| Models and practices in urban data science at scale M Balduini, M Brambilla, E Della Valle, C Marazzi, T Arabghalizi, ... Big Data Research 17, 66-84, 2019 | 30 | 2019 |
| Data-driven bus crowding prediction models using context-specific features T Arabghalizi, A Labrinidis ACM Transactions on Data Science 1 (3), 1-33, 2020 | 11 | 2020 |
| How full will my next bus be? A Framework to Predict Bus Crowding Levels T Arabghalizi, A Labrinidis Proceedings of the 8th International Workshop on Urban Computing. ACM, Anchorage, 2019 | 9 | 2019 |
| Analysis and knowledge extraction from event-related visual content on instagram T Arabghalizi, B Rahdari, M Brambilla CEUR Workshop Proceedings 1959, 16-27, 2017 | 8 | 2017 |
| Analysis of online user behaviour for art and culture events B Rahdari, T Arabghalizi, M Brambilla Machine Learning and Knowledge Extraction: First IFIP TC 5, WG 8.4, 8.9, 12 …, 2017 | 8 | 2017 |
| Context-aware Multi-stakeholder Recommender Systems T Arabghalizi, A Labrinidis The International FLAIRS Conference Proceedings 35, 2022 | 2 | 2022 |
| Event-based User Profiling in Social Media Using Data Mining Approaches T Arabghalizi, B Rahdari Politecnico di Milano, 2017 | 2 | 2017 |
| A Ranked Bandit Approach for Multi-stakeholder Recommender Systems T Arabghalizi, A Labrinidis Workshop of Multi-Objective Recommender Systems (MORS’22), 2022 | 1 | 2022 |
| A Hybrid Neural Network to Predict Short-term Passenger Flow at Bus Stops T Arabghalizi, X Jia | 1 | 2021 |
| Multi-characteristic Subject Selection from Biased Datasets T Arabghalizi, A Labrinidis arXiv preprint arXiv:2012.10311, 2020 | 1 | 2020 |
| DATA-DRIVEN PREDICTIVE MODELING AND MULTI STAKEHOLDER RECOMMENDER SYSTEMS FOR THE PUBLIC GOOD T Arabghalizi University of Pittsburgh, 2023 | | 2023 |
| 2SRS: A Two-Sided Recommender System to Connect Local Businesses to Bus Passengers T Arabghalizi, A Labrinidis 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 127-132, 2021 | | 2021 |
Behnam RahdariUniversity of PittsburghVerified email at pitt.edu
