Anna Helena Reali Costa

Orcid: 0000-0001-7309-4528

Affiliations:
  • University of Sao Paulo, Brazil


According to our database1, Anna Helena Reali Costa authored at least 114 papers between 1998 and 2024.

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

Timeline

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Bibliography

2024
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change.
Data Intell., 2024

No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts.
CoRR, 2024

From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024


Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points.
CoRR, 2023

Data augmentation techniques in natural language processing.
Appl. Soft Comput., 2023

Improving Zero-Shot Inference with Unsupervised Key-Sentences Extraction.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Embracing Data Irregularities in Multivariate Time Series with Recurrent and Graph Neural Networks.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market.
Expert Syst. Appl., 2022

A Physics-Informed Neural Network to Model Port Channels.
CoRR, 2022

Reinforcement Learning Applied to Trading Systems: A Survey.
CoRR, 2022

The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory.
CoRR, 2022

Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests.
CoRR, 2022

Modeling Oceanic Variables with Dynamic Graph Neural Networks.
CoRR, 2022

Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data With Different Platform Loads.
IEEE Access, 2022

PTT5-Paraphraser: Diversity and Meaning Fidelity in Automatic Portuguese Paraphrasing.
Proceedings of the Computational Processing of the Portuguese Language, 2022

Tracking Environmental Policy Changes in the Brazilian Federal Official Gazette.
Proceedings of the Computational Processing of the Portuguese Language, 2022

ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling.
Proceedings of the Computational Processing of the Portuguese Language, 2022

Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Transfer Learning for Multiagent Reinforcement Learning Systems
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01591-5, 2021

DEBACER: a method for slicing moderated debates.
CoRR, 2021

PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites.
CoRR, 2021

Using Neural Network Approaches to Detect Mooring Line Failure.
IEEE Access, 2021

Answer Selection Using Reinforcement Learning for Complex Question Answering on the Open Domain.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

Contextualised Word Embeddings Based on Transfer Learning to Dialogue Response Generation: a Proposal and Comparisons.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

Intelligent trading systems: a sentiment-aware reinforcement learning approach.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 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

Slot Sharing Mechanism in Multi-domain Dialogue Systems.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

DEEPAGÉ: Answering Questions in Portuguese About the Brazilian Environment.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning.
IEEE Trans. Smart Grid, 2020

Guest Editorial.
J. Ambient Intell. Smart Environ., 2020

<i>DECAF</i>: Deep Case-based Policy Inference for knowledge transfer in Reinforcement Learning.
Expert Syst. Appl., 2020

Combining novelty and popularity on personalised recommendations via user profile learning.
Expert Syst. Appl., 2020

A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning.
Artif. Intell. Medicine, 2020

Qualitative case-based reasoning and learning.
Artif. Intell., 2020

Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning.
IEEE Access, 2020

Agents teaching agents: a survey on inter-agent transfer learning.
Auton. Agents Multi Agent Syst., 2020

DeepBT and NLP Data Augmentation Techniques: A New Proposal and a Comprehensive Study.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning.
IEEE Trans. Cybern., 2019

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems.
J. Artif. Intell. Res., 2019

Introduction to the Special Section on Artificial Intelligence for Smart Systems.
Comput. Electr. Eng., 2019

Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Dialogue Management with Deep Reinforcement Learning: Balancing Exploration and Exploitation.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues.
Image Vis. Comput., 2018

Autonomously Reusing Knowledge in Multiagent Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Control of Gene Regulatory Networks Basin of Attractions with Batch Reinforcement Learning.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Object-Oriented Curriculum Generation for Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis.
J. Comput. Biol., 2017

A hybrid approach to learn, retrieve and reuse qualitative cases.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Vision-based monte-carlo localization for humanoid soccer robots.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Controlling Gene Regulatory Networks with FQI-SARSA.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Improving Reinforcement Learning Results with Qualitative Spatial Representation.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Simultaneously Learning and Advising in Multiagent Reinforcement Learning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

An Advising Framework for Multiagent Reinforcement Learning Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Accelerating Multiagent Reinforcement Learning through Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Improving Deep Reinforcement Learning with Knowledge Transfer.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Policy Reuse in Deep Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Using Options to Accelerate Learning of New Tasks According to Human Preferences.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Options in Multiobjective Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Transfer Learning for Multiagent Reinforcement Learning Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis.
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Towards Knowledge Transfer in Deep Reinforcement Learning.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

