smart Pedagogy-Smart Pedagogy for Technology Enhanced Learning, ISBN 978-3-030-01550-3 Linda Daniela, Springer, 2018.

2017

Journals

Conferences

Book chapters

2016

Journals

  • B. Boh, A. Jansen, I. Clijsters, C. Nederkoorn, L. Lemmens, G. Spanakis, A. Roefs, Indulgent thinking? Ecological momentary assessment of overweight and healthy-weight participants’ cognitions and emotions, Behaviour Research and Therapy, Vol. 87, pp. 196-206
  • S. Asteriadis, P. Daras, Landmark-based multimodal human action recognition, Multimedia Tools and Applications, Springer (accepted for publication)
  • B. Boh, L. Lemmens, A. Jansen, C. Nederkoorn, V. Kerkhofs, G. Spanakis, G. Weiss, A. Roefs,An Ecological Momentary Intervention for weight loss and healthy eating via smartphone and Internet: study protocol for a randomised controlled trial, Trials Journal, Vol.17, 2016
  • L. Malatesta, S. Asteriadis, G. Caridakis, A. Vasalou, K. Karpouzis, Associating gesture expressivity with affective representations, International Journal Engineering Applications of Artificial Intelligence (Elsevier), Special Issue on Mining the Humanities, 2015 (accepted for publication)

Conferences

  • D. Brüggermann, Y. Hermey, C. Orth, D. Schneider, S. Selzer, G. Spanakis, Towards a topic detection and tracking system with application to news items, 2nd International Workshop on Future and Emerging Trends in Language Technologies, Machine Learning and Big Data (FETLT 2016), Seville, Spain, 30 November-2 December 2016
  • D. Brüggermann, Y. Hermey, C. Orth, D. Schneider, S. Selzer, G. Spanakis, Storyline detection and tracking using Dynamic Latent Dirichlet Allocation. 2nd Computing News Storylines Workshop-Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin TX, USA, 1-5 November 2016
  • G. Spanakis, G. Weiss, A. Roefs, Enhancing Classification of Ecological Momentary Assessment Data using Bagging and Boosting”. IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 388-395, San Jose, CA, 6-8 November 2016
  • G. Spanakis, G. Weiss, B. Boh, V. Kerkhofs, A. Roefs, Utilizing longitudinal data to build decision trees for profile building and predicting eating behavior, HCist – International Conference on Health and Social Care Information Systems and Technologies, Porto, 5-7 October, 2016
  • G. Spanakis, G. Weiss, A. Roefs, Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data, 22nd European Conference on Artificial Intelligence (ECAI 2016), The Hague, 29 August – 2 September, 2016
  • G. Spanakis, G. Weiss:, AMSOM: Adaptive Moving Self-Organizing Map for Clustering and Visualization, Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), Rome, 24-26 February, 2016

Book Chapters

2015

Journals

  • M. Decebal Constantin, H. Bou Ammar, D. Lowet, K. Driessens, A. Liotta, G. Weiss, and K. Tuyls. “Factored four way conditional restricted Boltzmann machines for activity recognition.” Pattern Recognition Letters (2015).
  • S. Chen and G. Weiss. An approach to complex agent-based negotiations via effectively modeling unknown opponents. Expert Systems with Applications, Volume 42, Issue 5, 2287-2304, 2015.
  • S. Chen, S. Zhou, G. Weiss and K. Tuyls. Using transfer learning to model unknown opponents in automated negotiations. In N. Fukuta, T. Ito, M. Zhang, K. Fujita and V. Robu (Eds.), Recent advances in agent-based complex automated negotiation. Springer-Verlag (Studies in Computational Intelligence). To appear, 2015.
  • H. Rahmani, B. Ranjbar-Sahraei, G. Weiss, and K. Tuyls. Entity resolution in disjoint graphs: an application on genealogical data. International Journal on Intelligent Data Analysis. To appear, 2015.

