Rodrigo Alves

Orcid: 0000-0001-7458-5281

According to our database1, Rodrigo Alves authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Uncertainty-Adjusted Recommendation via Matrix Factorization With Weighted Losses.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Regionalization-Based Collaborative Filtering: Harnessing Geographical Information in Recommenders.
ACM Trans. Spatial Algorithms Syst., June, 2024

Recommendations with minimum exposure guarantees: A post-processing framework.
Expert Syst. Appl., February, 2024

Unraveling the Dynamics of Stable and Curious Audiences in Web Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Generalization Analysis of Deep Non-linear Matrix Completion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Orthogonal Inductive Matrix Completion.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Scalable Linear Shallow Autoencoder for Collaborative Filtering.
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.
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.
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.
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.
Comput. Electr. Eng., 2019

Yet Another Virtual Butler to Bridge the Gap Between Users and Ambient Assisted Living.
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.
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.
CoRR, 2016

2015
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times.
ACM Trans. Knowl. Discov. Data, 2015


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