Invited talks

  1. (2022). Generalized Bargaining Mechanisms: Mechanism Design for Automated Negotiation; IBM/DIMACS Workshop on Bridging Game Theory and Machine Learning for Multi-party Decision Making, October 27-28, New Jersey, USA.
  2. (2022). Concurrent Negotiation in Supply Chains: Problems; Solutions and Challenges; The 13th International Workshop on Agent-based Complex Automated Negotiations in conjunction with the 31st International Joint Conference on Artificial Intelligence, Vienna, Austria.
  3. (2018). Analysis and commentary on PRIANAC and ANAC; Pacific Rim International Automated Negotiation Agents Competition (PRIANAC) in conjunction with PRIMA , Tokyo, Japan.
  4. (2018). Fluid Imitation; Human-Robot Interaction: From Service to Industry (HRI-SI2018) part of IEEE ROMAN 2018, Nanjing, China.
  5. (2012). SSA application to motif discovery and causality analysis in robotics; Third International Conference on SSA and its applications, Beijing, China, May 17th-May 20th.

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  1. Mohammad, Y. (2023). Generalized Bargaining Protocols. Australasian Joint Conference on Artificial Intelligence, 261–273.</div>

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  2. Mohammad, Y. (2022). Mutual Intention in Human-Robot Teams. The First Egyptian Japanese International Symposium on Science and Technology (EJISST), 122–123.</div>

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  3. Sengupta, A., Nakadai, S., & Mohammad, Y. (2022). Transfer Learning Based Adaptive Automated Negotiating Agent Framework. International Joint Conference on Artificial Intelligence.</div>

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  4. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2021). Speech Emotion Recognition Using Combined Multiple Pairwise Classifiers. International Conference on Human-Computer Interaction, 115–118.</div>

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  5. Sengupta, A., Mohammad, Y., & Nakadai, S. (2021). An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 1163–1172.</div>

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  6. Ninagawa, K., Mohammad, Y., & Greenwald, A. (2021). Baseline Strategies for the ANAC Automated Negotiation League. 3rd Games, Agents, and Incentives Workshop, In Conjunction With AAMAS.</div>

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  7. Viqueira, E. A., Cousins, C., Mohammad, Y., & Greenwald, A. (2020). Empirical mechanism design: Designing mechanisms from data. Uncertainty in Artificial Intelligence, 1094–1104.</div>

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  8. Mohammad, Y. (2020). Optimal deterministic time-based policy in automated negotiation. International Conference on Principles and Practice Of Multi-Agent Systems, 68–83.</div>

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  9. Heracleous, P., Takai, K., Wang, Y., Yasuda, K., Yoneyama, A., & Mohammad, Y. (2020). An Empirical Study on Feature Extraction in DNN-Based Speech Emotion Recognition. International Conference on Human-Computer Interaction, 315–319.</div>

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  10. Aydoğan, R., Baarslag, T., Fujita, K., Mell, J., Gratch, J., Jonge, D. de, Mohammad, Y., Nakadai, S., Morinaga, S., Osawa, H., & others. (2020). Challenges and main results of the automated negotiating agents competition (ANAC) 2019. Multi-Agent Systems and Agreement Technologies, 366–381.</div>

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  11. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2020). Integrating language and emotion features for multilingual speech emotion recognition. International Conference on Human-Computer Interaction, 187–196.</div>

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  12. Heracleous, P., Mohammad, Y., Yasuda, K., & Yoneyama, A. (2019, April). Speech emotion recognition using spontaneous children’s corpus. International Conference on Computational Linguistics And Intelligent Text Processing (CICLing).</div>

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  13. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2019). Deep convolutional neural networks for feature extraction in speech emotion recognition. International Conference on Human-Computer Interaction, 117–132.</div>

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  14. Rayan, Y., Mohammad, Y., & Ali, S. A. (2019). Multidimensional Permutation Entropy for Constrained Motif Discovery. Asian Conference on Intelligent Information and Database Systems, 231–243.</div>

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  15. Mohammad, Y., Nakadai, S., & Greenwald, A. (2019). NegMAS: a platform for situated negotiations. International Workshop on Agent-Based Complex Automated Negotiation, 57–75.</div>

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  16. Mohammad, Y., & Nakadai, S. (2019). Optimal value of information based elicitation during negotiation. Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems, 242–250.</div>

