M. Buscema, E. Grossi, M. Capriotti, C. Babiloni and P.M. Rossini
The I.F.A.S.T. Model Allows the Prediction of Conversion to Alzheimer Disease in Patients with Mild Cognitive Impairment with High Degree of Accuracy
in Current Alzheimer Research, 2010, 7, 173-187
Abstract

M. Buscema, E. Grossi, M. Breda, T. Jefferson
Outbreaks source: A new mathematical approach to identify their possible location
in Physica A, 388 (2009) 4736-4762.
Abstract

E. Grossi, M. Buscema
J-Net System: a new paradigm for Artificial Neural Networks applied to diagnostic imaging
in Proceedings NAFIPS 2008
Abstract

M. Buscema
The General Philosophy of Artificial Adaptive Systems
in Proceedings NAFIPS 2008
Abstract

P. M. Rossini, M. Buscema, E. Grossi
The Transferal of Evidences Derived from Clinical Research to Single Patient Level: Automatic Distinction of Normal Elderly vs. Mild Cognitive Impairment Subjects by Resting EEG Data Processed by IFAST, a Novel Intelligent System
in Proceedings NAFIPS 2008
Abstract

C. Helgason, M. Buscema, E. Grossi
Is Information Being Denied to the Scientific Community by the Reductionist Approach to Data Analysis in Stroke Related Clinical Trials ?
in Proceedings NAFIPS 2008
Abstract

T. Jefferson, E. Grossi, M. Buscema
Powerful Computerized Spatial Epidemiology and Semantics Through the Use of Novel Mathematical Objects: Can Artificial Intelligence Systems Identify Outbreak Sources?
in Proceedings NAFIPS 2008
Abstract

M. Buscema
Four New Adaptive Systems for Four Medical Applications – Part 2
in Proceedings NAFIPS 2008
Abstract

M. Buscema
Four New Adaptive Systems for Four Medical Applications – Part 1
in Proceedings NAFIPS 2008
Abstract

M. Buscema, E. Grossi,
The Semantic Connectivity Map: an adapting self-organizing knowledge discovery method in data bases. Experience in Gastro-oesophageal reflux disease
in International Journal of Data Mining and Bioinformatics (IJDMB), Vol 2. Issue4 2008, pp. 362-404
Abstract

M. Buscema, E. Grossi, D. Snowdon, P. Antuono
Auto-Contractive Maps: an artificial adaptive system for data mining. An application to Alzheimer Disease
in Current Alzheimer Research, 2008 , 5, 481-498
Abstract

E. Grossi, R. Marmo, M. Intraligi and M. Buscema
Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding
in Medical Informatics Insights 2008:1 1–13
Abstract

S Penco, M Buscema, MC Patrosso, A Marocchi, E Grossi
New application of intelligent agents in sporadic Amyotrophic Lateral Sclerosis identifies unexpected specific genetic background,
in BMC Bioinformatics 2008, 9:254.
Abstract

E Lahner, M Intraligi, M Buscema, M Centanni, L Vannella, E Grossi, B Annibale
Artificial neural networks in the recognition of presence of thyroid disease in patients with atrophic body gastrics,
in World Journal of Gastroenterology, 2008 January 28; 14(4):563-568.

P.M. Rossini, M. Buscema, M. Capriotti, E. Grossi, G. Rodriguez, C. Del Percio, Claudio Babiloni
Is it possible to automaticaly distinguish resting EEG data of normal elderly vs mild cognitive impairment subjects with high degree of accuracy?
in Clinical Neurophysiology, 119 (2008) pp 1534-1545
Abstract

M. Buscema, L. Catzola, E. Grossi
Images as active connection matrixes: the JNet System
in International Journal of Intelligent Computing in Medical Sciences and Image Processing,
Vol I. No 3, Issue 1, 2007
Abstract

Massimo Buscema, Massimiliano Capriotti, Francesca Bergami, Claudio Babiloni, Paolo Rossini and Enzo Grossi
The Implicit Function as Squashing Time Model: a novel parallel nonlinear EEG analysis technique
distinguishing mild cognitive impairment and Alzheimer’s Disease subjects with high degree of accuracy
in Computational Intelligence and Neuroscience, Volume 2007
Abstract

M. Buscema, P. Rossini, C. Babiloni, E. Grossi
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy
in Artificial Intelligence in Medicine 39 (2007) 40, 127-141
Abstract

E.Grossi , A. Mancini, M.Buscema
International experience on the use of artificial neural networks in gastroenterology
in Digestive and liver disease 39 (2007) 278-285
Abstract

M. Buscema, S. Terzi, G. Maurelli, M. Capriotti, V.Carlei
The smart library architecture of an orientation portal
in Quality and Quantity, (2006) 40: 911-933, Springer
Abstract

C. Meraviglia, G. Massini, D. Croce and M. Buscema
GenD: an evolutionary system for resampling in survey research
in Quality and Quantity, (2006) 40: 825-859, Springer
Abstract

M. Buscema, E. Grossi
Artificial Intelligence and outcome research
in Drug Development Research, 67: 227-2 (2006)
Abstract

M. Buscema, S. Terzi
Pst: a new evolutionary approach to topographic mapping
in WSEAS Transactions on information science and applications, Issue 9, Volume 3, September 2006, pp.1704-1710
Abstract

M. Buscema, S. Terzi, M. Breda
Using sinusoidal modulated weights improve feed-forward neural networks performances in classification and functional approximation problems
in WSEAS Transactions on information science and applications, Issue 5, Volume 3, May 2006, pp.885-893
Abstract

M. Buscema, S. Terzi, M. Breda
A feed forward sine based neural network for functional approximation of a waste incinerator emissions
in Proceedings of the 8th WSEAS Int. Conference on Automatic Control, Modeling and Simulation,
Prague, Czech Republic, March 12-14, 2006 (pp276-280)
Abstract

L.P. De Vreese, S. Pradelli, G. Massini, M. Buscema, R. Savarè, E. Grossi
The Travelling salesman problem as a new screening test in early Alzheimer's disease: an explorarory study. Visual problem solving in AD
in Aging Clinical and Experimental Research , 2005, pp. 458-464

E. Lahner, E. Grossi, M.Intraligi, M. Buscema, V. Corleto, G. Delle Fave, B. Annibale
Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastritis
in World Journal of Gastroenterol, 2005; 11(37): 5867-5873
Abstract

M. Di Luca, E. Grossi, B. Borroni, M. Zimmerman, E. Marcello, F. Colciaghi, F. Gardoni, M. Intraligi, A. Padovani e M. Buscema
Artificial neural networks allow the use of simultaneous measurements of Alzheimer Disease markers for early detection of the disease
in Journal of Translational Medicine (2005, 3:30)
Abstract

E. Grossi e M. Buscema
The potential role played by artificial adaptive systems enhancing our understanding of Alzheimer Disease. The italian experience within Italian Interdisciplinary Network on Alzheimer Disease
in Neuroscience research communication , Vol. 35, No 3
Abstract

S. Penco, E. Grossi, S. Cheng, M. Intraligi, G. Maurelli, M. C. Patrosso, A. Marocchi e M. Buscema
Assessment of the Role of Genetic Polymorphism in Venous Thrombosis Through Artificial Neural Networks
in Annals of Human Genetics (2005) 69,1-14
Abstract

E. Grossi, G. Massini, M. Buscema, R. Savarè, G. Maurelli
Two Different Alzheimer Diseases in Men and Women: Clues From Advanced Neural Networks and Artificial Intelligence
in Gender Medicine, 2005, Vol. 2, N. 2
Abstract