some book involvements

G. Weiss (Ed.). Multiagent systems. A modern approach to distributed artificial intelligence. MIT Press. (ISBN 0-262-23203-0). 1999.

G. Weiss, W. van der Hoek and M. Wooldridge (Eds.). Proceedings of the First European Agent Systems Summer School (EASSS'99). University of Utrecht, The Netherlands. 1999. [cover page (110KB)]

S. Jablonski, S. Kirn, M. Plaha, E.J. Sinz, G. Weiss and A. Ulbrich-vom Ende (Eds.). Verteilte Informationssysteme auf der Grundlage von Objekten, Komponenten und Agenten, Proceedings der Verbundtagung VertIS 2001. GI-Fachgruppenrundbriefe. 2001. [click here for cover page (70KB)]

K. Klusch and G. Weiss (Eds.). Cooperative information agents II. Lecture Notes in Artificial Intelligence, Volume 1435. Springer-Verlag. (ISBN 3-540-64676-0). 1998.

Machine Learning - Multiagent Learning - Distributed/Parallel Learning - Adaptation

S. Chen, T. Yang, H. You, J. Zhao, J. Hao and G. Weiss. Transfer reinforcement learning based negotiating agent framework. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science Vol. 13936, pp. 386-397, 2023.

S. Chen, J. Zhao, G. Weiss, R. Su and K. Lei. An effective negotiation agent framework based on deep offline reinforcement learning, 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023.

M. Allahgholi, H. Rahmani, D. Javdani, Z. Sadeghi-Adl, A. Bender, D. Modos, and G. Weiss. DDREL: From Drug-Drug relationships to drug repurposing. Intelligent Data Analysis, Vol. 26(19), pp. 221-237, 2022.

V. Kolev, G. Weiss and G. Spanakis. FOREAL: RoBERTa Model for Fake News Detection Based on Emotions. 14th International Conference on Agents and Artificial Intelligence (ICAART), pp. 429-440, 2022.

P. Golshanrad, H. Rahmani, B. Karimian, F. Karimkhani and G. Weiss. MEGA: Predicting the best classifier combination using meta-learning and genetic algorithm. Intelligent Data Analysis, Volume 25(6), 2021.

A. Grigoriu, A. Zaveri, G. Weiss and M. Dumontier. SIENA: Semi-automatic semantic enhancement of datasets using concept recognition. Journal of Biomedical Semantics, 12, Article 5, 2021.

A. Vandor, M. van Vollenhoven, G. Weiss and G. Spanakis. Can we detect harmony in artistic compositions? A machine learning approach. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART), Vol. 2, pp. 187-195, 2021.

T. Weidler, J. Lehnen, Q. Denman, D. Sebok, G. Weiss, K. Driessens and M. Senden. Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks. Computing Research Repository (CoRR), 2021. arXiv:2105.09830.

M. Allahgholi, H. Rahmani, D. Javdani, G. Weiss and D. Modos. ADDI: Recommending alternatives for drug-drug Interactions with negative health effects. Computers in Biology and Medicine, Vol. 125, Article 103969, 2020.

M. Meyers, G. Spanakis and G. Weiss. Fake news detection on Twitter using propagation structures. 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), In M. van Duijn, M. Preuss, V. Spaiser, F. Takes and S. Verberne (Eds.), Disinformation in open online media, pp. 138-158, Springer-Verlag, LNCS Vol. 12259, 2020.

K. Smirnov, G. Spanakis and G. Weiss. Early fake news detection on Twitter by analysing user characteristics in a tweet propagation path. 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), 2020.

A. Grigoriu, A. Zaveri, G. Weiss and M. Dumontier. SIENA: Semi-automatic semantic enhancement of datasets using concept recognition. 27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology and the 18th European Conference on Computational Biology.(ISMB and ECCB), 2019.

D. Rafailidis and G. Weiss. Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. https://arxiv.org/abs/1907.01645, 2019.

D. Rafailidis and G. Weiss. A Neural Attention Model for Self-Adaptive Learning of Social Friends' Preferences https://arxiv.org/abs/1907.01644, 2019.

B. Ranjbar-Sahraei, H. Rahmani, G. Weiss and K. Tuyls. Distant supervision of relation extraction in sparse data. Intelligent Data Analysis, Volume 23, pp. 1145-1166, 2019.

