Check my full CV for more information.
Douzas, G., Bacao, F., Fonseca, J., & Khudinyan, M. (2019). Imbalanced Learning in Land Cover Classification: Improving Minority Classes’ Prediction Accuracy Using the Geometric SMOTE Algorithm. Remote Sensing, 11(24), 3040.
Crayton A, Fonseca J, Mehra K, Ng M, Ross J, Sandoval-Castañeda M, von Gnecht R. (2021). Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse, in IJCAI 2021 Workshop on AI for Social Good.
Fonseca, J., Douzas, G., Bacao, F. (2021). Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures. Information, 12(7), 266.
Fonseca, J., Douzas, G., Bacao, F. (2021). Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification. Remote Sensing, 13(13), 2619.
Fonseca, J., & Bacao, F. (2022). Research Trends and Applications of Data Augmentation Algorithms. arXiv preprint arXiv:2207.08817.
Fonseca, J., & Bacao, F. (2023). Improving Active Learning Performance through the Use of Data Augmentation. International Journal of Intelligent Systems, 2023.
Fonseca, J., & Bacao, F. (2023). Geometric SMOTE for imbalanced datasets with nominal and continuous features. Expert Systems with Applications, 234, 121053.
Fonseca, J., & Bacao, F. (2023). Tabular and latent space synthetic data generation: a literature review. Journal of Big Data, 10(1), 115.
Fonseca, J., Bell, A., Abrate, C., Bonchi, F., & Stoyanovich, J. (2023). Setting the Right Expectations: Algorithmic Recourse Over Time. In Equity and Access in Algorithms, Mechanisms, and Optimization (pp. 1-11).
Talk at NOVA School of Business and Economics, Carcavelos, Portugal
Debate Panel at Universidade NOVA de Lisboa, Lisbon, Portugal
Talk at Online Event, no physical location
Talk at Online Event, no physical location
Paper presentation at Online Event, no physical location