HAGR: the Human Ageing Genomic Resources. - João Pedro de Magalhães; Joana Cósta; Olivier Toussaint (Nucleic Acids Res., 2005)

The Importance of Precision in Humour Classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IDEAL, 2011)

On using crowdsourcing and active learning to improve classification performance. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ISDA, 2011)

Get Your Jokes Right: Ask the Crowd. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (MEDI, 2011)

Defining Semantic Meta-hashtags for Twitter Classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ICANNGA, 2013)

CrowdTargeting: Making Crowds More Personal. - Joana Cósta; Catarina Silva 001; Bernardete Ribeiro; Mário Antunes 002 (SMAP, 2013)

Customized crowds and active learning to improve classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (Expert Syst. Appl., 2013)

Human Ageing Genomic Resources: Integrated databases and tools for the biology and genetics of ageing. - Robi Tacutu; Thomas Craig; Arie Budovsky; Daniel Wuttke; Gilad Lehmann; Dmitri Taranukha; Joana Cósta; Vadim E. Fraifeld; João Pedro de Magalhães (Nucleic Acids Res., 2013)

Concept Drift Awareness in Twitter Streams. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ICMLA, 2014)

DOTS: Drift Oriented Tool System. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ICONIP (4), 2015)

The impact of longstanding messages in micro-blogging classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IJCNN, 2015)

Active Manifold Learning with Twitter Big Data. - Catarina Silva 001; Mário Antunes 002; Joana Cósta; Bernardete Ribeiro (INNS Conference on Big Data, 2015)

Choice of Best Samples for Building Ensembles in Dynamic Environments. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (EANN, 2016)

Performance Metrics for Model Fusion in Twitter Data Drifts. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IbPRIA, 2017)

Adaptive learning for dynamic environments: A comparative approach. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (Eng. Appl. Artif. Intell., 2017)

Adaptive Learning Models Evaluation in Twitter's Timelines. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IJCNN, 2018)

Learning in Twitter Streams with 280 Character Tweets. - Joana Cósta; Catarina Silva 001; Bernardete Ribeiro (SoCPaR, 2018)

Retweet Predictive Model for Predicting the Popularity of Tweets. - Nelson Oliveira; Joana Cósta; Catarina Silva 001; Bernardete Ribeiro (SoCPaR, 2018)

Hierarchical Deep Learning Approach for Plant Disease Detection. - Joana Cósta; Catarina Silva 001; Bernardete Ribeiro (IbPRIA (2), 2019)

Boosting dynamic ensemble's performance in Twitter. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (Neural Comput. Appl., 2020)

Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification. - Joana Cósta; Catarina Silva 001; Miguel Santos; Telmo R. Fernandes; Sérgio Faria (Sensors, 2021)

Improving Pest Detection via Transfer Learning. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (CIARP, 2023)

Enhancing Pest Detection Models Through Improved Annotations. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (EPIA (2), 2023)

Smart Pest Detection in the Wild. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (exp.at, 2023)

Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. - Dinis Costa; Bruno Cardoso; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (exp.at, 2023)

Optimizing Object Detection Models via Active Learning. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (IbPRIA, 2023)