Aline Marins Paes Carvalho
Formação:
-
Universidade Federal do Rio de Janeiro
| Pós-Doutorado | 2012 - 2013
-
Universidade Federal do Rio de Janeiro
Engenharia de Sistemas e Computação | Doutorado | 2005 - 2011
-
Universidade Federal do Rio de Janeiro
Engenharia de Sistemas e Computação | Mestrado | 2003 - 2005
-
Universidade do Estado do Rio de Janeiro
Bacharel em Informática e Tecnologia da Informação | Graduação | 1999 - 2003
Laboratórios:
Nenhum laboratório cadastrado
Nuvens de Palavras:
Artigos:
(93.75% artigos com DOI)
| Titulo | DOI | Ano |
|---|---|---|
| Confronting misinformation related to health and the environment: a systematic review | 10.22323/2.23010901 | 2024 |
| Less is more: Pruning BERTweet architecture in Twitter sentiment analysis | 10.1016/j.ipm.2024.103688 | 2024 |
| Word embeddings-based transfer learning for boosted relational dependency networks | 10.1007/s10994-023-06404-y | 2024 |
| Sentiment analysis in Portuguese tweets: an evaluation of diverse word representation models | 10.1007/s10579-023-09661-4 | 2024 |
| Datasets for Portuguese Legal Semantic Textual Similarity | 10.5753/jidm.2024.3564 | 2024 |
| Sentiment analysis in tweets: exploring instance-based transfer learning for dataset enrichment | 10.5753/jidm.2022.2564 | 2023 |
| Sentiment analysis in tweets: an assessment study from classical to modern word representation models | 10.1007/s10618-022-00853-0 | 2023 |
| Abordagem baseada em Aumento de Dados para Avaliação Automática de Leiturabilidade | 10.14393/DLv17a2023-21 | 2023 |
| AIS-based maritime anomaly traffic detection: A review | 10.1016/j.eswa.2023.120561 | 2023 |
| Encoding feature set information in heterogeneous graph neural networks for game provenance | 10.1007/s10489-023-04835-7 | 2023 |
| User intent classification in noisy texts: an investigation on neural language models | 10.1007/s00521-022-07383-2 | 2022 |
| Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs | 10.1016/j.knosys.2022.109232 | 2022 |
| Learning multiple concepts in description logic through three perspectives | 10.1017/S0269888921000059 | 2021 |
| An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud | 10.1002/cpe.6193 | 2021 |
| Provenance-and machine learning-based recommendation of parameter values in scientific workflows | 10.7717/peerj-cs.606 | 2021 |
| Multimodal Provenance-based Analysis of Collaboration in Business Processes | 10.5753/jidm.2021.1923 | 2021 |
| A survey on the use of data and opinion mining in social media to political electoral outcomes prediction | 10.1007/s13278-021-00813-4 | 2021 |
| Predicting Popularity of Video Streaming Services with Representation Learning: a survey and a real-world case study | 10.3390/s21217328 | 2021 |
| Online Deep Learning Hyperparameter Tuning based on Provenance Analysis | 10.5753/jidm.2021.1924 | 2021 |
| Transfer learning by mapping and revising boosted relational dependency networks | 10.1007/s10994-020-05871-x | 2020 |
| Infodemia, Fake News and Medicine: Science and The Quest for Truth | 10.36660/ijcs.20200073 | 2020 |
| Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs | 10.1016/j.future.2020.07.038 | 2020 |
| Online probabilistic theory revision from examples with ProPPR | 10.1007/s10994-019-05798-y | 2019 |
| Querying XML documents using Prolog engines: When is this a good idea? | 10.1016/j.ipm.2019.05.011 | 2019 |
| Detecting long-range cause-effect relationships in game provenance graphs with graph-based representation learning | 10.1016/j.entcom.2019.100318 | 2019 |
| Revising the Structure of Bayesian Network Classifiers in the Presence of Missing Data | 10.1016/j.ins.2018.02.011 | 2018 |
