MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. - Catarina Silva 001; Manuel M. Crisóstomo; Bernardete Ribeiro (IJCNN (6), 2000)

An Inductive Inference Approach to Large Scale Text Categorisation. - Catarina Silva 001; Bernardete Ribeiro (ICANNGA, 2003)

On the Evaluation of Text Processing in Text Categorization. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2003)

Navigating mobile robots with a modular neural architecture. - Catarina Silva 001; Bernardete Ribeiro (Neural Comput. Appl., 2003)

Margin-Based Active Learning and Background Knowledge in Text Mining. - Catarina Silva 001; Bernardete Ribeiro (HIS, 2004)

Labeled and unlabeled data in text categorization. - Catarina Silva 001; Bemardete Ribeiro (IJCNN, 2004)

Speeding-up text categorization in a grid computing environment. - Catarina Silva 001; Bernardete Ribeiro; Uros Lotric (ICMLA, 2005)

Two-Level Hierarchical Hybrid SVM-RVM Classification Model. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2006)

Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. - Catarina Silva 001; Bernardete Ribeiro (IDEAL, 2006)

Scaling Text Classification with Relevance Vector Machines. - Catarina Silva 001; Bernardete Ribeiro (SMC, 2006)

Boosting RVM Classifiers for Large Data Sets. - Catarina Silva 001; Bernardete Ribeiro; Andrew H. Sung (ICANNGA (2), 2007)

Combining active learning and relevance vector machines for text classification. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2007)

On Text-based Mining with Active Learning and Background Knowledge Using SVM. - Catarina Silva 001; Bernardete Ribeiro (Soft Comput., 2007)

Text Classification on Embedded Manifolds. - Catarina Silva 001; Bernardete Ribeiro (IBERAMIA, 2008)

Distributed Ensemble Learning in Text Classification. - Catarina Silva 001; Bernardete Ribeiro; Uros Lotric; Andrej Dobnikar (ICEIS (2), 2008)

Selecting Examples in Manifold Reduced Feature Space for Active Learning. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2008)

Learning Manifolds for Bankruptcy Analysis. - Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; Catarina Silva 001; João Carvalho das Neves; Qingzhong Liu; Andrew H. Sung (ICONIP (1), 2008)

Building resilient classifiers for LSB matching steganography. - Rita Ferreira; Bernardete Ribeiro; Catarina Silva 001; Qingzhong Liu; Andrew H. Sung (IJCNN, 2008)

Towards Expanding Relevance Vector Machines to Large Scale Datasets. - Catarina Silva 001; Bernardete Ribeiro (Int. J. Neural Syst., 2008)

Improving Text Classification Performance with Incremental Background Knowledge. - Catarina Silva 001; Bernardete Ribeiro (ICANN (1), 2009)

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. - Bernardete Ribeiro; Catarina Silva 001; Armando Vieira; João Carvalho das Neves (ICANNGA, 2009)

Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. - Catarina Silva 001; Bernardete Ribeiro (ICANNGA, 2009)

Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. - Catarina Silva 001; Bernardete Ribeiro (IDEAL, 2009)

High-performance bankruptcy prediction model using Graphics Processing Units. - Bernardete Ribeiro; Noel Lopes; Catarina Silva 001 (IJCNN, 2010)

Financial distress model prediction using SVM+. - Bernardete Ribeiro; Catarina Silva 001; Armando Vieira; António Gaspar-Cunha; João Carvalho das Neves (IJCNN, 2010)

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. - Catarina Silva 001; Bernardete Ribeiro; Noel Lopes (IJCNN, 2010)

Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. - Catarina Silva 001; Uros Lotric; Bernardete Ribeiro; Andrej Dobnikar (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques - Catarina Silva 001; Bernardete Ribeiro (Springer, 2010)

Mobile Multimedia Visiting Guide to Knowledge and Experiences Sharing. - Diogo Lopes; Miguel Pragosa; Catarina Silva 001; Luís Marcelino (CENTERIS (2), 2011)

Location-Based Service for a Social Network with Time and Space Information. - Ana Filipa Nogueira; Catarina Silva 001 (CENTERIS (2), 2011)

Virtual Fitting Room Augmented Reality Techniques for e-Commerce. - Francisco Pereira; Catarina Silva 001; Mário Alves (CENTERIS (2), 2011)

Citizens@City Mobile Application for Urban Problem Reporting. - António Miguel Ribeiro; Rui Pedro Costa; Luís Marcelino; Catarina Silva 001 (CENTERIS (2), 2011)

A Hybrid AIS-SVM Ensemble Approach for Text Classification. - Mário Antunes 002; Catarina Silva 001; Bernardete Ribeiro; Manuel Eduardo Correia (ICANNGA (2), 2011)

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

Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. - Catarina Silva 001; 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)

Enhanced default risk models with SVM+. - Bernardete Ribeiro; Catarina Silva 001; Ning Chen 003; Armando Vieira; João Carvalho das Neves (Expert Syst. Appl., 2012)

