| 2026 | CSEDU | Motivating Students for STEM Careers Using Physical Computing: An Experience with 10th Graders. | Maria Jos Marcelino, Alberto Cardoso, Catarina Silva, Paula Alexandra Silva |
| 2026 | DATA | Automated & Real-Time Privacy Quantification for Microservices Architectures. | Catarina Silva, Bernardo Fal, Joo Paulo Barraca, Paulo Salvador |
| 2026 | LREC | RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset. | Toms Pinto, Catarina Silva, Hugo Gonalo Oliveira |
| 2025 | CHIRA | Human-Centered Design for a Usable Privacy SCALE in Healthcare. | Catarina Silva, Rita Alves, Isaac Nunes, Joana Pinto, Ana Ferreira |
| 2025 | EPIA | Prompting LLMs for Relation Classification in Portuguese: Is It Worth It? | Toms Pinto, Bruno Ferreira, Catarina Silva, Hugo Gonalo Oliveira |
| 2025 | IBPRIA | Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. | Dylan Perdigo, Francisco Antunes, Catarina Silva, Bernardete Ribeiro |
| 2025 | INLG | Cognitive Flow: An LLM-Automated Framework for Quantifying Reasoning Distillation. | Jos Matos, Catarina Silva, Hugo Gonalo Oliveira |
| 2025 | ISCC | PrivGuide: A Planning Tool for Proactive Privacy Integration in the DevPrivOps Lifecycle. | Joo Felisberto, Catarina Silva, Joo Paulo Barraca, Paulo Salvador, Pedro Toms |
| 2024 | CIARP | Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. | Dylan Perdigo, Francisco Antunes, Catarina Silva, Bernardete Ribeiro |
| 2024 | EPIA | A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence. | Isabel Carvalho, Hugo Gonalo Oliveira, Catarina Silva |
| 2024 | EPIA | Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. | Dylan Perdigo, Francisco Antunes, Catarina Silva, Bernardete Ribeiro |
| 2024 | IDEAL | A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-frame Analysis. | Joo Pedro Geirinhas, Jacinto Estima, Catarina Silva |
| 2024 | SIGdial | Sentiment-Aware Dialogue Flow Discovery for Interpreting Communication Trends. | Patrcia Sofia Pereira Ferreira, Isabel Carvalho, Ana Alves, Catarina Silva, Hugo Gonalo Oliveira |
| 2023 | CIARP | Do Emotional States Influence Physiological Pain Responses? | Bruna Alves, Catarina Silva, Raquel Sebastio |
| 2023 | CIARP | Improving Pest Detection via Transfer Learning. | Dinis Costa, Catarina Silva, Joana Csta, Bernardete Ribeiro |
| 2023 | CIARP | Leveraging Question Answering for Domain-Agnostic Information Extraction. | Bruno Carlos Lus Ferreira, Hugo Gonalo Oliveira, Catarina Silva |
| 2023 | EANN | Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. | Bruno Carlos Lus Ferreira, Hugo Gonalo Oliveira, Hugo Amaro, ngela Laranjeiro, Catarina Silva |
| 2023 | EANN | Forecasting Functional Time Series Using Federated Learning. | Ral Llasag Rosero, Catarina Silva, Bernardete Ribeiro |
| 2023 | EPIA | Enhancing Pest Detection Models Through Improved Annotations. | Dinis Costa, Catarina Silva, Joana Csta, Bernardete Ribeiro |
| 2023 | EPIA | Towards Interpretability in Fintech Applications via Knowledge Augmentation. | Catarina Silva, Tiago Faria, Bernardete Ribeiro |
| 2023 | HIS | Unsupervised Flow Discovery from Task-Oriented Dialogues. | Patrcia Sofia Pereira Ferreira, Daniel Martins, Ana Alves, Catarina Silva, Hugo Gonalo Oliveira |
| 2023 | HIS | Evaluating Collaborative Forecasting in Non-horizontal Federated Learning. | Ral Llasag Rosero, Catarina Silva, Bernardete Ribeiro |
| 2023 | IBPRIA | Optimizing Object Detection Models via Active Learning. | Dinis Costa, Catarina Silva, Joana Csta, Bernardete Ribeiro |
| 2023 | IDEAL | Generating Wildfire Heat Maps with Twitter and BERT. | Joo Cabral Pinto, Hugo Gonalo Oliveira, Alberto Cardoso, Catarina Silva |
| 2022 | EPIA | A Generic Approach to Extend Interpretability of Deep Networks. | Catarina Silva, Antnio Morais, Bernardete Ribeiro |
| 2022 | LREC | A Brief Survey of Textual Dialogue Corpora. | Hugo Gonalo Oliveira, Patrcia Sofia Pereira Ferreira, Daniel Martins, Catarina Silva, Ana Alves |
| 2021 | CIARP | Interpreting Decision Patterns in Financial Applications. | Tiago Faria, Catarina Silva, Bernardete Ribeiro |
| 2021 | ESANN | Decay Momentum for Improving Federated Learning. | Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro |
| 2020 | ISDA | Deep Learning with Real-Time Inference for Human Detection in Search and Rescue. | Ral Llasag Rosero, Carlos Grilo, Catarina Silva |
| 2020 | WorldCIST | Evolution of HTTPS Usage by Portuguese Municipalities. | Hlder Gomes, Andr Zquete, Gonalo Paiva Dias, Fbio Marques, Catarina Silva |
| 2019 | IBPRIA | Hierarchical Deep Learning Approach for Plant Disease Detection. | Joana Csta, Catarina Silva, Bernardete Ribeiro |
| 2018 | IJCNN | Adaptive Learning Models Evaluation in Twitter's Timelines. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2017 | EPIA | Feedbot - A Robotic Arm for Autonomous Assisted Feeding. | Catarina Silva, Jayakorn Vongkulbhisal, Manuel Marques, Joo Paulo Costeira, Manuela M. Veloso |
