Feedforward networks in financial predictions: the future that modifies the present

Massimo Budcema , Pier Luigi Sacco
Expert Systems 17 ( 3) 149 -170

21
2000
The general philosophy of Artificial Adaptive Systems (AAS)

P. M. Buscema
Archeologia e Calcolatori, Supplemento 6 - 2014

2014
Pattern Recognition for Flank Eruption Forecasting: An Application at Mount Etna Volcano (Sicily, Italy)

A. Brancato , P. M. Buscema , G. Massini , S. Gresta
Open Journal of geology 06 ( 7) 583 -597

3
2016
CORRELAZIONE TRA SPESSORE MEDIO-INTIMALE, PLACCHE CAROTIDEE E LESIONI CORONARICHE

M. Intraligi , E. Tremoli , L. Pustina , E. Grossi
CONVEGNO DI ECOGRAFIA CARDIOVASCOLARE

2002
Evaluating Ground-Water Quality Using Artificial Adaptive Systems

M. J. Friedel , A. Chambel , R. Litvak , C. Daughney
2014 AGU Fall Meeting 2014

2014
2001
Modellizzare la dinamica di urbanizzazione:reti neurali e automi cellulari a confronto

L. Diappi , P. Bolchi , M. Buscema
XXIII Conferenza Aisre "Città e territori tra identità e globalità" 1 -10

2002
Application of Data Fusion and Knowledge Extraction in Hydrogeology

M. J. Friedel , C. Daughney , M. Buscema , L. P. Moreira
2015 AGU Fall Meeting 2015

2015
ARTIFICIAL NEURAL NETWORKS IN THE RECOGNITION OF PATIENTS AT HIGH RISK OF CARDIOVASCULAR DISEASE

M. Intraligi , E. Tremoli , L. Pustina , E. Grossi
Artificial intelligence (AI) meets R&D fears and opportunities : the future creates the present. One year into the Bracco-Semeion partnership

2002
Intima media thickness and vascular risk factors for the recognition of patients at high risk of atherosclerosis

M. Intraligi , E. Tremoli , L. Pustina , E. Grossi
INTERNATIONAL SYMPOSIUM OF DRUG AFFECTING LIPID METABOLISM

2001
Innovative diagnostic tools for early detection of Alzheimer's disease

H.R. Sohrabi , H.R. Sohrabi , S.A. Bridenbaugh , S.R. Soekadar
Laske, C., Sohrabi, H.R. <https://researchrepository.murdoch.edu.au/view/author/Sohrabi, Hamid.html>ORCID: 0000-0001-8017-8682 <http://orcid.org/0000-0001-8017-8682>, Frost, S.M., López-de-Ipiña, K., Garrard, P., Buscema, M., Dauwels, J., Soekadar, S.R., Mueller, S., Linnemann, C., Bridenbaugh, S.A., Kanagasingam, Y., Martins, R.N. and O'Bryant, S.E. (2014) Innovative diagnostic tools for early detection of Alzheimer's disease. Alzheimer's & Dementia, 11 (5). pp. 561-578.

279
2014
OC.11.1 PREDICTIVE FACTORS OF RELEVANT ENDOSCOPIC FINDINGS IN PATIENTS WITH A REGULAR USE OF NSAIDS

L. Buri , C. Hassan , G. Bersani , M. Anti
Digestive and Liver Disease 42

2010
P.169 PREDICTIVE FACTORS OF RELEVANT ENDOSCOPIC FINDINGS IN ELDERLY PATIENTS AT UPPER ENDOSCOPY

L. Buri , C. Hassan , G. Bersani , M. Anti
Digestive and Liver Disease 42

2010
P.170 PREDICTIVE RULES TO SELECT UNINVESTIGATED AND UNCOMPLICATED DYSPEPTIC PATIENTS FOR UPPER ENDOSCOPY

L. Buri , C. Hassan , G. Bersani , M. Anti
Digestive and Liver Disease 42

2010
Toward an integrative approach in the analysis of dependency problems.

S. Larsson , J. Lilja , S. Borg , M. Buscema
Substance Use & Misuse 36 1323 -1356

12
2001
Gene-Gene and Gene-Clinical Factors Interaction in Acute Myocardial Infarction: A New Detailed Risk Chart

Federico Licastro , Martina Chiappelli , Elisa Porcellini , G Campo
Current Pharmaceutical Design 16 ( 7) 783 -788

16
2010
K-CM: a new artificial neural network. Application to supervised pattern recognition

M. Buscema , V. Consonni , D. Ballabio , A. Mauri
Chemometrics and Intelligent Laboratory Systems 138 110 -119

19
2014
Improved artificial neural networks in prediction of malignancy of lesions in contrast-enhanced MR-mammography

T. W. Vomweg , M. Buscema , H. U. Kauczor , A. Teifke
Medical Physics 30 ( 9) 2350 -2359

52
2003
ANNS in the recognition of refluxer and non refluxer gerd patients only on the basis of clinical data

F. Pacel , M. Buscema , M. Intraligi , G. Massini
Digestive and Liver Disease 33

2001