S. Chen, J. Hao, S. Zhou and G. Weiss. Negotiating with unknown opponents toward multi-lateral agreement in real-time domains. In K. Fujita et al. (Eds.), Modern Approaches to Agent-based Complex Automated Negotiation (pp. 219-229). Studies in Computational Intelligence, Vol. 674. Springer Verlag, 2017.

G. Spanakis and G. Weiss. Enhancing visual clustering using adaptive moving self-organizing maps (AMSOM). Volume 10162 of the series Lecture Notes in Computer Science. J. van den Herik and J. Filipe (Eds.). Agents and Artificial Intelligence. 8th International Conference, ICAART 2016, Revised selected papers, pp. 189-211. 2017.

G. Spanakis, G. Weiss, B. Boh, L. Lemmens and A. Roefs. Machine learning techniques in eating behavior e-coaching. International Journal of Personal and Ubiquitous Computing, 21, 645-659, 2017.

S. Chen, G. Weiss and S. Zhou. Solving negotiation problems against unknown opponents with wisdom of crowds. KI 2016: Advances in Artificial Intelligence, Proceedings of the 39th German Conference on Artificial Intelligence (KI), Lecture Notes in Computer Science, Vol. 9904, pp. 126-133, 2016.

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), pp. 175-192, 2016.

G. Spanakis and G. Weiss. AMSOM: Adaptive Moving Self-Organizing Map for Clustering and Visualization. 8th International Conference on Agents and Artificial Intelligence (ICAART), pp. 129-140, 2016.

G. Spanakis, G. Weiss, B. Boh, V. Kerkhofs and A. Roefs. Utilizing longitudinal data to build decision trees for profile building and predicting eating behavior. International Conference on Health and Social Care Information Systems and Technologies (HCist), Procedia Computer Science, Vol. 100, pp. 782-789, 2016.

G. Spanakis, G. Weiss and A. Roefs. Bagged boosted trees for classification of ecological momentary assessment data. Frontiers in Artificial Intelligence, Volume 285: ECAI2016 (22nd European Conference on Artificial Intelligence), pp. 1612-1613, 2016.

G. Spanakis, G. Weiss and A. Roefs. Enhancing classification of ecological momentary assessment data using bagging and boosting. Proceedings of the IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 388-395, 2016.

S. Chen, J. Hao, G. Weiss, S. Zhou and Z. Zhang. Toward efficient agreements in real-time multilateral agent-based negotiations. Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI, pp. 896-903), 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.

D.C. Mocanu, H.B. 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. 66, pp. 100-108, 2015. [Also published in Proceedings BNAIC 2015]

C. Wittlinger, G. Spanakis and G. Weiss. Flexible deep neural network structure with application to natural language processing. Proceedings of the 27th Benelux Conference on Artificial Intelligence (BNAIC), 2015.

H.B. Ammar, S. Chen, K. Tuyls and G. Weiss. Automated transfer for reinforcement learning tasks. Künstliche Intelligenz, Vol. 28, Issue 1, 7-14, 2014.

H.B. Ammar, E. Eaton, M. E. Taylor, D. C. Mocanu, K. Driessens, G. Weiss and K. Tuyls. An automated measure of MDP similarity for transfer in reinforcement learning. 3rd Workshop on Machine Learning for Interactive Systems (MLIS): Bridging the Gap Between Perception, Action and Communication. 2014.

H. Jianye, S. Chen, G. Weiss, H. Leung and K. Tuyls. Robustness analysis of negotiation strategies through multiagent learning in negotiation games. In J.P. Müller, M. Weyrich and A. Bazzan (Eds.), Multiagent system technologies. Proceedings of the 12th German Conference on Multiagent System Technologies (MATES). Springer-Verlag (Lecture Notes in Computer Science Volume 8732, pp 41-56), 2014.

H. Rahmani, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. Contextual entity resolution approach for genealogical data. Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML). Proceedings of the 16th LWA Workshops: KDML, IR, FGWM (pp. 168-179). 2014.

S. Zhou, S. Chen, E. Smirnov, G. Weiss and K. Tuyls. Automatic knowledge transfer for agent-based bilateral negotiation tasks. Seventh International Workshop on Agent-based Complex Automated Negotiations (ACAN). 2014.

H.B. Ammar, D.C. Mocanu, M. Taylor, K. Driessens, G. Weiss and K. Tuyls. Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD, Lecture Notes in Computer Science Volume 8189, pp 449-464), 2013.