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  17. Mohammad, Y., Viqueira, E. A., Ayerza, N. A., Greenwald, A., Nakadai, S., & Morinaga, S. (2019). Supply chain management world. International Conference on Principles and Practice Of Multi-Agent Systems, 153–169.</div>

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  18. Heracleous, P., Mohammad, Y., Takai, K., Yasuda, K., & Yoneyama, A. (2018, March). I-vectors and Deep Convolutional Neural Networks for Language Identification in Clean and Reverberant Environments. International Conference on Computational Linguistics And Intelligent Text Processing (CICLing).</div>

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  19. Heracleous, P., Takai, K., Yasuda, K., Mohammad, Y., & Yoneyama, A. (2018). Comparative study on spoken language identification based on deep learning. 2018 26th European Signal Processing Conference (EUSIPCO), 2265–2269.</div>

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  20. Heracleous, P., Mohammad, Y., Takai, K., Yasuda, K., Yoneyama, A., & Sugaya, F. (2018). A study on far-field emotion recognition based on deep convolutional neural networks. Proceedings of International Conference on Computational Linguistics and Intelligent Text Processing.</div>

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  21. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2018). Feature Selection Using Deep Neural Networks for Speech Emotion Recognition. Acoustical Society of Japan Autumn Meeting.</div>

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  22. Mohammad, Y., & Nakadai, S. (2018). Utility elicitation during negotiation with practical elicitation strategies. 2018 IEEE International Conference on Systems, Man, And Cybernetics (SMC), 3100–3107.</div>

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  23. Mohammad, Y., & Nakadai, S. (2018). Fastvoi: Efficient utility elicitation during negotiations. International Conference on Principles and Practice Of Multi-Agent Systems, 560–567.</div>

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  24. Heracleous, P., Mohammad, Y., Takai, K., Yasuda, K., & Yoneyama, A. (2018). Spoken language identification based on i-vectors and conditional random fields. 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 1443–1447.</div>

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  25. Mohammad, Y., Matsumoto, K., & Hoashi, K. (2018). Deep feature learning and selection for activity recognition. Proceedings of the 33rd Annual ACM Symposium on Applied Computing , 930–939.</div>

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  26. Hussein, M., Mohammad, Y., & Ali, S. A. (2017). COLD: A ROS package for continuous Learning from Demonstration teaching a robot to write. 2017 IEEE International Conference on Mechatronics and Automation (ICMA), 651–657.</div>

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  27. Mohammad, Y., Matsumoto, K., & Hoashi, K. (2017). A dataset for activity recognition in an unmodified kitchen using smart-watch accelerometers. Proceedings of the 16th International Conference on Mobile And Ubiquitous Multimedia, 63–68.</div>

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  28. Mohammad, Y., & Nishida, T. (2016). $ MC\^ 2$: An Integrated Toolbox for Change, Causality and Motif Discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 128–141.</div>

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  29. Mohammad, Y., & Nishida, T. (2015). Cultural difference in back-imitation’s effect on the perception of robot’s imitative performance. International Workshop on Cultural Robotics, 17–32.</div>

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  30. Nishida, T., Abe, M., Ookaki, T., Lala, D., Thovuttikul, S., Song, H., Mohammad, Y., Nitschke, C., Ohmoto, Y., Nakazawa, A., & others. (2015). Synthetic evidential study as augmented collective thought process–preliminary report. Asian Conference on Intelligent Information and Database Systems, 13–22.</div>

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  31. Mohammad, Y., & Nishida, T. (2015). Simple incremental GMM modeling using multidimensional piecewise linear segmentation for learning from demonstration. 3rd International Conference on Industrial Application Engineering (ICIAE), 15, 471–478.</div>

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  32. Mohammad, Y., & Nishida, T. (2014). Scale invariant multi-length motif discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 417–426.</div>

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  33. Mohammad, Y., & Nishida, T. (2014). Exact discovery of length-range motifs. Asian Conference on Intelligent Information and Database Systems, 23–32.</div>

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  34. Mohammad, Y. F. O., & Nishida, T. (2014). Why should we imitate robots? Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, 1499–1500.</div>

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  35. Lala, D., Nishida, T., & Mohammad, Y. (2014). A joint activity theory analysis of body interactions in multiplayer virtual basketball. Proceedings of the 28th International BCS Human Computer Interaction Conference (HCI 2014) 28, 62–71.</div>

