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Maurizio Fiasché
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2010 – 2019
- 2018
- [p5]Maurizio Fiasché, Diego E. Liberati, Stefano Gualandi
, Marco Taisch
Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach. Multidisciplinary Approaches to Neural Computing 2018: 191-201 - 2017
- [j4]David Opresnik, Maurizio Fiasché, Marco Taisch
An evolving fuzzy inference system for extraction of rule set for planning a product-service strategy. Inf. Technol. Manag. 18(2): 131-147 (2017) - 2016
- [c24]Ana M. Alexandru, Maurizio Fiasché, Claudia Pinna, Marco Taisch, Luca Fasanotti
Building a smart maintenance architecture using smart devices: A web 2.0 based approach. RTSI 2016: 1-6 - [c23]Maurizio Fiasché, Marta Pinzone
Human-centric factories 4.0: A mathematical model for job allocation. RTSI 2016: 1-4 - [p4]Manuel Lai, Giulia Molinari, Maurizio Fiasché, Rossella Luglietti:
Standardization and Green Labelling Procedure Methodology Developed for the Achievement of an Eco-Label for White'R Island. Advances in Neural Networks 2016: 481-487 - [p3]Maurizio Fiasché, Gaia Ripamonti, Francesco G. Sisca, Marco Taisch
A Novel Hybrid Fuzzy Multi-objective Linear Programming Method of Aggregate Production Planning. Advances in Neural Networks 2016: 489-501 - [p2]Marta Pinzone
A Multi-horizon, Multi-objective Training Planner: Building the Skills for Manufacturing. Advances in Neural Networks 2016: 517-526 - 2015
- [j3]Anju Verma, Maurizio Fiasché
Comparative study of existing personalized approaches for identifying important gene markers and for risk estimation in Type2 Diabetes in Italian population. Evol. Syst. 6(1): 15-22 (2015) - [c22]Francesco G. Sisca, Maurizio Fiasché
A Novel Hybrid Modelling for Aggregate Production Planning in a Reconfigurable Assembly Unit for Optoelectronics. ICONIP (2) 2015: 571-582 - [c21]Maurizio Fiasché, Gaia Ripamonti, Francesco G. Sisca, Marco Taisch, Anna A. Valente
Management integration framework in a shop-floor employing self-contained assembly unit for optoelectronic products. RTSI 2015: 569-578 - [c20]Ana M. Alexandru, Alice De Mauro, Maurizio Fiasché, Francesco G. Sisca, Marco Taisch, Luca Fasanotti
A smart web-based maintenance system for a smart manufacturing environment. RTSI 2015: 579-584 - [p1]Maurizio Fiasché
On the Use of Quantum-inspired Optimization Techniques for Training Spiking Neural Networks: A New Method Proposed. Advances in Neural Networks 2015: 359-368 - 2013
- [c19]Manuel Graña, Bruno Apolloni, Maurizio Fiasché
Social and Smart: Towards an Instance of Subconscious Social Intelligence. EANN (2) 2013: 302-311 - [c18]Maurizio Fiasché
A Comparison between the Use of ESNN on Long Stereo-EEG Recordings and Their Largest Lyapunov Exponent Profiles for Epileptic Brain Analysis. ICONIP (1) 2013: 545-552 - [c17]Maurizio Fiasché
SVM Tree for Personalized Transductive Learning in Bioinformatics Classification Problems. WIRN 2013: 223-231 - [c16]Bruno Apolloni, Maurizio Fiasché
Social things - The SandS instantiation. WOWMOM 2013: 1-6 - 2012
- [c15]Stefan Schliebs, Maurizio Fiasché
Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. ICANN (1) 2012: 604-611 - [c14]Maurizio Fiasché
Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain. ICANN (1) 2012: 653-660 - [c13]Maurizio Fiasché
A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems. ICONIP (3) 2012: 686-693 - 2011
- [c12]Anju Verma, Maurizio Fiasché
Knowledge Discovery and Risk Prediction for Chronic Diseases: An Integrated Approach. EANN/AIAI (1) 2011: 270-279 - [c11]Maurizio Fiasché
Incremental - Adaptive - Knowledge Based - Learning for Informative Rules Extraction in Classification Analysis of aGvHD. EANN/AIAI (1) 2011: 361-371 - [c10]Maurizio Fiasché, Francesco Carlo Morabito:
Quantum-Inspired Evolutionary Algorithm for Optimization Problems Approach. WIRN 2011: 139-146 - [c9]Maurizio Fiasché, Maria Cuzzola, Giuseppe Messina, Giuseppe Irrera, Francesco Carlo Morabito:
Personalized Modelling based Medical Decision Support System over Gene Expression Data: A New Framework Proposed. WIRN 2011: 186-194 - 2010
- [j2]Maurizio Fiasché, Maria Cuzzola, Pasquale Iacopino, Nikola K. Kasabov, Francesco Carlo Morabito:
Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis: A Computational Framework Proposed. Aust. J. Intell. Inf. Process. Syst. 12(4) (2010) - [j1]Matteo Cacciola, Giuseppe Megali, Maurizio Fiasché
A comparison between neural networks and k-nearest neighbours for blood cells taxonomy. Memetic Comput. 2(3): 237-246 (2010) - [c8]Maurizio Fiasché
Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis. ICANN (1) 2010: 217-223 - [c7]Maurizio Fiasché
Machine Learning and Personalized Modeling for Diagnosis of Acute GvHD: an Integrated Approach. WIRN 2010: 252-259
2000 – 2009
- 2009
- [c6]Maurizio Fiasché
A neural network model for early diagnosis of acute GVHD based on gene expression data. GENSiPS 2009: 1-4 - [c5]Maurizio Fiasché
Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. ICANN (2) 2009: 10-19 - [c4]Anju Verma, Maurizio Fiasché
Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach. ICONIP (2) 2009: 360-366 - [c3]Maurizio Fiasché
Computational Intelligence Methods for Discovering Diagnostic Gene Targets about aGVHD. WIRN 2009: 271-280 - 2008
- [c2]Matteo Cacciola, Maurizio Fiasché
A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework. ICONIP (2) 2008: 720-727 - 2007
- [c1]Nadia Mammone, Maurizio Fiasché, Giuseppina Inuso, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci:
Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism. KES (3) 2007: 414-421
Coauthor Index
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