Conferences

  • C. Wittlinger, G. Spanakis, G. Weiss, Flexible Deep Neural Network structure with application to Natural Language Processing, The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015), Hasselt, 5-6 November, 2015
  • G. Spanakis, G. Weiss, B. Boh, A. Roefs, Network analysis of Ecological Momentary Assessment data for monitoring and understanding eating behavior, International Conference for Smart Health (ICSH 2015), Phoenix, USA, 17-18 November, 2015
  • K. Karpouzis, N. Shaker, G. Yannakakis, S. Asteriadis, The Platformer Experience Dataset, 6th Affective Computing and Intelligenct Interaction (ACII 2015) Conference, Xi’an, China, 21-24 September, 2015
  • S. Asteriadis, P. Daras, Skeleton-based Human Action Recognition using Basis Vectors, 8th International Conference on Pervasive Technologies Related to Assistive Environments 2015 (PETRA 2015), Corfu, Greece, 1-3 July, 2015
  • K.I. Tumanov, R. Goebel, R. Möckel, B. Sorger, G. Weiss. fNIRS-based BCI for Robot Control (Demonstration). 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’2015), 1953-1954, 2015.
  • B. Ranjbar-Sahraei, J. Efremova, H. Rahmani, F. A. Oliehoek, T. Calders, K. Tuyls, and G. Weiss, HiDER: Query-Driven Entity Resolution for Historical Data, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2015.
  • B. Ranjbar-Sahraei, H. Bou Ammar, K. Tuyls, and G. Weiss, On the Skewed Degree Distribution of Hierarchical Networks, in IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015.
  • F.C. Schadd, N Roos, Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments, SEMAPRO 2015 (2015).

Book Chapters

  • B. Ranjbar-Sahraei, K. Tuyls, I. Caliskanelli, B. Broeker, D. Claes, S. Alers and G. Weiss. Bio-inspired multi-robot systems. In T.D. Ngo (Ed.), Biomimetic technologies. Volume 2: Actuators, robotics and integrated systems. Woodhead Publishing Ltd. 2015.
  • J. Efremova, B. Ranjbar-Sahraei, H. Rahmani, F.A. Oliehoek, T. Calders, K. Tuyls, and G. Weiss. Multi-source entity resolution for genealogical data. In Population Reconstruction, Springer International Publishing. 2015

2014

Journals

Conferences

2013

Journals

Conferences

Books

2012

Journals

Conferences

Books

  • Ammar, Haitham Bou, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, and Gerhard Weiss. “Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines.” In Machine Learning and Knowledge Discovery in Databases, pp. 449-464. Springer Berlin Heidelberg, 2013.

2011

Journals

  • N. Roos, Maximal-confirmation diagnoses. Knowledge-Based Systems, 24 (2011) 467-477. DIO: 10.1016/j.knosys.2010.12.002

Conferences

  • W. Qiao and N. Roos, Four-valued description logic for paraconsistent reasoning, BNAIC 2011 (2011) 175-182.
  • M. Wilson, N. Roos, B. Huisman, C. Witteveen, Efficient workplan management in maintenance tasks. In BNAIC, pages 344-351, 2011.
  • F.C. Schadd, Nico Roos, Improving ontology matchers utilizing linguistic ontologies: an information retrieval approach, BNAIC 2011 (2011) 191-198.
  • F.C. Schadd and N. Roos, Maasmatch results for OAEI 2011, OM-2011 collocated with ISWC-2011 (2011)
  • Ikonomovska, Elena, Kurt Driessens, Saoš Džeroski, and Joao Gama. “Adaptive windowing for online learning from multiple inter-related data streams.” In Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, pp. 697-704. IEEE, 2011.
  • Van den Broeck, Guy, and Kurt Driessens. “Automatic discretization of actions and states in monte-carlo tree search.” In Proceedings of the ECML/PKDD 2011 Workshop on Machine Learning and Data Mining in and around Games, pp. 1-12. 2011.
  • Sarjant, Samuel, Bernhard Pfahringer, Kurt Driessens, and Tim Smith. “Using the online cross-entropy method to learn relational policies for playing different games.” In Computational Intelligence and Games (CIG), 2011 IEEE Conference on, pp. 182-189. IEEE, 2011.
  • Vanwinckelen, Gitte, Martijn Van Otterlo, Kurt Driessens, and Sofie Pollin. “Reliable power control for secondary users based on distributed measurements.” In New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2011 IEEE Symposium on, pp. 108-115. IEEE, 2011.
  • H.B. Ammar, M. Taylor, K. Tuyls and G. Weiss. Reinforcement learning transfer using a sparse coded inter-task mapping. 9th European Workshop on Multiagent Systems (EUMAS). 2011. [Lecture Notes in Computer Science, Volume 7541, pp. 1-16]
  • H.B. Ammar, M. Taylor, K. Tuyls and G. Weiss. Common sub-space transfer for reinforcement learning tasks. Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC). 2011.
  • V. Delage, C. Brandlhuber, K.Tuyls, and G. Weiss. Multi-agent based simulation of FOREX exchange market. Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC). 2011.
  • V. Delage, C. Brandlhuber, K.Tuyls, and G. Weiss. Multi-agent based simulation of FOREX exchange market. 9th European Workshop on Multiagent Systems (EUMAS). 2011
  • S. Alers, D. Bloembergen, D. Hennes, S. de Jong, M. Kaisers, N. Lemmens, K. Tuyls and G. Weiss. Bee-inspired foraging in an embodied swarm, Proceedings of the Tenth International Conference on Autonomous Agents and Multi-Agent Systems (Demo Track), 2011.

