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ORCIDCatarina Silva 0001
Catarina Helena Branco Simões da Silva
Person information
- affiliation: Escola Superior de Tecnologia e Gestao de Leiria, Portugal
- affiliation (former): University of Coimbra, Portugal
Other persons with the same name
- Catarina Silva — disambiguation page
- Catarina Silva 0002
![[0000-0001-6475-6622]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6475-6622")
— University of Lisbon, Department of Physics, Laboratory of Optics, Lasers and Systems, Portugal - Catarina Cruz Silva (aka: Catarina Silva 0003) — Unbabel, Lisboa, Portugal
- Catarina Silva 0004 — University of Aveiro, Aveiro, Portugal
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2020 – today
- 2024
[j14]Diogo Gaspar, Paulo Silva, Catarina Silva:
Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron. IEEE Access 12: 30164-30175 (2024)- [c80]Francisco Pais, Patrícia Ferreira, Catarina Silva, Ana Alves, Hugo Gonçalo Oliveira:
Question Answering for Dialogue State Tracking in Portuguese. PROPOR 2024: 461-471 - [c79]Patrícia Sofia Pereira Ferreira, Isabel Carvalho, Ana Alves, Catarina Silva, Hugo Gonçalo Oliveira:
Sentiment-Aware Dialogue Flow Discovery for Interpreting Communication Trends. SIGDIAL 2024: 274-288 - [i2]Patrícia Ferreira, Daniel Martins, Ana Alves, Catarina Silva, Hugo Gonçalo Oliveira:
Unsupervised Flow Discovery from Task-oriented Dialogues. CoRR abs/2405.01403 (2024) - [i1]Miguel Fernandes, Catarina Silva, Alberto Cardoso, Bernardete Ribeiro:
The Significance of Latent Data Divergence in Predicting System Degradation. CoRR abs/2406.12914 (2024) - 2023
- [j13]Isabel Carvalho, Hugo Gonçalo Oliveira, Catarina Silva:
The Importance of Context for Sentiment Analysis in Dialogues. IEEE Access 11: 86088-86103 (2023) - [c78]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Improving Pest Detection via Transfer Learning. CIARP 2023: 105-116 - [c77]Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Catarina Silva:
Leveraging Question Answering for Domain-Agnostic Information Extraction. CIARP 2023: 244-256 - [c76]Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro:
Forecasting Functional Time Series Using Federated Learning. EANN 2023: 491-504 - [c75]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: 599-606 - [c74]Catarina Silva, Tiago Faria, Bernardete Ribeiro:
Towards Interpretability in Fintech Applications via Knowledge Augmentation. EPIA (1) 2023: 106-117 - [c73]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Enhancing Pest Detection Models Through Improved Annotations. EPIA (2) 2023: 364-375 - [c72]Dinis Costa, Bruno Cardoso, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. exp.at 2023: 29-30 - [c71]José Pereira, Bruno Carlos Luís Ferreira, Ângela Laranjeiro, Bruno Caceiro, Hugo Amaro, Hugo Gonçalo Oliveira, Catarina Silva:
Safetydesk: Accelerating the Production of Toxicological Reports. exp.at 2023: 53-54 - [c70]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Smart Pest Detection in the Wild. exp.at 2023: 111-115 - [c69]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Optimizing Object Detection Models via Active Learning. IbPRIA 2023: 82-93 - [c68]João Cabral Pinto, Hugo Gonçalo Oliveira, Alberto Cardoso, Catarina Silva:
Generating Wildfire Heat Maps with Twitter and BERT. IDEAL 2023: 82-94 - [e3]Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14115, Springer 2023, ISBN 978-3-031-49007-1 [contents] - [e2]Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14116, Springer 2023, ISBN 978-3-031-49010-1 [contents] - 2022
- [c67]Catarina Silva, António Morais, Bernardete Ribeiro:
A Generic Approach to Extend Interpretability of Deep Networks. EPIA 2022: 488-499 - [c66]Isabel Carvalho, Hugo Gonçalo Oliveira, Catarina Silva:
Sentiment Analysis in Portuguese Dialogues. IberSPEECH 2022: 176-180 - [c65]Hugo Gonçalo Oliveira, Patrícia Ferreira, Daniel Martins, Catarina Silva, Ana Alves:
A Brief Survey of Textual Dialogue Corpora. LREC 2022: 1264-1274 - [c64]Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva:
Question Answering For Toxicological Information Extraction. SLATE 2022: 3:1-3:10 - [c63]Hugo Gonçalo Oliveira, Sara Inácio, Catarina Silva:
Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs. SLATE 2022: 19:1-19:11 - 2021
- [j12]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): 5162 (2021) - [c62]Tiago Faria, Catarina Silva, Bernardete Ribeiro:
Interpreting Decision Patterns in Financial Applications. CIARP 2021: 291-300 - [c61]Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro:
Decay Momentum for Improving Federated Learning. ESANN 2021 - 2020
- [j11]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): 51-62 (2020) - [j10]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32(14): 10655-10667 (2020) - [c60]Raúl Llasag Rosero, Carlos Grilo, Catarina Silva:
