| Multi-issue Negotiation Protocol for Agents: Exploring Nonlinear Utility Spaces. T Ito, H Hattori, M Klein IJCAI 7, 1347-1352, 2007 | 238 | 2007 |
| Evaluating practical negotiating agents: Results and analysis of the 2011 international competition T Baarslag, K Fujita, EH Gerding, K Hindriks, T Ito, NR Jennings, C Jonker, ... Artificial Intelligence 198, 73-103, 2013 | 230 | 2013 |
| Fedopt: Towards communication efficiency and privacy preservation in federated learning M Asad, A Moustafa, T Ito Applied Sciences 10 (8), 2864, 2020 | 174 | 2020 |
| A multi-issue negotiation protocol among agents with nonlinear utility functions T Ito, M Klein, H Hattori Multiagent and Grid Systems 4 (1), 67-83, 2008 | 115 | 2008 |
| COLLAGREE: A faciliator-mediated large-scale consensus support system T Ito, Y Imi, T Ito, E Hideshima Collective Intelligence 2014, 10-12, 2014 | 114 | 2014 |
| Biddingbot: a multiagent support system for cooperative bidding in multiple auctions T Ito, N Fukuta, T Shintani, K Sycara Proceedings fourth international conference on multiagent systems, 399-400, 2000 | 101 | 2000 |
| Persuasion among agents: An approach to implementing a group decision support system based on multi-agent negotiation T Ito, T Shintani international joint conference on artificial intelligence 15, 592-599, 1997 | 95 | 1997 |
| Task allocation in the robocup rescue simulation domain: A short note R Nair, T Ito, M Tambe, S Marsella RoboCup 2001: Robot Soccer World Cup V 5, 751-754, 2002 | 94 | 2002 |
| Balancing Utility and Deal Probability for Auction-Based Negotiations in Highly Nonlinear Utility Spaces. I Marsa-Maestre, MA Lopez-Carmona, JR Velasco, T Ito, M Klein, K Fujita IJCAI 9, 214-219, 2009 | 81 | 2009 |
| A group-buy protocol based on coalition formation for agent-mediated e-commerce T Ito, H Ochi, T Shintani IJCIS 3 (1), 11-20, 2002 | 81 | 2002 |
| An Agent that Facilitates Crowd Discussion T Ito, R Hadfi, S Suzuki Group Decision and Negotiation, 1-27, 2021 | 76* | 2021 |
| Unit commitment strategy of thermal generators by using advanced fuzzy controlled binary particle swarm optimization algorithm S Chakraborty, T Ito, T Senjyu, AY Saber International Journal of Electrical Power & Energy Systems 43 (1), 1072-1080, 2012 | 72 | 2012 |
| Automated negotiating agents competition (ANAC) C Jonker, R Aydogan, T Baarslag, K Fujita, T Ito, K Hindriks Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 71 | 2017 |
| Intelligent economic operation of smart-grid facilitating fuzzy advanced quantum evolutionary method S Chakraborty, T Ito, T Senjyu, AY Saber IEEE Transactions on Sustainable Energy 4 (4), 905-916, 2013 | 70 | 2013 |
| Multiple negotiations among agents for a distributed meeting scheduler T Shintani, T Ito, K Sycara Proceedings fourth international conference on multiagent systems, 435-436, 2000 | 69 | 2000 |
| Evaluating the communication efficiency in federated learning algorithms M Asad, A Moustafa, T Ito, M Aslam 2021 IEEE 24th international conference on computer supported cooperative …, 2021 | 65 | 2021 |
| Ontology-based architecture for intelligent transportation systems using a traffic sensor network S Fernandez, R Hadfi, T Ito, I Marsa-Maestre, JR Velasco Sensors 16 (8), 1287, 2016 | 63 | 2016 |
| Federated learning versus classical machine learning: A convergence comparison M Asad, A Moustafa, T Ito arXiv preprint arXiv:2107.10976, 2021 | 62 | 2021 |
| AgentK: Compromising strategy based on estimated maximum utility for automated negotiating agents S Kawaguchi, K Fujita, T Ito New Trends in Agent-Based Complex Automated Negotiations, 137-144, 2011 | 60 | 2011 |
| Argumentative conversational agents for online discussions R Hadfi, J Haqbeen, S Sahab, T Ito Journal of Systems Science and Systems Engineering 30, 450-464, 2021 | 59 | 2021 |
Rafik HadfiKyoto UniversityVerified email at kyoto-u.ac.jp
