Valdinei Freire

Orcid: 0000-0003-0330-3931

Affiliations:
  • University of São Paulo, Brazil


According to our database1, Valdinei Freire authored at least 52 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory.
Artif. Intell., March, 2023

Allocating Dynamic and Finite Resources to a Set of Known Tasks.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

α-MCMP: Trade-Offs Between Probability and Cost in SSPs with the MCMP Criterion.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Computerized Adaptive Testing: A Unified Approach Under Markov Decision Process.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Recommendations for evaluating the performance of background subtraction algorithms for surveillance systems.
Multim. Tools Appl., 2021

Probability-to-Goal and Expected Cost Trade-Off in Stochastic Shortest Path.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Comprehensive Empirical Analysis of Stop Criteria in Computerized Adaptive Testing.
Proceedings of the 13th International Conference on Computer Supported Education, 2021

Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
ALICAT: a customized approach to item selection process in computerized adaptive testing.
J. Braz. Comput. Soc., 2020

Risk-Sensitive Piecewise-Linear Policy Iteration for Stochastic Shortest Path Markov Decision Processes.
Proceedings of the Advances in Soft Computing, 2020

Risk Sensitive Markov Decision Process for Portfolio Management.
Proceedings of the Advances in Soft Computing, 2020

OvNMTF Algorithm: an Overlapping Non-Negative Matrix Tri-Factorization for Coclustering.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Risk Sensitive Stochastic Shortest Path and LogSumExp: From Theory to Practice.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms.
Multim. Tools Appl., 2019

Challenging situations for background subtraction algorithms.
Appl. Intell., 2019

An Exact Algorithm to Make a Trade-Off between Cost and Probability in SSPs.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Inventory Routing Problem with Time Windows: A systematic review of the literature.
Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

System to Solve the Inventory Routing Problem with Stochastic Demand and Time Window.
Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

2017
Processos de decisão de Markov com sensibilidade a risco com função de utilidade exponencial: Uma revisão sistemática da literatura.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Sistema para Resolver o Problema de Roteamento e Inventário com Demanda Estocástica: Comparando Diferentes Heurísticas na Relaxação Lagrangeana.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Learning-Process Evaluation to Select Spatial Abstractions in Reinforcement Learning.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

GUBS: a Utility-Based Semantic for Goal-Directed Markov Decision Processes.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Analysis of Choreographed Human Movements Using Depth Cameras: A Systematic Review.
Proceedings of the Human-Computer Interaction. Interaction Platforms and Techniques, 2016

Automatic Facial Recognition: A Systematic Review on the Problem of Light Variation.
Proceedings of the Human-Computer Interaction. Interaction Platforms and Techniques, 2016

Introducing a Language for Human Stance Description.
Proceedings of the Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, 2016

Extreme Risk Averse Policy for Goal-Directed Risk-Sensitive Markov Decision Process.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

The Role of Discount Factor in Risk Sensitive Markov Decision Processes.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Stochastic Abstract Policies: Generalizing Knowledge to Improve Reinforcement Learning.
IEEE Trans. Cybern., 2015

Evaluation of linear relaxations in Ad Network optimization for online marketing.
J. Braz. Comput. Soc., 2015

Segmentation Quality for Augmented Reality: An Objective Metric.
Proceedings of the XVII Symposium on Virtual and Augmented Reality, 2015

Aprendizado de Máquina em Sistemas de Recomendação Baseados em Conteúdo Textual: Uma Revisão Sistemática [Machine Learning in Textual Content-Based Recommendation Systems: A Systematic Review].
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

Comparative Analysis of Abstract Policies to Transfer Learning in Robotics Navigation.
Proceedings of the Knowledge, 2015

2013
Reusing Risk-Aware Stochastic Abstract Policies in Robotic Navigation Learning.
Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013

Objective assessment of video segmentation quality for augmented reality.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Ad Network Optimization: Evaluating Linear Relaxations.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

Speeding-up reinforcement learning through abstraction and transfer learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Mutual occlusion between real and virtual elements in Augmented Reality based on fiducial markers.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Subjective Video Quality Assessment in Segmentation for Augmented Reality Applications.
Proceedings of the 14th Symposium on Virtual and Augmented Reality, 2012

Shortest Stochastic Path with Risk Sensitive Evaluation.
Proceedings of the Advances in Artificial Intelligence, 2012

Forward and Backward Feature Selection in Gradient-Based MDP Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2012

Finding Memoryless Probabilistic Relational Policies for Inter-task Reuse.
Proceedings of the Advances on Computational Intelligence, 2012

Bilayer Segmentation Augmented with Future Evidence.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

2011
Simultaneous Abstract and Concrete Reinforcement Learning.
Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

A Geometric Approach to Find Nondominated Policies to Imprecise Reward MDPs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Stochastic Abstract Policies for Knowledge Transfer in Robotic Navigation Tasks.
Proceedings of the Advances in Artificial Intelligence, 2011

2009
Compulsory Flow Q-Learning: an RL algorithm for robot navigation based on partial-policy and macro-states.
J. Braz. Comput. Soc., 2009

2007
Eliciting preferences over observed behaviours based on relative evaluations.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006
Inverse Reinforcement Learning with Evaluation.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006


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