A genetic algorithm for the dynamic single machine scheduling problem. - Ana Maria Madureira; Carlos Ramos 001; Sílvio do Carmo Silva (Advanced Network Enterprises, 2000)

A coordination mechanism for real world scheduling problems using genetic algorithms. - Ana Madureira; Carlos Ramos 001; Sílvio do Carmo Silva (IEEE Congress on Evolutionary Computation, 2002)

Evolutionary Approach for Dynamic Scheduling in Manufacturing. - Ana Maria Madureira; Carlos Ramos 001; Sílvio do Carmo Silva (ICINCO (1), 2004)

Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics. - Ana Madureira; Joaquim Santos; Nuno Gomes (ISDA, 2007)

Inter-Machine Cooperation Mechanism for Dynamic Scheduling. - Ana Madureira; Joaquim Santos (EIAT/IETA, 2008)

Self-managing agents for dynamic scheduling in manufacturing. - Ana Madureira; Filipe Santos; Ivo Pereira (GECCO (Companion), 2008)

Hybrid Meta-Heuristics Based System for Dynamic Scheduling. - Ana Madureira (Encyclopedia of Artificial Intelligence, 2009)

A Hybrid Intelligent System for Distributed Dynamic Scheduling. - Ana Madureira; Joaquim Santos; Ivo Pereira (Natural Intelligence for Scheduling, Planning and Packing Problems, 2009)

Collective intelligence on dynamic manufacturing scheduling optimization. - Ana Madureira; Ivo Pereira; Nelson Sousa (BIC-TA, 2010)

Self-optimizing through CBR learning. - Ivo Pereira; Ana Madureira (IEEE Congress on Evolutionary Computation, 2010)

Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties. - Ana Madureira; Ivo Pereira (HIS, 2010)

Case-based reasoning for Self-Optimizing behavior. - Ivo Pereira; Ana Madureira (SMC, 2010)

Negotiation mechanism for self-organized scheduling system. - Ana Madureira; Nelson Sousa; Ivo Pereira (NaBIC, 2011)

Ant Colony System based approach to single machine scheduling problems: Weighted tardiness scheduling problem. - Ana Madureira; Diamantino Falcao; Ivo Pereira (NaBIC, 2012)

Multi-apprentice learning for meta-heuristics parameter tuning in a Multi Agent Scheduling System. - Ivo Pereira; Ana Madureira; Paulo B. de Moura Oliveira (NaBIC, 2012)

Towards Scheduling Optimization through Artificial Bee Colony Approach. - Ana Madureira; Ivo Pereira; Ajith Abraham (NaBIC, 2013)

Learning-Assisted Intelligent Scheduling System. - Ana Madureira; João Paulo Pereira; Ivo Pereira (SMC, 2013)

Cooperative Scheduling System with Emergent Swarm Based Behavior. - Ana Madureira; Ivo Pereira; Diamantino Falcao (WorldCIST, 2013)

A User-Centered Interface for Scheduling Problem Definition. - Jesus Piairo; Ana Madureira; João Paulo Pereira; Ivo Pereira (WorldCIST, 2013)

Self-Optimization module for Scheduling using Case-based Reasoning. - Ivo Pereira; Ana Madureira (Appl. Soft Comput., 2013)

Developing Issues for Ant Colony System Based Approach for Scheduling Problems. - Ana Madureira; Ivo Pereira; Ajith Abraham (Trans. Comput. Sci., 2013)

Tuning Meta-Heuristics Using Multi-agent Learning in a Scheduling System. - Ivo Pereira; Ana Madureira; Paulo B. de Moura Oliveira; Ajith Abraham (Trans. Comput. Sci., 2013)

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. - Derong Liu 001; Charles Anderson 001; Ahmad Taher Azar; Giorgio Battistelli; Eduardo Bayro-Corrochano; Cristiano Cervellera; David A. Elizondo; Maurizio Filippone; Giorgio Gnecco; Xiaolin Hu; Tingwen Huang; Weifeng Liu 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2013)

Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system. - Ana Madureira; Bruno Cunha; Ivo Pereira (IEEE Congress on Evolutionary Computation, 2014)

Using personas for supporting user modeling on scheduling systems. - Ana Madureira; Bruno Cunha; João Paulo Pereira; S. Gomes; Ivo Pereira; J. M. Santos; Ajith Abraham (HIS, 2014)

A hybrid framework for supporting scheduling in extended manufacturing environments. - André S. Santos 001; Ana Maria Madureira; Maria Leonilde R. Varela; Goran D. Putnik; Ajith Abraham (HIS, 2014)

