João Vinagre - RankMe

60 papers A* 2A 8B 3Misc 4Journal 23Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Budget-constrained Collaborative Renewable Energy Forecasting Market. CoRR Carla Gonçalves, Ricardo J. Bessa, Tiago Teixeira, João Vinagre
2025	J	`jnl`	Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation. CoRR Maria Eriksson, Erasmo Purificato, Arman Noroozian, João Vinagre, Guillaume Chaslot, Emilia Gómez, David Fernández Llorca
2025	A	`conf`	Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act. RecSys João Vinagre, Lorenzo Porcaro, Silvia Merisio, Erasmo Purificato, Emilia Gómez
2025	—	`conf`	Data Access under the EU Digital Services Act and its Impact on User Modelling Research. UMAP (Adjunct Publication) Erasmo Purificato, Ludovico Boratto, João Vinagre
2025	B	`conf`	Fed-VFDT: Federated Very Fast Decision Trees with Coordinated Splitting Over Data Streams. ICTAI Paula Raissa Silva, João Vinagre, João Gama
2025	J	`jnl`	Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps. CoRR Arman Noroozian, Lorena Aldana, Marta Arisi, Hadi Asghari, Renata Avila, Pietro Giovanni Bizzaro, Ramya Chandrasekhar, Cristian Consonni, Deborah De Angelis, Francesca De Chiara, Maria del Rio-Chanona, Mélanie Dulong de Rosnay, Maria Eriksson, Frederic Font, Emilia Gómez, Valérian Guillier, Lisa Gutermuth, David Hartmann, Lucie-Aimée Kaffee, Paul Keller, Felix Stalder, João Vinagre, Denny Vrandecic, Amanda Wasielewski
2025	J	`jnl`	Measuring the stability and plasticity of recommender systems. CoRR Maria João Lavoura, Robert Jungnickel, João Vinagre
2024	A	`conf`	Federated Online Learning for Heavy Hitter Detection. ECAI Paula Raissa Silva, João Vinagre, João Gama
2024	A*	`conf`	Flow Correlation Attacks on Tor Onion Service Sessions with Sliding Subset Sum. NDSS Daniela Lopes, Jin-Dong Dong, Pedro Medeiros, Daniel Castro, Diogo Barradas, Bernardo Portela, João Vinagre, Bernardo Ferreira, Nicolas Christin, Nuno Santos
2024	J	`jnl`	Rethinking negative sampling in content-based news recommendation. CoRR Miguel Ângelo Rebelo, João Vinagre, Ivo Pereira, Álvaro Figueira
2023	Misc	`conf`	A DTW Approach for Complex Data A Case Study with Network Data Streams. SAC Paula Raissa Silva, João Vinagre, João Gama
2023	J	`jnl`	Behind Recommender Systems: the Geography of the ACM RecSys Community. CoRR Lorenzo Porcaro, João Vinagre, Pedro Frau, Isabelle Hupont, Emilia Gómez
2023	—	`conf`	Fairness and Diversity in Information Access Systems. EWAF Lorenzo Porcaro, Carlos Castillo, Emilia Gómez, João Vinagre
2023	J	`jnl`	Fairness and Diversity in Information Access Systems. CoRR Lorenzo Porcaro, Carlos Castillo, Emilia Gómez, João Vinagre
2023	—	`conf`	Hybrid SkipAwareRec: A Streaming Music Recommendation System. EPIA (1) Rui Ramos, Lino Oliveira, João Vinagre
2023	—	`conf`	Measuring Latency-Accuracy Trade-Offs in Convolutional Neural Networks. EPIA (1) André Tse, Lino Oliveira, João Vinagre
2023	—	`conf`	Mining Causal Links Between TV Sports Content and Real-World Data. EPIA (1) Duarte Melo, Jessica C. Delmoral, João Vinagre
2023	A	`conf`	ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. RecSys João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
2023	—	`ed.`	Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. ORSUM@RecSys João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
2023	J	`jnl`	Towards federated learning: An overview of methods and applications. WIREs Data. Mining. Knowl. Discov. Paula Raissa Silva, João Vinagre, João Gama
2022	J	`jnl`	Federated Anomaly Detection over Distributed Data Streams. CoRR Paula Raissa Silva, João Vinagre, João Gama
2022	—	`conf`	Flexible Fine-grained Data Access Management for Hyperledger Fabric. BCCA João Parente, Ana Nunes Alonso, Fábio Coelho, João Vinagre, Paulo Bastos
2022	A	`conf`	ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. RecSys João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
2022	A*	`conf`	Poster: User Sessions on Tor Onion Services: Can Colluding ISPs Deanonymize Them at Scale? CCS Daniela Lopes, Pedro Medeiros, Jin-Dong Dong, Diogo Barradas, Bernardo Portela, João Vinagre, Bernardo Ferreira, Nicolas Christin, Nuno Santos
2022	J	`jnl`	Preface to the special issue on dynamic recommender systems and user models. User Model. User Adapt. Interact. João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet, Paolo Cremonesi
2022	—	`conf`	Privacy-Preserving Machine Learning in Life Insurance Risk Prediction. PKDD/ECML Workshops (2) Klismam Pereira, João Vinagre, Ana Nunes Alonso, Fábio Coelho, Melânia Carvalho
