Publications

MACHINE LEARNING

  1. Aydoğan, R., Marsa-Maestre, I., Klein, M., & Jonker, C. M. (2018). A machine learning approach for mechanism selection in complex negotiations. Journal of Systems Science and Systems Engineering, 27(2), 134-155.


  1. Tunalı, O., Aydoğan, R., & Sanchez-Anguix, V. (2017, October). Rethinking frequency opponent modeling in automated negotiation. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 263-279). Springer, Cham.
  1. Aydoğan, R., & Yolum, P. (2012). Learning opponent’s preferences for effective negotiation: an approach based on concept learning. Autonomous Agents and Multi-Agent Systems, 24(1), 104-140.
  1. Aydoğan, R., & Yolum, P. (2009, September). Ontology-based learning for negotiation. In Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT’09. IEEE/WIC/ACM International Joint Conferences on (Vol. 2, pp. 177-184). IEEE.
  2. Aydoǧan, R., & Yolum, P. (2009, May). Learning disjunctive preferences for negotiating effectively. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems Volume 2 (pp. 1201-1202). International Foundation for Autonomous Agents and Multiagent Systems.

DECISION MAKING AND INTELLIGENT SYSTEMS

  1. Sanchez-Anguix, V., Aydoğan, R., Baarslag, T., & Jonker, C. M. (2018). Bottom-up approaches to achieve Pareto optimal agreements in group decision making. Knowledge and Information System (KAIS). (Accepted).
  2. Aydoğan, R., Marsa-Maestre, I., Klein, M., & Jonker, C. M. (2018). A machine learning approach for mechanism selection in complex negotiations. Journal of Systems Science and Systems Engineering, 27(2), 134-155.
  3. Mell, J., Gratch, J., Baarslag, T., Aydoğan, R., & Jonker, C. M. (2018, November). Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition. In Proceedings of the 18th International Conference on Intelligent Virtual Agents (pp. 23-28). ACM.
  4. Aydoğan, R., Keskin, O., & Çakan, U. (2018). Let’s negotiate with Jennifer! Towards a Speech-based Human-Robot Negotiation. Stockholm: The 11th International Workshop on Automated Negotiation, ACAN.
  5. Aydoğan, R., Fujita, K., Baarslag, T., Jonker, C. M., & Ito, T. (2018). ANAC 2017: Repeated Multilateral Negotiation League. Stockholm: The 11th International Workshop on Automated Negotiation, ACAN.
  6. Sanchez-Anguix V., Aydoğan R., Chalumuri R., Julian V. (2018) A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance. Journal of Applied Soft Computing, 76, 1-15.
  1. Jonker, C. M., Aydoğan, R., Baarslag, T., Fujita, K., Ito, T., & Hindriks, K. V. (2017). Automated Negotiating Agents Competition (ANAC). In AAAI (pp. 5070-5072).
  2. Aydoğan, R., Øzturk, P., & Razeghi, Y. (2017, October). Negotiation for incentive driven privacy-preserving information sharing. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 486-494). Springer, Cham.
  3. Güneş, T. D., Arditi, E., & Aydoğan, R. (2017, October). Collective voice of experts in multilateral negotiation. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 450-458). Springer, Cham.
  4. Tunalı, O., Aydoğan, R., & Sanchez-Anguix, V. (2017, October). Rethinking frequency opponent modeling in automated negotiation. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 263-279). Springer, Cham.
  5. Dev, O. B., Aydoğan, R., & Öztop, E. (2017, May). Surviving in artificial life simulation. In Signal Processing and Communications Applications Conference (SIU), 2017 25th (pp. 1-4). IEEE.
  6. Jonker, C. M., Aydoğan, R., Baarslag, T., Fujita, K., Ito, T., & Hindriks, K. V. (2017). Automated Negotiating Agents Competition (ANAC). In AAAI (pp. 5070-5072).
  7. Aydoğan, R., Festen, D., Hindriks, K. V., & Jonker, C. M. (2017). Alternating offers protocols for multilateral negotiation. In Modern Approaches to Agent-based Complex Automated Negotiation (pp. 153-167). Springer, Cham.
