Ana Madureira

Orcid: 0000-0002-0264-4710

Affiliations:
  • Polytechnic of Porto, Portugal


According to our database1, Ana Madureira authored at least 64 papers between 2000 and 2024.

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Bibliography

2024
Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection.
CoRR, 2024

2022
Deep Neural Networks Applied to Stock Market Sentiment Analysis.
Sensors, 2022

2021
An Intelligent Monitoring System for Assessing Bee Hive Health.
IEEE Access, 2021

Data-Driven Disaster Management in a Smart City.
Proceedings of the Intelligent Transport Systems - 5th EAI International Conference, 2021

State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

State of the Art of Wind and Power Prediction for Wind Farms.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

Remote Monitor System for Alzheimer Disease.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

Techno-Economic Feasibility Analysis and Optimal Design of Hybrid Renewable Energy Systems Coupled with Energy Storage.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

A Tool for Air Cargo Planning and Distribution.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

Deep Learning for Big Data.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

A Review on MOEA and Metaheuristics for Feature-Selection.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

2020
A Production Scheduling Support Framework.
Proceedings of the Intelligent Systems Design and Applications, 2020

Solving the Job Shop Scheduling Problem with Reinforcement Learning: A Statistical Analysis.
Proceedings of the Intelligent Systems Design and Applications, 2020

Development of a Reinforcement Learning System to Solve the Job Shop Problem.
Proceedings of the Intelligent Systems Design and Applications, 2020

2019
Automatic detection of Parkinson's disease based on acoustic analysis of speech.
Eng. Appl. Artif. Intell., 2019

2018
Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Ontology-Based Meta-model for Hybrid Collaborative Scheduling.
Proceedings of the Hybrid Intelligent Systems, 2018

Decision Support Tool for Dynamic Scheduling.
Proceedings of the Hybrid Intelligent Systems, 2018

Deep Reinforcement Learning as a Job Shop Scheduling Solver: A Literature Review.
Proceedings of the Hybrid Intelligent Systems, 2018

A Machine Learning Approach to Contact Databases' Importation for Spam Prevention.
Proceedings of the Hybrid Intelligent Systems, 2018

Application of the Simulated Annealing Algorithm to Minimize the makespan on the Unrelated Parallel Machine Scheduling Problem with Setup Times.
Proceedings of the Hybrid Intelligent Systems, 2018

2017
Neurodegenerative Diseases Detection Through Voice Analysis.
Proceedings of the Hybrid Intelligent Systems, 2017

Manufacturing Services Classification in a Decentralized Supply Chain Using Text Mining.
Proceedings of the Hybrid Intelligent Systems, 2017

2016
Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Study on the impact of the NS in the performance of meta-heuristics in the TSP.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Industrial Plant Layout Analyzing Based on SNA.
Proceedings of the Intelligent Systems Design and Applications, 2016

Evaluation of the Simulated Annealing and the Discrete Artificial Bee Colony in the Weight Tardiness Problem with Taguchi Experiments Parameterization.
Proceedings of the Intelligent Systems Design and Applications, 2016

Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems.
Proceedings of the Intelligent Systems Design and Applications, 2016

Specification of an Architecture for Self-organizing Scheduling Systems.
Proceedings of the Intelligent Systems Design and Applications, 2016

2015
Self-Optimizing A Multi-Agent Scheduling System: A Racing Based Approach.
Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

2014
Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments.
Int. J. Web Portals, 2014

Negotiation mechanism for self-organized scheduling system with collective intelligence.
Neurocomputing, 2014

Alternative approaches analysis for scheduling in an Extended Manufacturing Environment.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Parallel machines scheduling with fuzzy simulated annealing.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

An ordered approach to Minimum Completion Time in unrelated parallel-machines for the makespan optimization.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Manufacturing rush orders rescheduling: a supervised learning approach.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

An architecture for user modeling on Intelligent and Adaptive Scheduling Systems.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

A hybrid framework for supporting scheduling in extended manufacturing environments.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Using personas for supporting user modeling on scheduling systems.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.
IEEE Trans. Neural Networks Learn. Syst., 2013

Tuning Meta-Heuristics Using Multi-agent Learning in a Scheduling System.
Trans. Comput. Sci., 2013

Developing Issues for Ant Colony System Based Approach for Scheduling Problems.
Trans. Comput. Sci., 2013

Self-Optimization module for Scheduling using Case-based Reasoning.
Appl. Soft Comput., 2013

A User-Centered Interface for Scheduling Problem Definition.
Proceedings of the Advances in Information Systems and Technologies [WorldCIST'13, 2013

Cooperative Scheduling System with Emergent Swarm Based Behavior.
Proceedings of the Advances in Information Systems and Technologies [WorldCIST'13, 2013

Learning-Assisted Intelligent Scheduling System.
Proceedings of the IEEE International Conference on Systems, 2013

Towards Scheduling Optimization through Artificial Bee Colony Approach.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

2012
Multi-apprentice learning for meta-heuristics parameter tuning in a Multi Agent Scheduling System.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

Ant Colony System based approach to single machine scheduling problems: Weighted tardiness scheduling problem.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

2011
Negotiation mechanism for self-organized scheduling system.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

2010
Case-based reasoning for Self-Optimizing behavior.
Proceedings of the IEEE International Conference on Systems, 2010

Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Self-optimizing through CBR learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Collective intelligence on dynamic manufacturing scheduling optimization.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
A Hybrid Intelligent System for Distributed Dynamic Scheduling.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

Hybrid Meta-Heuristics Based System for Dynamic Scheduling.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

2008
Self-managing agents for dynamic scheduling in manufacturing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Inter-Machine Cooperation Mechanism for Dynamic Scheduling.
Proceedings of the Technological Developments in Education and Automation, 2008

2007
Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2004
Evolutionary Approach for Dynamic Scheduling in Manufacturing.
Proceedings of the ICINCO 2004, 2004

2002
A coordination mechanism for real world scheduling problems using genetic algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2000
A genetic algorithm for the dynamic single machine scheduling problem.
Proceedings of the Advanced Network Enterprises, 2000


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