João Gama

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 209

Top Venues

CoRR

SAC

EPIA

Publications

Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
SWINN: Efficient nearest neighbor search in sliding windows using graphs. Inf. Fusion 101 (2024)
Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning. CoRR (2024)
Inês Martins, João S. Resende, João Gama
Online Influence Forest for Streaming Anomaly Detection. IDA (2023)
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
XAI for Predictive Maintenance. KDD (2023)
Joel D. Costa, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
Novelty detection for multi-label stream classification under extreme verification latency. Appl. Soft Comput. 141 (2023)
Rafael Mamede, Nuno Paiva, João Gama
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. DS (2023)
Arijit Ukil, João Gama, Antonio J. Jara, Leandro Marín
Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond. CIKM (2023)
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR (2023)
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
Data-driven predictive maintenance framework for railway systems. Intell. Data Anal. 27 (4) (2023)
Sofia Fernandes, Hadi Fanaee-T, João Gama, Leo Tisljaric, Tomislav Smuc
WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks. Mach. Learn. 112 (2) (2023)
Paula Raissa Silva, João Vinagre, João Gama
Towards federated learning: An overview of methods and applications. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
César Andrade, Rita P. Ribeiro, João Gama
Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions. EPIA (1) (2023)
Thiago Andrade, Nirbhaya Shaji, Rita P. Ribeiro, João Gama
Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis. EPIA (1) (2023)
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama
Explainable Predictive Maintenance. CoRR (2023)
Paula Raissa Silva, João Vinagre, João Gama
A DTW Approach for Complex Data A Case Study with Network Data Streams. SAC (2023)
Thiago Andrade, João Gama
Which Way to Go - Finding Frequent Trajectories Through Clustering. DS (2023)
Shazia Tabassum, João Gama, Paulo J. Azevedo, Mário Cordeiro, Carlos Martins, Andre Martins
Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs. Expert Syst. J. Knowl. Eng. 40 (5) (2023)
Miguel E. P. Silva, Bruno Veloso, João Gama
Predictive Maintenance, Adversarial Autoencoders and Explainability. ECML/PKDD (7) (2023)
Thiago Andrade, João Gama
Estimating Instantaneous Vehicle Emissions. SAC (2023)
Jie Lu, João Gama, Xin Yao, Leandro L. Minku
Guest Editorial: Special Issue on Stream Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis. EPIA (2022)
Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama
Methods and tools for causal discovery and causal inference. WIREs Data Mining Knowl. Discov. 12 (2) (2022)
Sérgio M. Jesus, José Pombal, Duarte Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation. CoRR (2022)
Inês Martins, João S. Resende, Patrícia R. Sousa, Simão Silva, Luis Antunes, João Gama
Host-based IDS: A review and open issues of an anomaly detection system in IoT. Future Gener. Comput. Syst. 133 (2022)
Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. IDA (2022)
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
Online Anomaly Explanation: A Case Study on Predictive Maintenance. PKDD/ECML Workshops (2) (2022)
Ricardo Cerri, Elaine R. Faria, João Gama
An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. ICMLA (2022)
Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira
A Benchmark dataset for predictive maintenance. CoRR (2022)
Paula Raissa Silva, João Viangre, João Gama
Federated Anomaly Detection over Distributed Data Streams. CoRR (2022)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set. PKDD/ECML Workshops (2) (2022)
João Gama, Rita P. Ribeiro, Bruno Veloso
Data-Driven Predictive Maintenance. IEEE Intell. Syst. 37 (4) (2022)
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance. ICEGOV (2022)
Rodrigo Salles, Jérôme Mendes, Rita P. Ribeiro, João Gama
Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data. PKDD/ECML Workshops (1) (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. 24 (2) (2022)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
Semi-causal decision trees. Prog. Artif. Intell. 11 (1) (2022)
Sérgio M. Jesus, José Pombal, Duarte Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation. NeurIPS (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
