Gabriel de Oliveira Ramos

66 papers A* 1A 8B 10C 2Misc 1Journal 31Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay. CoRR Gabriel Romio, Mateus Begnini Melchiades, Bruno Castro da Silva, Gabriel de Oliveira Ramos
2026	A*	`conf`	Lithology-Aware Conditional Variational Autoencoder for Synthetic Well Log Generation in Petroleum Reservoirs (Student Abstract). AAAI Aline Cambri Fredere, Gabriel de Oliveira Ramos, Luciano Garim Garcia, Mateus da Rocha Simionato, José Manuel Marques Teixeira de Oliveira, Ariane Santos da Silveira
2025	J	`jnl`	An efficient all-pairs approach for multi-objective dynamic shortest path problems. Neural Comput. Appl. Juarez Machado da Silva, Gabriel de Oliveira Ramos, Jorge Luis Victória Barbosa
2025	J	`jnl`	Analytical propagation of errors and uncertainties in deep neural networks in the domain of physical sciences. Eng. Appl. Artif. Intell. Gerson Eduardo de Mello, Vitor Camargo Nardelli, Rodrigo da Rosa Righi, Luiz Schirmer, Gabriel de Oliveira Ramos
2025	B	`conf`	Can Deep Learning Models Predict Compositional Outputs Without Log-Ratio Transformations? ICTAI Luciano Garim Garcia, Gabriel de Oliveira Ramos, Gabriel Tomasi de Melo, Elaine Dias Pires, Milene Freitas Figueiredo, Joselito Cabral Vazquez, Ariane Santos da Silveira
2025	A	`conf`	Dynamic Option Creation in Option-Critic Reinforcement Learning. AAMAS Mateus Begnini Melchiades, Gabriel de Oliveira Ramos, Bruno C. da Silva
2025	J	`jnl`	Narrative Consolidation: Formulating a New Task for Unifying Multi-Perspective Accounts. CoRR Roger A. Finger, Eduardo G. Cortes, Sandro José Rigo, Gabriel de Oliveira Ramos
2025	—	`conf`	Scaling laws in zero-shot gender classification using CLIP. CVPR Workshops Lucas M. Ceschini, Gabriel de Oliveira Ramos, Cláudio R. Jung
2024	J	`jnl`	A machine learning pipeline for extracting decision-support features from traffic scenes. AI Commun. Vitor A. Fraga, Lincoln Vinicius Schreiber, Marco Antonio Chitolina Da Silva, Rafael Kunst, Jorge L. V. Barbosa, Gabriel de Oliveira Ramos
2024	J	`jnl`	Advancing Chatbot Conversations: A Review of Knowledge Update Approaches. J. Braz. Comput. Soc. Luis Antonio Leite Francisco da Costa, Mateus Begnini Melchiades, Valéria Soldera Girelli, Felipe Colombelli, Denis A. de Araujo, Sandro José Rigo, Gabriel de Oliveira Ramos, Cristiano André da Costa, Rodrigo da Rosa Righi, Jorge Luis Victória Barbosa
2024	J	`jnl`	An encoder-decoder deep neural network for binary segmentation of seismic facies. Comput. Geosci. Gefersom Lima, Felipe André Zeiser, Ariane Santos da Silveira, Sandro José Rigo, Gabriel de Oliveira Ramos
2024	J	`jnl`	CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions. Expert Syst. Appl. Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Andreas K. Maier, Rodrigo da Rosa Righi
2024	J	`jnl`	Detecção de Emoções na Aprendizagem de Programação: Os Efeitos de Usar Estimativas de Conhecimento em Modelos Livres de Sensores que Detectam a Confusão do Aluno. Revista Brasileira de Informática na Educ. Tiago Roberto Kautzmann, Gabriel de Oliveira Ramos, Patrícia A. Jaques
2024	C	`conf`	Enhancing Synthetic Well Logs with PCA-Based GAN Models. ICMLA Luciano Garim Garcia, Gabriel de Oliveira Ramos, José Manuel Marques Teixeira de Oliveira, Ariane Santos da Silveira
2024	J	`jnl`	UnbIAs - Google Translate Gender Bias Mitigation and Addition of Genderless Translation. RITA Vanessa Schenkel, Blanda Mello, Sandro José Rigo, Gabriel de Oliveira Ramos
2024	A	`conf`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
2024	J	`jnl`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
2023	A	`conf`	A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2023	J	`jnl`	A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems. Comput. Ind. Marcos Leandro Hoffmann Souza, Cristiano André da Costa, Gabriel de Oliveira Ramos