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  36. Mohammad, Y., & Nishida, T. (2014). Robust learning from demonstrations using multidimensional SAX. 2014 14th International Conference on Control, Automation And Systems (ICCAS 2014), 64–71.</div>

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  37. Mohammad, Y., & Nishida, T. (2014). Effect of back and mutual imitation on human’s perception of a humanoid’s imitative skill. The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 788–795.</div>

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  38. Tatsumi, S., Mohammad, Y., Ohmoto, Y., & Nishida, T. (2014). Detection of hidden laughter for human-agent interaction. Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, 35, 1053–1062.</div>

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  39. Mohammad, Y., & Nishida, T. (2014). Human-like motion of a humanoid in a shadowing task. 2014 International Conference on Collaboration Technologies And Systems (CTS), 123–130.</div>

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  40. Mohammad, Y., Nishida, T., & Nakazawa, A. (2013). Arm pose copying for humanoid robots. 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 897–904.</div>

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  41. Mohammad, Y. F. O. (2013). Learning Sensorimotor Concepts without reinforcement. AAAI Symposium on Life Long Learning.</div>

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  42. Mohammad, Y., & Nishida, T. (2013). Approximately recurring motif discovery using shift density estimation. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 141–150.</div>

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  43. Lala, D., Mohammad, Y., & Nishida, T. (2013). Unsupervised gesture recognition system for learning manipulative actions in virtual basketball. Proceedings of the 1st International Conference on Human-Agent Interaction.</div>

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  44. Mohammad, Y., & Nishida, T. (2013). Tackling the correspondence problem. International Conference on Active Media Technology, 84–95.</div>

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  45. Mohammad, Y., & Nishida, T. (2012). Unsupervised discovery of basic human actions from activity recording datasets. 2012 IEEE/SICE International Symposium on System Integration (SII), 402–409.</div>

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  46. Mohammad, Y., & Nishdia, T. (2012). Self-initiated imitation learning. Discovering what to imitate. 2012 12th International Conference on Control, Automation And Systems, 726–732.</div>

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  47. Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). CPMD: a matlab toolbox for change point and constrained motif discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 114–123.</div>

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  48. Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). Common sensorimotor representation for self-initiated imitation learning. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 381–390.</div>

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  49. Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). G-SteX: greedy stem extension for free-length constrained motif discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 417–426.</div>

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  50. Mohammad, Y., & Nishida, T. (2011). On comparing SSA-based change point discovery algorithms. 2011 IEEE/SICE International Symposium on System Integration (SII), 938–945.</div>

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  51. Mohammad, Y., & Nishida, T. (2011). Discovering causal change relationships between processes in complex systems. 2011 IEEE/SICE International Symposium on System Integration (SII), 12–17.</div>

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  52. Mohammad, Y. F. O., & Nishida, T. (2010, June). Unsupervised Learning of Interactive Behavior for HRI. RSS Workshop on Learning for Human Robot Interaction Modeling.</div>

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  53. Mohammad, Y. F. O., & Nishida, T. (2010). Learning spontaneous nonverbal behavior using a three layers hierarchy. Proceedings of the 10th WSEAS International Conference on Applied Computer Science, 430–435.</div>

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  54. Mohammad, Y., & Nishida, T. (2010). Learning interaction protocols using augmented baysian networks applied to guided navigation. 2010 IEEE/RSJ International Conference on Intelligent Robots And Systems, 4119–4126.</div>

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  55. Mohammad, Y., Okada, S., & Nishida, T. (2010). Autonomous development of gaze control for natural human-robot interaction. Proceedings of the 2010 Workshop on Eye Gaze in Intelligent Human Machine Interaction, 63–70.</div>

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  56. Mohammad, Y., & Nishida, T. (2010). Down-up-down behavior generation for interactive robots. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 92–101.</div>

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  57. Mohammad, Y., & Nishida, T. (2010). Incremental gesture discovery for interactive robots. 2010 IEEE International Conference on Robotics and Biomimetics, 185–189.</div>

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  58. Mohammad, Y., & Nishida, T. (2009). Change point detection using robust singular spectrum transform applied to mining human-human interaction records. International Conference on Data Mining.</div>

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  59. Mohammad, Y., & Nishida, T. (2009). Measuring naturalness during close encounters using physiological signal processing. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 281–290.</div>

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  60. Mohammad, Y., & Nishida, T. (2009). Robust singular spectrum transform. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 123–132.</div>

