| A practical guide to multi-objective reinforcement learning and planning CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ... Autonomous Agents and Multi-Agent Systems 36 (1), 26, 2022 | 306 | 2022 |
| Toward energy-efficient trust system through watchdog optimization for WSNs P Zhou, S Jiang, A Irissappane, J Zhang, J Zhou, JCM Teo IEEE Transactions on Information Forensics and Security 10 (3), 613-625, 2015 | 98 | 2015 |
| GANs for semi-supervised opinion spam detection G Stanton, AA Irissappane arXiv preprint arXiv:1903.08289, 2019 | 59 | 2019 |
| Faasrank: Learning to schedule functions in serverless platforms H Yu, AA Irissappane, H Wang, WJ Lloyd 2021 IEEE International Conference on Autonomic Computing and Self …, 2021 | 46 | 2021 |
| Deep reinforcement learning framework for category-based item recommendation M Fu, A Agrawal, AA Irissappane, J Zhang, L Huang, H Qu IEEE Transactions on Cybernetics 52 (11), 12028-12041, 2021 | 38 | 2021 |
| Towards a Comprehensive Testbed to Evaluate the Robustness of Reputation Systems against Unfair Rating Attacks AA Irissappane, S Jiang, J Zhang Workshop and Poster Proceedings of the 20th Conference on User Modeling …, 2012 | 31 | 2012 |
| Using Information Theory to Improve the Robustness of Trust Systems. D Wang, T Muller, AA Irissappane, J Zhang, Y Liu AAMAS, 791-799, 2015 | 28 | 2015 |
| A POMDP Based Approach to Optimally Select Sellers in Electronic Marketplaces AA Irissappane, FA Oliehoek, J Zhang 13th International Conference on Autonomous Agents and Multiagent Systems …, 2014 | 26 | 2014 |
| A Framework to Choose Trust Models for Different E-Marketplace Environments AA Irissappane, S Jiang, J Zhang 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013 …, 2013 | 20 | 2013 |
| A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces AA Irissappane, S Jiang, J Zhang Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 19 | 2014 |
| Leveraging GPT-2 for classifying spam reviews with limited labeled data via adversarial training AA Irissappane, H Yu, Y Shen, A Agrawal, G Stanton arXiv preprint arXiv:2012.13400, 2020 | 17 | 2020 |
| DCRAC: Deep conditioned recurrent actor-critic for multi-objective partially observable environments X Nian, AA Irissappane, D Roijers Proceedings of the 19th international conference on autonomous agents and …, 2020 | 15 | 2020 |
| Secure Routing in Wireless Sensor Networks via POMDPs. AA Irissappane, J Zhang, FA Oliehoek, PS Dutta IJCAI, 2617-2623, 2015 | 14 | 2015 |
| Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach A Aravazhi Irissappane, J Zhang Autonomous Agents and Multi-Agent Systems 31, 36-65, 2017 | 12 | 2017 |
| A deep reinforcement learning recommender system with multiple policies for recommendations M Fu, L Huang, A Rao, AA Irissappane, J Zhang, H Qu IEEE Transactions on Industrial Informatics 19 (2), 2049-2061, 2022 | 9 | 2022 |
| A case-based reasoning framework to choose trust models for different E-marketplace environments AA Irissappane, J Zhang Journal of Artificial Intelligence Research 52, 477-505, 2015 | 8 | 2015 |
| A Testbed to Evaluate the Robustness of Reputation Systems in E-Marketplaces AA Irissappane, J Zhang 13th International Conference on Autonomous Agents and Multiagent Systems …, 2014 | 8 | 2014 |
| Atsis: Achieving the ad hoc teamwork by sub-task inference and selection S Chen, E Andrejczuk, AA Irissappane, J Zhang | 7 | 2019 |
| Pomdp-based decision making for fast event handling in vanets S Chen, A Irissappane, J Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 7 | 2018 |
| Automated data denoising for recommendation Y Ge, M Rahmani, A Irissappane, J Sepulveda, J Caverlee, F Wang arXiv preprint arXiv:2305.07070, 2023 | 6 | 2023 |
Jie ZhangProfessor of Computer Science, Nanyang Technological UniversityVerified email at ntu.edu.sg