2010

Journals

Conferences

  • N. Roos, Cost optimal robust-schedules: policy search in continuous action space using stochastic feedback, BNAIC 2010 (2010) 8 pages.
  • N. Roos, The relation between preferential model and argumentation semantics, NMR 2010 (2010) 7 pages.
  • G. Nalbantov, E. Smirnov, D. Nalbantov, G. Weiss, K. Nienhaus, M. Warcholik and F. Mavroudis.Image Mining for Intelligent Autonomous Coal Mining. 10th Industrial Conference on Data Mining, Poster and Industry Proceedings, pp. 17-23, 2010.

Books/Book chapters

  • G. Weiss, L. Braubach and P. Giorgini. Intelligent agents. In H. Bidgoli (Ed.), The Handbook of Technology Management (Volume 3, pp. 360-372). John Wiley & Sons, Inc. 2010.
  • L. Cao, A. Bazzan, V. Gorodetsky, P. Mitkas, G. Weiss and P.S. Yu (Eds.) Agents and Data Mining Interaction, Lecture Notes in Computer Science, Volume 5980, Springer-Verlag, 2010.

2009

Conferences

  • X. Mao, N. Roos and A. Salden, Stable multi-project scheduling of airport ground handling services with heterogeneous agents.AAMAS 2009 (2009) 537-544.
  • N. Roos, Preferring maximal confirmation diagnoses,BNAIC 2009 (2009) 217-224.
  • N. Roos, Preferential model and argumentation semantics,BNAIC (2009) 209-216.
  • X. Mao, N. Roos, A. Salden, Stable Multi-project Scheduling of Airport Ground Handling Services with Heterogeneous Agents,AAMAS 2009 (2009).
  • F. de Jonge, N. Roos, C. Witteveen, Primary and secondary diagnosis of multi-agent plan execution,Journal of Autonomous Agents and Multi-Agent Systems 18:2 (2009) 267-294. [online first (2008): DIO: 10.1007/s10458-008-9045-x].
  • N. Roos, C. Witteveen, Models and Methods for Plan Diagnosis,Journal of Autonomous Agents and Multi-Agent Systems 19:1 (2009) 30-52. [online first (2007): DIO: 10.1007/s10458-007-9017-6].

Books/Book chapters

  • C. Witteveen, W. van der Hoek, N. Roos, Concurrently decomposable constraint systems.Multiagent System Technologies, LNCS 5774 (2009) 153-164.
  • B. Buchberger et al. (Eds.) Hagenberg research. Springer-Verlag. 2009.
  • L. Cao, V. Gorodetsky, J. Liu, G. Weiss and P.S. Yu (Eds.). Agents and data mining interaction. Lecture Notes in Computer Science, Volume 5680. Springer-Verlag. 2009.
  • G. Weiss, G. Pomberger, W. Beer, et al. Software engineering – processes and tools. In B. Buchberger et al. (Eds.), Hagenberg Research (Chapter IV, pp. 157–235), Springer-Verlag. 2009.

Habilitation Theses

  • G. Weiss. Agent orientation in computer science. Exploring the agent-oriented perspective on computer-based systems. Habilitation thesis. Johannes-Kepler University Linz, Faculty of Technical and Natural Sciences. 2009.

2008

Conferences

  • N. Roos, C. Witteveen, Diagnosis of Simple Temporal NetworksECAI 2008(2008) 593-597.
  • Mao, N. Roos, A. Salden, Distribute the Selfish Ambitions, BNAIC 2008(2008) 137-144.
  • A. ter Mors, X. Mao, J. Zutt, C. Witteveen, N. Roos, Robust Reservation-Based Multi-Agent Routing, ECAI 2008(2008) 929-930.