Profile-based system for nutritional information management. - Rui Costa; Luis Marcelino; Catarina Silva 001 (Healthcom, 2013)

Using text mining to diagnose and classify epilepsy in children. - Luís Pereira; Rui Rijo; Catarina Silva 001; Margarida Agostinho (Healthcom, 2013)

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)

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

Mobile Games for Children. - Sílvia Martins; Catarina Silva 001; Luis Marcelino (WorldCIST (2), 2014)

Decision Support System to Diagnosis and Classification of Epilepsy in Children. - Rui Rijo; Catarina Silva 001; Luís Pereira; Dulce Gonçalves; Margarida Agostinho (J. Univers. Comput. Sci., 2014)

Health Twitter Big Bata Management with Hadoop Framework. - João Cunha; Catarina Silva 001; Mário Antunes 002 (CENTERIS/ProjMAN/HCist, 2015)

Assistive Mobile Applications for Dyslexia. - Jorge Madeira; Catarina Silva 001; Luís Marcelino; Paula Ferreira 003 (CENTERIS/ProjMAN/HCist, 2015)

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 001 (COMPSAC, 2015)

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)

Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. - Bernardete Ribeiro; Noel Lopes; Catarina Silva 001 (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)

Text Mining Applied to Electronic Medical Records: A Literature Review. - Luís Pereira; Rui Rijo; Catarina Silva 001; Ricardo Martinho 001 (Int. J. E Health Medical Commun., 2015)

A Telemedicine Application Using WebRTC. - Mário Antunes 002; Catarina Silva 001; Joaquim Barranca (CENTERIS/ProjMAN/HCist, 2016)

Information System for Automation of Counterfeited Documents Images Correlation. - Rafael Vieira; Catarina Silva 001; Mário Antunes 002; Ana Assis (CENTERIS/ProjMAN/HCist, 2016)

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

Visualization of Individual Ensemble Classifier Contributions. - Catarina Silva 001; Bernardete Ribeiro (IPMU (2), 2016)

Multiclass Ensemble of One-against-all SVM Classifiers. - Catarina Silva 001; Bernardete Ribeiro (ISNN, 2016)

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

Automatic Documents Counterfeit Classification Using Image Processing and Analysis. - Rafael Vieira; Mário Antunes 002; Catarina Silva 001; Ana Assis (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)

Model for Selecting Software Development Methodology. - Lizeth Chandi; Catarina Silva 001; Tatiana Gualotuña; Danilo Martínez (ICITS, 2018)

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)

Server Load Prediction on Wikipedia Traffic: Influence of Granularity and Time Window. - Cláudio A. D. Silva; Carlos Grilo; Catarina Silva 001 (SoCPaR, 2018)

A Hybrid Application for Real-Time Air Quality Monitoring. - Jorge Sá Silva; Pedro Lucas; Filipe Araújo; Catarina Silva 001; Paulo Gil; Alberto Cardoso; Joel Arrais; Bernardete Ribeiro; Daniel Coutinho; Pedro D. Salgueiro; Luís Miguel Rato; José Saias; et al. (exp.at, 2019)

An Online Platform For Real-Time Air Quality Monitoring. - Jorge Sá Silva; Pedro Lucas; Filipe Araújo; Catarina Silva 001; Paulo Gil; Alberto Cardoso; Joel Arrais; Bernardete Ribeiro; Daniel Coutinho; Pedro D. Salgueiro; Luís Miguel Rato; José Saias; et al. (exp.at, 2019)

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

Deep Learning with Real-Time Inference for Human Detection in Search and Rescue. - Raúl Llasag Rosero; Carlos Grilo; Catarina Silva 001 (ISDA, 2020)

NanoSen-AQM: From Sensors to Users. - Pedro Lucas; Jorge Sá Silva; Filipe Araújo; Catarina Silva 001; Paulo Gil; Joel P. Arrais; Daniel Coutinho; Pedro D. Salgueiro; Luís Miguel Rato; José Saias; Vítor Nogueira; Alberto Cardoso; et al. (Int. J. Online Biomed. Eng., 2020)

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

Interpreting Decision Patterns in Financial Applications. - Tiago Faria; Catarina Silva 001; Bernardete Ribeiro (CIARP, 2021)

Decay Momentum for Improving Federated Learning. - Miguel Fernandes; Catarina Silva 001; Joel Arrais; Alberto Cardoso; Bernardete Ribeiro (ESANN, 2021)

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)

A Generic Approach to Extend Interpretability of Deep Networks. - Catarina Silva 001; António Morais; Bernardete Ribeiro (EPIA, 2022)

Sentiment Analysis in Portuguese Dialogues. - Isabel Carvalho; Hugo Gonçalo Oliveira; Catarina Silva 001 (IberSPEECH, 2022)