2023	J	`jnl`	Multi-Objective Decision-Making Meets Dynamic Shortest Path: Challenges and Prospects. Algorithms Juarez Machado da Silva, Gabriel de Oliveira Ramos, Jorge Luis Victória Barbosa
2023	C	`conf`	Pleural Effusion Classification on Chest X-Ray Images with Contrastive Learning. WEBIST Felipe André Zeiser, Ismael Santos, Henrique Bohn, Cristiano André da Costa, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi, Andreas Maier, José Rodrigo M. Andrade, Alexandre Bacelar
2023	A	`conf`	Scalar Reward is Not Enough. AAMAS Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2022	—	`conf`	A Machine Learning Pipeline for Extracting Decision-Support Features from Traffic Scenes. ATT@IJCAI Vitor A. Fraga, Lincoln Schreiber, Rafael Kunst, Jorge L. V. Barbosa, Gabriel de Oliveira Ramos
2022	J	`jnl`	A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2022	J	`jnl`	A rapid review of machine learning approaches for telemedicine in the scope of COVID-19. Artif. Intell. Medicine Luana Carine Schünke, Blanda Mello, Cristiano André da Costa, Rodolfo Stoffel Antunes, Sandro José Rigo, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi, Juliana Nichterwitz Scherer, Bruna Donida
2022	—	`conf`	Aiding Glaucoma Diagnosis from the Automated Classification and Segmentation of Fundus Images. BRACIS (2) Lucas M. Ceschini, Lucas Micol Policarpo, Rodrigo da Rosa Righi, Gabriel de Oliveira Ramos
2022	B	`conf`	An Interpolated Approach for Active Debris Removal. CEC João Batista Rodrigues Neto, Gabriel de Oliveira Ramos
2022	B	`conf`	DeepCADD: A Deep Learning Architecture for Automatic Detection of Coronary Artery Disease. IJCNN Samuel A. Freitas, Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos
2022	J	`jnl`	ELFpm: A machine learning framework for industrial machines prediction of remaining useful life. Neurocomputing Jovani Dalzochio, Rafael Kunst, Jorge Luis Victória Barbosa, Henrique Damasceno Vianna, Gabriel de Oliveira Ramos, Edison Pignaton, Alécio P. D. Binotto, Jose Favilla
2022	B	`conf`	MoStress: a Sequence Model for Stress Classification. IJCNN Arturo de Souza, Mateus Begnini Melchiades, Sandro José Rigo, Gabriel de Oliveira Ramos
2022	B	`conf`	Multi-objective prioritization for data center vulnerability remediation. CEC Felipe Colombelli, Vítor Kehl Matter, Bruno Iochins Grisci, Leomar Lima, Karine Heinen, Marcio Borges, Sandro José Rigo, Jorge Luis Victória Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos
2022	—	`conf`	On Social Consensus Mechanisms for Federated Learning Aggregation. BRACIS (2) Igor Felipe de Camargo, Rodolfo Stoffel Antunes, Gabriel de Oliveira Ramos
2022	B	`conf`	On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. IJCNN Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos
2022	J	`jnl`	Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization. CoRR Bruno Grisci, Gabriela Kuhn, Felipe Colombelli, Vítor Kehl Matter, Leomar Lima, Karine Heinen, Mauricio Pegoraro, Marcio Borges, Sandro José Rigo, Jorge L. V. Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos
2022	J	`jnl`	Prediction of Harvest Time of Apple Trees: An RNN-Based Approach. Algorithms Tiago Boechel, Lucas Micol Policarpo, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi, Dhananjay Singh
2022	J	`jnl`	Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2022	B	`conf`	The multi-objective dynamic shortest path problem. CEC Juarez Machado da Silva, Gabriel de Oliveira Ramos, Jorge L. V. Barbosa
2021	J	`jnl`	A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2021	J	`jnl`	A feature identification method to explain anomalies in condition monitoring. Comput. Ind. Marcos Leandro Hoffmann Souza, Cristiano André da Costa, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi
2021	J	`jnl`	A systematic mapping study of robotics in human care. Robotics Auton. Syst. Nícolas B. Santos, Rodrigo Simon Bavaresco, João Elison da Rosa Tavares, Gabriel de Oliveira Ramos, Jorge L. V. Barbosa
