Francesco Alesiani
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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
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
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
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
Reinforcement learning-based bus holding for high-frequency services
F Alesiani, K Gkiotsalitis
2018 21st International Conference on Intelligent Transportation Systems …, 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
Constrained clustering for the capacitated vehicle routing problem (cc-cvrp)
F Alesiani, G Ermis, K Gkiotsalitis
Applied artificial intelligence 36 (1), 1995658, 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
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
Method for motion planning for autonomous moving objects
F Alesiani, C Wuthishuwong
US Patent 10,802,494, 2020
Drift3flow: Freeway-incident prediction using real-time learning
L Moreira-Matias, F Alesiani
2015 IEEE 18th international conference on intelligent transportation …, 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
Measuring the discrepancy between conditional distributions: Methods, properties and applications
S Yu, A Shaker, F Alesiani, JC Principe
arXiv preprint arXiv:2005.02196, 2020
Method for predicting a motion of an object
C Wuthishuwong, F Alesiani
US Patent 11,300,663, 2022
System and method for real-time large image homography processing
F Alesiani, A Singh
US Patent 10,497,145, 2019
Gated information bottleneck for generalization in sequential environments
F Alesiani, S Yu, X Yu
Knowledge and Information Systems 65 (2), 683-705, 2023
Principle of relevant information for graph sparsification
S Yu, F Alesiani, W Yin, R Jenssen, JC Principe
Uncertainty in Artificial Intelligence, 2331-2341, 2022
Bilevel Continual Learning
A Shaker, F Alesiani, S Yu, W Yin
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
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
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
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