Catarina Silva

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 47

Top Topics

Ensemble Classifier

Question Answering

Adaptive Learning

Top Venues

CENTERIS/ProjMAN/HCist

Publications

Francisco Pais, Patrícia Ferreira, Catarina Silva, Ana Alves, Hugo Gonçalo Oliveira
Question Answering for Dialogue State Tracking in Portuguese. PROPOR (2024)
Patrícia Ferreira, Daniel Martins, Ana Alves, Catarina Silva, Hugo Gonçalo Oliveira
Unsupervised Flow Discovery from Task-oriented Dialogues. CoRR (2024)
Miguel Fernandes, Catarina Silva, Alberto Cardoso, Bernardete Ribeiro
The Significance of Latent Data Divergence in Predicting System Degradation. CoRR (2024)
Dinis Costa, Bruno Cardoso, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. exp.at (2023)
Isabel Carvalho, Hugo Gonçalo Oliveira, Catarina Silva
The Importance of Context for Sentiment Analysis in Dialogues. IEEE Access 11 (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Smart Pest Detection in the Wild. exp.at (2023)
Catarina Silva, Tiago Faria, Bernardete Ribeiro
Towards Interpretability in Fintech Applications via Knowledge Augmentation. EPIA (1) (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Optimizing Object Detection Models via Active Learning. IbPRIA (2023)
João Cabral Pinto, Hugo Gonçalo Oliveira, Alberto Cardoso, Catarina Silva
Generating Wildfire Heat Maps with Twitter and BERT. IDEAL (2023)
Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva
Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. EANN (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Improving Pest Detection via Transfer Learning. CIARP (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Enhancing Pest Detection Models Through Improved Annotations. EPIA (2) (2023)
Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Catarina Silva
Leveraging Question Answering for Domain-Agnostic Information Extraction. CIARP (2023)
Hugo Gonçalo Oliveira, Patrícia Ferreira, Daniel Martins, Catarina Silva, Ana Alves
A Brief Survey of Textual Dialogue Corpora. LREC (2022)
Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva
Question Answering For Toxicological Information Extraction. SLATE (2022)
Isabel Carvalho, Hugo Gonçalo Oliveira, Catarina Silva
Sentiment Analysis in Portuguese Dialogues. IberSPEECH (2022)
Hugo Gonçalo Oliveira, Sara Inácio, Catarina Silva
Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs. SLATE (2022)
Joana Cósta, Catarina Silva, Miguel Santos, Telmo R. Fernandes, Sérgio Faria
Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification. Sensors 21 (15) (2021)
Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro
Decay Momentum for Improving Federated Learning. ESANN (2021)
Tiago Faria, Catarina Silva, Bernardete Ribeiro
Interpreting Decision Patterns in Financial Applications. CIARP (2021)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32 (14) (2020)
Pedro Lucas, Jorge Sá Silva, Filipe Araújo, Catarina Silva, Paulo Gil, Joel P. Arrais, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira, Alberto Cardoso, Bernardete Ribeiro
NanoSen-AQM: From Sensors to Users. Int. J. Online Biomed. Eng. 16 (4) (2020)
Raúl Llasag Rosero, Carlos Grilo, Catarina Silva
Deep Learning with Real-Time Inference for Human Detection in Search and Rescue. ISDA (2020)
Joana Cósta, Catarina Silva, Bernardete Ribeiro
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) (2019)
Jorge Sá Silva, Pedro Lucas, Filipe Araújo, Catarina Silva, Paulo Gil, Alberto Cardoso, Joel Arrais, Bernardete Ribeiro, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira
An Online Platform For Real-Time Air Quality Monitoring. exp.at (2019)
Jorge Sá Silva, Pedro Lucas, Filipe Araújo, Catarina Silva, Paulo Gil, Alberto Cardoso, Joel Arrais, Bernardete Ribeiro, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira
A Hybrid Application for Real-Time Air Quality Monitoring. exp.at (2019)
Cláudio A. D. Silva, Carlos Grilo, Catarina Silva
