Aline Paes
Orcid: 0000-0002-9089-7303Affiliations:
- Fluminense Federal University, Brazil
According to our database1,
Aline Paes
authored at least 73 papers
between 2005 and 2024.
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Bibliography
2024
Sentiment analysis in Portuguese tweets: an evaluation of diverse word representation models.
Lang. Resour. Evaluation, March, 2024
Mach. Learn., 2024
SPARQL can also talk in Portuguese: answering natural language questions with knowledge graphs.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024
Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models?
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024
2023
Encoding feature set information in heterogeneous graph neural networks for game provenance.
Appl. Intell., December, 2023
Expert Syst. Appl., November, 2023
Sentiment analysis in tweets: an assessment study from classical to modern word representation models.
Data Min. Knowl. Discov., 2023
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches.
CoRR, 2023
Exploring Federated Learning to Trace Depression in Social Media with Language Models.
Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 2023
Proceedings of the 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media co-located with the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning.
Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023
2022
User intent classification in noisy texts: an investigation on neural language models.
Neural Comput. Appl., 2022
Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs.
Knowl. Based Syst., 2022
A Modality-level Explainable Framework for Misinformation Checking in Social Networks.
CoRR, 2022
Proceedings of the 37th Brazilian Symposium on Databases, 2022
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains.
Proceedings of the Inductive Logic Programming - 31st International Conference, 2022
Similarity-Based Dataset Recommendation Across Languages and Domains to Sentiment Analysis in the Electoral Domain.
Proceedings of the Electronic Participation - 14th IFIP WG 8.5 International Conference, 2022
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022
2021
A survey on the use of data and opinion mining in social media to political electoral outcomes prediction.
Soc. Netw. Anal. Min., 2021
Predicting Popularity of Video Streaming Services with Representation Learning: A Survey and a Real-World Case Study.
Sensors, 2021
Provenance-and machine learning-based recommendation of parameter values in scientific workflows.
PeerJ Comput. Sci., 2021
Knowl. Eng. Rev., 2021
J. Inf. Data Manag., 2021
J. Inf. Data Manag., 2021
Sentiment analysis in tweets: an assessment study from classical to modern text representation models.
CoRR, 2021
An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud.
Concurr. Comput. Pract. Exp., 2021
Extracting Textual Features from Video Streaming Services Publications to Predict their Popularity.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
AI Game Agents Based on Evolutionary Search and (Deep) Reinforcement Learning: A Practical Analysis with Flappy Bird.
Proceedings of the Entertainment Computing - ICEC 2021, 2021
Designing Reinforcement Learning Agents for Traffic Signal Control with the Right Goals: a Time-Loss based Approach.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Mach. Learn., 2020
Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs.
Future Gener. Comput. Syst., 2020
Análise de Colaboração em Processos de Negócio por meio de SGBDs de Grafos e Dados de Proveniência Multimodais.
Proceedings of the 35th Brazilian Symposium on Databases, 2020
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
Proceedings of the FDG '20: International Conference on the Foundations of Digital Games, 2020
2019
Inf. Process. Manag., 2019
Detecting long-range cause-effect relationships in game provenance graphs with graph-based representation learning.
Entertain. Comput., 2019
Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência.
Proceedings of the 34th Brazilian Symposium on Databases, 2019
A Vision Towards a Method for Identifying and Mitigating Unsustainable Practices in Organisations.
Proceedings of the 8th International Workshop on Requirements Engineering for Sustainable Systems co-located with 27th International Conference on Requirements Engineering, 2019
Proceedings of the Entertainment Computing and Serious Games, 2019
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019
Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
2018
Revising the structure of Bayesian network classifiers in the presence of missing data.
Inf. Sci., 2018
FReeP: towards Parameter Recommendation in Scientific Workflows using Preference Learning.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018
Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
On the use of stochastic local search techniques to revise first-order logic theories from examples.
Mach. Learn., 2017
J. Log. Comput., 2017
Supporting Defect Causal Analysis in Practice with Cross-Company Data on Causes of Requirements Engineering Problems.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017
2016
SiAPP: Um Sistema para Análise de Ocorrências de Crimes Baseado em Aprendizado Lógico-Relacional [SiAPP: An Information System for Crime Analytics Based on Logical Relational Learning].
Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016
Gerência de Incerteza em Bancos de Dados de Proveniência de Workflows de Bioinformática.
Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016
2015
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015
Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks.
Proceedings of the High Performance Computing - Second Latin American Conference, 2015
Looking at the Bottom and the Top: A Hybrid Logical Relational Learning System Based on Answer Sets.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
Proceedings of the 3nd IEEE International Conference on Serious Games and Applications for Health, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Proceedings of the Entertainment Computing - ICEC 2013 - 12th International Conference, 2013
Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2009
Mach. Learn., 2009
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009
2007
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007
2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
2005
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005