Rodrigo Alves

According to our database, Rodrigo Alves authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 2024

2023

Orthogonal Inductive Matrix Completion.

Antoine Ledent, Rodrigo Alves, Marius Kloft

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks.

Petr Kasalický, Antoine Ledent, Rodrigo Alves

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders.

Petr Kasalický, Rodrigo Alves, Pavel Kordík

Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings.

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Scalable Linear Shallow Autoencoder for Collaborative Filtering.

Vojtech Vancura, Rodrigo Alves, Petr Kasalický, Pavel Kordík

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Burst-induced Multi-Armed Bandit for Learning Recommendation.

Rodrigo Alves, Antoine Ledent, Marius Kloft

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Fine-grained Generalization Analysis of Inductive Matrix Completion.

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion.

Rodrigo Alves, Antoine Ledent, Renato Assunção, Marius Kloft

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

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

Yet Another Virtual Butler to Bridge the Gap Between Users and Ambient Assisted Living.

Marta Carvalho, Ricardo Domingues, Rodrigo Alves, António Pereira, Nuno Costa

Proceedings of the New Knowledge in Information Systems and Technologies, 2019

2018

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, Pedro Sousa, Pedro Gaspar

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

2016

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

2015

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