2021	—	`conf`	An Enhanced TSP-Based Approach for Active Debris Removal Mission Planning. BRACIS (1) João Batista Rodrigues Neto, Gabriel de Oliveira Ramos
2021	—	`conf`	Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays. BRACIS (2) Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi
2021	J	`jnl`	Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays. CoRR Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi
2021	Misc	`conf`	Fuzzy time series for predicting phenological stages of apple trees. SAC Tiago Boechel, Lucas Micol Policarpo, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi
2021	J	`jnl`	HealthMon: An approach for monitoring machines degradation using time-series decomposition, clustering, and metaheuristics. Comput. Ind. Eng. Miromar José de Lima, César David Paredes Crovato, Rodrigo Ivan Goytia Mejia, Rodrigo da Rosa Righi, Gabriel de Oliveira Ramos, Cristiano André da Costa, Giovani Pesenti
2021	J	`jnl`	Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2020	J	`jnl`	Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks. CoRR Gefersom Lima, Gabriel de Oliveira Ramos, Sandro Rigo, Felipe André Zeiser, Ariane Santos da Silveira
2020	J	`jnl`	ElHealth: Using Internet of Things and data prediction for elastic management of human resources in smart hospitals. Eng. Appl. Artif. Intell. Gabriel Souto Fischer, Rodrigo da Rosa Righi, Gabriel de Oliveira Ramos, Cristiano André da Costa, Joel J. P. C. Rodrigues
2020	B	`conf`	On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem. IJCNN Ricardo Grunitzki, Gabriel de Oliveira Ramos
2020	A	`conf`	Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. AAMAS Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares
2020	J	`jnl`	Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
2019	B	`conf`	Experience Sharing Between Cooperative Reinforcement Learning Agents. ICTAI Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Célia Ghedini Ralha
2019	J	`jnl`	Experience Sharing Between Cooperative Reinforcement Learning Agents. CoRR Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Célia Ghedini Ralha
2019	—	`conf`	Self-Adaptive Appearance-Based Eye-Tracking with Online Transfer Learning. BRACIS Bruno Klein Salvalaio, Gabriel de Oliveira Ramos
2017	A	`conf`	Learning to Minimise Regret in Route Choice. AAMAS Gabriel de Oliveira Ramos, Bruno Castro da Silva, Ana L. C. Bazzan
2017	A	`conf`	Minimising Regret in Route Choice. AAMAS Gabriel de Oliveira Ramos
2016	B	`conf`	Efficient local search in traffic assignment. CEC Gabriel de Oliveira Ramos, Ana L. C. Bazzan
2016	—	`conf`	On Estimating Action Regret and Learning From It in Route Choice. ATT@IJCAI Gabriel de Oliveira Ramos, Ana L. C. Bazzan
2015	J	`jnl`	A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. Multiagent Grid Syst. Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan
2015	—	`conf`	Forming Coalitions of Electric Vehicles in Constrained Scenarios. PAAMS (Workshops) Ana L. C. Bazzan, Gabriel de Oliveira Ramos
2015	A	`conf`	Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking. GECCO Gabriel de Oliveira Ramos, Ana Lúcia Cetertich Bazzan
2014	—	`conf`	An Improved Learning Automata Approach for the Route Choice Problem. ARE/AVSA@AAMAS Gabriel de Oliveira Ramos, Ricardo Grunitzki
2014	J	`jnl`	Dynamic constrained coalition formation among electric vehicles. J. Braz. Comput. Soc. Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan
2014	—	`conf`	Individual versus Difference Rewards on Reinforcement Learning for Route Choice. BRACIS Ricardo Grunitzki, Gabriel de Oliveira Ramos, Ana Lúcia C. Bazzan
2013	—	`conf`	Self-Adapting Coalition Formation Among Electric Vehicles in Smart Grids. SASO Gabriel de Oliveira Ramos, Juan C. Burguillo-Rial, Ana L. C. Bazzan
2013	—	`conf`	Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids. MATES Andrew Koster, Gabriel de Oliveira Ramos, Ana L. C. Bazzan, Fernando Koch