Gama, João

A survey on concept drift adaptation

Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys

Data Stream Mining TechniquesDomain Adaptation and Few-Shot Learning

Cited by 3,735

Ensemble learning for data stream analysis: A survey

Krawczyk, B., Minku, L. L., Gama, J., Stefanowski, J., & Woźniak, M. (2017) · Information Fusion

Data Stream Mining TechniquesMachine Learning and ELM

Cited by 1,050

Artificial intelligence, cyber-threats and industry 4.0: challenges and opportunities

Bécue, A., Praça, I., & Gama, J. (2021) · Artificial Intelligence Review

Network Security and Intrusion DetectionImpact of AI and Big Data on Business and Society

Cited by 368

How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations

Jesus, S., Belém, C., Balayan, V., Bento, J., Saleiro, P., Bizarro, P., & Gama, J. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 112