| Pdebench: An extensive benchmark for scientific machine learning M Takamoto, T Praditia, R Leiteritz, D MacKinlay, F Alesiani, D Pflüger, ... Advances in Neural Information Processing Systems 35, 1596-1611, 2022 | 121 | 2022 |
| Robust timetable optimization for bus lines subject to resource and regulatory constraints K Gkiotsalitis, F Alesiani Transportation Research Part E: Logistics and Transportation Review 128, 30-51, 2019 | 66 | 2019 |
| Optimization of charging stops for fleet of electric vehicles: A genetic approach F Alesiani, N Maslekar IEEE Intelligent transportation systems magazine 6 (3), 10-21, 2014 | 55 | 2014 |
| Method and system for determining a path of an object for moving from a starting state to an end state set avoiding one or more obstacles F Alesiani US Patent 10,365,110, 2019 | 52 | 2019 |
| Reinforcement learning-based bus holding for high-frequency services F Alesiani, K Gkiotsalitis 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 35 | 2018 |
| Method and system for providing demand-responsive dispatching of a fleet of transportation vehicles, and a mobility-activity processing module for providing a mobility trace … K Gkiotsalitis, F Alesiani, N Maslekar US Patent 9,953,539, 2018 | 32 | 2018 |
| Constrained clustering for the capacitated vehicle routing problem (cc-cvrp) F Alesiani, G Ermis, K Gkiotsalitis Applied artificial intelligence 36 (1), 1995658, 2022 | 28 | 2022 |
| Measuring dependence with matrix-based entropy functional S Yu, F Alesiani, X Yu, R Jenssen, J Principe Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10781 …, 2021 | 26 | 2021 |
| A probabilistic activity model for predicting the mobility patterns of homogeneous social groups based on social network data F Alesiani, K Gkiotsalitis, R Baldessari Proc. 93rd Annu. Meeting Transp. Res. Board, 2014 | 20 | 2014 |
| Method for motion planning for autonomous moving objects F Alesiani, C Wuthishuwong US Patent 10,802,494, 2020 | 18 | 2020 |
| Drift3flow: Freeway-incident prediction using real-time learning L Moreira-Matias, F Alesiani 2015 IEEE 18th international conference on intelligent transportation …, 2015 | 18 | 2015 |
| Efficient and scalable multi-task regression on massive number of tasks X He, F Alesiani, A Shaker Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3763-3770, 2019 | 16 | 2019 |
| Measuring the discrepancy between conditional distributions: Methods, properties and applications S Yu, A Shaker, F Alesiani, JC Principe arXiv preprint arXiv:2005.02196, 2020 | 15 | 2020 |
| Method for predicting a motion of an object C Wuthishuwong, F Alesiani US Patent 11,300,663, 2022 | 12 | 2022 |
| System and method for real-time large image homography processing F Alesiani, A Singh US Patent 10,497,145, 2019 | 12 | 2019 |
| Principle of relevant information for graph sparsification S Yu, F Alesiani, W Yin, R Jenssen, JC Principe Uncertainty in Artificial Intelligence, 2331-2341, 2022 | 11 | 2022 |
| On learning from inaccurate and incomplete traffic flow data F Alesiani, L Moreira-Matias, M Faizrahnemoon IEEE Transactions on Intelligent Transportation Systems 19 (11), 3698-3708, 2018 | 9 | 2018 |
| Educated rules for the prediction of human mobility patterns based on sparse social media and mobile phone data K Gkiotsalitis, F Alesiani, R Baldessari Transportation Research Board 93rd Annual Meeting, 2014 | 9 | 2014 |
| Gated information bottleneck for generalization in sequential environments F Alesiani, S Yu, X Yu Knowledge and Information Systems 65 (2), 683-705, 2023 | 8 | 2023 |
| Method for the continuous processing of two-level data on a system with a plurality of nodes F Alesiani, N Maslekar US Patent 9,959,290, 2018 | 7 | 2018 |
Konstantinos GkiotsalitisAssistant Professor, National Technical University of Athens在 civil.ntua.gr 的电子邮件经过验证