Server Load Prediction on Wikipedia Traffic: Influence of Granularity and Time Window. SoCPaR (2018)
Lizeth Chandi, Catarina Silva, Tatiana Gualotuña, Danilo Martinez
Model for Selecting Software Development Methodology. ICITS (2018)
Joana Cósta, Catarina Silva, Bernardete Ribeiro
Learning in Twitter Streams with 280 Character Tweets. SoCPaR (2018)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN (2018)
Nelson Oliveira, Joana Cósta, Catarina Silva, Bernardete Ribeiro
Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR (2018)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA (2017)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65 (2017)
Rafael Vieira, Mário Antunes, Catarina Silva, Ana Assis
Automatic Documents Counterfeit Classification Using Image Processing and Analysis. IbPRIA (2017)
Rafael Vieira, Catarina Silva, Mário Antunes, Ana Assis
Information System for Automation of Counterfeited Documents Images Correlation. CENTERIS/ProjMAN/HCist (2016)
Catarina Silva, Bernardete Ribeiro
Multiclass Ensemble of One-against-all SVM Classifiers. ISNN (2016)
Catarina Silva, Bernardete Ribeiro
Visualization of Individual Ensemble Classifier Contributions. IPMU (2) (2016)
Mário Antunes, Catarina Silva, Joaquim Barranca
A Telemedicine Application Using WebRTC. CENTERIS/ProjMAN/HCist (2016)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN (2016)
Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data (2015)
James H. Paterson, Markku Karhu, Walter Cazzola, Irina Illina, Robert Law, Dario Machiodi, Marisa Maximiano, Catarina Silva
Experience of an International Collaborative Project with First Year Programming Students. COMPSAC (2015)
Luís Pereira, Rui Rijo, Catarina Silva, Ricardo Martinho
Text Mining Applied to Electronic Medical Records: A Literature Review. Int. J. E Health Medical Commun. 6 (3) (2015)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
The impact of longstanding messages in micro-blogging classification. IJCNN (2015)
João Cunha, Catarina Silva, Mário Antunes
Health Twitter Big Bata Management with Hadoop Framework. CENTERIS/ProjMAN/HCist (2015)
Jorge Madeira, Catarina Silva, Luís Marcelino, Paula Ferreira
Assistive Mobile Applications for Dyslexia. CENTERIS/ProjMAN/HCist (2015)
Bernardete Ribeiro, Noel Lopes, Catarina Silva
Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. IJCNN (2015)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
DOTS: Drift Oriented Tool System. ICONIP (4) (2015)
Rui Rijo, Catarina Silva, Luís Pereira, Dulce Gonçalves, Margarida Agostinho
Decision Support System to Diagnosis and Classification of Epilepsy in Children. J. Univers. Comput. Sci. 20 (6) (2014)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Concept Drift Awareness in Twitter Streams. ICMLA (2014)
Sílvia Martins, Catarina Silva, Luis Marcelino
Mobile Games for Children. WorldCIST (2) (2014)
Joana Cósta, Catarina Silva, Bernardete Ribeiro, Mário Antunes
CrowdTargeting: Making Crowds More Personal. SMAP (2013)
Luís Pereira, Rui Rijo, Catarina Silva, Margarida Agostinho
Using text mining to diagnose and classify epilepsy in children. Healthcom (2013)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA (2013)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Customized crowds and active learning to improve classification. Expert Syst. Appl. 40 (18) (2013)
Rui Costa, Luis Marcelino, Catarina Silva
Profile-based system for nutritional information management. Healthcom (2013)
Bernardete Ribeiro, Catarina Silva, Ning Chen, Armando Vieira, João Carvalho das Neves
Enhanced default risk models with SVM+. Expert Syst. Appl. 39 (11) (2012)
Mário Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia
A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) (2011)
António Miguel Ribeiro, Rui Pedro Costa, Luís Marcelino, Catarina Silva
Citizens@City Mobile Application for Urban Problem Reporting. CENTERIS (2) (2011)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
