Aline Paes

Publication Activity (10 Years)

Years Active: 2005-2025
Publications (10 Years): 69

Top Topics

Streaming Services

Transfer Learning

Theory Revision

Top Venues

Publications

Sidney Araujo Melo, Leonardo Thurler, Aline Paes, Esteban Clua
Game provenance graph-based representation learning vs metrics-based machine learning: An empirical comparison on predictive game analytics tasks. Entertain. Comput. 52 (2025)
Ricardo Moura, Jonnathan Carvalho, Alexandre Plastino, Aline Paes
Less is more: Pruning BERTweet architecture in Twitter sentiment analysis. Inf. Process. Manag. 61 (4) (2024)
Daniela Vianna, Fernando Carneiro, Jonnathan Carvalho, Alexandre Plastino, Aline Paes
Sentiment analysis in Portuguese tweets: an evaluation of diverse word representation models. Lang. Resour. Evaluation 58 (1) (2024)
Arthur Scalercio, Maria José Finatto, Aline Paes
Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features. ACL (Findings) (2024)
João Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo
Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. CBMS (2024)
Thais Luca, Aline Paes, Gerson Zaverucha
Word embeddings-based transfer learning for boosted relational dependency networks. Mach. Learn. 113 (3) (2024)
Gabriel Assis, Annie Amorim, Jonnatahn Carvalho, Daniel de Oliveira, Daniela Q. C. Vianna, Aline Paes
Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models? PROPOR (2024)
Elbe Miranda, Aline Paes, Daniel de Oliveira
SPARQL can also talk in Portuguese: answering natural language questions with knowledge graphs. PROPOR (2024)
Bohua Peng, Chengfu Wu, Wei He, William Thorne, Aline Villavicencio, Yujin Wang, Aline Paes
FLYPE: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media. MUWS@CIKM (2023)
Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino
Sentiment analysis in tweets: an assessment study from classical to modern word representation models. Data Min. Knowl. Discov. 37 (1) (2023)
Arthur B. Vasconcelos, Lúcia Maria de A. Drummond, Rafaela C. Brum, Aline Paes
Exploring Federated Learning to Trace Depression in Social Media with Language Models. SBAC-PADW (2023)
Sidney Araujo Melo, Luís Fernando Bicalho, Leonardo Camacho de Oliveira Joia, Jose Ricardo da Silva Junior, Esteban Clua, Aline Paes
Encoding feature set information in heterogeneous graph neural networks for game provenance. Appl. Intell. 53 (23) (2023)
Daniel da Silva Junior, Paulo Roberto dos S. Corval, Aline Paes, Daniel de Oliveira
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches. CoRR (2023)
Thais Luca, Aline Paes, Gerson Zaverucha
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. ILP (2023)
Claudio V. Ribeiro, Aline Paes, Daniel de Oliveira
AIS-based maritime anomaly traffic detection: A review. Expert Syst. Appl. 231 (2023)
Thais Luca, Aline Paes, Gerson Zaverucha
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. ILP (2022)
Vítor Lourenço, Aline Paes
Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs. Knowl. Based Syst. 251 (2022)
Patrick Blackman Sphaier, Aline Paes
User intent classification in noisy texts: an investigation on neural language models. Neural Comput. Appl. 34 (20) (2022)
Vítor Lourenço, Aline Paes
A Modality-level Explainable Framework for Misinformation Checking in Social Networks. CoRR (2022)
Paulo Mann, Elton H. Matsushima, Aline Paes
Detecting Depression from Social Media Data as a Multiple-Instance Learning Task. ACII (2022)
Annie Amorim, Nils Murrugarra-Llerena, Vítor Silva, Daniel de Oliveira, Aline Paes
Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental. SBBD (2022)
Vítor Lourenço, Aline Paes
Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs. CoRR (2022)
Jéssica Soares dos Santos, Flávia Bernardini, Aline Paes
Similarity-Based Dataset Recommendation Across Languages and Domains to Sentiment Analysis in the Electoral Domain. ePart (2022)
Leonardo Thurler, José Montes, Rodrigo Veloso, Aline Paes, Esteban Clua
AI Game Agents Based on Evolutionary Search and (Deep) Reinforcement Learning: A Practical Analysis with Flappy Bird. ICEC (2021)
Liliane N. O. Kunstmann, Débora B. Pina, Filipe Silva, Aline Paes, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso
Online Deep Learning Hyperparameter Tuning based on Provenance Analysis. J. Inf. Data Manag. 12 (5) (2021)