2007

Conferences

Technical reports

  • Roos, C. Witteveen, Diagnosis of plan step errors and plan structure violations.Technical Report MICC 07-05, ISSN 0922-8721 (2007).

2006

Journals

  • Matthias Nickles, Felix Fischer, and Gerhard Weiss. Communication attitudes: a formal approach to ostensible intentions and individual and social opinions. Electronic Notes in Theoretical Computer Science, Vol. 157(4), 95-115, 2006.

Conferences

  • F. de Jonge, N. Roos, C. Witteveen, Diagnosis of multi-agent plan execution,Multiagent System Technologies, MATES 2006, LNCS 4196 (2006) 86-97.
  • R.-J. Sips, L. Braun, N. Roos, Enabling protocol-based medical critiquing,The 20th Congress of the European Federation of Medical Informatics (MIE2006), (2006).
  • R.-J. Sips, L. Braun, N. Roos, Applying formal medical guidelines for critiquing,ECAI workshop on AI techniques in healthcare: evidence-based guidelines and protocols (2006).
  • N. Roos, C. Witteveen, Models and Methods for Plan Diagnosis,Formal Approaches to Multi-Agent Systems (FAMAS’06) (2006).
  • N. Roos, C. Witteveen, Models and Methods for Plan Diagnosis,3rd Model Based Systems Workshop (MBS-06) (2006).
  • F. de Jonge, N. Roos, C. Witteveen, Primary and Secondary Plan Diagnosis,The International Workshop on Principles of Diagnosis (DX-06) (2006).
  • R.-J. Sips, L. Braun, N. Roos, Medical expert critiquing using a BDI approach,BNAI C2006 (2006) 283-290.

Book chapters

  • Fischer, Michael Rovatsos, and Gerhard Weiss.  Adaptiveness in agent communication: application and adaptation of conversation patterns. In F. Dignum, R.M. van Eijk and R. Flores (Eds.), Agent communication II (pp. 211-226). Lecture Notes in Computer Science, Volume 3859. Springer-Verlag. 2006.

Technical reports

  • N. Roos, C. Witteveen, Diagnosis of plan step errors and plan structure violations.Technical Report MICC 07-05, ISSN 0922-8721 (2007).

2005

Conferences

  • F. de Jonge, N. Roos, J. van den Herik, Keeping Plan Execution Healthy,Multi-Agent Systems and Applications IV, CEEMAS 2005, LNCS 3690, Editors: Michael Pechoucek, Paolo Petta, László Zsolt Varga (2005) 377-387. This paper received the best paper award. [pdf]
  • N. Roos, C. Witteveen, Diagnosis of plans and agents,Multi-Agent Systems and Applications IV, CEEMAS 2005, LNCS 3690, Editors: Michael Pechoucek, Paolo Petta, László Zsolt Varga (2005) 357-366. [pdf]
  • N. Roos, C. Witteveen, Diagnosis of plan execution and the executing agent,Advances in Artificial Intelligence, KI 2005, LNCS 3698 (2005) 161-175. [pdf]
  • C. Witteveen, N. Roos, R. van der Krogt, M. de Weerdt, Diagnosis of single and multi-agent plans,AAMAS 2005 (2005) 805-812. [pdf]
  • R. van der Krogt, M. de Weerdt, C. Witteveen, N. Roos, Multiagent Planning through Plan Repair,AAMAS 2005 (2005) 1337-1338.
  • N. Roos, C. Witteveen, Problem solving in a computational society,ICAI05 (2005) 764-770.
  • S de Jong, N. Roos I. Kuyper, Evolutionary Planning Heuristics in Production Management,BNAIC2005 (2005) 96-103.
  • F. de Jonge, N. Roos, J. van den Herik, How to keep plan execution healthy,IJCAI-05 Workshop on Agents in real-time and dynamic environments (2005).
  • S. de Jong, P. Spronck, N. Roos, Requirements for resource management game AI,IJCAI-05 Workshop on Reasoning, Representation, and Learning in Computer Games (2005) 43-48.
  • N. Roos, C. Witteveen, Diagnosis of plan execution and the executing agent,The Third European Workshop on Multi-Agent Systems (EUMAS 2005), (2005) 502-503
  • N. Roos, C. Witteveen, Diagnosis of plan execution and the executing agent,The Sixth International Workshop on Computational Logics in Multi-Agent Systems (CLIMA VI) (2005) 201-215. [pdf]

