| Introduction to artificial neural networks E Grossi, M Buscema European journal of gastroenterology & hepatology 19 (12), 1046-1054, 2007 | 391 | 2007 |
| Innovative diagnostic tools for early detection of Alzheimer's disease C Laske, HR Sohrabi, SM Frost, K López-de-Ipiña, P Garrard, M Buscema, ... Alzheimer's & Dementia 11 (5), 561-578, 2015 | 334 | 2015 |
| Back propagation neural networks M Buscema Substance use & misuse 33 (2), 233-270, 1998 | 298 | 1998 |
| Similarity coefficients for binary chemoinformatics data: overview and extended comparison using simulated and real data sets R Todeschini, V Consonni, H Xiang, J Holliday, M Buscema, P Willett Journal of chemical information and modeling 52 (11), 2884-2901, 2012 | 226 | 2012 |
| The interaction between culture, health and psychological well-being: Data mining from the Italian culture and well-being project E Grossi, G Tavano Blessi, PL Sacco, M Buscema Journal of Happiness Studies 13, 129-148, 2012 | 220 | 2012 |
| Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study E Grossi, C Olivieri, M Buscema Computer methods and programs in biomedicine 142, 73-79, 2017 | 135 | 2017 |
| Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive impairment subjects with high degree of accuracy? PM Rossini, M Buscema, M Capriotti, E Grossi, G Rodriguez, C Del Percio, ... Clinical Neurophysiology 119 (7), 1534-1545, 2008 | 117 | 2008 |
| The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux disease M Buscema, E Grossi International journal of data mining and bioinformatics 2 (4), 362-404, 2008 | 113 | 2008 |
| Genetic doping algorithm (GenD): theory and applications M Buscema Expert Systems 21 (2), 63-79, 2004 | 112 | 2004 |
| Metanet*: The theory of independent judges M Buscema Substance use & misuse 33 (2), 439-461, 1998 | 105 | 1998 |
| Auto-contractive maps: an artificial adaptive system for data mining. An application to Alzheimer disease M Buscema, E Grossi, D Snowdon, P Antuono Current Alzheimer Research 5 (5), 481-498, 2008 | 101 | 2008 |
| The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy M Buscema, P Rossini, C Babiloni, E Grossi Artificial Intelligence in Medicine 40 (2), 127-141, 2007 | 101 | 2007 |
| Improved artificial neural networks in prediction of malignancy of lesions in contrast‐enhanced MR‐mammography TW Vomweg, M Buscema, HU Kauczor, A Teifke, M Intraligi, S Terzi, ... Medical physics 30 (9), 2350-2359, 2003 | 85 | 2003 |
| A brief overview and introduction to artificial neural networks M Buscema Substance use & misuse 37 (8-10), 1093-1148, 2002 | 85 | 2002 |
| A new meta-classifier M Buscema, S Terzi, W Tastle 2010 Annual Meeting of the North American Fuzzy Information Processing …, 2010 | 83 | 2010 |
| Artificial neural networks accurately predict mortality in patients with nonvariceal upper GI bleeding G Rotondano, L Cipolletta, E Grossi, M Koch, M Intraligi, M Buscema, ... Gastrointestinal Endoscopy 73 (2), 218-226. e2, 2011 | 77 | 2011 |
| International experience on the use of artificial neural networks in gastroenterology E Grossi, A Mancini, M Buscema Digestive and liver disease 39 (3), 278-285, 2007 | 74 | 2007 |
| Self-reflexive networks: Theory· topology· applications M Buscema Quality and Quantity 29, 339-403, 1995 | 68 | 1995 |
| Prediction of optimal warfarin maintenance dose using advanced artificial neural networks E Grossi, GM Podda, M Pugliano, S Gabba, A Verri, G Carpani, ... Pharmacogenomics 15 (1), 29-37, 2014 | 66 | 2014 |
| An optimized experimental protocol based on neuro-evolutionary algorithms: application to the classification of dyspeptic patients and to the prediction of the effectiveness of … M Buscema, E Grossi, M Intraligi, N Garbagna, A Andriulli, M Breda Artificial Intelligence in Medicine 34 (3), 279-305, 2005 | 66 | 2005 |