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  61. Mohammad, Y., Nishida, T., & Okada, S. (2009). Unsupervised simultaneous learning of gestures, actions and their associations for human-robot interaction. 2009 IEEE/RSJ International Conference on Intelligent Robots And Systems, 2537–2544.</div>

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  62. Mohammad, Y., & Nishida, T. (2008). Two Layers Action Integration for HRI: Action Integration with Attention Focusing for Interactive Robots. International Conference on Informatics in Control, Automation Robotics (ICINCO), 41–48.</div>

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  63. Mohammad, Y., & Nishida, T. (2008, January). Natural Listening Robot for AAL Applications. International Workshop on IUI for Ambient Assisted Living (IUI4AAL).</div>

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  64. Mohammad, Y., & Nishida, T. (2008). TWO LAYERS ACTION INTEGRATION FOR HRI-Action Integration with Attention Focusing for Interactive Robots. International Conference on Informatics in Control, Automation and Robotics, 3, 41–48.</div>

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  65. Mohammad, Y., & Nishida, T. (2008). Towards Natural Listening on a Humanoid Robot. International Conference on Informatics Education and Research for Knowledge-Circulating Society (Icks 2008), 153–156.</div>

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  66. Mohammad, Y., & Nishida, T. (2008). Getting feedback from a miniature robot. 2008 International Conference on Information and Automation, 941–947.</div>

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  67. Mohammad, Y., & Nishida, T. (2008). Reactive gaze control for natural human-robot interactions. 2008 IEEE Conference on Robotics, Automation and Mechatronics, 47–54.</div>

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  68. Mohammad, Y., & Nishida, T. (2008). Toward agents that can learn nonverbal interactive behavior. IAPR Workshop on Cognitive Information Processing, 164–169.</div>

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  69. Mohammad, Y. F. O., & Nishida, T. (2008). A cross-platform robotic architecture for autonomous interactive robots. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 108–118.</div>

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  70. Mohammad, Y., & Nishida, T. (2008). Constrained motif discovery. 人工知能学会第二種研究会資料, 2008(DMSM-A802), 06.</div>

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  71. Mohammad, Y., Xu, Y., Matsumura, K., & Nishida, T. (2008). The H 3 R Explanation Corpus human-human and base human-robot interaction dataset. 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 201–206.</div>

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  72. Mohammad, Y., & Nishida, T. (2008). Human adaptation to a miniature robot: Precursors of mutual adaptation. RO-MAN 2008-The 17th IEEE International Symposium on Robot And Human Interactive Communication, 124–129.</div>

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  73. Mohammad, Y. (2008). Toward Learning Interactive Behavior. ICRA NEWHRI Workshop.</div>

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  74. Mohammad, Y. F. O., & Nishida, T. (2007). Eica: Combining interactivity with autonomy for social robots. International Workshop of Social Intelligence Design, 2007, 227–236.</div>

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  75. Mohammad, Y. F. O., & Nishida, T. (2007). Talkback: Feedback from a miniature robot. Australasian Joint Conference on Artificial Intelligence, 357–366.</div>

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  76. Mohammad, Y., Ohya, T., Hiramatsu, T., Sumi, Y., & Nishida, T. (2007). Embodiment of knowledge into the interaction and physical domains using robots. 2007 International Conference on Control, Automation and Systems, 737–744.</div>

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  77. Mohammad, Y. F. O., & Nishida, T. (2007). Naturaldraw: interactive perception based drawing for everyone. Proceedings of the 12th International Conference on Intelligent User Interfaces, 251–260.</div>

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  78. Mohammad, Y. F. O., & Nishida, T. (2007). Intention through interaction: toward mutual intention in real world interactions. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 115–125.</div>

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  79. Mohammad, Y. F. O., & Nishida, T. (2007). Intention Through Interaction: Toward Mutual Intentionn Real World Interactions. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 4570, 115–125.</div>

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  80. Mohammad, Y. F. O., & Nishida, T. (2007). A new, HRI inspired, view of intention. AAAI-07 Workshop on Human Implications of Human-Robot Interactions, 21–27.</div>

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  81. Nishida, T. (2007). NaturalDraw: Interactive Perception Based Drawing for Everyone. IUI… Conference Proceedings, 251.</div>

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  82. Mohammad, Y. F. O., & Nishida, T. (2007). Eica: Embodied interactive control architecture. Twentieth Australian Joint Conference on Artificial Intelligence, 357–366.</div>

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