2004

Conferences

  • F. Wiesman, N. Roos, Domain independent learning of ontology mappings,AAMAS 2004 (2004) 844-851. [pdf]
  • N. Roos, A. ten Teije, C. Witteveen, Reaching diagnostic agreement in Multi-Agent Diagnosis,AAMAS 2004 (2004) 1254-1255. [pdf] [full paper]
  • N. Roos, C. Witteveen, Plan Diagnosis with Agents,BNAIC 2004 (2004) 203-210. [pdf]
  • F. de Jonge, N. Roos, J. van den Herik, Multi-agent Plan-execution Health Repair,BNAIC 2004 (2004) 59-66. [pdf]
  • B. Reggers, F. Wiesman, Nico Roos, Agents for Market-Based Computational-Resource Allocation,BNAIC 2004 (2004) 3-10.
  • F. de Jonge, N. Roos, Plan-execution health repair in a multi-agent system,PlanSig2004 (2004). [pdf]

2003

Conferences

  • S. Kleijkers, F. Wiesman, N. Roos, A Mobile Multi-Agent System for Distributed Computing,International Workshop on Agents and Peer-to-Peer Computing, AP2PC,LNAI 2530, Springer (2003).
  • S. Roos, A. ten Teije, C. Witteveen, A protocol for Multi-Agent Diagnosis with spatially distributed knowledge,AAMAS 2003(2003). [pdf]
  • F. Wiesman, S. Bocconi, B. Arsenijevic, Y. Bachvarova, N. Roos, L. Schomaker, Intelligent Information Retrieval and Presentation with Multimedia Databases,DIR2003 (2003) 52-56.
  • N. Roos, A. ten Teije, C. Witteveen, Multi-Agent Diagnosis with semantically distributed knowledge,BNAIC 03(2003) 259-266. [pdf]
  • N. Roos, C. Witteveen, Problem solving in a computational society,BNAIC 03(2003) 267-274.

2002

Conferences

  • F. Wiesman., N. Roos, P. Vogt, Agent-Based Ontology Matching,AAMAS 2002 (2002) 563-564. [pdf]
  • N. Roos, A. ten Teije, A. Bos, C. Witteveen, An analysis of Multi-Agent Diagnosis,AAMAS 2002 (2002). [pdf]
  • N. Roos, A. ten Teije, A. Bos, C. Witteveen, Multi-Agent Diagnosis with spatially distributed knowledge,BNAIC02 (2002). [pdf]
  • J. Zutt, L. Aronson, R. van der Krogt, N. Roos, C. Witteveen, Multi-agent Transport Planning using Agents,BNAIC02 (2002).
  • R. van der Krogt, L. Aronson, N. Roos, C. Witteveen, J. Zut, Tactical Planning using Heuristics,BNAIC02 (2002).
  • S. Kleijkers, F. Wiesman, N. Roos, A Mobile Multi-Agent System for Distributed Computing,BNAIC02 (2002).
  • Y. P. Ran, N. Roos, H.J. van den Herik, Methods for Repair Based Scheduling,Proceedings of the 21th workshop of the UK PLANNING and SCHEDULING Special Interest Group (PLANSIG 2002) (2002) 79-86.
  • Y. P. Ran, N. Roos, H.J. Herik, Approaches to find a near-minimal change solution for Dynamic CSPs,Fourth International Workshop on Integration of AI and OR techniques in Constraint Programming for Combinatorial Optimisation Problems (2002) 373-387.
  • S. Kleijkers, F. Wiesman, N. Roos, A Mobile Multi-Agent System for Distributed Computing,First International Workshop on Agents and Peer-to-Peer Computing (AP2PC 2002) (2002) 145-156.

2001

Conferences

  • F. Wiesman, N. Roos, P. Vogt, Agent-based ontology matching,BNAIC’01 (2001) 291-298. [pdf]
  • N. Roos, A. ten Teije, A. Bos, C. Witteveen, Multi-Agent Diagnosis: a case study,BNAIC’01 (2001) 221-228. [pdf]
  • N. Roos, A semantics for updating in the context of causal constraints,DGNMR’01 (2001) 143-150.

2000

Journals

  • Roos, On resolving conflicts between arguments,Computational Intelligence 16:3 (2000) 469-497.