Deep Learning with Real-Time Inference for Human Detection in Search and Rescue. ISDA 2020: 247-257 - [e1]Ana Maria Madureira, Ajith Abraham, Niketa Gandhi, Catarina Silva, Mário Antunes:
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, SoCPaR 2018, Porto, Portugal, December 13-15, 2018. Advances in Intelligent Systems and Computing 942, Springer 2020, ISBN 978-3-030-17064-6 [contents]
2010 – 2019
- 2019
- [c59]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: 270-271 - [c58]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: 320-325 - [c57]Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) 2019: 383-393 - 2018
- [c56]Lizeth Chandi, Catarina Silva, Tatiana Gualotuña, Danilo Martínez:
Model for Selecting Software Development Methodology. ICITS 2018: 62-73 - [c55]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN 2018: 1-8 - [c54]Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Learning in Twitter Streams with 280 Character Tweets. SoCPaR 2018: 177-184 - [c53]Nelson Oliveira, Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR 2018: 185-193 - [c52]Cláudio A. D. Silva, Carlos Grilo, Catarina Silva:
Server Load Prediction on Wikipedia Traffic: Influence of Granularity and Time Window. SoCPaR 2018: 207-216 - 2017
- [j9]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65: 336-345 (2017) - [c51]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA 2017: 13-21 - [c50]Rafael Vieira, Mário Antunes, Catarina Silva, Ana Assis:
Automatic Documents Counterfeit Classification Using Image Processing and Analysis. IbPRIA 2017: 400-407 - 2016
- [c49]Mário Antunes, Catarina Silva, Joaquim Barranca:
A Telemedicine Application Using WebRTC. CENTERIS/ProjMAN/HCist 2016: 414-420 - [c48]Rafael Vieira, Catarina Silva, Mário Antunes, Ana Assis:
Information System for Automation of Counterfeited Documents Images Correlation. CENTERIS/ProjMAN/HCist 2016: 421-428 - [c47]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN 2016: 35-47 - [c46]Catarina Silva, Bernardete Ribeiro:
Visualization of Individual Ensemble Classifier Contributions. IPMU (2) 2016: 633-642 - [c45]Catarina Silva, Bernardete Ribeiro:
Multiclass Ensemble of One-against-all SVM Classifiers. ISNN 2016: 531-539 - 2015
- [j8]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): 1-18 (2015) - [c44]Jorge Madeira, Catarina Silva, Luís Marcelino, Paula Ferreira:
Assistive Mobile Applications for Dyslexia. CENTERIS/ProjMAN/HCist 2015: 417-424 - [c43]João Cunha, Catarina Silva, Mário Antunes:
Health Twitter Big Bata Management with Hadoop Framework. CENTERIS/ProjMAN/HCist 2015: 425-431 - [c42]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: 829-834 - [c41]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
DOTS: Drift Oriented Tool System. ICONIP (4) 2015: 615-623 - [c40]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The impact of longstanding messages in micro-blogging classification. IJCNN 2015: 1-8 - [c39]Bernardete Ribeiro, Noel Lopes, Catarina Silva:
Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. IJCNN 2015: 1-6 - [c38]Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro:
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data 2015: 208-215 - 2014
- [j7]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): 907-923 (2014) - [c37]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Concept Drift Awareness in Twitter Streams. ICMLA 2014: 294-299 - [c36]Sílvia Martins, Catarina Silva, Luis Marcelino:
Mobile Games for Children. WorldCIST (2) 2014: 455-464 - 2013
- [j6]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Customized crowds and active learning to improve classification. Expert Syst. Appl. 40(18): 7212-7219 (2013) - [c35]Luís Pereira, Rui Rijo, Catarina Silva, Margarida Agostinho:
Using text mining to diagnose and classify epilepsy in children. Healthcom 2013: 345-349 - [c34]Rui Costa, Luis Marcelino, Catarina Silva:
Profile-based system for nutritional information management. Healthcom 2013: 638-642 - [c33]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA 2013: 226-235 - [c32]Joana Cósta, Catarina Silva, Bernardete Ribeiro, Mário Antunes:
CrowdTargeting: Making Crowds More Personal. SMAP 2013: 21-26 - 2012
- [j5]Bernardete Ribeiro, Catarina Silva, Ning Chen, Armando Vieira, João Carvalho das Neves:
Enhanced default risk models with SVM+. Expert Syst. Appl. 39(11): 10140-10152 (2012) - 2011
- [c31]Francisco Pereira, Catarina Silva, Mário Alves:
Virtual Fitting Room Augmented Reality Techniques for e-Commerce. CENTERIS (2) 2011: 62-71 - [c30]Ana Filipa Nogueira, Catarina Silva:
Location-Based Service for a Social Network with Time and Space Information. CENTERIS (2) 2011: 130-140 - [c29]António Miguel Ribeiro, Rui Pedro Costa, Luís Marcelino, Catarina Silva:
Citizens@City Mobile Application for Urban Problem Reporting. CENTERIS (2) 2011: 141-150 - [c28]Diogo Lopes, Miguel Pragosa, Catarina Silva, Luís Marcelino:
