área de pesquisa
- Boosted projections and low cost transfer learning applied to smart surveillance
- A COLREGS-compliant collision avoidance system for unmanned surface vehicles
- A Deep Learning Approach for Epilepsy Seizure Identification Using Electroencephalogram Signals: A Preliminary Study
- A Framework for Evolution of Behaviour Switching
- A Machine Learning Solution to Reduce BGP Routing Convergence Time by Fine-Tuning MRAI
- A multiagent approach for detecting and mitigating DDoS attacks
- A Multiagent System Model for Knowledge Sharing in Community Social Networks (in Portuguese)
- A Survey on Concept Drift in Process Mining
- Accelerated Incremental Listwise Learning to Rank for Collaborative Filtering
- Accelerating Learning in Multiagent Domains through Experience Sharing
- Active Control for Traffic Lights Signals
- Active Learning in Contextual Bandits: Handling the Uncertainty about the User's Preferences in Interactive Recommendation Systems
- Alberto Paccanaro
- Alysson Ribeiro da Silva
- An Adaptive Trust Model Based on Fuzzy Logic
- AN AGENT-BASED APPROACH FOR AIRCRAFT ASSIGNMENT PROBLEM
- An Architecture for E-Health Systems that supports Patient Monitoring and Caregivers Notification based on a Reasoning Model to avoid Alarm Fatigue
- An Autonomous Emotional Virtual Character: An Approach with Deep and Goal-Parameterized Reinforcement Learning
- An Intelligent Approach Against Recruitment Spam
- Anderson Beraldo de Araújo
- Andres Soto Villaverde
- Andrew Koster
- André Roriz Coelho Barros
- Automatic Segmentation of Macular Holes in Optical Coherence Tomography Images: A review
- Beyond Land: A Review of Benchmarking Datasets, Algorithms, and Metrics for Visual-Based Ship Tracking
- Block Information in Attractor Neural Networks: A topology dependent analysis
- Carlos Fernando Carlim Pinto
- Carlos Morell
- Claudio Santos Pinhanez
- Conformidade em processos semiestruturados
- COVID-19 Patterns in Araraquara, Brazil: A Multimodal Analysis
- Creative Agent Reasoning through Adaptive Neural Networks
- Daniel Abella Cavalcante Mendonça de Souza
- Data Pre-processing for Supervised Machine Learning
- Dynamic Scheduling for Autonomous Robotics
- Edith Pulido Herrera
- Eduardo Fernandes Montesuma
- Elaheh Sayari
- Elton Felipe Sbruzzi
- Ensemble de técnicas de representação simbólica para reconhecimento biométrico baseado em sinais de ECG
- Escalabilidade do problema de geração de estruturas de coalizão: aplicação de um algoritmo baseado em detecção de comunidades a grafos reais
- Ewerton Cleudson de Sousa Melo
- Extensions of Case-based Reasoning for it applications in Computer Aided Process Planning
- Fabio Curi Paixão
- Fabio Sebastian Silveira
- Fernanda Medeiros Assef
- Fernando CARDOSO DURIER DA SILVA
- Gonzalo Daniel Maso Talou
- Hercules de Melo Barcelos
- Jeffrey Van Baalen
- Joni Hoppen dos Santos
- Jordana Leandro Seixas
- Jorge Carlos Valverde Rebaza
- Jorge Luis Guevara Díaz
- José Everaldo de Andrade Júnior
- Kai Olav Ellefsen
- Learning Diatoms Classification from a Dry Test Slide by Holographic Microscopy
- Linder Cândido da Silva
- Lorena Alves dos Santos
- Lucas Roberto Corrêa
- Luis Martí Orosa
- Luís Otávio Rigo Júnior
- Lívia Couto Ruback Rodrigues
- Machine Learning and Network Medicine approaches for Drug Repositioning for COVID-19
- MANAGING LARGE-SCALE SCIENTIFIC HYPOTHESES AS UNCERTAIN AND PROBABILISTIC DATA.
- Marcio Regys Rabelo de Oliveira
- Marconi Emanuel Madruga Filho
- Mineração do comportamento de usuários em redes sociais baseadas em localização
- Modularity as a Solution to Spatial Interference in Neural Networks
- Monitoração de Defeitos em Dutos Rígidos por Análise dos Parâmetros de Emissão Acústica Utilizando Redes Neurais
- Método para predizer a variação de glicose no sangue usando Sistemas Multiagentes e modelos matemáticos
- On Deep Learning Features for Noisy Time Series Classification
- Opportunities and challenges for applying process mining in healthcare: a systematic mapping study
- Protein function prediction for newly sequenced organisms
- Rafael Bello
- Rafael Coimbra Pinto
- Reza Javanmard Alitappeh
- Ricardo de Sousa Britto
- Ricardo Vieira de Carvalho Fernandes
- Rodrigo Barbosa Sousa Orrego
- Rodrigo Cardoso Silva
- Scalable Multi-Objective Optimization
- Self-Organized Inductive Learning in a Multidimensional Graph-like Neural Network Framework
- Spatial-Temporal Reasoning in Symbolic Neural Network for Semantic Interpretation of Videos
- Spatially Structured Information in Attractor Neural Networks using Metric Connectivity
- Specific purpose virtual assistant for oil and gas engineering projects
- Supporting Impromptu Coordination using Intelligent Software and Mobile Devices
- Taejin Park
- The Evolution of LearningThe Evolution of Learning: Balancing Adaptivity and Stability in Artificial Agent
- Towards an Efficient Method for Large-Scale Wi-SUN-Enabled AMI Network Planning
- Towards intrinsic autonomy through evolutionary computation
- Trust Alignment and Adaptation: Two Approaches for Talking about Trust in Multi-Agent Systems
- Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review
- Use of Machine Learning and Routine Laboratory Tests for Diabetes Mellitus Screening
- Valinho António
- Viktar Krasnaproshyn
- Vitor Emmanuel Andrade
- WiSARD for Opinion Mining in Nonstationary Environments
- Yosvani Orlando Lao León