S. Chen, H.B. Ammar, K. Driessens, K. Tuyls and G. Weiss. Automatic transfer between negotiation tasks. 13th International Workshop on Adaptive and Learning Agents (ALA). 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Optimizing complex automated negotiation using sparse pseudo-input Gaussian processes. Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 707-714), 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Conditional restricted Boltzmann machines for negotiations in highly competitive and complex domains. Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI, pp. 69-75). 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Automated negotiation based on sparse pseudo-input Gaussian processes. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 307-308), 2013.

D. Mocanu, H.B. Ammar, M. Taylor, K. Driessens, G. Weiss and Karl Tuyls . Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 336-337), 2013.

H.B. Ammar, K. Tuyls, M. Taylor, K. Driessen and G. Weiss. Reinforcement learning transfer via sparse coding. Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS, Volume 1, pages 383-390). 2012.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Transfer learning for bilateral multi-issue negotiation. Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC), 2012.

K. Tuyls and G. Weiss.Multiagent learning: Basics, Challenges, Prospects. AI Magazine, 33(3):41-53, October 2012., 2012.

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.

F. Fischer, M. Rovatsos and G. 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.  

M. Rovatsos, I. Rahwan, F. Fischer and G. 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.  

F. Fischer, M. Rovatsos and G. Weiss. Acquiring and adapting probabilistic models of agent conversation. Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 106–113). 2005.

M. Rovatsos, F. Fischer and G. Weiss. An integrated framework for adaptive reasoning about conversation patterns. Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 1123–1124). 2005.
 

M. Rovatsos, I. Rahwan, F. Fischer and G. Weiss. Adaptive strategies for practical
argument-based negotiation. 3rd International Workshop on Argumentation in Multi-Agent Systems (ArgMAS). 2005.
 

F. Fischer, M. Rovatsos and G. Weiss. Hierarchical reinforcement learning in communication-mediated multiagent coordination. Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 1334–1335). 2004.
 

M. Rovatsos, F. Fischer and G. Weiss. Hierarchical reinforcement learning for communicating agents. Proceedings of the 2nd European Workshop on Multiagent Systems (EUMAS. pp. 593-604). 2004.
 

M. Rovatsos, G. Weiss and M. 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.  

G. Weiss. An architectural framework for integrated multiagent planning, reacting, and learning. In Proceedings of the 7th International Workshop on Agent Theories, Architectures, and Languages (ATAL, pp. 320–330). Lecture Notes in Computer Science, Volume 1986. Springer-Verlag. 2001.

G. Weiss. Achieving coordination through combining joint planning and joint learning. In Proceedings of the 14th European Conference on Artificial Intelligence (ECAI, pp. 388–392). IOS Press. 2000.

G. Weiss. A multiagent variant of Dyna-Q. In Proceedings of the Fourth International Conference on Multi-Agent Systems (ICMAS, pp. 461–462). IEEE Computer Society. 2000.

G. Weiss. Planning and learning together. In Proceedings of the Fourth International Conference on Autonomous Agents (Agents, pp. 102–103). ACM Press. 2000.

S. Sen and G. Weiss. Multiagent learning. In G. Weiss (Ed.), Multiagent systems (Chapter 6, pp. 259–298). The MIT Press.1999.

G. Weiss and P. Dillenbourg. What is ‘multi’ in multiagent learning? In P. Dillenbourg (Ed.), Collaborative learning. Cognitive and computational approaches (Chapter 4, pp. 64–80). Pergamon Press. 1999.

W. Brauer and G. Weiss. Multi-machine scheduling – A multi-agent learning approach. In Proceedings of the Third International Conference on Multi-Agent Systems (ICMAS, pp. 42–48). IEEE Computer Society. 1998.
 

M. Huhns and G. Weiss (Eds.). Special Issue on Multiagent Learning, Machine Learning Journal. Vol. 33(2-3). 1998.

G. Weiss. A multiagent perspective of parallel and distributed machine learning. In Proceedings of the Second International Conference on Autonomous Agents (Agents, pp. 226–230). ACM Press. 1998.
 

G. Weiss. Learning to coordinate actions in multi-agent systems. In M.N. Huhns and M.P. Singh

(Eds.), Readings in agents (pp. 481–486). Morgan Kaufmann Publ. 1998.  

