Study of Clinical Workflow and Information Flow of a Breast Care Unit. - Vítor Silva; Maria João Cardoso; João Fonseca; Ricardo João Cruz Correia (HEALTHINF, 2010)

A New Living Lab for Usability Evaluation of ICT and Next Generation Networks for Elderly@Home. - António J. S. Teixeira; Nelson Pacheco da Rocha; Miguel Sales Dias; Daniela Braga; Alexandra Queirós; Osvaldo Pacheco; José Alberto Fonseca; Joaquim Sousa Pinto; Hugo Gamboa; Luís Corte-Real; João Fonseca; Joaquim Arnaldo Martins; et al. (AAL, 2011)

Lung Function Classification of Smartphone Recordings - Comparison of Signal Processing and Machine Learning Combination Sets. - João F. Teixeira; Luís F. Teixeira 001; João Fonseca; Tiago António Queirós Jacinto (HEALTHINF, 2015)

Imbalanced Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm. - Georgios Douzas; Fernando Bação; João Fonseca; Manvel Khudinyan (Remote. Sens., 2019)

Moving in Time: Computational Analysis of Microtiming in Maracatu de Baque Solto. - Matthew E. P. Davies; Magdalena Fuentes; João Fonseca; Luís Aly; Marco Jerónimo; Filippo Bonini Baraldi (ISMIR, 2020)

Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse. - Ancil Crayton; João Fonseca; Kanav Mehra; Michelle Ng; Jared Ross; Marcelo Sandoval-Castañeda; Rachel von Gnechten (CoRR, 2020)

Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures. - João Fonseca; Georgios Douzas; Fernando Bação (Inf., 2021)

Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification. - João Fonseca; Georgios Douzas; Fernando Bação (Remote. Sens., 2021)

Research Trends and Applications of Data Augmentation Algorithms. - João Fonseca; Fernando Bação (CoRR, 2022)

Setting the Right Expectations: Algorithmic Recourse Over Time. - João Fonseca; Andrew Bell; Carlo Abrate; Francesco Bonchi; Julia Stoyanovich (EAAMO, 2023)

Safe Roads: Traffic Management and Road Safety Platform for Smart Cities. - Ana Almeida; João Fonseca; Pedro Rasinhas; Catarina Costa; Diogo Paiva; Gonçalo Silva; Pedro Rito; Susana Sargento (WF-IoT, 2023)

Improving Active Learning Performance through the Use of Data Augmentation. - João Fonseca; Fernando Bação (Int. J. Intell. Syst., 2023)

Mortality prediction using medical time series on TBI patients. - João Fonseca; Xiuyun Liu; Hélder P. Oliveira; Tânia Pereira 001 (Comput. Methods Programs Biomed., 2023)

Geometric SMOTE for imbalanced datasets with nominal and continuous features. - João Fonseca; Fernando Bação (Expert Syst. Appl., 2023)

Tabular and latent space synthetic data generation: a literature review. - João Fonseca; Fernando Bação (J. Big Data, 2023)

Behind the Lens: Exploring UV Reflection. - João Fonseca; Pedro Teixeira; Liliane Ventura (BIOSTEC (1), 2024)

Real-Time Machine Learning-Based IoT Data Analysis in the Edge Cloud Continuum Using AC3. - Jhofre Ojeda; Dimitrios Amaxilatis; Nikolaos Tsironis; Themistoklis Sarantakos; João Fonseca; Gereziher Adhane; Golshan Famitafreshi; Swastika Roy; Shreya K. Chari; Navideh Ghafouri; Kostas Ramantas; Christos V. Verikoukis (CAMAD, 2024)

The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness. - Andrew Bell; João Fonseca; Julia Stoyanovich (SIGMOD Conference Companion, 2024)

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity. - Andrew Bell; João Fonseca; Carlo Abrate; Francesco Bonchi; Julia Stoyanovich (CoRR, 2024)

ShaRP: Explaining Rankings with Shapley Values. - Venetia Pliatsika; João Fonseca; Tilun Wang; Julia Stoyanovich (CoRR, 2024)

Open Shortest Path First extension for the support of multiarea networks with arbitrary topologies. - Xavier Gomes; João Fonseca; Rui Valadas (IET Networks, 2024)

SHAP-based Explanations are Sensitive to Feature Representation. - Hyunseung Hwang; Andrew Bell; João Fonseca; Venetia Pliatsika; Julia Stoyanovich; Steven Euijong Whang (FAccT, 2025)

Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs. - João Fonseca; Andrew Bell; Julia Stoyanovich (CoRR, 2025)