  1. Jonker, C. M., Aydoğan, R., Baarslag, T., Broekens, J., Detweiler, C. A., Hindriks, K. V., … & Pasman, W. (2016). An introduction to the pocket negotiator: a general purpose negotiation support system. In Multi-Agent Systems and Agreement Technologies (pp. 13-27). Springer, Cham.
  2. Sanchez-Anguix, V., Aydoğan, R., Baarslag, T., & Jonker, C. M. (2016, August). Can we reach Pareto optimal outcomes using bottom-up approaches?. In International Workshop on Conflict Resolution in Decision Making (pp. 19-35). Springer, Cham.
  3. Aydoğan, R., Baarslag, T., Jonker, C. M., Fujita, K., Ito, T., Hadfi, R., & Hayakawa, K. (2016). A baseline for non-linear bilateral negotiations: the full results of the agents competing in ANAC 2014.
  4. Fujita, K., Aydoğan, R., Baarslag, T., Ito, T., & Jonker, C. M. (2016). The fifth automated negotiating agents competition (anac 2014). In Recent Advances in Agent-based Complex Automated Negotiation (pp. 211-224). Springer, Cham.
  1. Aydoğan, R., Baarslag, T., Hindriks, K. V., Jonker, C. M., & Yolum, P. (2015). Heuristics for using CP-nets in utility-based negotiation without knowing utilities. Knowledge and Information Systems, 45(2), 357-388.
  2. Baarslag, T., Gerding, E. H., Aydoğan, R., & Schraefel, M. C. (2015, December). Optimal negotiation decision functions in time-sensitive domains. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE/WIC/ACM International Conference on (Vol. 2, pp. 190-197). IEEE.
  3. Fujita, K., Aydoğan, R., Baarslag, T., Hindriks, K., Ito, T., & Jonker, C. M. (2017). The sixth automated negotiating agents competition (ANAC 2015). In Modern Approaches to Agent-based Complex Automated Negotiation (pp. 139-151). Springer, Cham.
  1. Sanchez-Anguix, V., Aydoğan, R., Julian, V., & Jonker, C. M. (2014). Unanimously acceptable agreements for negotiation teams in unpredictable domains. Electronic Commerce Research and Applications, 13(4), 243-265.
  2. Marsa-Maestre, I., Klein, M., Jonker, C. M., & Aydoğan, R. (2014). From problems to protocols: Towards a negotiation handbook. Decision Support Systems, 60, 39-54.
  3. Aydoğan, R., Sanchez, V., Julian, V., Broekens, J., & Jonker, C. M. (2014). Guest editorial: Computational approaches for conflict resolution in decision making: New advances and developments. Cybernetics and Systems, 45(3), 217-221.
  4. Aydoğan, R., Sharpanskykh, A., & Lo, J. (2014, December). A Trust-Based Situation Awareness Model. In European Conference on Multi-Agent Systems (pp. 19-34). Springer, Cham.
  5. Harbers, M., Aydoğan, R., Jonker, C. M., & Neerincx, M. A. (2014, May). Sharing information in teams: giving up privacy or compromising on team performance?. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (pp. 413-420). International Foundation for Autonomous Agents and Multi-agent Systems.
  6. Oey, M., Genç, Z., Ghorbani, A., Aldewereld, H., Brazier, F., Aydoğan, R., … & Wijngaards, N. (2014, August). Modelling multi-stakeholder systems: a case study. In Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 03 (pp. 404-411). IEEE Computer Society.
  7. Aydoğan, R., Lo, J. C., Meijer, S. A., & Jonker, C. M. (2014). Modeling network controller decisions based upon situation awareness through agent-based negotiation. In Frontiers in Gaming Simulation (pp. 191-200). Springer, Cham.
  8. Aydoğan, R., Hindriks, K. V., & Jonker, C. M. (2014). Multilateral mediated negotiation protocols with feedback. In Novel Insights in Agent-based Complex Automated Negotiation (pp. 43-59). Springer, Tokyo.
  9. Sanchez-Anguix, V., Aydoğan, R., Julian, V., & Jonker, C. M. (2014). Intra-Team Strategies for Teams Negotiating Against Competitor, Matchers, and Conceders. In Novel Insights in Agent-based Complex Automated Negotiation (pp. 3-22). Springer, Tokyo.