G. Weiss (Ed.). Special Issue on Learning in Distributed Artificial Intelligence Systems, Journal of Experimental and Theoretical Artificial Intelligence, Vol. 10(3). 1998.

G. Weiss. Towards the synthesis of neural and evolutionary learning. In O. Omidvar & C. Wilson (Eds.), Progress in neural networks (Volume V, Chapter 6, pp. 145–176). Norwood, New Jersey: Ablex Publ. Corp. 1997.

G. Weiss (Ed.). Distributed artificial intelligence meets machine learning. Lecture Notes in Artificial Intelligence, Volume 1221. Springer-Verlag. (ISBN 3-540-62934-3). 1997.

G. Weiss. The job assignment problem: A study in parallel and distributed machine learning. In C. Freksa, M. Jantzen and R. Valk (Eds.), Foundations of Computer Science. Potential – Theory – Cognition (pp. 445–454). Lecture Notes in Computer Science, Volume 1337. Springer-Verlag. 1997.

G. Weiss. An action-oriented perspective of learning in classifier systems. Journal of Experimental and Theoretical Artificial Intelligence, 8(1), 43–62. 1996.

G. Weiss and S. Sen (Eds.). Adaptation and learning in multi-agent systems. Lecture Notes in Artificial Intelligence, Volume 1042. Springer-Verlag. (ISBN 3-540-60923-7). 1996.

G. Weiss. Distributed machine learning. Sankt Augustin: Infix Verlag. (ISBN 3-929037-75-0). 1995.

G. Weiss. Distributed reinforcement learning. Robotics and Autonomous Systems, 15, 135–142. 1995.

G. Weiss. Lernen und Aktionskoordinierung in Mehragentensystemen. In J. Müller (Ed.), Verteilte Künstliche Intelligenz – Methoden und Anwendungen (pp. 122–132). BI Verlag. 1993.  

G. Weiss. Learning to coordinate actions in multi-agent systems. In Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI, Vol. 1, pp. 311–316). Morgan Kaufmann Publ. 1993.

G. Weiss. Action selection and learning in multi-agent environments. In J.-A. Meyer, H.L. Roitblat, & S.W. Wilson (Eds.), From animals to animats 2 – Proceedings of the Second International Conference on Simulation of Adaptive Behavior (pp. 502–510). The MIT Press. 1993.
 

Automated Negotiation -  Electronic Auctions

S. Chen, T. Yang, H. You, J. Zhao, J. Hao and G. Weiss. Transfer reinforcement learning based negotiating agent framework. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science Vol. 13936, pp. 386-397, 2023.

S. Chen, J. Zhao, G. Weiss, R. Su and K. Lei. An effective negotiation agent framework based on deep offline reinforcement learning, 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023.

S. Chen, Y. Cui, G. Weiss, C. Shang and J. Hao. ONECG: Online coalitional negotiation game platform. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.

S. Chen and G. Weiss. Automated negotiation: An efficient approach to interaction among agents (Chapter 7, pp. 149-206). In J. Hao (Ed.), Interactions in Multiagent Systems. World Scientific, 2018.

S. Chen, J. Hao, S. Zhou and G. Weiss. Negotiating with unknown opponents toward multi-lateral agreement in real-time domains. In K. Fujita et al. (Eds.), Modern Approaches to Agent-based Complex Automated Negotiation (pp. 219-229). Studies in Computational Intelligence, Vol. 674. Springer Verlag, 2017.

S. Chen, G. Weiss and S. Zhou. Solving negotiation problems against unknown opponents with wisdom of crowds. KI 2016: Advances in Artificial Intelligence, Proceedings of the 39th German Conference on Artificial Intelligence (KI), Lecture Notes in Computer Science, Vol. 9904, pp. 126-133, 2016.

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), pp. 175-192, 2016.

S. Chen, J. Hao, G. Weiss, S. Zhou and Z. Zhang. Toward efficient agreements in real-time multilateral agent-based negotiations. Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI, pp. 896-903), 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, H.B. Ammar, K. Tuyls and G. Weiss. Transfer for automated negotiation. Künstliche Intelligenz, Vol. 28, Issue 1, 21-27, 2014.

S. Chen, H. Jianye, G. Weiss, K. Tuyls and H. Leung. Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. 21st European Conference on Artificial Intelligence (ECAI, pp. 983-984). 2014.