Maria Luiza Furtuozo Falci, Andréa Magalhães Magdaleno, Aline Paes, Vanessa Braganholo, Daniel de Oliveira
Multimodal Provenance-based Analysis of Collaboration in Business Processes. J. Inf. Data Manag. 12 (5) (2021)
Marcelo D'Almeida, Aline Paes, Daniel Mossé
Designing Reinforcement Learning Agents for Traffic Signal Control with the Right Goals: a Time-Loss based Approach. ITSC (2021)
André Nascimento, Vítor Silva, Aline Paes, Daniel de Oliveira
An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud. Concurr. Comput. Pract. Exp. 33 (11) (2021)
Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. ILP (2021)
Daniel Silva Junior, Esther Pacitti, Aline Paes, Daniel de Oliveira
Provenance-and machine learning-based recommendation of parameter values in scientific workflows. PeerJ Comput. Sci. 7 (2021)
Thais Luca, Aline Paes, Gerson Zaverucha
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. ILP (2021)
Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino
Sentiment analysis in tweets: an assessment study from classical to modern text representation models. CoRR (2021)
Raphael Melo, Kate Revoredo, Aline Paes
Learning multiple concepts in description logic through three perspectives. Knowl. Eng. Rev. 36 (2021)
Sidney Loyola de Sá, Aline Paes, Antônio A. de A. Rocha
Extracting Textual Features from Video Streaming Services Publications to Predict their Popularity. WebMedia (2021)
Jéssica Soares dos Santos, Flávia Bernardini, Aline Paes
A survey on the use of data and opinion mining in social media to political electoral outcomes prediction. Soc. Netw. Anal. Min. 11 (1) (2021)
Sidney Loyola de Sá, Antônio A. de A. Rocha, Aline Paes
Predicting Popularity of Video Streaming Services with Representation Learning: A Survey and a Real-World Case Study. Sensors 21 (21) (2021)
Paulo Mann, Aline Paes, Elton H. Matsushima
Screening for Depressed Individuals by Using Multimodal Social Media Data. AAAI (2021)
Rodrigo Azevedo Santos, Aline Paes, Gerson Zaverucha
Transfer learning by mapping and revising boosted relational dependency networks. Mach. Learn. 109 (7) (2020)
Pablo Carvalho, Esteban Clua, Aline Paes, Cristiana Bentes, Bruno Lopes, Lúcia Maria de A. Drummond
Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs. Future Gener. Comput. Syst. 113 (2020)
Maria Luiza Furtuozo Falci, Andréa Magalhães Magdaleno, Vanessa Braganholo, Aline Paes, Daniel de Oliveira
Análise de Colaboração em Processos de Negócio por meio de SGBDs de Grafos e Dados de Proveniência Multimodais. SBBD (2020)
Paulo Mann, Aline Paes, Elton H. Matsushima
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data. ICWSM (2020)
Sidney Araujo Melo, Troy C. Kohwalter, Esteban Clua, Aline Paes, Leonardo Murta
Player Behavior Profiling through Provenance Graphs and Representation Learning. FDG (2020)
José R. González, Aura Conci, Maira Beatriz Hernandez Moran, Adriel S. Araujo, Aline Paes, Charbel Damião, W. G. Fiirst
Analysis of Static and Dynamic Infrared Images for Thyroid Nodules Investigation. AICCSA (2019)
Débora B. Pina, Liliane Neves, Aline Paes, Daniel de Oliveira, Marta Mattoso
Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência. SBBD (2019)
Victor Guimarães, Aline Paes, Gerson Zaverucha
Online probabilistic theory revision from examples with ProPPR. Mach. Learn. 108 (7) (2019)
André Nascimento, Victor Olimpio, Vítor Silva, Aline Paes, Daniel de Oliveira
A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows. IPDPS Workshops (2019)
Jéssica Soares dos Santos, Aline Paes, Flávia Bernardini
Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment. BRACIS (2019)
Fábio G. Santos, Leonardo Machado, Rafael de Araújo M. Pinheiro, Aline Paes, Vanessa Braganholo
Querying XML documents using Prolog engines: When is this a good idea? Inf. Process. Manag. 56 (5) (2019)
Ashey Noblega, Aline Paes, Esteban Clua
Towards Adaptive Deep Reinforcement Game Balancing. ICAART (2) (2019)
Ícaro Goulart, Aline Paes, Esteban Clua
Learning How to Play Bomberman with Deep Reinforcement and Imitation Learning. ICEC-JCSG (2019)
Paulo Mann, Aline Paes, Elton H. Matsushima
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data. CoRR (2019)
Sidney Araujo Melo, Aline Paes, Esteban Walter Gonzalez Clua, Troy Costa Kohwalter, Leonardo Gresta Paulino Murta
