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Susana M. Vieira
Susana Margarida Vieira
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2020 – today
- 2025
- [j25]Diogo F. Oliveira
, Miguel S. E. Martins
Divide-and-conquer initialization and mutation operators for the large-scale mixed Capacitated Arc Routing Problem. Eur. J. Oper. Res. 321(2): 383-396 (2025) - 2024
- [j24]João A. M. Santos
Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains. Algorithms 17(6): 271 (2024) - [c64]André Seabra, Rodrigo M. M. Ventura, Rui Jorge Almeida, Susana M. Vieira, João M. C. Sousa:
Applications of Autonomous Learning Multi Model System to Multiclass Imbalanced Datasets. FUZZ 2024: 1-8 - [c63]Beatriz P. Lourenço, Miguel Santos Loureiro, Filipe Santos, Rodrigo M. M. Ventura, Ricardo Magalhães, Vera Dantas, Matilde Valente Rosa, Cristina Bárbara, João M. C. Sousa, Susana M. Vieira:
Identifying the Determinants of Infant and Youth Mortality in Portugal: a Machine Learning Approach. IJCNN 2024: 1-9 - 2023
- [j23]Bernardo M. Firme
Agent-based hybrid tabu-search heuristic for dynamic scheduling. Eng. Appl. Artif. Intell. 126(Part D): 107146 (2023) - [j22]Miguel S. E. Martins
Minimizing total completion time in large-sized pharmaceutical quality control scheduling. J. Heuristics 29(1): 177-206 (2023) - [c62]Bernardo M. Firme, José Rodrigues
Augmented Reality Techology in a Pharmaceutical Industry Prototype. exp.at 2023: 23-24 - 2022
- [j21]Tiago Coito, Bernardo M. Firme
Integration of industrial IoT architectures for dynamic scheduling. Comput. Ind. Eng. 171: 108387 (2022) - [j20]João A. M. Santos
Many-objective optimization of a three-echelon supply chain: A case study in the pharmaceutical industry. Comput. Ind. Eng. 173: 108729 (2022) - [j19]Andrea Bertolini
Power output optimization of electric vehicles smart charging hubs using deep reinforcement learning. Expert Syst. Appl. 201: 116995 (2022) - [c61]Filipe Santos
First-Order Autonomous Learning Multi-Model Systems for Multiclass Classification tasks. FUZZ-IEEE 2022: 1-6 - [c60]Inês Saraiva, Daniela Moniz, Alexandre Almeida, João M. C. Sousa, Susana M. Vieira:
Intelligent Funds Assistant Exploiting Hierarchical Text Classification Algorithms. IJCNN 2022: 1-7 - 2021
- [c59]Filipe Santos
A new approach to ALMMo-0 Classifiers: A trade-off between accuracy and complexity. FUZZ-IEEE 2021: 1-6 - [c58]Susana M. Vieira:
Fuzzy Systems in Health Care. IJCCI 2021: 5 - [c57]Ricardo Magalhães, Miguel S. E. Martins, Susana M. Vieira, Filipe Santos
Encoder-Decoder Neural Network Architecture for solving Job Shop Scheduling Problems using Reinforcement Learning. SSCI 2021: 1-8 - 2020
- [j18]Marta P. B. Fernandes, Susana M. Vieira
Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review. Artif. Intell. Medicine 102: 101762 (2020) - [j17]Tiago Coito
A Middleware Platform for Intelligent Automation: An Industrial Prototype Implementation. Comput. Ind. 123: 103329 (2020) - [j16]Miguel R. Lopes
Pharmaceutical quality control laboratory digital twin - A novel governance model for resource planning and scheduling. Int. J. Prod. Res. 58(21): 6553-6567 (2020) - [c56]Bernardo M. Firme
Multi-agent system for dynamic scheduling. IJCNN 2020: 1-8 - [c55]Inês C. Ferreira, Bernardo M. Firme
Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems. IPMU (1) 2020: 241-254 - [c54]Miguel S. E. Martins
Solving Dynamic Delivery Services Using Ant Colony Optimization. IPMU (1) 2020: 327-341 - [c53]Pedro João Rodrigues
Optimizing Agent Training with Deep Q-Learning on a Self-Driving Reinforcement Learning Environment. SSCI 2020: 745-752 - [e5]Marie-Jeanne Lesot, Susana M. Vieira, Marek Z. Reformat, João Paulo Carvalho