Open challenges for Machine Learning based Early Decision-Making research. CoRR (2022)
Sónia Teixeira, Bruno Veloso, José Coelho Rodrigues, João Gama
Ethical and Technological AI Risks Classification: A Human Vs Machine Approach. PKDD/ECML Workshops (1) (2022)
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design. ERCIM News 2022 (131) (2022)
Thiago Andrade, João Gama
How are you Riding? Transportation Mode Identification from Raw GPS Data. EPIA (2022)
Nirbhaya Shaji, Thiago Andrade, Rita P. Ribeiro, João Gama
Study on Correlation Between Vehicle Emissions and Air Quality in Porto. PKDD/ECML Workshops (1) (2022)
Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama
An Online Data-Driven Predictive Maintenance Approach for Railway Switches. PKDD/ECML Workshops (2) (2022)
Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil
Contextualization for the Organization of Text Documents Streams. CoRR (2022)
Nirbhaya Shaji, João Gama, Rita P. Ribeiro, Pedro Gomes
Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph. IDA (2022)
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
A Survey on Data-Driven Predictive Maintenance for the Railway Industry. Sensors 21 (17) (2021)
Jean-Gabriel Gaudreault, Paula Branco, João Gama
An Analysis of Performance Metrics for Imbalanced Classification. DS (2021)
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
Hyperparameter self-tuning for data streams. Inf. Fusion 76 (2021)
Douglas Castilho, Tharsis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
Forecasting Financial Market Structure from Network Features using Machine Learning. CoRR (2021)
Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu
Data stream analysis: Foundations, major tasks and tools. WIREs Data Mining Knowl. Discov. 11 (3) (2021)
Shazia Tabassum, João Gama, Paulo Azevedo, Luis Teixeira, Carlos Martins, Andre Martins
Dynamic Topic Modeling Using Social Network Analytics. EPIA (2021)
Sofia Fernandes, Hadi Fanaee-T, João Gama
Tensor decomposition for analysing time-evolving social networks: an overview. Artif. Intell. Rev. 54 (4) (2021)
Patrício Costa, Ana Rita Nogueira, João Gama
Modelling Voting Behaviour During a General Election Campaign Using Dynamic Bayesian Networks. EPIA (2021)
Ehsan Aminian, Rita P. Ribeiro, João Gama
Chebyshev approaches for imbalanced data streams regression models. Data Min. Knowl. Discov. 35 (6) (2021)
Ricardo Cerri, Joel David Costa Jínior, Elaine R. Faria, João Gama
A new self-organizing map based algorithm for multi-label stream classification. SAC (2021)
Sérgio M. Jesus, Catarina Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations. CoRR (2021)
João Vinagre, Alípio Mário Jorge, Conceição Rocha, João Gama
Statistically Robust Evaluation of Stream-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro
Current Trends in Learning from Data Streams. BDA (2021)
Adrien Bécue, Isabel Praça, João Gama
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities. Artif. Intell. Rev. 54 (5) (2021)
Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama, Alberto Pinto
Generalised Partial Association in Causal Rules Discovery. EPIA (2021)
Rui Portocarrero Sarmento, Douglas de O. Cardoso, Kemmily Dearo, Pavel Brazdil, João Gama
Text documents streams with improved incremental similarity. Soc. Netw. Anal. Min. 11 (1) (2021)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. DSAA (2021)
Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) (2021)
Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama
Multi-aspect renewable energy forecasting. Inf. Sci. 546 (2021)
Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama
Improving Smart Waste Collection Using AutoML. PKDD/ECML Workshops (2) (2021)
Paulo Paraíso, Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama
Using network features for credit scoring in microfinance. Int. J. Data Sci. Anal. 12 (2) (2021)
Sérgio M. Jesus, Catarina Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama
How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations. FAccT (2021)
Bruno Veloso, João Gama
Self Hyper-parameter Tuning for Stream Classification Algorithms. IoT Streams/ITEM@PKDD/ECML (2020)
Albert Bifet, João Gama
IoT data stream analytics. Ann. des Télécommunications 75 (9-10) (2020)
Shazia Tabassum, Muhammad Ajmal Azad, João Gama
Profiling high leverage points for detecting anomalous users in telecom data networks. Ann. des Télécommunications 75 (9-10) (2020)
Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