S. Chen, H. Jianye, G. Weiss, K. Tuyls and H. Leung. Evaluating practical automated negotiation based on spatial evolutionary game theory. In C. Lutz and M. Thielscher (Eds.), Advances in artificial intelligence. Proceedings of the 37th German Conference on Artificial Intelligence (KI). Springer-Verlag (Lecture Notes in Artificial Intelligence, Volume 8736, pp. 147-158), 2014.

S. Chen and G. Weiss. An intelligent agent for bilateral negotiation with unknown opponents in continuous-time domains. ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 9, Number 3, Article 16 (24 pages), 2014.

H. Jianye, S. Chen, G. Weiss, H. Leung and K. Tuyls. Robustness analysis of negotiation strategies through multiagent learning in negotiation games. In J.P. Müller, M. Weyrich and A. Bazzan (Eds.), Multiagent system technologies. Proceedings of the 12th German Conference on Multiagent System Technologies (MATES). Springer-Verlag (Lecture Notes in Computer Science Volume 8732, pp 41-56), 2014.

S. Zhou, S. Chen, E. Smirnov, G. Weiss and K. Tuyls. Automatic knowledge transfer for agent-based bilateral negotiation tasks. Seventh International Workshop on Agent-based Complex Automated Negotiations (ACAN). 2014.

S. Chen, H.B. Ammar, K. Driessens, K. Tuyls and G. Weiss. Automatic transfer between negotiation tasks. 13th International Workshop on Adaptive and Learning Agents (ALA). 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Optimizing complex automated negotiation using sparse pseudo-input Gaussian processes. Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 707-714), 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Conditional restricted Boltzmann machines for negotiations in highly competitive and complex domains. Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI, pp. 69-75). 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Automated negotiation based on sparse pseudo-input Gaussian processes. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 307-308), 2013.

S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Transfer learning for bilateral multi-issue negotiation. Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC), 2012.

S. Chen and G. Weiss. An efficient automated negotiation strategy for complex environments. Intern. Journal on Engineering Applications of Artificial Intelligence (EAAI), vol. 26, issue 10, pp. 2613-2623. 2013.

S.Chen and G.Weiss. OMAC: A discrete wavelet transformation based negotiation agent. In I. Marsa-Maestre, M.A. Lopez-Carmona, T. Ito, M. Zhang, Q. Bai & K. Fujita (Eds), Novel Insights in Agent-based Complex Automated Negotiation. Springer-Verlag (Studies in Computational Intelligence, Vol. 535, pp. 187-196). 2014.

S. Chen and G. Weiss. An efficient and adaptive approach to negotiation in complex environments. Proceedings of the 20th European Conference on Artificial Intelligence (ECAI, pp. 228-233). 2012.

S. Chen and G. Weiss. A novel strategy for efficient negotiation in complex environments. In I.J. Timm & C. Guttmann (Eds.), Multiagent System Technologies. 10th German Conference, MATES (pp. 68-82). Lecture Notes in Computer Science, Vol. 7598. 2012. Best Paper Award [link to Springer source]

M. Geipel and G. Weiss. A generic framework for argumentation-based negotiation. In M. Klusch, K. Hindriks, M.P. Papazoglou and L. Sterling (Eds.), Proceedings of the 11th International Workshop on Cooperative Information Agents (CIA, pp. 209-224). Lecture Notes in Computer Science, Volume 4676. Springer-Verlag. 2007.

M. Rovatsos, I. Rahwan, F. Fischer and G. 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.  

M. Rovatsos, I. Rahwan, F. Fischer and G. Weiss. Adaptive strategies for practical
argument-based negotiation. 3rd International Workshop on Argumentation in Multi-Agent Systems (ArgMAS). 2005.
 

F. Brandt and G. Weiss. Antisocial agents and Vickrey auctions. Proceedings of the 8th International Workshop on Agent Theories, Architectures, and Languages (ATAL, pp. 335–347). Lecture Notes in Computer Science, Volume 2333. Springer-Verlag. 2002.

F. Brandt and G. Weiss. Vicious strategies for Vickrey auctions. Proceedings of the 5th International Conference on Autonomous Agents (Agents, pp. 71–72). 2001.

F. Brandt, W. Brauer and G. Weiss. Task assignment in multiagent systems based on Vickrey-type auctioning. In Proceedings of the Fourth International Workshop on Cooperative Information Agents (CIA, pp. 95–106). Lecture Notes in Computer Science, Volume 1860. Springer-Verlag. 2000.