An architecture for user modeling on Intelligent and Adaptive Scheduling Systems. - Ana Madureira; Bruno Cunha; João Paulo Pereira; Ivo Pereira; S. Gomes (NaBIC, 2014)

Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience. - Ana Madureira; S. Gomes; Bruno Cunha; João Paulo Pereira; J. M. Santos; Ivo Pereira (NaBIC, 2014)

Manufacturing rush orders rescheduling: a supervised learning approach. - Ana Madureira; J. M. Santos; S. Gomes; Bruno Cunha; João Paulo Pereira; Ivo Pereira (NaBIC, 2014)

An ordered approach to Minimum Completion Time in unrelated parallel-machines for the makespan optimization. - Andre Serra e Santos; Ana Maria Madureira; Maria Leonilde R. Varela (NaBIC, 2014)

Parallel machines scheduling with fuzzy simulated annealing. - André S. Santos 001; Maria Leonilde R. Varela; Ana Maria Madureira; Rita Almeida Ribeiro (NaBIC, 2014)

Alternative approaches analysis for scheduling in an Extended Manufacturing Environment. - André S. Santos 001; Maria Leonilde R. Varela; Goran D. Putnik; Ana Maria Madureira (NaBIC, 2014)

Negotiation mechanism for self-organized scheduling system with collective intelligence. - Ana Madureira; Ivo Pereira; P. Pereira; Ajith Abraham (Neurocomputing, 2014)

Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments. - Maria Leonilde R. Varela; Andre Serra e Santos; Ana Maria Madureira; Goran D. Putnik; Maria Manuela Cruz-Cunha (Int. J. Web Portals, 2014)

Self-Optimizing A Multi-Agent Scheduling System: A Racing Based Approach. - Ivo Pereira; Ana Madureira (IDC, 2015)

Specification of an Architecture for Self-organizing Scheduling Systems. - Ana Madureira; Ivo Pereira; Bruno Cunha (ISDA, 2016)

Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems. - Ivo Pereira; Ana Madureira; Bruno Cunha (ISDA, 2016)

Evaluation of the Simulated Annealing and the Discrete Artificial Bee Colony in the Weight Tardiness Problem with Taguchi Experiments Parameterization. - André S. Santos 001; Ana Maria Madureira; Maria Leonilde R. Varela (ISDA, 2016)

Industrial Plant Layout Analyzing Based on SNA. - Maria Leonilde R. Varela; Vijaya Kumar Manupati; K. Manoj; Goran D. Putnik; A. Araújo; Ana Maria Madureira (ISDA, 2016)

Study on the impact of the NS in the performance of meta-heuristics in the TSP. - André S. Santos 001; Ana Maria Madureira; Maria Leonilde R. Varela (SMC, 2016)

Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems. - Bruno Cunha; Ana Madureira; João Paulo Pereira; Ivo Pereira (SSCI, 2016)

Manufacturing Services Classification in a Decentralized Supply Chain Using Text Mining. - M. D. Akhtar; Vijaya Kumar Manupati; Maria Leonilde R. Varela; Goran D. Putnik; Ana Maria Madureira; Ajith Abraham (HIS, 2017)

Neurodegenerative Diseases Detection Through Voice Analysis. - Diogo Braga; Ana Maria Madureira; Luís Pinto Coelho; Ajith Abraham (HIS, 2017)

Application of the Simulated Annealing Algorithm to Minimize the makespan on the Unrelated Parallel Machine Scheduling Problem with Setup Times. - Gabriela Amaral; Lino A. Costa; Ana Maria A. C. Rocha; Leonilde Rocha Varela; Ana Madureira (HIS, 2018)

A Machine Learning Approach to Contact Databases' Importation for Spam Prevention. - Duarte Coelho; Ana Madureira; Ivo Pereira; Bruno Cunha (HIS, 2018)

Deep Reinforcement Learning as a Job Shop Scheduling Solver: A Literature Review. - Bruno Cunha; Ana Maria Madureira; Benjamim Fonseca; Duarte Coelho (HIS, 2018)

Decision Support Tool for Dynamic Scheduling. - Luís Ferreirinha; André S. Santos 001; Ana Maria Madureira; M. Leonilde R. Varela; João A. Bastos (HIS, 2018)

Ontology-Based Meta-model for Hybrid Collaborative Scheduling. - Leonilde Rocha Varela; Goran D. Putnik; Vijaya Manupti; Ana Madureira; André S. Santos 001; Gabriela Amaral; Luís Ferreirinha (HIS, 2018)

Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning. - Lígia Sousa; Diogo Braga; Ana Madureira; Luís Pinto Coelho; Francesco Renna (SoCPaR, 2018)