| Simulated Perceptions for Emergent Storytelling | 10.1111/coin.12088 | 2017 |
| On the formal characterization of the FORTE_MBC theory revision operators | 10.1093/logcom/exx015 | 2017 |
| On the use of stochastic local search techniques to revise first-order logic theories from examples | 10.1007/s10994-016-5595-3 | 2017 |
| Running Multi-relational Data Mining Processes in the Cloud: a Practical Approach for Social Networks | 2015 | |
| Experiencing Affective Agents in Simulation Games | 2014 | |
| Using the bottom clause and mode declarations in FOL theory revision from examples | 10.1007/s10994-009-5116-8 | 2009 |
Eventos:
(43.30% eventos com DOI)
| Titulo | DOI | Ano |
|---|---|---|
| Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models? | 2024 | |
| Can SPARQL talk in Portuguese? Answering Natural Language Questions with Knowledge Graphs | 2024 | |
| Analysis of Material Facts on Financial Assets: a Generative AI Approach | 2024 | |
| Challenging Linguistic and Cultural Diversity: Evaluation of AI Models in the Detection of Hate Speech in Brazilian Social Networks | 2024 | |
| Exploring Portuguese Hate Speech Detection with Transformers | 2024 | |
| A big ant or a small elephant: metaphor interpretation on large language models | 2024 | |
| BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies? | 2024 | |
| Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval | 2024 | |
| Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features | 2024 | |
| A Multimodal Approach to Predict Video Popularity from a Large Streaming Service | 2024 | |
| PANDORA: Uma Plataforma Colaborativa para Transcrição Semiautomática de Boletins de Ocorrência Manuscritos | 10.5753/sbsc.2023.229066 | 2023 |
| ALTES: uma Ferramenta de Rotulação Automática de Tópicos a partir de Fontes Externas | 10.5753/sbbd_estendido.2023.233252 | 2023 |
| Pluv-Web: um Gateway Científico Orientado a Dados para Análise e Monitoramento de Chuvas na Cidade de Niterói | 10.5753/sbbd_estendido.2023.233224 | 2023 |
| INSTRUCTOR: uma Ferramenta para Análise de Trajetórias Anômalas de Navios por Meio de Algoritmos de Agrupamento | 10.5753/sbbd_estendido.2023.233222 | 2023 |
| LHTR.br: em Busca de um Conjunto Anotado de Textos Manuscritos em Português | 2023 | |
| Exploring Federated Learning to Trace Depression in Social Media with Language Models | 2023 | |
| Detecção de Depressão nas Mídias Sociais usando Transformers com Aprendizado Federado. | 2023 | |
| Select first, transfer later: an approach for choosing proper datasets to statistical relational transfer learning | 10.1007/978-3-031-49299-0_5 | 2023 |
| FLYPE\emoji{cyclone}: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media | 2023 | |
| Detecting Depression from Social Media Data as a Multiple-Instance Learning Task | 10.1109/ACII55700.2022.9953811 | 2022 |
| Similarity-based Dataset Recommendation across Languages and Domains to Sentiment Analysis in the Electoral Domain | 10.1007/978-3-031-23213-8\_7 | 2022 |
| Combining word embeddings-based similarity measures for transfer learning across relational domains | 2022 | |
| Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental | 10.5753/sbbd.2022.224314 | 2022 |
| @WeatherNit: uma Plataforma Orientada a Dados para Monitoramento de Chuvas e Ocorrências de Eventos Climáticos | 10.5753/sbbd_estendido.2022.21867 | 2022 |
| Criação de Conjuntos de Dados Textuais Jurídicos em Português a partir de Processo de Extração e Heurística | 2022 | |
| A Modality-level Explainable Framework for Misinformation Checking in Social Networks | 10.48550/arXiv.2212.04272 | 2022 |
| Heterogeneous Graph Dataset with Feature Set Intersection through Game Provenance | 2021 | |