 

Robotics - Cognitive Robotics - Swarm Robotics

B. Sorger, K. Tumanov, A. Benitez-Andonegui, M. Lührs, H. Boeijkens, G. Weiss, R. Goebel and R. Möckel. An fNIRS-based brain-machine interface for remote robot control. Third International Conference on Real-Time Functional Imaging and Neurofeedback (rtFIN2017), 2017.

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. Principles and Applications. Woodhead Publishing Ltd. Chapter 13, pp. 273-299, 2015.

K. Tumanov, R. Goebel, R. Möckel, B. Sorger and G. Weiss. fNIRS-based BCI for robot control. Demonstration paper. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2015. Click here for a Video.

S. Alers, D. Claes, J. Fossel, D. Hennes, K. Tuyls and G. Weiss. How to win Robocup@work? The SwarmLab@work approach revealed. In S. Behnke, M. Veloso, A. Visser and R. Xiong (Eds.), RoboCup 2013: Robot World Cup XVII. Lecture Notes in Artificial Intelligence, Vol. 8371, pp. 147-158, Springer-Verlag. 2014.

S. Alers, D. Claes, K. Tuyls and G. Weiss. Biological inspired multi-robot foraging. Demonstration track of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 1683-1684), 2014.

S. Alers, B. Ranjbar-Sahraei, S. May, K. Tuyls and G. Weiss. An experimental framework for exploiting vision in swarm robotics. Proceedings of the 5th International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE, pp. 83-88). 2013.

S. Alers, B. Ranjbar-Sahraei, S. May, K. Tuyls and G. Weiss. Evaluation of an experimental framework for vision in swarm robotics. Proceedings of the 12th European Conference on Artificial Life (ECAL, pp. 775-782), 2013.

S. Alers, K. Tuyls, B. Ranjbar-Sahraei, D. Claes and G. Weiss. Insect-inspired robot coordination: Foraging and coverage. 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE, pp. 761-769). 2014.

B. Ranjbar-Sahraei, S. Alers, K. Stankova, K. Tuyls and G. Weiss. Toward soft heterogeneity in swarm robots. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 384-385), 2013.

B. Ranjbar-Sahraei, I.M. Groothuis, K. Tuyls and G. Weiss. Valuation of cooperation and defection in small world networks: A behavioral robotic approach. 26th Benelux Artificial Intelligence Conference (BNAIC, pp. 103-110), 2014.

B. Ranjbar-Sahraei, K. Stankova, K. Tuyls and G. Weiss. Stackelberg-based coverage approach in nonconvex environments. Proceedings of the 12th European Conference on Artificial Life (ECAL, pp. 462-469), 2013.

B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. A macroscopic model for multi-robot stigmergic coverage (StiCo). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 1233-1234), 2013.

B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. StiCo in action (Demo). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 1403-1404), 2013.

K. Stankova, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. StaCo: Stackelberg-based coverage approach in heterogeneous robotic swarms. Proceedings of the 5th International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE, pp. 71-76). 2013.

B. Ranjbar-Sahraei, G. Weiss and A. Nakisaee. Stigmergic coverage algorithm for multi-robot systems (Demo). Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Vol. 3, pp. 1497-1498. 2012.

B. Ranjbar-Sahraei, G. Weiss and A. Nakisaee. A multi-robot coverage approach based on stigmergic communication. In I.J. Timm & C. Guttmann (Eds.), Multiagent System Technologies. 10th German Conference, MATES (pp. 126-138). Lecture Notes in Computer Science, Vol. 7598. 2012. [link to Springer source]

B. Ranjbar-Sahraei, G. Weiss and A. Nakisaee. An adaptive stigmergic coverage approach for robot teams. Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC), October 2012.

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.

Networks (dynamics, cooperation, evolution, etc.)

B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. On the prevalence of hierarchies in social networks. Journal of Social Network Analysis and Mining, 6:58, 2016.

B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. On the skewed degree distribution of hierarchical networks. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015.

D. Bloembergen, B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. Influencing social networks: An optimal control study. 21st European Conference on Artificial Intelligence (ECAI2014, pp. 105-110). 2014.

B. Ranjbar-Sahraei, H.B. Ammar, D. Bloembergen, K. Tuyls and G. Weiss. Theory of cooperation in complex social networks. 28th AAAI Conference on Artificial Intelligence (AAAI, pp. 1471-1477). 2014.