A Brief Survey of Textual Dialogue Corpora. - Hugo Gonçalo Oliveira; Patrícia Sofia Pereira Ferreira; Daniel Martins; Catarina Silva 001; Ana Alves 001 (LREC, 2022)

Question Answering For Toxicological Information Extraction. - Bruno Carlos Luís Ferreira; Hugo Gonçalo Oliveira; Hugo Amaro; Ângela Laranjeiro; Catarina Silva 001 (SLATE, 2022)

Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs. - Hugo Gonçalo Oliveira; Sara Inácio; Catarina Silva 001 (SLATE, 2022)

Do Emotional States Influence Physiological Pain Responses? - Bruna Alves; Catarina Silva 001; Raquel Sebastião (CIARP, 2023)

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

Leveraging Question Answering for Domain-Agnostic Information Extraction. - Bruno Carlos Luís Ferreira; Hugo Gonçalo Oliveira; Catarina Silva 001 (CIARP, 2023)

Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. - Bruno Carlos Luís Ferreira; Hugo Gonçalo Oliveira; Hugo Amaro; Ângela Laranjeiro; Catarina Silva 001 (EANN, 2023)

Forecasting Functional Time Series Using Federated Learning. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro (EANN, 2023)

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

Towards Interpretability in Fintech Applications via Knowledge Augmentation. - Catarina Silva 001; Tiago Faria; Bernardete Ribeiro (EPIA (1), 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)

Safetydesk: Accelerating the Production of Toxicological Reports. - José Pereira; Bruno Carlos Luís Ferreira; Ângela Laranjeiro; Bruno Caceiro; Hugo Amaro; Hugo Gonçalo Oliveira; Catarina Silva 001 (exp.at, 2023)

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

Generating Wildfire Heat Maps with Twitter and BERT. - João Cabral Pinto; Hugo Gonçalo Oliveira; Alberto Cardoso; Catarina Silva 001 (IDEAL, 2023)

The Importance of Context for Sentiment Analysis in Dialogues. - Isabel Carvalho; Hugo Gonçalo Oliveira; Catarina Silva 001 (IEEE Access, 2023)

Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (CIARP (2), 2024)

A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence. - Isabel Carvalho; Hugo Gonçalo Oliveira; Catarina Silva 001 (EPIA (2), 2024)

Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (EPIA (3), 2024)

ASAP: A Dynamic & Proactive Approach for Android Security Analysis and Privacy. - Catarina Silva 001; João Felisberto; João Paulo Barraca; Paulo Salvador 001 (FiCloud, 2024)

Emotion-Enhanced Pain Assessment Protocol. - Bruna Alves; Ana Almeida; Catarina Silva 001; Daniela Pais; Rita P. Ribeiro; João Gama 001; José Maria Fernandes; Susana Brás; Raquel Sebastião (HAR, 2024)

A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-frame Analysis. - João Pedro Geirinhas; Jacinto Estima; Catarina Silva 001 (IDEAL (2), 2024)

Question Answering for Dialogue State Tracking in Portuguese. - Francisco Pais; Patrícia Sofia Pereira Ferreira; Catarina Silva 001; Ana Alves 001; Hugo Gonçalo Oliveira (PROPOR (1), 2024)

Sentiment-Aware Dialogue Flow Discovery for Interpreting Communication Trends. - Patrícia Sofia Pereira Ferreira; Isabel Carvalho; Ana Alves 001; Catarina Silva 001; Hugo Gonçalo Oliveira (SIGDIAL, 2024)

Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron. - Diogo Gaspar; Paulo Silva 002; Catarina Silva 001 (IEEE Access, 2024)

Unsupervised Flow Discovery from Task-oriented Dialogues. - Patrícia Sofia Pereira Ferreira; Daniel Martins; Ana Alves 001; Catarina Silva 001; Hugo Gonçalo Oliveira (CoRR, 2024)

The Significance of Latent Data Divergence in Predicting System Degradation. - Miguel Fernandes; Catarina Silva 001; Alberto Cardoso; Bernardete Ribeiro (CoRR, 2024)

MultiWOZ-PT Um Conjunto de Diálogos Orientados a Tarefas em Português. - Patrícia Sofia Pereira Ferreira; Francisco Pais; Catarina Silva 001; Ana Alves 001; Hugo Gonçalo Oliveira (Linguamática, 2024)

DylanPerdigao/Bayesian-Optimization-1D-CSNN. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (Zenodo, 2024)

Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro; Bruno F. Santos (J. Intell. Manuf., 2024)

Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (IbPRIA, 2025)

Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets. - Bernardete Ribeiro; Francisco Antunes; Dylan Perdigão; Catarina Silva 001 (Pattern Recognit. Lett., 2025)

Label synchronization strategies for hybrid federated learning. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro; Melania Albisser; Martin H. Brutsche; Manuel Arias Chao (Reliab. Eng. Syst. Saf., 2025)