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

Intelligent Decision-Making for Smart Home Energy Management.
J. Intell. Robotic Syst., 2015

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

Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images.
Comput. Electron. Agric., 2015

Aligning RGB-D Point Clouds through Adaptive Integration of Color and Depth Cues.
Proceedings of the 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics, 2015

Batch Reinforcement Learning for Smart Home Energy Management.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

2014
Heuristically-Accelerated Multiagent Reinforcement Learning.
IEEE Trans. Cybern., 2014

A reference process for automating bee species identification based on wing images and digital image processing.
Ecol. Informatics, 2014

Probabilistic Relational Reasoning in Semantic Robot Navigation.
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

2013
Corisco: Robust edgel-based orientation estimation for generic camera models.
Image Vis. Comput., 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

Energy cost optimization in water distribution systems using Markov Decision Processes.
Proceedings of the International Green Computing Conference, 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
Finding Memoryless Probabilistic Relational Policies for Inter-task Reuse.
Proceedings of the Advances on Computational Intelligence, 2012

Heuristically Accelerated Reinforcement Learning: Theoretical and Experimental Results.
Proceedings of the ECAI 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

2010
Mapping with Monocular Vision in Two Dimensions.
Int. J. Nat. Comput. Res., 2010

2009
WBLS: A signal presence-based Wi-Fi localisation system for mobile devices in smart environments.
Int. J. Knowl. Based Intell. Eng. Syst., 2009

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

General detection model in cooperative multirobot localization.
J. Braz. Comput. Soc., 2009

Combining Conflicting and Confirmatory Information for Map Matching Using Paraconsistent Neural Networks.
Proceedings of the 9th IFAC Symposium on Robot Control, SyRoCo 2009, Gifu, Japan, 2009

Fast Vertical Line Correspondence Between Images for Mobile Robot Localization.
Proceedings of the 9th IFAC Symposium on Robot Control, SyRoCo 2009, Gifu, Japan, 2009

2008
Hybrid and Incremental Fuzzy Learning for Human Skin Detection.
Int. J. Pattern Recognit. Artif. Intell., 2008

Accelerating autonomous learning by using heuristic selection of actions.
J. Heuristics, 2008

A Learning Function for Parameter Reduction in Spiking Neural Networks with Radial Basis Function.
Proceedings of the Advances in Artificial Intelligence, 2008

2007
A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviours.
Proceedings of the Mobile Robots: The Evolutionary Approach, 2007

Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents.
Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 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

Fast loopy belief propagation for topological Sam.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Heuristic Selection of Actions in Multiagent Reinforcement Learning.
Proceedings of the IJCAI 2007, 2007

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

Negative Information in Cooperative Multirobot Localization.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
Cooperative multi-robot localization: using communication to reduce localization error.
Proceedings of the ICINCO 2005, 2005

A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviors.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

2002
Optimal control of ship unloaders using reinforcement learning.
Adv. Eng. Informatics, 2002

Ant-ViBRA: A Swarm Intelligence Approach to Learn Task Coordination.
Proceedings of the Advances in Artificial Intelligence, 2002

Comparing Distributed Reinforcement Learning Approaches to Learn Agent Coordination.
Proceedings of the Advances in Artificial Intelligence, 2002

Experience generalization for concurrent reinforcement learners: the minimax-QS algorithm.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001
Experience Generalization for Multi-Agent Reinforcement Learning.
Proceedings of the 21st International Conference of the Chilean Computer Science Society (SCCC 2001), 2001

Implementing Computer Vision Algorithms in Hardware: An FPGA/VHDL-Based Vision System for a Mobile Robot.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

2000
Classificação de Cores por Redes Neurais Usando a Representação HSV.
Proceedings of the International Joint Conference, 2000

L-VIBRA: Learning the VIBRA Architecture.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Learning to Behave by Environment Reinforcement.
Proceedings of the RoboCup-99: Robot Soccer World Cup III, 1999

1998
Integrating purposive vision with deliberative and reactive planning: engineering support for robotic applications.
J. Braz. Comput. Soc., 1998


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