B. Ranjbar-Sahraei, H.B. Ammar, D. Bloembergen, K. Tuyls and G. Weiss. Evolution of cooperation in arbitrary complex networks. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 677-684), 2014.

B. Ranjbar-Sahraei, D. Bloembergen, H.B. Ammar, K. Tuyls, and G. Weiss. Effects of evolution on the emergence of scale free networks. 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE, pp. 376-383). 2014.

B. Ranjbar-Sahraei, I.M. Groothuis, K. Tuyls and G. Weiss. Valuation of cooperation and defection in small world networks: A behavioral robotic approach. 26th Benelux Artificial Intelligence Conference (BNAIC, pp. 103-110), 2014.

Data Mining - Data Analysis - Knowledge Discovery - Prediction

M. Allahgholi, H. Rahmani, D. Javdani, Z. Sadeghi-Adl, A. Bender, D. Modos, and G. Weiss. DDREL: From Drug-Drug relationships to drug repurposing. Intelligent Data Analysis, Vol. 26(19), pp. 221-237, 2022.

V. Kolev, G. Weiss and G. Spanakis. FOREAL: RoBERTa Model for Fake News Detection Based on Emotions. 14th International Conference on Agents and Artificial Intelligence (ICAART), pp. 429-440, 2022.

P. Golshanrad, H. Rahmani, B. Karimian, F. Karimkhani and G. Weiss. MEGA: Predicting the best classifier combination using meta-learning and genetic algorithm. Intelligent Data Analysis, Volume 25(6), 2021. A. Grigoriu, A. Zaveri, G. Weiss and M. Dumontier. SIENA: Semi-automatic semantic enhancement of datasets using concept recognition. Journal of Biomedical Semantics, 12, Article 5, 2021.

H. Rahmani, D. Javdani and G. Weiss. SeMBlock: Semantic-aware Meta-Blocking approach. Intelligent Decision Technologies, vol. 15, no. 3, pp. 461-468, 2021.

A. Vandor, M. van Vollenhoven, G. Weiss and G. Spanakis. Can we detect harmony in artistic compositions? A machine learning approach. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART), Vol. 2, pp. 187-195, 2021.

M. Allahgholi, H. Rahmani, D. Javdani, G. Weiss and D. Modos. ADDI: Recommending alternatives for drug-drug Interactions with negative health effects. Computers in Biology and Medicine, Vol. 125, Article 103969, 2020.

M. Meyers, G. Spanakis and G. Weiss. Fake news detection on Twitter using propagation structures. 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), In M. van Duijn, M. Preuss, V. Spaiser, F. Takes and S. Verberne (Eds.), Disinformation in open online media, pp. 138-158, Springer-Verlag, LNCS Vol. 12259, 2020.

K. Smirnov, G. Spanakis and G. Weiss. Early fake news detection on Twitter by analysing user characteristics in a tweet propagation path. 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), 2020.

A. Grigoriu, A. Zaveri, G. Weiss and M. Dumontier. SIENA: Semi-automatic semantic enhancement of datasets using concept recognition. 27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology and the 18th European Conference on Computational Biology.(ISMB and ECCB), 2019.

B. Ranjbar-Sahraei, H. Rahmani, G. Weiss and K. Tuyls. Distant supervision of relation extraction in sparse data. Intelligent Data Analysis, Volume 23, pp. 1145-1166, 2019.

D. Rafailidis and G. Weiss. Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. https://arxiv.org/abs/1907.01645, 2019.

D. Rafailidis and G. Weiss. A Neural Attention Model for Self-Adaptive Learning of Social Friends' Preferences https://arxiv.org/abs/1907.01644, 2019.

B. Ranjbar-Sahraei, H. Rahmani, G. Weiss and K. Tuyls. Distant supervision of relation extraction in sparse data. Intelligent Data Analysis, Volume 23, pp. 1145-1166, 2019.

G. Spanakis and G. Weiss. Enhancing visual clustering using adaptive moving self-organizing maps (AMSOM). Volume 10162 of the series Lecture Notes in Computer Science. J. van den Herik and J. Filipe (Eds.). Agents and Artificial Intelligence. 8th International Conference, ICAART 2016, Revised selected papers, pp. 189-211. 2017.