| Measuring the Degree of Divergence when Labeling Tweets in the Electoral Scenario | 10.5753/brasnam.2021.16131 | 2021 |
| Designing Reinforcement Learning Agents for Traffic Signal Control with the Right Goals: a Time-Loss based Approach | 10.1109/ITSC48978.2021.9564731 | 2021 |
| Extracting Textual Features from Video Streaming Services Publications to Predict their Popularity | 10.1145/3470482.3479624 | 2021 |
| AI Game Agents based on Evolutionary Search and (Deep) Reinforcement Learning: a Practical Analysis with Flappy Bird | 10.1007/978-3-030-89394-1\_15 | 2021 |
| Transfer learning for boosted relational dependency networks through genetic algorithm | 10.1007/978-3-030-97454-1\_9 | 2021 |
| Mapping across relational domains for transfer learning with word embeddings-based similarity | 10.1007/978-3-030-97454-1\_12 | 2021 |
| Screening for Depressed Individuals by Using Multimodal Social Media Data | 2021 | |
| Enriching datasets for sentiment analysis in tweets with instance selection | 10.5753/kdmile.2021.17463 | 2021 |
| Exploring model transfer strategies for sentiment analysis in Twitter | 10.5753/eniac.2021.18236 | 2021 |
| See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data | 2020 | |
| Player Behavior Profiling through Provenance Graphs and Representation Learning | 10.1145/3402942.3402961 | 2020 |
| Augmenting Linguistic Semi-Structured Data for Machine Learning - A Case Study using Framenet | 10.5121/csit.2020.101201 | 2020 |
| Análise de Colaboração em Processos de Negócio por meio de SGBDs de Grafos e Dados de Proveniência Multimodais | 10.5753/sbbd.2020.13636 | 2020 |
| Transfer learning for Twitter sentiment analysis: Choosing an effective source dataset | 10.5753/kdmile.2020.11972 | 2020 |
| Towards Adaptive Deep Reinforcement Game Balancing | 10.5220/0007395406930700 | 2019 |
| Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment | 10.1109/BRACIS.2019.00086 | 2019 |
| Learning how to play Bomberman with Deep Reinforcement and Imitation Learning | 10.1007/978-3-030-34644-7\_10 | 2019 |
| A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows | 10.1109/ipdpsw.2019.00134 | 2019 |
| Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência | 10.5753/sbbd.2019.8827 | 2019 |
| Analysis of Static and Dynamic Infrared Images for Thyroid Nodules Investigation | 10.1109/aiccsa47632.2019.9035300 | 2019 |
| Representation Learning in Game Provenance Graphs | 2019 | |
| Investigating Transfer Learning Approaches for Mining Opinions in the Electoral Domain | 2019 | |
| Towards Learning Better Representations for Completion of Real-World Knowledge Bases | 2019 | |
| See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data | 2019 | |
| A Vision Towards a Method for Identifying and Mitigating Unsustainable Practices in Organisations | 2019 | |
| Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning | 10.1109/ijcnn.2018.8489374 | 2018 |
| WorkflowSim4RL: Aprendizado por Reforço Aplicado a Escalonamento de Workflows Científicos em Nuvens | 2018 | |
| Lightweight Neural Programming: The GRPU Case | 10.1007/978-3-030-01424-7\_22 | 2018 |
| FReeP: towards parameter recommendation in scientific workflows using preference learning | 10.5753/sbbd.2018.22232 | 2018 |
| Análise da Evolução dos Discursos de Pré-candidatos à Presidente por meio de Representações Linguísticas Vetoriais | 2018 | |
| Supporting defect causal analysis in practice with cross-company data on causes of requirements engineering problems | 10.1109/ICSE-SEIP.2017.14 | 2017 |
| Predição de Falhas em Workflows Científicos em Nuvens baseada em Aprendizado de Máquina | 2017 | |
