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Rodrigo Alves

Orcid: 0000-0001-7458-5281

According to our database¹, Rodrigo Alves authored at least 38 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Learning Minimally Rigid Graphs with High Realization Counts.

[DOI]

Oleksandr Slyvka

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CoRR, May, 2026

Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations.

[DOI]

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Fabian Schlegel

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CoRR, April, 2026

Reflecting in the Reflection: Integrating a Socratic Questioning Framework into Automated AI-Based Question Generation.

[DOI]

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CoRR, January, 2026

From Knots to Knobs: Towards Steerable Collaborative Filtering Using Sparse Autoencoders.

[DOI]

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Vojtech Vancura

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CoRR, January, 2026

Efficient Learning of Sparse Representations from Interactions.

[DOI]

Vojtech Vancura

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Proceedings of the ACM Web Conference 2026, 2026

Leveraging Artist Catalogs for Cold-Start Music Recommendation.

[DOI]

Yan-Martin Tamm

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Vojtech Vancura

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Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Language Embeddings Meet Shallow Autoencoders.

[DOI]

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Vojtech Vancura

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Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

The Stars Align: Modeling User Rating Calibration with Sparse Semantic Review Features.

[DOI]

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Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025

Conv4Rec: A 1-by-1 Convolutional Autoencoder for User Profiling Through Joint Analysis of Implicit and Explicit Feedback.

[DOI]

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Petr Kasalický

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IEEE Trans. Neural Networks Learn. Syst., December, 2025

From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns.

[DOI]

Anastasiia Hrytsyna

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ACM Trans. Intell. Syst. Technol., December, 2025

Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks.

[DOI]

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Petr Kasalický

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CoRR, September, 2025

Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets.

[DOI]

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IEEE Trans. Neural Networks Learn. Syst., April, 2025

Multitask learning for cognitive sciences triplet analysis.

[DOI]

Tsimafei Stambrouski

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Expert Syst. Appl., 2025

Reasoning-Grounded Natural Language Explanations for Language Models.

[DOI]

Vojtech Cahlík

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Proceedings of the Explainable Artificial Intelligence, 2025

Recurrent Autoregressive Linear Model for Next-Basket Recommendation.

[DOI]

Tereza Zmeskalová

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Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Probabilistic Modeling, Learnability and Uncertainty Estimation for Interaction Prediction in Movie Rating Datasets.

[DOI]

Jennifer Poernomo

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Nicole Gabrielle Lee Tan

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Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems.

[DOI]

Petr Kasalický

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Vojtech Vancura

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Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Generalization Bounds for Rank-sparse Neural Networks.

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Segment-Aware Analytics for Real-Time Editorial Support in Media Groups.

[DOI]

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Thomas Kelleher

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Ergys Kosovrasti

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Vojtech Vancura

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Petr Kasalický

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Proceedings of the 13th International Workshop on News Recommendation and Analytics co-located with the 2025 ACM Conference on Recommender Systems (RecSys 2025), 2025

Active Recommendation for Email Outreach Dynamics.

[DOI]

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Uncertainty-Adjusted Recommendation via Matrix Factorization With Weighted Losses.

[DOI]

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IEEE Trans. Neural Networks Learn. Syst., November, 2024

Regionalization-Based Collaborative Filtering: Harnessing Geographical Information in Recommenders.

[DOI]

ACM Trans. Spatial Algorithms Syst., June, 2024

Recommendations with minimum exposure guarantees: A post-processing framework.

[DOI]

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Rodrygo L. T. Santos

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Expert Syst. Appl., February, 2024

Unraveling the Dynamics of Stable and Curious Audiences in Web Systems.

[DOI]

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Renato Assunção

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Pedro O. S. Vaz de Melo

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Proceedings of the ACM on Web Conference 2024, 2024

Generalization Analysis of Deep Non-linear Matrix Completion.

[DOI]

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Orthogonal Inductive Matrix Completion.

[DOI]

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

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks.

[DOI]

Petr Kasalický

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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.

[DOI]

Petr Kasalický

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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.

[DOI]

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

2022

Scalable Linear Shallow Autoencoder for Collaborative Filtering.

[DOI]

Vojtech Vancura

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Petr Kasalický

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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.

[DOI]

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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.

[DOI]

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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.

[DOI]

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Renato Assunção

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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.

[DOI]

Rafaela Covello de Freitas

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Abel G. da Silva Filho

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Ricardo Emmanuel de Souza

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Byron L. D. Bezerra

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Wellington P. dos Santos

Comput. Electr. Eng., 2019

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

[DOI]

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Ricardo Domingues

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António Pereira

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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.

[DOI]

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Catarina I. Reis

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Ricardo Martinho

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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.

[DOI]

Rodrigo A. S. Alves

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Renato M. Assunção

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Pedro O. S. Vaz de Melo

CoRR, 2016

2015

Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times.

[DOI]

Pedro O. S. Vaz de Melo

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Christos Faloutsos

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Renato M. Assunção

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Antonio A. F. Loureiro

ACM Trans. Knowl. Discov. Data, 2015

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