Failure Detection of an Air Production Unit in Operational Context. IoT Streams/ITEM@PKDD/ECML (2020)
Shazia Tabassum, Bruno Veloso, João Gama
On fast and scalable recurring link's prediction in evolving multi-graph streams. Netw. Sci. 8 (S1) (2020)
Amal Saadallah, Luís Moreira-Matias, Ricardo Sousa, Jihed Khiari, Erik Jenelius, João Gama
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Trans. Knowl. Data Eng. 32 (2) (2020)
Felipe Azevedo Pinage, Eulanda Miranda dos Santos, João Gama
A drift detection method based on dynamic classifier selection. Data Min. Knowl. Discov. 34 (1) (2020)
Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama
Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional Features. DS (2020)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
A scalable saliency-based feature selection method with instance-level information. Knowl. Based Syst. 192 (2020)
Bruno Veloso, Shazia Tabassum, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
Interconnect bypass fraud detection: a case study. Ann. des Télécommunications 75 (9-10) (2020)
Paulo Paraíso, Pedro Gomes, Saulo Ruiz, Luís Rodrigues, João Gama
Using Network Features for Credit Scoring in MicroFinance: Extended Abstract. DSAA (2020)
Sónia Teixeira, João Gama, Pedro Amorim, Gonçalo Figueira
Trustability in Algorithmic Systems Based on Artificial Intelligence in the Public and Private Sectors. ERCIM News 2020 (122) (2020)
Teru Fujii, Masahito Kumano, João Gama, Masahiro Kimura
Detecting Geographical Competitive Structure for POI Visit Dynamics. COMPLEX NETWORKS (2) (2020)
Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData (2020)
Thiago Andrade, Brais Cancela, João Gama
Discovering locations and habits from human mobility data. Ann. des Télécommunications 75 (9-10) (2020)
Leo Tisljaric, Sofia Fernandes, Tonci Caric, João Gama
Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method. DS (2020)
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
Learning under Concept Drift: A Review. CoRR (2020)
Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira
Improving Prediction with Causal Probabilistic Variables. IDA (2020)
Sofia Fernandes, Hadi Fanaee-T, João Gama
NORMO: A new method for estimating the number of components in CP tensor decomposition. Eng. Appl. Artif. Intell. 96 (2020)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, João Gama
Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform. PAAMS (2020)
Thiago Andrade, Brais Cancela, João Gama
From mobility data to habits and common pathways. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
Fraud detection using heavy hitters: a case study. SAC (2020)
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
Detecting Bursts of Activity in Telecommunications. BigMine@KDD (2019)
Sofia Fernandes, Hadi Fanaee-T, João Gama
Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification. DS (2019)
Jakub Zgraja, Richard Hugh Moulton, João Gama, Andrzej Kasprzak, Michal Wozniak
Adapting ClusTree for more challenging data stream environments. J. Intell. Fuzzy Syst. 37 (6) (2019)
Ehsan Aminian, Rita P. Ribeiro, João Gama
A Study on Imbalanced Data Streams. PKDD/ECML Workshops (2) (2019)
Fabíola Souza Fernandes Pereira, Claudio D. G. Linhares, Jean R. Ponciano, João Gama, Sandra de Amo, Gina M. B. Oliveira
Uma Análise sobre a Evolução das Preferências Musicais dos Usuários Utilizando Redes de Similaridade Temporal. Braz. J. Inf. Syst. 12 (3) (2019)
Carlos Abreu Ferreira, João Gama, Vítor Santos Costa
Contrasting logical sequences in multi-relational learning. Prog. Artif. Intell. 8 (4) (2019)
Eduarda Portela, Rita P. Ribeiro, João Gama
The search of conditional outliers. Intell. Data Anal. 23 (1) (2019)
Guilherme Londres, Nuno Filipe, João Gama
Optimizing Waste Collection: A Data Mining Approach. PKDD/ECML Workshops (1) (2019)
Thiago Andrade, Brais Cancela, João Gama
Mining Human Mobility Data to Discover Locations and Habits. PKDD/ECML Workshops (2) (2019)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
A scalable saliency-based Feature selection method with instance level information. CoRR (2019)
Amal Saadallah, Luís Moreira-Matias, Ricardo Sousa, Jihed Khiari, Erik Jenelius, João Gama
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). ICDE (2019)
Thiago Andrade, Brais Cancela, João Gama
Mining Human Mobility Data to Discover Locations and Habits. CoRR (2019)

João Gama.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

João Gama