Conferences

  • Roos, Y.P. Ran, and H.J. van den Herik, Combining Local Search and Constraint Propagation to find a minimal change solution for a Dynamic CSP,AIMSA 2000. LNAI 1904, Springer (2000) 272-282.
  • Bos, N. Roos, and C. Witteveen, Computing with computational histories, BNAIC’00 (2000) 207-214.
  • Roos, Processing an agent’s perception: a semantics for updating in the context of causal constraints,BNAIC’00 (2000) 37-44.
  • P. Ran, N. Roos, and H.J. van den Herik, Approximation of the optimal solution for dynamic CSPs,BNAIC’00 (2000) 227-234.

1999

Conferences

  • A. Bos, N. Roos, C. Witteveen, Computing with computational histories,BNVKI’99 (1999) 19-26.
  • N. Roos, An argument system for updating in the context of causal integrity constraints,DGNMR’99 (1999).

1998

Journals

  • N. Roos, Reasoning by cases in Default Logic,Artificial Intelligence 99 (1998) 165-183.

Conferences

  • N. Roos, An objective definition of subjective probability,ECAI’98 (1998) 595-599.

Other selected publications

  • Daniel Hennes, Karl Tuyls, and Matthias Rauterberg. State-coupled replicator dynamics. AAMAS (2) 2009: 789-796.
  • Steven de Jong and Karl Tuyls. Human-Inspired Computational Fairness. To appear in Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), 2010.
  • Steven de Jong, Simon Uyttendaele, and Karl Tuyls. Learning to Reach Agreement in a Continuous Ultimatum Game. Journal of Artificial Intelligence Research (JAIR), 33:551–574, 2008.
  • Nyree Lemmens and Karl Tuyls. Stigmergic landmark foraging. AAMAS (1) 2009: 497-504.
  • Matthias Nickles, Tina Froehner, Ruth Cobos, and Gerhard Weiss. Multi-source knowledge bases and ontologies with multiple individual and social viewpoints. Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI, pp. 62-66). 2005.
  • Matthias Nickles, Tina Froehner, and Gerhard Weiss.  Open ontologies and open knowledge bases for modeling the social layer of the Semantic Web. Proceedings of the Third International Semantic Web Conference (ISCW). 2004.
  • Matthias Nickles, Michael Rovatsos and Gerhard Weiss. Expectation-oriented modeling. International Journal on Engineering Applications of Artificial Intelligence, Vol. 18(8), 891-918. 2005.
  • Liviu Panait, Karl Tuyls, and Sean Luke. Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective. Journal of Machine Learning Research (JMLR), 9(Mar):423–457, 2008.
  • Michael Rovatsos, Iyad Rahwan, Felix Fischer, and Gerhard Weiss. Practical strategic reasoning and adaptation in rational argument-based negotiation. In S. Parsons, N. Maudet, P. Moraitis and I. Rahwan (Eds.) Argumentation in multiagent systems (pp. 122-137). Lecture Notes in Computer Science, Volume 4049. Springer-Verlag. 2006.
  • Michael Rovatsos, Gerhard Weiss, and Marco Wolf. Multiagent learning for open systems: a study in opponent classification. In E. Alonso, D. Kudenko and D. Kazakov (Eds.), Adaptive agents (pp. 66-87). Lecture Notes in Computer Science, Volume 2636. Springer-Verlag, 2003.
  • Karl Tuyls and Ann Nowé. Evolutionary game theory and multi-agent reinforcement learning. Knowledge Eng. Review 20(1): 63-90 (2005).
  • Karl Tuyls and Simon Parsons. What evolutionary game theory tells us about multiagent learning. Artificial Intelligence, 171(7):406–416, 2007.
  • Karl Tuyls, Pieter Jan ‘t Hoen, and Bram Vanschoenwinkel. An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games. In The Journal of Autonomous Agents and Multi- Agent Systems, JAAMAS, pages 115 – 153, Volume 12, Number 1, 2006.
  • Karl Tuyls, Katja Verbeeck, and Tom Lenaerts. A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700.
  • Gerhard Weiss, Matthias Nickles, Michael Rovatsos, and Felix Fischer. Specifying the intertwining of coordination and autonomy in agent-based systems. International Journal of Network and Computer Applications, Vol. 30(3), 1196-1215, 2007.
  • Gerhard Weiss. Agent Orientation in Software Engineering. Knowledge Engineering Review, Vol. 16(4), 349–373. 2001.