Analysis of Online User Behaviour for Art and Culture Events. - Behnam Rahdari; Tahereh Arabghalizi; Marco Brambilla 001 (CD-MAKE, 2017)

Analysis and Knowledge Extraction from Event-related Visual Content on Instagram. - Tahereh Arabghalizi; Behnam Rahdari; Marco Brambilla 001 (KDWeb, 2017)

Models and Practices in Urban Data Science at Scale. - Marco Balduini; Marco Brambilla 001; Emanuele Della Valle; Christian Marazzi; Tahereh Arabghalizi; Behnam Rahdari; Michele Vescovi (Big Data Res., 2019)

Multi-characteristic Subject Selection from Biased Datasets. - Tahereh Arabghalizi; Alexandros Labrinidis (CoRR, 2020)

Data-driven Bus Crowding Prediction Models Using Context-specific Features. - Tahereh Arabghalizi; Alexandros Labrinidis (Trans. Data Sci., 2020)

2SRS: A Two-Sided Recommender System to Connect Local Businesses to Bus Passengers. - Tahereh Arabghalizi; Alexandros Labrinidis (MDM, 2021)

Context-aware Multi-stakeholder Recommender Systems. - Tahereh Arabghalizi; Alexandros Labrinidis (FLAIRS, 2022)

A Ranked Bandit Approach for Multi-stakeholder Recommender Systems. - Tahereh Arabghalizi; Alexandros Labrinidis (MORS@RecSys, 2022)