| SiAPP: Um Sistema para Análise de Ocorrências de Crimes Baseado em Aprendizado Lógico-Relacional | 2016 | |
| Planning social actions through the others' eyes for emergent storytelling | 10.1109/cig.2016.7860400 | 2016 |
| Gerência de Incerteza em Bancos de Dados de Proveniência em Bioinformática | 2016 | |
| Towards Deep Learning Invariant Pedestrian Detection by Data Enrichment | 10.1109/ICMLA.2016.0150 | 2016 |
| Pedestrian Detection using Convolutional Neural Networks | 2016 | |
| Looking at the Bottom and the Top: A Hybrid Logical Relational Learning System Based on Answer Sets | 10.1109/BRACIS.2015.34 | 2015 |
| Aplicação de Árvores de Decisão para Recomendação de Parâmetros em Workflows Científicos | 2015 | |
| Perception simulation in social planning for emergent storytelling | 10.1109/cig.2015.7317922 | 2015 |
| Evaluation between humans and affective NPC in digital gaming scenario | 10.1109/segah.2014.7067101 | 2014 |
| Uma Ferramenta para Mineração Multi-relacional de Redes Sociais Baseada em Programação Lógica e Workflows | 2014 | |
| Syntactic Compression of DL Terminologies | 2014 | |
| Terminology Learning through Taxonomy Discovery | 2013 | |
| An Artificial Emotional Agent-based Architecture for Games Simulation | 2013 | |
| Learning Multiple Description Logics Concepts | 2013 | |
| An Experimental Analysis of NPC as Affective Agents in Real World-based Games | 2013 | |
| An Architecture Coupled with a Provenance Model for Affective Simulations in Games based on Real World | 2013 | |
| Aprendizado Local da Estrutura de Redes Bayesianas a partir de Dados Incompletos | 2013 | |
| On the Effective Revision of (Bayesian) Logic Programs from Examples | 2012 | |
| Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples | 10.1007/978-3-642-13840-9 | 2010 |
| Revisando Redes Bayesianas através da Introdução de Variáveis Não-observadas | 2009 | |
| Chess Revision: Acquiring the Rules of Chess through Theory Revision from Examples | 2009 | |
| On the Relationship between PRISM and CLP(BN) | 2009 | |
| Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples | 2008 | |
| Busca Direcionada a Modos na Adição de Antecedentes em Revisão de Teorias de Primeira-ordem a partir de Exemplos | 2008 | |
| Busca Direcionada a Modos na Adição de Antecedentes por Descoberta de Caminhos Relacionais em Revisão de Teorias de Primeira-ordem a partir de Exemplos | 2008 | |
| Busca Direcionada a Modos na Adição de Antecedentes Hill-Climbing em Revisão de Teorias de Primeira-ordem a partir de Exemplos | 2008 | |
| Definindo Determinações de Predicados em Revisão de Teorias de Primeira-ordem a partir de Exemplos | 2008 | |
| Revisando Teorias Lógicas de Primeira-ordem a partir de Exemplos usando Busca Local Estocástica | 2007 | |
| Combinando Invenção de Predicados e Revisão de Teorias Probabilísticas de primeira-ordem | 2007 | |
| Revising First-order Logic Theories from Examples through Stochastic Local Search | 10.1007/978-3-540-78469-2_21 | 2007 |
| PFORTE: Revising Probabilistic FOL Theories | 10.1007/11874850_48 | 2006 |
| Combining Predicate Invention and Revision of Probabilistic FOL theories | 2006 | |
| ILP through Propositionalization and Stochastic k-term DNF Learning | 2006 | |
| ILP through Propositionalization and Stochastic k-term DNF Learning | 10.1007/978-3-540-73847-3_35 | 2006 |
| Probabilistic First-Order Theory Revision from Examples | 10.1007/11536314_18 | 2005 |
| Revisão de Teorias Probabilísticas de Primeira-Ordem. | 2005 | |
| Comparação de Funções de Avaliação em Revisão de Teorias Probabilísticas de Primeira-ordem | 2005 | |
| Further Results of Probabilistic First-Order Revision of Theories from Examples | 2005 |