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part I. Communications in Computer and Information Science 1237, Springer 2020, ISBN 978-3-030-50145-7 [contents] - [e4]Marie-Jeanne Lesot, Susana M. Vieira, Marek Z. Reformat, João Paulo Carvalho
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part II. Communications in Computer and Information Science 1238, Springer 2020, ISBN 978-3-030-50142-6 [contents] - [e3]Marie-Jeanne Lesot, Susana M. Vieira, Marek Z. Reformat, João Paulo Carvalho
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part III. Communications in Computer and Information Science 1239, Springer 2020, ISBN 978-3-030-50152-5 [contents]
2010 – 2019
- 2019
- [c52]Aldo Arévalo
Fuzzy Modeling of Survival Associated to Insulin Therapy in the ICU. FUZZ-IEEE 2019: 1-6 - [c51]João M. C. Sousa
An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs. FUZZ-IEEE 2019: 1-6 - [c50]Emanuel Trunzer
Concept and Evaluation of a Technology-independent Data Collection Architecture for Industrial Automation. IECON 2019: 2830-2836 - 2018
- [j15]Alexandra Horta
Clinical decision support tool for Co-management signalling. Int. J. Medical Informatics 113: 56-62 (2018) - [c49]Aldo Arévalo
Fuzzy Classification of Bariatric Post-surgery Effectiveness. FUZZ-IEEE 2018: 1-8 - [c48]Andre D. Silva, Clara C. Correia, Cátia M. Salgado, Stan N. Finkelstein, Leo A. Celi, João M. C. Sousa
Fuzzy Modeling for Predicting Patient Survival Rate in ICU with AKI. FUZZ-IEEE 2018: 1-6 - [c47]Marta P. B. Fernandes, Susana M. Vieira
Short-term prediction in an Oscillating Water Column using Artificial Neural Networks. IJCNN 2018: 1-7 - [c46]Aline A. Peres, Susana M. Vieira
Hybrid neural models for automatic handwritten digits recognition. IJCNN 2018: 1-8 - [c45]Joaquim L. Viegas, Nuno M. Cepeda, Susana M. Vieira
Electricity fraud detection using committee semi-supervised learning. IJCNN 2018: 1-6 - 2017
- [j14]Rita Viegas, Cátia M. Salgado, Sérgio Curto, João Paulo Carvalho
Daily prediction of ICU readmissions using feature engineering and ensemble fuzzy modeling. Expert Syst. Appl. 79: 244-253 (2017) - [j13]Cátia M. Salgado
Takagi-Sugeno Fuzzy Modeling Using Mixed Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 25(6): 1417-1429 (2017) - [j12]Cátia M. Salgado
Mixed Fuzzy Clustering for Misaligned Time Series. IEEE Trans. Fuzzy Syst. 25(6): 1777-1794 (2017) - [c44]Ricardo Pacheco, Cátia M. Salgado, Rodrigo Deliberato, Leo Anthony Celi, Susana M. Vieira
Short-term prediction of low kidney function in ICU patients. FUZZ-IEEE 2017: 1-5 - [c43]Cátia M. Salgado, Marta P. B. Fernandes, Alexandra Horta
Multistage modeling for the classification of numerical and categorical datasets. FUZZ-IEEE 2017: 1-6 - [c42]Joaquim L. Viegas
Clustering-based novelty detection to uncover electricity theft. FUZZ-IEEE 2017: 1-6 - [c41]Susana M. Vieira, Alexandra Moutinho
Relating Aircraft Altitude with Pilot's Physiological Variables: Towards Increasing Safety in Light-sport Aviation. ICINCO (1) 2017: 359-364 - 2016
- [j11]André S. Fialho, Susana M. Vieira
Mortality prediction of septic shock patients using probabilistic fuzzy systems. Appl. Soft Comput. 42: 194-203 (2016) - [j10]Cátia M. Salgado
Ensemble fuzzy models in personalized medicine: Application to vasopressors administration. Eng. Appl. Artif. Intell. 49: 141-148 (2016) - [c40]Vanessa S. Cunha, Cátia M. Salgado, Susana M. Vieira
Fuzzy modeling to predict short and long-term mortality among patients with Acute Kidney Injury. FUZZ-IEEE 2016: 148-153 - [c39]Marta P. B. Fernandes, Joaquim L. Viegas
Analysis of residential natural gas consumers using fuzzy c-means clustering. FUZZ-IEEE 2016: 1484-1491 - [c38]Hugo Manuel Proença
Optimizing probabilistic fuzzy systems for classification using metaheuristics. FUZZ-IEEE 2016: 1635-1641 - [c37]Sérgio Curto, João Paulo Carvalho
Predicting ICU readmissions based on bedside medical text notes. FUZZ-IEEE 2016: 2144 - [c36]Joaquim L. Viegas
