Aline Paes

Orcid: 0000-0002-9089-7303

Affiliations:
  • Fluminense Federal University, Brazil


According to our database1, Aline Paes authored at least 80 papers between 2005 and 2025.

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Bibliography

2025
Game provenance graph-based representation learning vs metrics-based machine learning: An empirical comparison on predictive game analytics tasks.
Entertain. Comput., 2025

2024
Sentiment analysis in Portuguese tweets: an evaluation of diverse word representation models.
Lang. Resour. Evaluation, March, 2024

Word embeddings-based transfer learning for boosted relational dependency networks.
Mach. Learn., 2024

Less is more: Pruning BERTweet architecture in Twitter sentiment analysis.
Inf. Process. Manag., 2024

BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies?
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Comparative Analysis of Large Language Model Tools for Automated Test Data Generation from BDD.
Proceedings of the 38th Brazilian Symposium on Software Engineering, 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

A Multimodal Approach to Predict Video Popularity from a Large Streaming Service.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Encoding feature set information in heterogeneous graph neural networks for game provenance.
Appl. Intell., December, 2023

AIS-based maritime anomaly traffic detection: A review.
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

FLYPE: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media.
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

Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental.
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

Detecting Depression from Social Media Data as a Multiple-Instance Learning Task.
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

Learning multiple concepts in description logic through three perspectives.
Knowl. Eng. Rev., 2021

Online Deep Learning Hyperparameter Tuning based on Provenance Analysis.
J. Inf. Data Manag., 2021

Multimodal Provenance-based Analysis of Collaboration in Business Processes.
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

Screening for Depressed Individuals by Using Multimodal Social Media Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Transfer learning by mapping and revising boosted relational dependency networks.
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

Player Behavior Profiling through Provenance Graphs and Representation Learning.
Proceedings of the FDG '20: International Conference on the Foundations of Digital Games, 2020

2019
Online probabilistic theory revision from examples with ProPPR.
Mach. Learn., 2019

Querying XML documents using Prolog engines: When is this a good idea?
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

Learning How to Play Bomberman with Deep Reinforcement and Imitation Learning.
Proceedings of the Entertainment Computing and Serious Games, 2019

A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Towards Adaptive Deep Reinforcement Game Balancing.
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

Analysis of Static and Dynamic Infrared Images for Thyroid Nodules Investigation.
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

Lightweight Neural Programming: The GRPU.
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

On the formal characterization of the FORTE_MBC theory revision operators.
J. Log. Comput., 2017

Simulated Perceptions for Emergent Storytelling.
Comput. Intell., 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

Towards Deep Learning Invariant Pedestrian Detection by Data Enrichment.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Planning social actions through the others' eyes for emergent storytelling.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015
Perception simulation in social planning for emergent storytelling.
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
Evaluation between humans and affective NPC in digital gaming scenario.
Proceedings of the 3nd IEEE International Conference on Serious Games and Applications for Health, 2014

Syntactic Compression of Description Logics Terminologies.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
An Artificial Emotional Agent-Based Architecture for Games Simulation.
Proceedings of the Entertainment Computing - ICEC 2013 - 12th International Conference, 2013

Learning Multiple Description Logics Concepts.
Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

Terminology Learning through Taxonomy Discovery.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2009
Using the bottom clause and mode declarations in FOL theory revision from examples.
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
Revising First-Order Logic Theories from Examples Through Stochastic Local Search.
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

2006
ILP Through Propositionalization and Stochastic k-Term DNF Learning.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

PFORTE: Revising Probabilistic FOL Theories.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
Probabilistic First-Order Theory Revision from Examples.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005


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