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ORCIDJoana Cósta
- > Home > Persons > Joana Cósta
Publications
- 2023
[c18]Dinis Costa
, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Improving Pest Detection via Transfer Learning. CIARP 2023: 105-116- [c17]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Enhancing Pest Detection Models Through Improved Annotations. EPIA (2) 2023: 364-375 - [c16]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Optimizing Object Detection Models via Active Learning. IbPRIA 2023: 82-93 - 2021
- [j6]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) - 2020
- [j5]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32(14): 10655-10667 (2020) - 2019
- [c15]Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) 2019: 383-393 - 2018
- [c14]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN 2018: 1-8 - [c13]Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Learning in Twitter Streams with 280 Character Tweets. SoCPaR 2018: 177-184 - [c12]Nelson Oliveira, Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR 2018: 185-193 - 2017
- [j4]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65: 336-345 (2017) - [c11]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA 2017: 13-21 - 2016
- [c10]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN 2016: 35-47 - 2015
- [c9]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
DOTS: Drift Oriented Tool System. ICONIP (4) 2015: 615-623 - [c8]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The impact of longstanding messages in micro-blogging classification. IJCNN 2015: 1-8 - [c7]Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro:
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data 2015: 208-215 - 2014
- [c6]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Concept Drift Awareness in Twitter Streams. ICMLA 2014: 294-299 - 2013
- [j3]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Customized crowds and active learning to improve classification. Expert Syst. Appl. 40(18): 7212-7219 (2013) - [c5]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA 2013: 226-235 - [c4]Joana Cósta, Catarina Silva, Bernardete Ribeiro, Mário Antunes:
CrowdTargeting: Making Crowds More Personal. SMAP 2013: 21-26 - 2011
- [c3]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The Importance of Precision in Humour Classification. IDEAL 2011: 271-278 - [c2]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
On using crowdsourcing and active learning to improve classification performance. ISDA 2011: 469-474 - [c1]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Get Your Jokes Right: Ask the Crowd. MEDI 2011: 178-185
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