2022	J	`jnl`	Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling - ORSUM 2021. CoRR João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2022	—	`ed.`	Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, ORSUM@RecSys 2022, Seattle, WA, USA, September 23rd, 2022. ORSUM@RecSys João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
2021	J	`jnl`	A Hybrid Recommender System for Improving Automatic Playlist Continuation. IEEE Trans. Knowl. Data Eng. Anna Gatzioura, João Vinagre, Alípio Mário Jorge, Miquel Sànchez-Marrè
2021	J	`jnl`	AutoFITS: Automatic Feature Engineering for Irregular Time Series. CoRR Pedro Costa, Vítor Cerqueira, João Vinagre
2021	J	`jnl`	Hyperparameter self-tuning for data streams. Inf. Fusion Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
2021	A	`conf`	ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. RecSys João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2021	B	`conf`	Partially Monotonic Learning for Neural Networks. IDA Joana Trindade, João Vinagre, Kelwin Fernandes, Nuno Paiva, Alípio Jorge
2021	J	`jnl`	Statistically Robust Evaluation of Stream-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. João Vinagre, Alípio Mário Jorge, Conceição Rocha, João Gama
2020	A	`conf`	ORSUM - Workshop on Online Recommender Systems and User Modeling. RecSys João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2020	—	`ed.`	Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020. ORSUM@RecSys João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2019	—	`ed.`	2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark ORSUM@RecSys João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein
2019	—	`conf`	Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors. ORSUM@RecSys Miguel Sozinho Ramalho, João Vinagre, Alípio Mário Jorge, Rafaela Bastos
2019	A	`conf`	ORSUM 2019 2nd workshop on online recommender systems and user modeling. RecSys João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein
2018	J	`jnl`	Forgetting techniques for stream-based matrix factorization in recommender systems. Knowl. Inf. Syst. Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama
2018	—	`conf`	Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback. WWW (Companion Volume) Susan C. Anyosa, João Vinagre, Alípio M. Jorge
2018	—	`conf`	ORSUM Chairs' Welcome & Organization. WWW (Companion Volume) Alípio Jorge, João Vinagre, Pawel Matuszyk, Myra Spiliopoulou
2018	B	`conf`	Online Gradient Boosting for Incremental Recommender Systems. DS João Vinagre, Alípio Mário Jorge, João Gama
2018	J	`jnl`	Online bagging for recommender systems. Expert Syst. J. Knowl. Eng. João Vinagre, Alípio Mário Jorge, João Gama
2018	—	`conf`	Self Hyper-parameter Tuning for Stream Recommendation Algorithms. DMLE/IOTSTREAMING@PKDD/ECML Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
2017	Misc	`conf`	Improving Incremental Recommenders with Online Bagging. EPIA João Vinagre, Alípio Mário Jorge, João Gama
2016	J	`jnl`	Data-Driven Relevance Judgments for Ranking Evaluation. CoRR Nuno Moniz, Luís Torgo, João Vinagre
2016	—	`conf`	Online Bagging for Recommendation with Incremental Matrix Factorization. STREAMEVOLV@ECML-PKDD João Vinagre, Alípio Mário Jorge, João Gama
2016	J	`jnl`	Online bagging for recommendation with incremental matrix factorization. CoRR João Vinagre, Alípio Mário Jorge, João Gama
2016	—	`conf`	Scalable Online Top-N Recommender Systems. EC-Web Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou
2016	—	`—`	Scalable adaptive collaborative filtering João Vinagre
2015	J	`jnl`	An overview on the exploitation of time in collaborative filtering. WIREs Data Mining Knowl. Discov. João Vinagre, Alípio Mário Jorge, João Gama
2015	Misc	`conf`	Collaborative filtering with recency-based negative feedback. SAC João Vinagre, Alípio Mário Jorge, João Gama
2015	J	`jnl`	Evaluation of recommender systems in streaming environments. CoRR João Vinagre, Alípio Mário Jorge, João Gama
2015	Misc	`conf`	Forgetting methods for incremental matrix factorization in recommender systems. SAC Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama
2014	A	`conf`	Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback. UMAP João Vinagre, Alípio Mário Jorge, João Gama
2014	—	`conf`	Monitoring Recommender Systems: A Business Intelligence Approach. ICCSA (6) Catarina Félix, Carlos Soares, Alípio Jorge, João Vinagre
2013	J	`jnl`	Combining usage and content in an online recommendation system for music in the Long Tail. Int. J. Multim. Inf. Retr. Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo
2012	—	`conf`	Combining usage and content in an online music recommendation system for music in the long-tail. WWW (Companion Volume) Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo
2012	J	`jnl`	Forgetting mechanisms for scalable collaborative filtering. J. Braz. Comput. Soc. João Vinagre, Alípio Mário Jorge