Detecting long-range cause-effect relationships in game provenance graphs with graph-based representation learning. Entertain. Comput. 32 (2019)
Leticia Duboc, Raquel Mendonça, Jessica Salvador, Aline Paes
A Vision Towards a Method for Identifying and Mitigating Unsustainable Practices in Organisations. RE4SuSy@RE (2019)
Roosevelt Sardinha, Aline Paes, Gerson Zaverucha
Revising the structure of Bayesian network classifiers in the presence of missing data. Inf. Sci. (2018)
Vítor Lourenço, Paulo Mann, Artur Guimaraes, Aline Paes, Daniel de Oliveira
Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning. IJCNN (2018)
Felipe Carregosa, Aline Paes, Gerson Zaverucha
Lightweight Neural Programming: The GRPU. ICANN (3) (2018)
Daniel Silva Jr., Aline Paes, Esther Pacitti, Daniel de Oliveira
FReeP: towards Parameter Recommendation in Scientific Workflows using Preference Learning. SBBD (2018)
David B. Carvalho, Esteban Walter Gonzalez Clua, Cesar Tadeu Pozzer, Erick Baptista Passos, Aline Paes
Simulated Perceptions for Emergent Storytelling. Comput. Intell. 33 (4) (2017)
Aline Paes, Gerson Zaverucha, Vítor Santos Costa
On the use of stochastic local search techniques to revise first-order logic theories from examples. Mach. Learn. 106 (2) (2017)
Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
On the formal characterization of the FORTE_MBC theory revision operators. J. Log. Comput. 27 (8) (2017)
Marcos Kalinowski, Pablo Curty, Aline Paes, Alexandre Ferreira, Rodrigo O. Spínola, Daniel Méndez Fernández, Michael Felderer, Stefan Wagner
Supporting Defect Causal Analysis in Practice with Cross-Company Data on Causes of Requirements Engineering Problems. ICSE-SEIP (2017)
Marcos Kalinowski, Pablo Curty, Aline Paes, Alexandre Ferreira, Rodrigo O. Spínola, Daniel Méndez Fernández, Michael Felderer, Stefan Wagner
Supporting Defect Causal Analysis in Practice with Cross-Company Data on Causes of Requirements Engineering Problems. CoRR (2017)
Gustavo Tallarida, Kary A. C. S. Ocaña, Aline Paes, Vanessa Braganholo, Daniel de Oliveira
Gerência de Incerteza em Bancos de Dados de Proveniência de Workflows de Bioinformática. SBBD (2016)
David B. Carvalho, Esteban Walter Gonzalez Clua, Aline Paes
Planning social actions through the others' eyes for emergent storytelling. CIG (2016)
Cristina Nader Vasconcelos, Aline Paes, Anselmo Antunes Montenegro
Towards Deep Learning Invariant Pedestrian Detection by Data Enrichment. ICMLA (2016)
Vítor N. Lourenço, Paulo Mann, Aline Paes, Daniel Oliveira
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]. SBSI (2016)
David B. Carvalho, Esteban Walter Gonzalez Clua, Aline Paes
Perception simulation in social planning for emergent storytelling. CIG (2015)
Aline Paes, Daniel de Oliveira
Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks. CARLA (2015)
Victor Guimarães, Aline Paes
Looking at the Bottom and the Top: A Hybrid Logical Relational Learning System Based on Answer Sets. BRACIS (2015)
Rainier Sales, Esteban Clua, Daniel de Oliveira, Aline Paes, Luiz Chaimowicz, Maria Augusta Silveira Netto Nunes
Evaluation between humans and affective NPC in digital gaming scenario. SeGAH (2014)
Raphael Melo, Kate Revoredo, Aline Paes
Terminology Learning through Taxonomy Discovery. BRACIS (2013)
Raphael Melo, Kate Revoredo, Aline Paes
Learning Multiple Description Logics Concepts. ILP (Late Breaking Papers) (2013)
Rainier Sales, Esteban Clua, Daniel de Oliveira, Aline Paes
An Artificial Emotional Agent-Based Architecture for Games Simulation. ICEC (2013)
Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
Using the bottom clause and mode declarations in FOL theory revision from examples. Mach. Learn. 76 (1) (2009)
Stephen Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. ILP (2009)
Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. ILP (2008)
Aline Paes, Gerson Zaverucha, Vítor Santos Costa
Revising First-Order Logic Theories from Examples Through Stochastic Local Search. ILP (2007)
Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP (2006)
Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
PFORTE: Revising Probabilistic FOL Theories. IBERAMIA-SBIA (2006)
Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
Probabilistic First-Order Theory Revision from Examples. ILP (2005)