The Importance of Precision in Humour Classification. IDEAL (2011)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Get Your Jokes Right: Ask the Crowd. MEDI (2011)
Francisco Pereira, Catarina Silva, Mário Alves
Virtual Fitting Room Augmented Reality Techniques for e-Commerce. CENTERIS (2) (2011)
Catarina Silva, Bernardete Ribeiro
Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. IDEAL (2011)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
On using crowdsourcing and active learning to improve classification performance. ISDA (2011)
Diogo Lopes, Miguel Pragosa, Catarina Silva, Luís Marcelino
Mobile Multimedia Visiting Guide to Knowledge and Experiences Sharing. CENTERIS (2) (2011)
Ana Filipa Nogueira, Catarina Silva
Location-Based Service for a Social Network with Time and Space Information. CENTERIS (2) (2011)
Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves
Financial distress model prediction using SVM+. IJCNN (2010)
Bernardete Ribeiro, Noel Lopes, Catarina Silva
High-performance bankruptcy prediction model using Graphics Processing Units. IJCNN (2010)
Catarina Silva, Uros Lotric, Bernardete Ribeiro, Andrej Dobnikar
Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. IEEE Trans. Syst. Man Cybern. Part C 40 (3) (2010)
Catarina Silva, Bernardete Ribeiro, Noel Lopes
Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. IJCNN (2010)
Catarina Silva, Bernardete Ribeiro
Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. IDEAL (2009)
Catarina Silva, Bernardete Ribeiro
Improving Text Classification Performance with Incremental Background Knowledge. ICANN (1) (2009)
Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves
Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA (2009)
Catarina Silva, Bernardete Ribeiro
Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. ICANNGA (2009)
Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung
Building resilient classifiers for LSB matching steganography. IJCNN (2008)
Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung
Learning Manifolds for Bankruptcy Analysis. ICONIP (1) (2008)
Catarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar
Distributed Ensemble Learning in Text Classification. ICEIS (2) (2008)
Catarina Silva, Bernardete Ribeiro
Text Classification on Embedded Manifolds. IBERAMIA (2008)
Catarina Silva, Bernardete Ribeiro
Selecting Examples in Manifold Reduced Feature Space for Active Learning. ICMLA (2008)
Catarina Silva, Bernardete Ribeiro
Towards Expanding Relevance Vector Machines to Large Scale Datasets. Int. J. Neural Syst. 18 (1) (2008)
Catarina Silva, Bernardete Ribeiro
On Text-based Mining with Active Learning and Background Knowledge Using SVM. Soft Comput. 11 (6) (2007)
Catarina Silva, Bernardete Ribeiro, Andrew H. Sung
Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) (2007)
Catarina Silva, Bernardete Ribeiro
Combining active learning and relevance vector machines for text classification. ICMLA (2007)
Catarina Silva, Bernardete Ribeiro
Two-Level Hierarchical Hybrid SVM-RVM Classification Model. ICMLA (2006)
Catarina Silva, Bernardete Ribeiro
Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. IDEAL (2006)
Catarina Silva, Bernardete Ribeiro
Scaling Text Classification with Relevance Vector Machines. SMC (2006)
Catarina Silva, Bernardete Ribeiro, Uros Lotric
Speeding-up text categorization in a grid computing environment. ICMLA (2005)
Catarina Silva, Bernardete Ribeiro
Margin-Based Active Learning and Background Knowledge in Text Mining. HIS (2004)
Catarina Silva, Bernardete Ribeiro
On the Evaluation of Text Processing in Text Categorization. ICMLA (2003)
Catarina Silva, Bernardete Ribeiro
An Inductive Inference Approach to Large Scale Text Categorisation. ICANNGA (2003)
Catarina Silva, Bernardete Ribeiro
Navigating mobile robots with a modular neural architecture. Neural Comput. Appl. 12 (3-4) (2003)
Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. IJCNN (6) (2000)