| 2017 | IBPRIA | Performance Metrics for Model Fusion in Twitter Data Drifts. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2017 | IBPRIA | Automatic Documents Counterfeit Classification Using Image Processing and Analysis. | Rafael Vieira, Mrio Antunes, Catarina Silva, Ana Assis |
| 2016 | EANN | Choice of Best Samples for Building Ensembles in Dynamic Environments. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2016 | IPMU | Visualization of Individual Ensemble Classifier Contributions. | Catarina Silva, Bernardete Ribeiro |
| 2016 | ISNN | Multiclass Ensemble of One-against-all SVM Classifiers. | Catarina Silva, Bernardete Ribeiro |
| 2015 | COMPSAC | Experience of an International Collaborative Project with First Year Programming Students. | James H. Paterson, Markku Karhu, Walter Cazzola, Irina Illina, Robert Law, Dario Machiodi, Marisa Maximiano, Catarina Silva |
| 2015 | ICONIP | DOTS: Drift Oriented Tool System. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2015 | IJCNN | The impact of longstanding messages in micro-blogging classification. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2015 | IJCNN | Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. | Bernardete Ribeiro, Noel Lopes, Catarina Silva |
| 2014 | ICMLA | Concept Drift Awareness in Twitter Streams. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2014 | WorldCIST | Mobile Games for Children. | Slvia Martins, Catarina Silva, Luis Marcelino |
| 2013 | HealthCom | Profile-based system for nutritional information management. | Rui Costa, Luis Marcelino, Catarina Silva |
| 2013 | HealthCom | Using text mining to diagnose and classify epilepsy in children. | Lus Pereira, Rui Rijo, Catarina Silva, Margarida Agostinho |
| 2013 | Interspeech | Modeling postcolonial language varieties: challenges and lessons learned from mozambican Portuguese. | Simone Ashby, Slvia Barbosa, Catarina Silva, Paulino Fumo, Jos Pedro Ferreira |
| 2012 | Interspeech | A Rule Based Pronunciation Generator and Regional Accent Databank for Portuguese. | Simone Ashby, Slvia Barbosa, Silvia Brando, Jos Pedro Ferreira, Maarten Janssen, Catarina Silva, Mrio Eduardo Viaro |
| 2011 | IDEAL | The Importance of Precision in Humour Classification. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2011 | IDEAL | Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. | Catarina Silva, Bernardete Ribeiro |
| 2011 | ISDA | On using crowdsourcing and active learning to improve classification performance. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2011 | MEDI | Get Your Jokes Right: Ask the Crowd. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2010 | IJCNN | High-performance bankruptcy prediction model using Graphics Processing Units. | Bernardete Ribeiro, Noel Lopes, Catarina Silva |
| 2010 | IJCNN | Financial distress model prediction using SVM+. | Bernardete Ribeiro, Catarina Silva, Armando Vieira, Antnio Gaspar-Cunha, Joo Carvalho das Neves |
| 2010 | IJCNN | Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. | Catarina Silva, Bernardete Ribeiro, Noel Lopes |
| 2009 | ICANN | Improving Text Classification Performance with Incremental Background Knowledge. | Catarina Silva, Bernardete Ribeiro |
| 2009 | IDEAL | Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. | Catarina Silva, Bernardete Ribeiro |
| 2008 | ICMLA | Selecting Examples in Manifold Reduced Feature Space for Active Learning. | Catarina Silva, Bernardete Ribeiro |
| 2008 | ICONIP | Learning Manifolds for Bankruptcy Analysis. | Bernardete Ribeiro, Armando Vieira, Joo M. M. Duarte, Catarina Silva, Joo Carvalho das Neves, Qingzhong Liu, Andrew H. Sung |
| 2008 | IJCNN | Building resilient classifiers for LSB matching steganography. | Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung |
| 2007 | ICMLA | Combining active learning and relevance vector machines for text classification. | Catarina Silva, Bernardete Ribeiro |
| 2006 | ICMLA | Two-Level Hierarchical Hybrid SVM-RVM Classification Model. | Catarina Silva, Bernardete Ribeiro |
| 2006 | IDEAL | Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. | Catarina Silva, Bernardete Ribeiro |
| 2006 | SMC | Scaling Text Classification with Relevance Vector Machines. | Catarina Silva, Bernardete Ribeiro |
| 2005 | ICMLA | Speeding-up text categorization in a grid computing environment. | Catarina Silva, Bernardete Ribeiro, Uros Lotric |
| 2004 | HIS | Margin-Based Active Learning and Background Knowledge in Text Mining. | Catarina Silva, Bernardete Ribeiro |
| 2004 | IJCNN | Labeled and unlabeled data in text categorization. | Catarina Silva, Bemardete Ribeiro |
| 2003 | ICMLA | On the Evaluation of Text Processing in Text Categorization. | Catarina Silva, Bernardete Ribeiro |
| 2003 | IJCNN | The importance of stop word removal on recall values in text categorization. | Catarina Silva, Bemardete Ribeiro |
| 2000 | IJCNN | MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. | Catarina Silva, Manuel M. Crisstomo, Bernardete Ribeiro |