Giovanni Felici
Giovanni Felici
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Cited by
Cited by
Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers
G Ateniese, G Felici, LV Mancini, A Spognardi, A Villani, D Vitali
arXiv preprint arXiv:1306.4447, 2013
DNA barcoding of recently diverged species: relative performance of matching methods
R van Velzen, E Weitschek, G Felici, FT Bakker
PloS one 7 (1), e30490, 2012
Integrating simulation and optimisation in health care centre management
V De Angelis, G Felici, P Impelluso
European Journal of Operational Research 150 (1), 101-114, 2003
Gene expression biomarkers in the brain of a mouse model for Alzheimer's disease: mining of microarray data by logic classification and feature selection
I Arisi, M D'Onofrio, R Brandi, A Felsani, S Capsoni, G Drovandi, G Felici, ...
Journal of Alzheimer's Disease 24 (4), 721-738, 2011
Learning to classify species with barcodes
P Bertolazzi, G Felici, E Weitschek
BMC bioinformatics 10 (14), 1-12, 2009
A minsat approach for learning in logic domains
G Felici, K Truemper
INFORMS Journal on computing 14 (1), 20-36, 2002
Data mining and knowledge discovery approaches based on rule induction techniques
E Triantaphyllou, G Felici
Springer Science & Business Media, 2006
Supervised DNA Barcodes species classification: analysis, comparisons and results
E Weitschek, G Fiscon, G Felici
BioData mining 7 (1), 1-18, 2014
BLOG 2.0: a software system for character‐based species classification with DNA Barcode sequences. What it does, how to use it
E Weitschek, R Van Velzen, G Felici, P Bertolazzi
Molecular ecology resources 13 (6), 1043-1046, 2013
Predicting publication long-term impact through a combination of early citations and journal impact factor
G Abramo, CA D˘Angelo, G Felici
Journal of Informetrics 13 (1), 32-49, 2019
Combining EEG signal processing with supervised methods for Alzheimer˘s patients classification
G Fiscon, E Weitschek, A Cialini, G Felici, P Bertolazzi, S De Salvo, ...
BMC medical informatics and decision making 18 (1), 1-10, 2018
Integer programming models for feature selection: New extensions and a randomized solution algorithm
P Bertolazzi, G Felici, P Festa, G Fiscon, E Weitschek
European Journal of Operational Research 250 (2), 389-399, 2016
A polyhedral approach for the staff rostering problem
G Felici, C Gentile
Management Science 50 (3), 381-393, 2004
Alzheimer's disease patients classification through EEG signals processing
G Fiscon, E Weitschek, G Felici, P Bertolazzi, S De Salvo, P Bramanti, ...
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014
Improving search results with data mining in a thematic search engine
M Caramia, G Felici, A Pezzoli
Computers & Operations Research 31 (14), 2387-2404, 2004
Characterization of epithelial-mesenchymal transition intermediate/hybrid phenotypes associated to resistance to EGFR inhibitors in non-small cell lung cancer cell lines
V Fustaino, D Presutti, T Colombo, B Cardinali, G Papoff, R Brandi, ...
Oncotarget 8 (61), 103340, 2017
Logic classification and feature selection for biomedical data
P Bertolazzi, G Felici, P Festa, G Lancia
Computers & Mathematics with Applications 55 (5), 889-899, 2008
CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules
V Cestarelli, G Fiscon, G Felici, P Bertolazzi, E Weitschek
Bioinformatics 32 (5), 697-704, 2016
A novel method and software for automatically classifying Alzheimer˘s disease patients by magnetic resonance imaging analysis
F Previtali, P Bertolazzi, G Felici, E Weitschek
Computer methods and programs in biomedicine 143, 89-95, 2017
Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers
D Polychronopoulos, E Weitschek, S Dimitrieva, P Bucher, G Felici, ...
Genomics 104 (2), 79-86, 2014
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Articles 1–20