Automatic detection of Parkinson's disease based on acoustic analysis of speech. - Diogo Braga; Ana Maria Madureira; Luís Pinto Coelho; Reuel Ajith (Eng. Appl. Artif. Intell., 2019)

Development of a Reinforcement Learning System to Solve the Job Shop Problem. - Bruno Cunha; Ana Madureira; Benjamim Fonseca (ISDA, 2020)

Solving the Job Shop Scheduling Problem with Reinforcement Learning: A Statistical Analysis. - Bruno Cunha; Ana Madureira; Benjamim Fonseca (ISDA, 2020)

A Production Scheduling Support Framework. - Paula Reis; André S. Santos 001; João A. Bastos; Ana Maria Madureira; Leonilde R. Varela (ISDA, 2020)

A Review on MOEA and Metaheuristics for Feature-Selection. - Duarte Coelho; Ana Madureira; Ivo Pereira; Ramiro Gonçalves (IBICA, 2021)

Deep Learning for Big Data. - Filipe Correia; Ana Madureira; Jorge Bernardino (IBICA, 2021)

A Tool for Air Cargo Planning and Distribution. - Diana Costa; André S. Santos 001; João A. Bastos; Ana Maria Madureira; Marlene F. Brito (IBICA, 2021)

Techno-Economic Feasibility Analysis and Optimal Design of Hybrid Renewable Energy Systems Coupled with Energy Storage. - Shirin Cupples; Amir Abtahi; Ana Madureira; José Quadrado (IBICA, 2021)

Remote Monitor System for Alzheimer Disease. - Luís B. Elvas; Daniel Cale; João C. Ferreira 001; Ana Madureira (IBICA, 2021)

State of the Art of Wind and Power Prediction for Wind Farms. - Ricardo Puga; José Baptista; José Boaventura Cunha; Judite Ferreira; Ana Madureira (IBICA, 2021)

State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen. - Ricardo Puga; José Boaventura Cunha; Judite Ferreira; Ana Madureira (IBICA, 2021)

Data-Driven Disaster Management in a Smart City. - Sandra P. Gonçalves; Joao C. Ferreira; Ana Madureira (INTSYS, 2021)

An Intelligent Monitoring System for Assessing Bee Hive Health. - Diogo Braga; Ana Madureira; Fabio Scotti; Vincenzo Piuri; Ajith Abraham (IEEE Access, 2021)

Deep Neural Networks Applied to Stock Market Sentiment Analysis. - Filipe Correia; Ana Maria Madureira; Jorge Bernardino (Sensors, 2022)

A Systematic Review on Responsible Multimodal Sentiment Analysis in Marketing Applications. - Inês César; Ivo Pereira; Fátima Rodrigues 001; Vera L. Miguéis; Susana Nicola; Ana Madureira; José Luís Reis; José Paulo Marques dos Santos; Daniel Alves de Oliveira (IEEE Access, 2024)

Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection. - Martin Aubard; László Antal; Ana Madureira; Erika Ábrahám (CoRR, 2024)

ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection. - Martin Aubard; László Antal; Ana Madureira; Luís F. Teixeira 001; Erika Ábrahám (CoRR, 2024)

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges. - Martin Aubard; Ana Madureira; Luís F. Teixeira 001; José Pinto 001 (CoRR, 2024)

A Machine Learning as a Service (MLaaS) Approach to Improve Marketing Success. - Ivo Pereira; Ana Madureira; Nuno Bettencourt; Duarte Coelho; Miguel Ângelo Rebelo; Carolina Araújo; Daniel Alves de Oliveira (Informatics, 2024)

SWDD: Sonar Wall Detection Dataset. - Martin Aubard; László Antal; Ana Maria Madureira; Erika Ábrahám (Zenodo, 2024)

SWDD: Sonar Wall Detection Dataset. - Martin Aubard; László Antal; Ana Maria Madureira; Luís F. Teixeira 001; Erika Ábrahám (Zenodo, 2024)

Enhancing Consumer Insights Through Multimodal Artificial Intelligence and Affective Computing. - Inês César; Ivo Pereira; Fátima Rodrigues 001; Vera L. Miguéis; Susana Nicola; Ana Madureira; José Luís Reis; José Paulo Marques dos Santos; Duarte Coelho; Daniel Alves de Oliveira (IEEE Access, 2025)

Exploring multimodal learning applications in marketing: A critical perspective. - Inês César; Ivo Pereira; Fátima Rodrigues 001; Vera L. Miguéis; Susana Nicola; Ana Madureira (Int. J. Hybrid Intell. Syst., 2025)