Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times. - Pedro O. S. Vaz de Melo; Christos Faloutsos; Renato M. Assunção; Rodrigo Alves; Antonio A. F. Loureiro (ACM Trans. Knowl. Discov. Data, 2015)

Burstiness Scale: a highly parsimonious model for characterizing random series of events. - Rodrigo A. S. Alves; Renato M. Assunção; Pedro O. S. Vaz de Melo (CoRR, 2016)

Teenpower: an integrated architecture for an mHealth platform designed for e-Empowering teenagers to prevent obesity : A showcase of the TeenPower platform. - Marta Carvalho; Rodrigo Alves; Catarina I. Reis; Ricardo Martinho 001; Pedro Sousa 003; Pedro Gaspar (HealthCom, 2018)

Yet Another Virtual Butler to Bridge the Gap Between Users and Ambient Assisted Living. - Marta Carvalho; Ricardo Domingues; Rodrigo Alves; António Pereira 001; Nuno Costa 001 (WorldCIST (2), 2019)

Electromyography-controlled car: A proof of concept based on surface electromyography, Extreme Learning Machines and low-cost open hardware. - Rafaela Covello de Freitas; Rodrigo Alves; Abel G. da Silva Filho; Ricardo Emmanuel de Souza; Byron L. D. Bezerra; Wellington P. dos Santos (Comput. Electr. Eng., 2019)

An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion. - Rodrigo Alves; Antoine Ledent; Renato Assunção; Marius Kloft (Preregister@NeurIPS, 2020)

Fine-grained Generalization Analysis of Inductive Matrix Completion. - Antoine Ledent; Rodrigo Alves; Yunwen Lei; Marius Kloft (NeurIPS, 2021)

Burst-induced Multi-Armed Bandit for Learning Recommendation. - Rodrigo Alves; Antoine Ledent; Marius Kloft (RecSys, 2021)

Scalable Linear Shallow Autoencoder for Collaborative Filtering. - Vojtech Vancura; Rodrigo Alves; Petr Kasalický; Pavel Kordík (RecSys, 2022)

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. - Antoine Ledent; Rodrigo Alves; Yunwen Lei; Yann Guermeur; Marius Kloft (AAAI, 2023)

Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders. - Petr Kasalický; Rodrigo Alves; Pavel Kordík (EvalRS@KDD, 2023)

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks. - Petr Kasalický; Antoine Ledent; Rodrigo Alves (RecSys, 2023)

Orthogonal Inductive Matrix Completion. - Antoine Ledent; Rodrigo Alves; Marius Kloft (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generalization Analysis of Deep Non-linear Matrix Completion. - Antoine Ledent; Rodrigo Alves (ICML, 2024)

Unraveling the Dynamics of Stable and Curious Audiences in Web Systems. - Rodrigo Alves; Antoine Ledent; Renato Assunção; Pedro O. S. Vaz de Melo; Marius Kloft (WWW, 2024)

Recommendations with minimum exposure guarantees: A post-processing framework. - Ramon Lopes; Rodrigo Alves; Antoine Ledent; Rodrygo L. T. Santos; Marius Kloft (Expert Syst. Appl., 2024)

Regionalization-Based Collaborative Filtering: Harnessing Geographical Information in Recommenders. - Rodrigo Alves (ACM Trans. Spatial Algorithms Syst., 2024)

Uncertainty-Adjusted Recommendation via Matrix Factorization With Weighted Losses. - Rodrigo Alves; Antoine Ledent; Marius Kloft (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multitask learning for cognitive sciences triplet analysis. - Tsimafei Stambrouski; Rodrigo Alves (Expert Syst. Appl., 2025)

Reasoning-Grounded Natural Language Explanations for Language Models. - Vojtech Cahlík; Rodrigo Alves; Pavel Kordík (CoRR, 2025)

Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets. - Rodrigo Alves; Antoine Ledent (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. - Petr Kasalický; Martin Spisák; Vojtech Vancura; Daniel Bohunek; Rodrigo Alves; Pavel Kordík (CoRR, 2025)