GA-ANN Short-Term Electricity Load Forecasting. DoCEIS 2016: 485-493 - [c35]Joaquim L. Viegas
Mining Consumer Characteristics from Smart Metering Data through Fuzzy Modelling. IPMU (1) 2016: 562-573 - [c34]Marta P. B. Fernandes, Joaquim L. Viegas
Seasonal Clustering of Residential Natural Gas Consumers. IPMU (1) 2016: 723-734 - [c33]Cátia M. Salgado
Fuzzy Modeling Based on Mixed Fuzzy Clustering for Multivariate Time Series of Unequal Lengths. IPMU (2) 2016: 741-751 - [e2]João Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I. Communications in Computer and Information Science 610, Springer 2016, ISBN 978-3-319-40595-7 [contents] - [e1]João Paulo Carvalho
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part II. Communications in Computer and Information Science 611, Springer 2016, ISBN 978-3-319-40580-3 [contents] - 2015
- [j9]P. F. Vieira, Susana M. Vieira
Designing closed-loop supply chains with nonlinear dimensioning factors using ant colony optimization. Soft Comput. 19(8): 2245-2264 (2015) - [c32]Lúcia P. Cruz, Susana M. Vieira, Susana Vinga:
Fuzzy Clustering for Incomplete Short Time Series Data. EPIA 2015: 353-359 - [c31]Joaquim P. L. Viegas, Susana M. Vieira, João M. C. Sousa:
Fuzzy clustering and prediction of electricity demand based on household characteristics. IFSA-EUSFLAT 2015 - [c30]Marta C. Ferreira, Cátia M. Salgado
Fuzzy modeling based on Mixed Fuzzy Clustering for health care applications. FUZZ-IEEE 2015: 1-5 - [c29]Cátia M. Salgado
Ensemble fuzzy classifiers design using weighted aggregation criteria. FUZZ-IEEE 2015: 1-5 - [c28]Hanna Schäfer
Analysing the segmentation of energy consumers using mixed fuzzy clustering. FUZZ-IEEE 2015: 1-7 - [c27]Hugo Algarvio
Electricity Usage Efficiency in Large Buildings: DSM Measures and Preliminary Simulations of DR Programs in a Public Library. PAAMS (Workshops) 2015: 249-259 - 2014
- [c26]Joaquim P. L. Viegas
Metaheuristics for the 3D bin packing problem in the steel industry. IEEE Congress on Evolutionary Computation 2014: 338-343 - [c25]Joao A. G. Sargo, Susana M. Vieira
Binary Fish School Search applied to feature selection: Application to ICU readmissions. FUZZ-IEEE 2014: 1366-1373 - [c24]Marta P. B. Fernandes
Multimodeling for the prediction of patient readmissions in Intensive Care Units. FUZZ-IEEE 2014: 1837-1842 - 2013
- [j8]Federico Cismondi, André S. Fialho, Susana M. Vieira
Missing data in medical databases: Impute, delete or classify? Artif. Intell. Medicine 58(1): 63-72 (2013) - [j7]Susana M. Vieira
Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients. Appl. Soft Comput. 13(8): 3494-3504 (2013) - [j6]Federico Cismondi, Leo A. Celi, André S. Fialho, Susana M. Vieira
Reducing unnecessary lab testing in the ICU with artificial intelligence. Int. J. Medical Informatics 82(5): 345-358 (2013) - [c23]André S. Fialho, Uzay Kaymak
Predicting intensive care unit readmissions using probabilistic fuzzy systems. FUZZ-IEEE 2013: 1-7 - [c22]Jose M. Rodrigues, André S. Fialho, Susana M. Vieira
Data mining and modeling to predict the necessity of vasopressors for ICU patients. FUZZ-IEEE 2013: 1-6 - [c21]Miguel Espinheira Silveira, Susana Margarida Vieira
An ACO Algorithm for the 3D Bin Packing Problem in the Steel Industry. IEA/AIE 2013: 535-544 - [c20]Susana M. Vieira
A decision support system for ICU readmissions prevention. IFSA/NAFIPS 2013: 251-256 - 2012
- [j5]Federico Cismondi, Abigail L. Horn, André S. Fialho, Susana M. Vieira
Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients. Expert Syst. Appl. 39(16): 12332-12339 (2012) - [j4]André S. Fialho, Federico Cismondi, Susana M. Vieira
Data mining using clinical physiology at discharge to predict ICU readmissions. Expert Syst. Appl. 39(18): 13158-13165 (2012) - [j3]Susana M. Vieira