G. Spanakis, G. Weiss, B. Boh, L. Lemmens and A. Roefs. Machine learning techniques in eating behavior e-coaching. International Journal of Personal and Ubiquitous Computing, 21, 645-659, 2017.

B. Boh, L. Lemmens, A. Jansen, C. Nederkoorn, V. Kerhofs, G. Spanakis, G. Weiss and A. Roefs. An ecological momentary intervention via smartphone and internet: Study protocol for a randomised controlled trial for weight loss and healthy eating. Trials - International Journal, Vol. 17:154, 2016. (Web version is available here.)

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. Volume 20(2), pp. 455-475, 2016.

H. Rahmani, G. Weiss, O. Mendez-Lucio and A. Bender. ARWAR: a Network Approach for Predicting Adverse Drug Reactions. International Journal on Computers in Biology and Medicine, Computers in Biology and Medicine, Volume 68, pp. 101-108, 2016. See also here for Web version.

G. Spanakis and G. Weiss. AMSOM: Adaptive Moving Self-Organizing Map for Clustering and Visualization. 8th International Conference on Agents and Artificial Intelligence (ICAART), pp. 129-140, 2016.

G. Spanakis, G. Weiss, B. Boh, V. Kerkhofs and A. Roefs. Utilizing longitudinal data to build decision trees for profile building and predicting eating behavior. International Conference on Health and Social Care Information Systems and Technologies (HCist), Procedia Computer Science, Vol. 100, pp. 782-789, 2016.

G. Spanakis, G. Weiss and A. Roefs. Bagged boosted trees for classification of ecological momentary assessment data. Frontiers in Artificial Intelligence, Volume 285: ECAI2016 (22nd European Conference on Artificial Intelligence), pp. 1612-1613, 2016.

G. Spanakis, G. Weiss and A. Roefs. Enhancing classification of ecological momentary assessment data using bagging and boosting. Proceedings of the IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 388-395, 2016.

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 G. Boothooft et. al. (Eds.) Population reconstruction. Springer-Verlag, pp. 129-154, 2015.

H. Rahmani and G. Weiss. Node classification in graph data using augmented random walk. International Conference on Web Research (ICWR), 2015.

B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. On the skewed degree distribution of hierarchical networks. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015.

B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. On the prevalence of hierarchies in social networks. Journal of Social Network Analysis and Mining, 6:58, 2016.

B. Ranjbar-Sahraei, J. Efremova, H. Rahmani, T. Calders, K. Tuyls and G. Weiss. HiDER: Query-driven entity resolution for historical data. European Conference on Machine Learning and Practice of Knowledge Discovery in Databases (14th Joint ECML-PKDD). 2015.

G. Spanakis, G. Weiss, B. Boh, V. Kerkhofs, L. Lemmens, A. Jansen, A. Roefs: Learning when you will eat unhealthy using decision trees for longitudinal data. Poster presentation at Healthy LifeStyle Solutions Conference (HLS), 2015.

G. Spanakis, G. Weiss, B. Boh and A. Roefs. Network analysis of ecological momentary assessment data for monitoring and understanding eating behavior. International Conference on Smart Health (ICSH). Springer-Verlag, Lecture Notes in Computer Science, Vol. 9545, pp. 43-54, 2015.

H. Rahmani, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. Contextual entity resolution approach for genealogical data. Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML). Proceedings of the 16th LWA Workshops: KDML, IR, FGWM (pp. 168-179). 2014.

L. Cao, G. Weiss and P.S. Yu. A brief introduction to agent mining. Journal of Autonomous Agents and Multi-Agent Systems, 25(3):419-424, 2012.

L. Cao, G. Weiss and P.S. Yu (Eds.). Special Issue on Agent Mining, International Journal on Agents and Multiagent Systems, Vol. 25(3), 2012.

L. Cao, A. Bazzan, A. Symeonidis, V. Gorodetsky, G. Weiss and P.S. Yu (Eds.) Agents and Data Mining Interaction, Lecture Notes in Computer Science, Volume 7103, Springer-Verlag, 2012.

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.

G. Nalbantov, E. Smirnov, 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.

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.

M. Nickles, M. Rovatsos, M. Schmitt, W. Brauer, F. Fischer, T. Malsch, K. Paetow and G. Weiss. The empirical semantics approach to communication structure learning and usage: individuals- versus system-views. Journal of Artificial Societies and Social Simulation, Vol. 10(1). 2007.