AI for explaining decisions in multi-agent environments S Kraus, A Azaria, J Fiosina, M Greve, N Hazon, L Kolbe, TB Lembcke, ... Proceedings of the AAAI conference on artificial intelligence 34 (09), 13534 …, 2020 | 60 | 2020 |
Big data processing and mining for next generation intelligent transportation systems J Fiosina, JÃ Maxims Fiosins Jurnal Teknologi 63 (3), 2013 | 46* | 2013 |
Agent-based integrated decision making for autonomous vehicles in urban traffic M Fiosins, J Fiosina, J Müller, J Görmer Advances on Practical Applications of Agents and Multiagent Systems 88, 173-178, 2011 | 41 | 2011 |
Explainable Federated Learning for Taxi Travel Time Prediction. J Fiosina VEHITS, 670-677, 2021 | 24 | 2021 |
Reconciling Strategic and Tactical Decision Making in Agent-Oriented Simulation of Vehicles in Urban Traffic M Fiosins, J Fiosina, JP Müller, J Görmer Proceedings of the 4th International ICST Conference on Simulation Tools and …, 2011 | 24 | 2011 |
Detection of anomalous vehicle trajectories using federated learning C Koetsier, J Fiosina, JN Gremmel, JP Müller, DM Woisetschläger, ... ISPRS Open Journal of Photogrammetry and Remote Sensing 4, 100013, 2022 | 22 | 2022 |
Statistical estimation for a failure model with damage accumulation in a case of small samples A Andronov, H Fioshina, M Fioshin Journal of Statistical Planning and Inference 139 (5), 1685-1692, 2009 | 17* | 2009 |
Explainable deep learning for augmentation of small RNA expression profiles J Fiosina, M Fiosins, S Bonn Journal of Computational Biology 27 (2), 234-247, 2020 | 16* | 2020 |
Interpretable privacy-preserving collaborative deep learning for taxi trip duration forecasting J Fiosina International Conference on Vehicle Technology and Intelligent Transport …, 2021 | 15 | 2021 |
Change point analysis for intelligent agents in city traffic M Fiosins, J Fiosina, JP Müller Agents and Data Mining Interaction: 7th International Workshop on Agents and …, 2012 | 14 | 2012 |
Polymer reaction engineering meets explainable machine learning J Fiosina, P Sievers, M Drache, S Beuermann Computers & Chemical Engineering 177, 108356, 2023 | 12 | 2023 |
Decentralised Regression Model for Intelligent Forecasting in Multi-agent Traffic Networks J Fiosina Distributed Computing and Artificial Intelligence 151, 255-263, 2012 | 12 | 2012 |
Cooperative regression-based forecasting in distributed traffic networks J Fiosina, M Fiosins Distributed Network Intelligence, Security and Applications 1, 337, 2013 | 11 | 2013 |
Decentralised cooperative agent-based clustering in intelligent traffic clouds J Fiosina, M Fiosins, JP Müller Multiagent System Technologies: 11th German Conference, MATES 2013, Koblenz …, 2013 | 9 | 2013 |
Mining the traffic cloud: Data analysis and optimization strategies for cloud-based cooperative mobility management J Fiosina, M Fiosins, JP Müller Management Intelligent Systems: Second International Symposium, 25-32, 2013 | 9 | 2013 |
Federated cooperative detection of anomalous vehicle trajectories at intersections C Koetsier, J Fiosina, JN Gremmel, M Sester, JP Müller, D Woisetschläger Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in …, 2021 | 8 | 2021 |
Density-based clustering in cloud-oriented collaborative multi-agent systems J Fiosina, M Fiosins Hybrid Artificial Intelligent Systems: 8th International Conference, HAIS …, 2013 | 8 | 2013 |
Cooperative kernel-based forecasting in decentralized multiagent systems for urban traffic networks J Fiosina, M Fiosins Ubiquitous Data Mining, 3-7, 2012 | 8 | 2012 |
Distributed nonparametric and semiparametric regression on SPARK for big data forecasting J Fiosina, M Fiosins Applied Computational Intelligence and Soft Computing 2017 (1), 5134962, 2017 | 6 | 2017 |
Resampling based modelling of individual routing preferences in a distributed traffic network J Fiosina, M Fiosins Int. J. Artif. Intell 12 (1), 79-103, 2014 | 6 | 2014 |