Fuzzy criteria for feature selection. Fuzzy Sets Syst. 189(1): 1-18 (2012) - [c19]Susana M. Vieira
Metaheuristics for feature selection: Application to sepsis outcome prediction. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c18]André S. Fialho, Uzay Kaymak
Probabilistic fuzzy prediction of mortality in intensive care units. FUZZ-IEEE 2012: 1-8 - [c17]Federico Cismondi, André S. Fialho, Xiaoning Lu, Susana M. Vieira
ANN validation system for ICU neonatal data. IJCNN 2012: 1-4 - [c16]Ruben D. M. A. Pereira, João Miguel da Costa Sousa
Modified Sequential Forward Selection Applied to Predicting Septic Shock Outcome in the Intensive Care Unit. SMPS 2012: 469-477 - 2011
- [c15]Federico Cismondi, André S. Fialho, Susana M. Vieira
Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data. CIDM 2011: 224-231 - [c14]Federico Cismondi, André S. Fialho, Susana M. Vieira
Predicting laboratory testing in intensive care using fuzzy and neural modeling. FUZZ-IEEE 2011: 2096-2103 - [c13]André S. Fialho, Federico Cismondi, Susana M. Vieira
Fuzzy modeling to predict administration of vasopressors in intensive care unit patients. FUZZ-IEEE 2011: 2296-2303 - [c12]Ruben D. M. A. Pereira, André S. Fialho, Federico Cismondi, Susana M. Vieira
Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification. FUZZ-IEEE 2011: 2507-2512 - 2010
- [j2]Susana M. Vieira
Two cooperative ant colonies for feature selection using fuzzy models. Expert Syst. Appl. 37(4): 2714-2723 (2010) - [c11]Susana M. Vieira
Cohen's kappa coefficient as a performance measure for feature selection. FUZZ-IEEE 2010: 1-8 - [c10]André S. Fialho, Federico Cismondi, Susana M. Vieira
Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques. IPMU (2) 2010: 65-74 - [p1]Susana M. Vieira
Ant Feature Selection Using Fuzzy Decision Functions. Fuzzy Optimization 2010: 343-364
2000 – 2009
- 2009
- [c9]Susana M. Vieira, João Miguel da Costa Sousa, Uzay Kaymak:
Feature Selection Using Fuzzy Objective Functions. IFSA/EUSFLAT Conf. 2009: 1673-1678 - [c8]Rui Jorge Almeida, Susana M. Vieira, Viorel Milea, Uzay Kaymak, João Miguel da Costa Sousa:
Knowledge Discovery in the Prediction of Bankruptcy. IFSA/EUSFLAT Conf. 2009: 1785-1790 - 2008
- [c7]Susana M. Vieira
Fuzzy classification in ant feature selection. FUZZ-IEEE 2008: 1763-1769 - 2007
- [j1]Luís F. Mendonça
Decision tree search methods in fuzzy modeling and classification. Int. J. Approx. Reason. 44(2): 106-123 (2007) - [c6]Susana M. Vieira
Real-Time Fuzzy Predictive Control of a Column Flotation Process. FUZZ-IEEE 2007: 1-6 - [c5]Susana M. Vieira
Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers. IFSA (1) 2007: 778-788 - 2006
- [c4]Luís F. Mendonça
Fault Accommodation Using Fuzzy Predictive Control. FUZZ-IEEE 2006: 1535-1542 - [c3]Susana M. Vieira
Ant Based Fuzzy Modeling Applied to Marble Classification. ICIAR (2) 2006: 90-101 - 2005
- [c2]Susana M. Vieira, L. F. Mendonga, João Miguel da Costa Sousa:
Modified Regularity Criterion in Dynamic Fuzzy Modeling Applied to Industrial Processes. FUZZ-IEEE 2005: 483-488 - 2004
- [c1]Susana M. Vieira
Combination of fuzzy identification algorithms applied to a column flotation process. FUZZ-IEEE 2004: 421-426
Coauthor Index
João Miguel da Costa Sousa
aka: João M. C. Sousa
aka: João M. C. Sousa
[j25] [c64] [c63] [j23] [j22] [c62] [j21] [j20] [j19] [c61] [c60] [c59] [c57] [j18] [j17] [j16] [c56] [c55] [c54] [c52] [c51] [j15] [c49] [c48] [j13] [c43] [j11] [j10] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j9] [c31] [c30] [c28] [c26] [c25] [c24] [j8] [j7] [j6] [c23] [c22] [c21] [c20] [j5] [j4] [j3] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j2] [c11] [c10] [p1] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
Joaquim L. Viegas
aka: Joaquim P. L. Viegas
aka: Joaquim P. L. Viegas
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