  1. Esparcia, S., Sánchez-Anguix, V., & Aydoğan, R. (2013, May). A negotiation approach for energy-aware room allocation systems. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 280-291). Springer, Berlin, Heidelberg.
  2. Aydoğan, R., Baarslag, T., Hindriks, K. V., Jonker, C. M., & Yolum, P. (2013). Heuristic-based approaches for CP-nets in negotiation. In Complex automated negotiations: theories, models, and software competitions (pp. 113-123). Springer, Berlin, Heidelberg.
  3. Aydoğan, R., Hindriks, K., & Jonker, C. M. (2013). Multilateral Mediated Negotiation Protocols with Feedback. Delft: In Proceedings of the 25th Benelux Conference on Artificial Intelligence (BNAIC). Extended Abstract
  1. Aydoğan, R., & Yolum, P. (2012). Learning opponent’s preferences for effective negotiation: an approach based on concept learning. Autonomous Agents and Multi-Agent Systems, 24(1), 104-140.
  2. Visser, W., Aydoğan, R., Hindriks, K. V., & Jonker, C. M. (2012, October). A Framework for Qualitative Multi-criteria Preferences. In ICAART (1) (pp. 243-248).
  3. Aydoğan, R., & Yolum, P. (2012). The effect of preference representation on learning preferences in negotiation. In New Trends in Agent-Based Complex Automated Negotiations (pp. 3-20). Springer, Berlin, Heidelberg.
  4. Jonker, C. M., & Aydoğan, R. (2012). Onderhandelingstechniek cruciaal bij cloudcomputing. AutomatiseringGids. (A Dutch Magazine)
  1. Aydoğan, R. (2011). Negotiating with Qualitative Preferences: Methods for Generating Bids Effectively. Turkey: Boğaziçi University. Ph.D. Thesis
  1. Aydoǧan, R., & Yolum, P. (2010, May). Effective negotiation with partial preference information. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1 (pp. 1605-1606). International Foundation for Autonomous Agents and Multiagent Systems.
  2. Aydoğan, R., Taşdemir, N., & Yolum, P. (2010). Reasoning and negotiating with complex preferences using CP-nets. In Agent-mediated electronic commerce and trading agent design and analysis (pp. 15-28). Springer, Berlin, Heidelberg.
  3. Aydoğan, R. (2010). Preferences and Learning in Multi-Agent Negotiation. AAAI-DC, Atlanta, USA, 1972-1973.
  4. Aydoğan, R., & Yolum, P. (2010). Heuristics for cp-nets: Negotiating effectively with partial preferences. In HUCOM Workshop in Group Decision and Negotiation, The Netherlands.
  1. Aydoğan, R., & Yolum, P. (2009, September). Ontology-based learning for negotiation. In Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT’09. IEEE/WIC/ACM International Joint Conferences on (Vol. 2, pp. 177-184). IEEE.
  2. Aydoǧan, R., & Yolum, P. (2009, May). Learning disjunctive preferences for negotiating effectively. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems Volume 2 (pp. 1201-1202). International Foundation for Autonomous Agents and Multiagent Systems.
  1. Aydoǧan, R. (2008, May). Content-oriented composite service negotiation with complex preferences. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: doctoral mentoring program (pp. 1725-1726). International Foundation for Autonomous Agents and Multiagent Systems.
  1. Aydoğan, R., & Zirtiloglu, H. (2007, July). A graph-basedweb service composition technique using ontological information. In Web Services, 2007. ICWS 2007. IEEE International Conference on (pp. 1154-1155). IEEE.
  2. Aydoğan, R., & Yolum, P. (2007, May). Learning consumer preferences using semantic similarity. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (p. 229). ACM.
  3. Aydoğan, R. (2007, May). Content-oriented Composite Service Negotiation in E-commerce (pp. 8-9). AAMAS 2007 Doctoral Mentoring Program, USA, Hawaii.
  1. Aydoğan, R. (2006). Content-Oriented Negotiation in E-commerce. Turkey: Boğaziçi University. M.S. Thesis.
  2. Aydoğan, R., & Yolum, P. (2006). Learning consumer preferences for contentoriented negotiation. In AAMAS workshop on business agents and the semantic web (BASeWEB) (pp. 43-52).

