Catarina Silva

Affiliations:
  • Escola Superior de Tecnologia e Gestao de Leiria, Portugal
  • University of Coimbra, Portugal (former)


According to our database1, Catarina Silva authored at least 88 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The Importance of Context for Sentiment Analysis in Dialogues.
IEEE Access, 2023

Generating Wildfire Heat Maps with Twitter and BERT.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Optimizing Object Detection Models via Active Learning.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Towards Interpretability in Fintech Applications via Knowledge Augmentation.
Proceedings of the Progress in Artificial Intelligence, 2023

Enhancing Pest Detection Models Through Improved Annotations.
Proceedings of the Progress in Artificial Intelligence, 2023

Forecasting Functional Time Series Using Federated Learning.
Proceedings of the Engineering Applications of Neural Networks, 2023

Evaluating the Extraction of Toxicological Properties with Extractive Question Answering.
Proceedings of the Engineering Applications of Neural Networks, 2023

Leveraging Question Answering for Domain-Agnostic Information Extraction.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Improving Pest Detection via Transfer Learning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs.
Proceedings of the 11th Symposium on Languages, Applications and Technologies, 2022

Question Answering For Toxicological Information Extraction.
Proceedings of the 11th Symposium on Languages, Applications and Technologies, 2022

A Brief Survey of Textual Dialogue Corpora.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

A Generic Approach to Extend Interpretability of Deep Networks.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification.
Sensors, 2021

Decay Momentum for Improving Federated Learning.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Interpreting Decision Patterns in Financial Applications.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020
Boosting dynamic ensemble's performance in Twitter.
Neural Comput. Appl., 2020

NanoSen-AQM: From Sensors to Users.
Int. J. Online Biomed. Eng., 2020

Deep Learning with Real-Time Inference for Human Detection in Search and Rescue.
Proceedings of the Intelligent Systems Design and Applications, 2020

2019
Hierarchical Deep Learning Approach for Plant Disease Detection.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

An Online Platform For Real-Time Air Quality Monitoring.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

A Hybrid Application for Real-Time Air Quality Monitoring.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

2018
Server Load Prediction on Wikipedia Traffic: Influence of Granularity and Time Window.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Retweet Predictive Model for Predicting the Popularity of Tweets.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Learning in Twitter Streams with 280 Character Tweets.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Adaptive Learning Models Evaluation in Twitter's Timelines.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Model for Selecting Software Development Methodology.
Proceedings of the International Conference on Information Technology & Systems, 2018

2017
Adaptive learning for dynamic environments: A comparative approach.
Eng. Appl. Artif. Intell., 2017

Automatic Documents Counterfeit Classification Using Image Processing and Analysis.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Performance Metrics for Model Fusion in Twitter Data Drifts.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Multiclass Ensemble of One-against-all SVM Classifiers.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Visualization of Individual Ensemble Classifier Contributions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Choice of Best Samples for Building Ensembles in Dynamic Environments.
Proceedings of the Engineering Applications of Neural Networks, 2016

Information System for Automation of Counterfeited Documents Images Correlation.
Proceedings of the International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, 2016

A Telemedicine Application Using WebRTC.
Proceedings of the International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, 2016

2015
Text Mining Applied to Electronic Medical Records: A Literature Review.
Int. J. E Health Medical Commun., 2015

Active Manifold Learning with Twitter Big Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The impact of longstanding messages in micro-blogging classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

DOTS: Drift Oriented Tool System.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Experience of an International Collaborative Project with First Year Programming Students.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Assistive Mobile Applications for Dyslexia.
Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

Health Twitter Big Bata Management with Hadoop Framework.
Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

2014
Decision Support System to Diagnosis and Classification of Epilepsy in Children.
J. Univers. Comput. Sci., 2014

Mobile Games for Children.
Proceedings of the New Perspectives in Information Systems and Technologies, 2014

Concept Drift Awareness in Twitter Streams.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Customized crowds and active learning to improve classification.
Expert Syst. Appl., 2013

CrowdTargeting: Making Crowds More Personal.
Proceedings of the 8th International Workshop on Semantic and Social Media Adaptation and Personalization, 2013

Defining Semantic Meta-hashtags for Twitter Classification.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Using text mining to diagnose and classify epilepsy in children.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Profile-based system for nutritional information management.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2012
Enhanced default risk models with SVM+.
Expert Syst. Appl., 2012

2011
Get Your Jokes Right: Ask the Crowd.
Proceedings of the Model and Data Engineering - First International Conference, 2011

On using crowdsourcing and active learning to improve classification performance.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

The Importance of Precision in Humour Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

A Hybrid AIS-SVM Ensemble Approach for Text Classification.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Citizens@City Mobile Application for Urban Problem Reporting.
Proceedings of the ENTERprise Information Systems - International Conference, 2011

Virtual Fitting Room Augmented Reality Techniques for e-Commerce.
Proceedings of the ENTERprise Information Systems - International Conference, 2011

Location-Based Service for a Social Network with Time and Space Information.
Proceedings of the ENTERprise Information Systems - International Conference, 2011

Mobile Multimedia Visiting Guide to Knowledge and Experiences Sharing.
Proceedings of the ENTERprise Information Systems - International Conference, 2011

2010
Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques
Studies in Computational Intelligence 255, Springer, ISBN: 978-3-642-04532-5, 2010

Distributed Text Classification With an Ensemble Kernel-Based Learning Approach.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge.
Proceedings of the International Joint Conference on Neural Networks, 2010

Financial distress model prediction using SVM+.
Proceedings of the International Joint Conference on Neural Networks, 2010

High-performance bankruptcy prediction model using Graphics Processing Units.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Improving Text Classification Performance with Incremental Background Knowledge.
Proceedings of the Artificial Neural Networks, 2009

2008
Towards Expanding Relevance Vector Machines to Large Scale Datasets.
Int. J. Neural Syst., 2008

Building resilient classifiers for LSB matching steganography.
Proceedings of the International Joint Conference on Neural Networks, 2008

Learning Manifolds for Bankruptcy Analysis.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Selecting Examples in Manifold Reduced Feature Space for Active Learning.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Distributed Ensemble Learning in Text Classification.
Proceedings of the ICEIS 2008, 2008

Text Classification on Embedded Manifolds.
Proceedings of the Advances in Artificial Intelligence, 2008

2007
On Text-based Mining with Active Learning and Background Knowledge Using SVM.
Soft Comput., 2007

Combining active learning and relevance vector machines for text classification.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Boosting RVM Classifiers for Large Data Sets.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Scaling Text Classification with Relevance Vector Machines.
Proceedings of the IEEE International Conference on Systems, 2006

Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Two-Level Hierarchical Hybrid SVM-RVM Classification Model.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

2005
Speeding-up text categorization in a grid computing environment.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2004
Margin-Based Active Learning and Background Knowledge in Text Mining.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

2003
Navigating mobile robots with a modular neural architecture.
Neural Comput. Appl., 2003

On the Evaluation of Text Processing in Text Categorization.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

An Inductive Inference Approach to Large Scale Text Categorisation.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

2000
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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