Mobile Multimedia Visiting Guide to Knowledge and Experiences Sharing. CENTERIS (2) 2011: 151-161 - [c27]Mário Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia:
A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) 2011: 342-352 - [c26]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The Importance of Precision in Humour Classification. IDEAL 2011: 271-278 - [c25]Catarina Silva, Bernardete Ribeiro:
Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. IDEAL 2011: 394-402 - [c24]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
On using crowdsourcing and active learning to improve classification performance. ISDA 2011: 469-474 - [c23]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Get Your Jokes Right: Ask the Crowd. MEDI 2011: 178-185 - 2010
- [b1]Catarina Silva, Bernardete Ribeiro:
Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques. Studies in Computational Intelligence 255, Springer 2010, ISBN 978-3-642-04532-5 - [j4]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): 287-297 (2010) - [c22]Bernardete Ribeiro, Noel Lopes, Catarina Silva:
High-performance bankruptcy prediction model using Graphics Processing Units. IJCNN 2010: 1-7 - [c21]Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves:
Financial distress model prediction using SVM+. IJCNN 2010: 1-7 - [c20]Catarina Silva, Bernardete Ribeiro, Noel Lopes:
Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c19]Catarina Silva, Bernardete Ribeiro:
Improving Text Classification Performance with Incremental Background Knowledge. ICANN (1) 2009: 923-931 - [c18]Catarina Silva, Bernardete Ribeiro:
Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. ICANNGA 2009: 370-379 - [c17]Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves:
Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA 2009: 537-547 - [c16]Catarina Silva, Bernardete Ribeiro:
Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. IDEAL 2009: 300-308 - 2008
- [j3]Catarina Silva, Bernardete Ribeiro:
Towards Expanding Relevance Vector Machines to Large Scale Datasets. Int. J. Neural Syst. 18(1): 45-58 (2008) - [c15]Catarina Silva, Bernardete Ribeiro:
Text Classification on Embedded Manifolds. IBERAMIA 2008: 272-281 - [c14]Catarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar:
Distributed Ensemble Learning in Text Classification. ICEIS (2) 2008: 420-423 - [c13]Catarina Silva, Bernardete Ribeiro:
Selecting Examples in Manifold Reduced Feature Space for Active Learning. ICMLA 2008: 54-59 - [c12]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: 723-730 - [c11]Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung:
Building resilient classifiers for LSB matching steganography. IJCNN 2008: 1562-1567 - 2007
- [j2]Catarina Silva, Bernardete Ribeiro:
On Text-based Mining with Active Learning and Background Knowledge Using SVM. Soft Comput. 11(6): 519-530 (2007) - [c10]Catarina Silva, Bernardete Ribeiro, Andrew H. Sung:
Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) 2007: 228-237 - [c9]Catarina Silva, Bernardete Ribeiro:
Combining active learning and relevance vector machines for text classification. ICMLA 2007: 130-135 - 2006
- [c8]Catarina Silva, Bernardete Ribeiro:
Two-Level Hierarchical Hybrid SVM-RVM Classification Model. ICMLA 2006: 89-94 - [c7]Catarina Silva, Bernardete Ribeiro:
Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. IDEAL 2006: 878-886 - [c6]Catarina Silva, Bernardete Ribeiro:
Scaling Text Classification with Relevance Vector Machines. SMC 2006: 4186-4191 - 2005
- [c5]Catarina Silva, Bernardete Ribeiro, Uros Lotric:
Speeding-up text categorization in a grid computing environment. ICMLA 2005 - 2004
- [c4]Catarina Silva, Bernardete Ribeiro:
Margin-Based Active Learning and Background Knowledge in Text Mining. HIS 2004: 8-13 - 2003
- [j1]Catarina Silva, Bernardete Ribeiro:
Navigating mobile robots with a modular neural architecture. Neural Comput. Appl. 12(3-4): 200-211 (2003) - [c3]Catarina Silva, Bernardete Ribeiro:
An Inductive Inference Approach to Large Scale Text Categorisation. ICANNGA 2003: 126-130 - [c2]Catarina Silva, Bernardete Ribeiro:
On the Evaluation of Text Processing in Text Categorization. ICMLA 2003: 121-127 - 2000
- [c1]Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro:
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. IJCNN (6) 2000: 334-342
Coauthor Index
[i1] [c78] [c76] [c74] [c73] [c72] [c70] [c69] [c67] [c62] [c61] [j11] [j10] [c59] [c58] [c57] [c55] [c54] [c53] [j9] [c51] [c47] [c46] [c45] [c41] [c40] [c39] [c38] [c37] [j6] [c33] [c32] [j5] [c27] [c26] [c25] [c24] [c23] [b1] [j4] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j3] [c15] [c14] [c13] [c12] [c11] [j2] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [j1] [c3] [c2] [c1]
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