ROBOTICS AND HUMAN-AGENT INTERACTION

  1. Mell, J., Gratch, J., Baarslag, T., Aydoğan, R., & Jonker, C. M. (2018, November). Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition. In Proceedings of the 18th International Conference on Intelligent Virtual Agents (pp. 23-28). ACM.
  2. Aydoğan, R., Keskin, O., & Çakan, U. (2018). Let’s negotiate with Jennifer! Towards a Speech-based Human-Robot Negotiation. Stockholm: The 11th International Workshop on Automated Negotiation, ACAN.

NATURAL LANGUAGE PROCESSING

  1. Kandemir, M., Kekeç, T., & Yeniterzi, R. (2018). Supervising topic models with Gaussian processes. Pattern Recognition, 77, 226-236.
  2. Oflazer, K., Yeniterzi, R., & Durgar-El Kahlout, I. (2018). Statistical Machine Translation and Turkish. In Turkish Natural Language Processing (pp. 207-236). Springer, Cham.
  3. Yeniterzi, R., Tür, G., & Oflazer, K. (2018). Turkish Named-Entity Recognition. In Turkish Natural Language Processing(pp. 115-132). Springer, Cham.
  1. Wijaya, D. T., & Yeniterzi, R. (2011, October). Understanding semantic change of words over centuries. In Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web (pp. 35-40). ACM.
  2. Yeniterzi, R., & Callan, J. (2015, April). Moving from Static to Dynamic Modeling of Expertise for Question Routing in CQA Sites. In ICWSM (pp. 702-705).
  3. Yeniterzi, Reyyan. Effective and efficient approaches to retrieving and using expertise in social media. Diss. Ph. D. dissertation, 2015.
  1. Yeniterzi, R., & Callan, J. (2014, July). Constructing effective and efficient topic-specific authority networks for expert finding in social media. In Proceedings of the first international workshop on Social media retrieval and analysis (pp. 45-50). ACM.
  2. Yeniterzi, R., & Callan, J. (2014, July). Analyzing bias in CQA-based expert finding test sets. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (pp. 967-970). ACM.
  1. Yeniterzi, R. (2013, July). Effective approaches to retrieving and using expertise in social media. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (pp. 1150-1150). ACM.
  1. Kim, Y., Yeniterzi, R., & Callan, J. (2012). Overcoming vocabulary limitations in twitter microblogs. TREC.
  1. Yeniterzi, R. (2011, June). Exploiting morphology in Turkish named entity recognition system. In Proceedings of the ACL 2011 Student Session (pp. 105-110). Association for Computational Linguistics.
  1. Aberdeen, J., Bayer, S., Yeniterzi, R., Wellner, B., Clark, C., Hanauer, D., … & Hirschman, L. (2010). The MITRE Identification Scrubber Toolkit: design, training, and assessment. International journal of medical informatics, 79(12), 849-859.
  2. Yeniterzi, R., & Oflazer, K. (2010, July). Syntax-to-morphology mapping in factored phrase-based statistical machine translation from English to Turkish. In Proceedings of the 48th annual meeting of the association for computational linguistics(pp. 454-464). Association for Computational Linguistics.
  3. Yeniterzi, R., Aberdeen, J., Bayer, S., Wellner, B., Hirschman, L., & Malin, B. (2010). Effects of personal identifier resynthesis on clinical text de-identification. Journal of the American Medical Informatics Association, 17(2), 159-168.
  1. Erdem, E., & Yeniterzi, R. (2009, June). Transforming controlled natural language biomedical queries into answer set programs. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (pp. 117-124). Association for Computational Linguistics.
  1. Küçükural, A., Yeniterzi, R., Yeniterzi, S., & Sezerman, O. U. (2007, July). Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms. In Proceedings of the 9th annual conference on Genetic and evolutionary computation (pp. 401-406). ACM.

COMPUTER VISION

UNDER CONSTRUCTION