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Scientific journal articles

 

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

 

 

 

 

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M. Buscema, E. Grossi, M. Intraligi, N, Garbagna, A. Andriulli, M. Breda
An optimized experimental protocol based on neuro-evolutionary algorithms. Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treament
in Artificial Intelligence in Medicine, (2005) 34, 279-305
Abstract


 


 

M. Buscema, E. Grossi, D. Snowdon, P. Antuono, M. Intraligi, G. Maurelli, R. Savarè
Artificial Neural Network can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status
in Neuroinformatics, Winter 2004 2(4), pp. 399-416, Humana Press
Abstract


 


 

D. Baldassarre, E. Grossi,, M. Buscema, M. Intraligi, M. Amato, E. Tremoli, L. Pustina, S. Castelnuovo, S. Sanvito., L. Gerosa,C.R. Sirtori.
Recognition of patients with cardiovascolar disease by artificial neural networks
in Annals of Medicine 36, 2004, pp. 630-640, Taylor&Francis
Abstract


 


 

M. Buscema
Genetic Doping Algorithm (GenD): theory and applications
in Expert Systems, Vol. 2 no. 2, May 2004, pp. 63-79, Blackwell Publishing
Abstract


 


 

M. Buscema, M. Intraligi
Filosofia dei Sistemi Artificiali Adattivi
in Dedalo, 2-2003, Roma, pp. 27-40
Abstract


 


 

T. W. Vomweg, M. Buscema, H. U. Kauczor, A. Teifke, M. Intraligi, S. Terzi, C.P. Heussel, T. Achenbach, O. Rieker, D. Mayer, M. Thelen
Improved Artificial Neural Networks in dignity prediction of enhancing lesions in contrast-enhanced MR-Mammography
in Medical Physics, vol. 30 (n. 9) Settembre 2003, pp. 2350-2359
Abstract


 


 

A. Andriulli, E. Grossi, M. Buscema, V. Festa, N. Garbagna, M. Intraligi, P. Dominici, R. Cerutti, F. Perri
On behalf of the “N.U.D. look” Study Group. Contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia
Digestive and Liver Disease, Vol. 35, n. 4, Aprile 2003
Abstract


 


 

P. Mecocci, E. Grossi, M. Buscema, M. Intraligi, V. Serafini, R. Savarè, P. Rinaldi, A. Cherubini e U. Senin
Use of Artificial Networks in clinical trials: a pilot study to predict responsiveness to donepezil in alzheimer’s Disease
in JAGS (Journal of American Geriatric Society), vol. 50, n. 11, Novembre 2002, pp. 1857-1860
Abstract

 


M. Buscema
Arti e scienze dell’artificiale
in DNArt – I Biennale Merano arte, giugno-settembre 2002, De Agostini Rizzoli Arte&Cultura, pp. 32-37

 

 


 

M. Buscema
A brief overview and introduction to Artificial Neural Networks
in Substance Use & Misuse, Special Issue on The Middle Eastern Summer Institute on Drug Use
Proceedings: 1997/1999, Vol. 37 (8-10), giugno-agosto 2002, Marcel Dekker Inc., New York, 2002, pp. 1093-1148.

 


S. Larsson, J. Lilja, S. Borg, M. Buscema e D. Hamilton
Toward an integrative approach in the analysis of dependency problems
in Substance Use & Misuse, Vol. 36 (9&10), luglio-agosto 2001, Marcel Dekker, Inc., New York, 2001, pp. 1323-1356.

 

 

 


 

P. Mecocci, E. Grossi, M. Buscema, M. Intraligi, V. Serafini, R. Savarè, P. Rinaldi, A. Cherubini e U. Senin
Utilizzo delle reti neurali artificiali nei trial clinici: studio pilota per valutare la responsività al donepezil in pazienti con malattia di Alzheimer utilizzando un sistema di reti neurali
in Neurological Science, 2001, Springer–Verlag Ed., pp. 49-53.

 

 


 


M.C. Grassi, A.M. Caricati, M. Intraligi, M. Buscema e P. Nencini
Artificial neural network assessment of substitutive pharmacological treatments in hospitalised intravenous drug users
in Artificial Intelligence in Medicine, Vol. 628, 2001, Elsevier, pp. 1-13.

 

 


 

M. Buscema - P.Luigi, Sacco
Ecologie della socialità e dell’identità: la complessità comportamentale in un’economia post–industriale
in Kéiron, Vol. 7, Giugno 2001, Edizione Farmindustria, Roma, pp. 116–127.

 


M. Buscema
Reti neurali artificiali nelle tossicodipendenze
in Personalità/Dipendenze, Vol. 7(1), Aprile 2001, Erit–Italia e SDP, Mucchi Editore, Modena, pp. 17–22.

 


M. Buscema, P.Luigi Sacco
Feedforward networks in financial predictions: the future that modifies the present
in Expert Systems, Vol.17(3), Agosto 2000, Blackwell, Oxford UK. pp.149-170.
Abstract

 

 

 

 

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M. Buscema
Redes neuronales y problemas sociales
in Addiciones, Vol. 12(1), 2000, Socidrogalcohol, Palma de Mallorca, Spagna, pp. 99-126.

 


 

M. Buscema
Redes neuronales artificiales y toxicodependencias
in Addiciones, Vol. 11(4), 1999, Socidrogalcohol, Palma de Mallorca, Spagna, pp. 295–297.

 


 

M. Buscema
Artificial Neural Networks e loro applicazioni in medicina delle Tossicodipendenze
in Annali dell’Istituto Superiore di Sanità Vol. 36 n. 1, 2000, Roma, pp. 77-85
Abstract



M. Buscema
La costruzione adattiva dell’obiettività nelle Scienze Sociali: le Reti Neurali come strumento di inferenze diagnostica
in Keiron, Edizione Farmindustria, n 3 Aprile 2000, Roma, pp. 122-139

 

 


 

L. Diappi, P. Bolchi, L. Franzini, M. Buscema
The risk evaluation in urban sustainability: a threshold methodology and a neural network Investigation
38th Congress of the European Regional Science Association, Vienna, 28 Agosto-01 Settembre, 1998.

 


 

M. Buscema, L. Diappi e M. Ottanà,
Comportamento complesso della sostenibilità urbana: l’approccio neurale applicato alle città
presentato alla XVII Conferenza Italiana di Scienze Regionali,
in L. Senn e F. Boscacci (a cura di), I luoghi della trasformazione e dell’innovazione: economia, tecniche di analisi e politiche per la sostenibilità urbana,
Edizioni Seat, Torino, 1998, pp. 181-201.

 


 

M. Buscema, L. Diappi, M. Ottanà
A neural network investigation of the crucial facets of urban sustainability
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 3, 1998, Marcel Dekker, New York,, pp. 793-817

 


 

M. Buscema, M. Mazzetti di Pietralata, V. Salvemini, M. Intraligi, M. Indrimi
Application of Artificial Neural Networks to eating disorders
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 3, 1998, Marcel Dekker, New York, pp. 765-791

 


 

G. Maurelli, M. Di Giulio
Artificial neural network for the identification of the differences between "light" and "heavy" alcoholics, starting from five nonlinear biological variables
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 3, 1998, Marcel Dekker, New York, pp. 693-708

 


 

G. Massini, L. Shabtay
Use of constraints satisfaction network model for the evaluation of the methadone treatments for drug addicts
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 3, 1998, Marcel Dekker, New York, pp. 625-656

 


 

M. Buscema, M. Intraligi, R. Bricolo
Artificial neural network for drug vulnerability recognition and dynamic scenarios simulation
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 3, 1998, Marcel Dekker, New York, pp. 587-623

 


 

M. Breda
Appendix 1: convergence aspects on back propagation neural network
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 503-514

 


 

M. Buscema
Self-Recurrent neural network
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 495-501

 


 

G. Massini
Hopfield neural network
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 481-488

 


 

G. Massini
Interactive activation and competition networks
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 463-479

 

 

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M. Buscema
MetaNet: the theory og independent judges
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 439-461

 


 

M. Buscema
Self-reflexive networks
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 409-438

 


 

M. Buscema
Constraints satisfaction neural networks
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 389-408

 


 

M. Buscema
Recirculation neural network
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 383-388

 


 

M. Buscema
Back propagation neural network
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 2, 1998, Marcel Dekker, New York, pp. 233-270

 


 

M. Buscema
Theory: foundation of artificial neural network
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol. 33 n. 1, n. 2 Marcel Dekker, New York, pp. 1-220

 


 

M. Buscema
The Sonda Project: prevention, prediction and psycological Disorder
in Substance Use & Misuse, The International Journal of the Addictions,
Vol. 32 n. 9, 1997, Marcel Dekker, New York, pp. 1053-1153.

 


 

M. Buscema
A general presentation of Artificial Neural Networks
in Substance Use & Misuse, The International Journal of the Addictions,
Vol. 32 n. 1, 1997, Marcel Dekker, New York, pp. 97-112.

 


 

M.P. Bisagni, M. Buscema, C. Di Gennaro, C. Giuffredi, G. Rastelli, M. Rastelli, P.P. Vescovi
Measurement of the difficulty communicating in the family with an alcoholic subject, using artificial neural network simulation
in Alcologia, n. 8(1), 1996, Editrice Compositori Bologna, Bologna, pp. 21-28.

 


 

M. Buscema
Self-Reflexive Networks. Theory, Topology, Applications
in Quality & Quantity, Kluver Academic Publishers, The Netherlands, Vol. 29 n. 4, November 1995, pp. 339-403.

 


 

M. Buscema, L. Diappi, M. Ottanà, S. Stabilini
The neural vision of a competitive city: an exploration on the urban winning assest in the european context
in “Sixth Colloquium of the European Association of Qualitative and Theoretical Geographic”, SPA,Belgio,Settembre1995.
Abstract


M. Buscema
Squashing Theory: a prediction approach for drug behavior
in Drug & Society, The Haworth Press, Inc., PA, 1995, Vol. 8 n. 3/4, pp. 103-109.
Anche in Prevention Practice in Substance Abuse, C.G. Leukefeld and R.R. Clayton (a cura di),
the Haworth Press, Inc., PA, 1995, pp. 103-109.

 

 


 

M. Buscema
Una teoriá del procedimento de prevención
in “Tratado Sobre Prevención de las Drogodependencias”, FAD, Gobierno Vasco,
EDEX Kolektiboa, España, 1993.

 


 

M. Buscema
Ecologia umana: dalla biodiversità alla psicodiversità
in M. Ingrosso (a cura di), La salute come costruzione sociale, FrancoAngeli, Milano, 1994, pp.198-205.
anche in in Bollettino Sonda, anno II, n. 1/2, 1992
Presentato all’International Symposium Beyond Dualism: “Health as a social construction. Theories, Practicies, Policies”,
organizzato dall’Università di Parma e dal Consiglio d’Europa, Salsomaggiore Terme (Parma), 1992.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


 

 




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