Buscema PM, Massini G, Raimondi G, Caporaso G, Breda M, Petritoli R; A Pattern Recognition Analysis of Vessel Trajectories, Algorithms 2023, 16(9), 414; https://doi.org/10.3390/a16090414
Buscema, P.M.; Lodwick, W.A.; Asadi-Zeydabadi, M.; Newman, F.; Breda, M.; Petritoli, R.; Massini, G.; Buscema, D.; Dominici, D.; Radicioni, F. Twisting Theory: A New Artificial Adaptive System for Landslide Prediction. Geosciences 2023, 13, 115. https://doi.org/10.3390/geosciences13040115
R. Sisto, A. Moleti , P. Capone , F. Sanjust , L. Cerini, G. Tranfo , G. Massini , S. Buscema , P.M. Buscema and P. Chiarella
MicroRNA expression is associated with auditory dysfunction in workers exposed to ototoxic solvents and noise
Front. Public Health 10:958181. (2022)
doi: 10.3389/fpubh.2022.958181
P.M. Buscema, G. Ferilli, C. Gustafsson, G. Massini, P.L. Sacco,
A nonlinear, data-driven, ANNs-based approach to culture-led development policies in rural areas: The case of Gjakove and Peć districts,
Western Kosovo,Chaos, Solitons & Fractals, Volume 162,2022,112439,ISSN 0960-0779,
https://doi.org/10.1016/j.chaos.2022.112439.
P.M Buscema, F. Della Torre, G. Massini, G. Ferilli, P.L. Sacco,
Reconstructing the Emergent Organization of Information Flows in International Stock Markets: A Computational Complex Systems Approach.
Comput Econ (2022)
https://doi.org/10.1007/s10614-022-10267-1
A.Allamani, F. Voller, S. Bravi, P. Pepe, M. Biffino, P. M. Buscema, G. Maurelli, G. Massini, S Einstein, J. Manthey, J. Rehm,Alcohol Addiction: One Entity or Different Entities? A DSM-4-Based Attempt Toward a Geographicization of Alcohol Addiction and Abuse
in Alcohol and Alcoholism, 2022; agac021
https://doi.org/10.1093/alcalc/agac021
C.Erspamer, F. Della Torre, G. Massini, G. Ferilli, P.L. Sacco, P.M. Buscema,
Global world (dis-)order? Analyzing the dynamic evolution of the micro-structure of multipolarism by means of an unsupervised neural network approach
in Technological Forecasting and Social Change, Vol 175, 2022
https://doi.org/10.1016/j.techfore.2021.121351
M.Amato, P.M.Buscema, G. Massini, G.Maurelli, E.Grossi, B.Frigerio, A.L.Ravani, D.Sansaro, D.Coggi, C.Ferrari, A.L.Bartorelli, F.Veglia, E.Tremoli, D.Baldassarre,
Assessment of New Coronary Features on Quantitative Coronary Angiographic Images With Innovative Unsupervised Artificial Adaptive Systems: A Proof-of-Concept Study
in Frontiers Cardiovascular Medicine, vol 8, 2021
https://www.frontiersin.org/article/10.3389/fcvm.2021.730626
M. Asadi Zeydabadi, M.Buscema, W.Lodwick, G.Massini, F. Della Torre, F.Newman,
Analysis of COVID-19 pandemic in USA, using Topological Weighted Centroid,
in Biology and Medicine,Volume 136,2021,
https://doi.org/10.1016/j.compbiomed.2021.104670.
M. De Carlo, G. Ferilli, F. d’Angella, P.M. Buscema,
Artificial intelligence to design collaborative strategy: An application to urban destinations,
Journal of Business Research, Elsevier, October 2020 https://doi.org/10.1016/j.jbusres.2020.09.013.
P.M.Buscema, F. Della Torre, M.Breda, G.Massini, E.Grossi
COVID-19 in Italy and Extreme Data Mining
in Physica A, 25 July 2020 https://www.sciencedirect.com/science/article/pii/S0378437120305173
L. Gitto, G. Massini, F.S. Mennini, C. Mento, P.M. Buscema
Affective symptoms and postural abnormalities as predictors of headache: an application of artificial neural networks
in Neural Network World, 1/2020, 1–26 http://dx.doi.org/10.14311/nnw.2020.30.001
P.M.Buscema, M. Asadi-Zeydabadi, W. Lodwick, A. Nde Nembot, A. Bronstein & F. Newman
Analysis of the Ebola Outbreak in 2014 and 2018 in West Africa and Congo by Using Artificial Adaptive Systems
in Applied Artificial Intelligence, 2020 DOI: 10.1080/08839514.2020.1747770
P.M.Buscema, E.Grossi, G.Massini, M.Breda, F. Della Torre
Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems
in Computer Methods and Programs in Biomedicine, Elsevier,Volume 191, July 2020, 105401, https://doi.org/10.1016/j.cmpb.2020.105401
S. Zollini, M. Alicandro, M.Cuevas-González, V.Baiocchi, D.Dominici, P.M.,Buscema, P.M.
Extraction Based on an Active Connection Matrix (ACM) Image Enhancement Strategy
in Journal of Marine Science and Engineering. 2020; 8(1):9. https://doi.org/10.3390/jmse8010009
N.C.D’Amico, E.Grossi, G.Valbusa, F.Rigiroli, B.Colombo, M.Buscema, D.Fazzini, M.Ali, A.Malasevschi, G.Cornalba, S.Papa,
A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI
in European Radiology Experimental, Springer, (2020) 4:5 https://doi.org/10.1186/s41747-019-0131-4 , 28 January , 2020.
Luisella Vigna, Amedea Silvia Tirelli, Enzo Grossi, Stefano Turolo, Laura Tomaino, Filomena Napolitano, Massimo Buscema & Luciano Riboldi (2019)
Directional Relationship Between Vitamin D Status and Prediabetes: A New Approach from Artificial Neural Network
in a Cohort of Workers with Overweight-Obesity, Journal of the American College of Nutrition, 38:8, 681-692, DOI: 10.1080/07315724.2019.1590249
E.Grossi, P.M.Buscema, F. Della Torre, R. J. Swatzyna,
The “MS-ROM/IFAST” Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy
in Clinical EEG and Neurosciences, https://doi.org/10.1177/1550059419861007, July 11, 2019.
A.Brancato, P.M.Buscema, G.Massini, S.Gresta, G.Salerno, F. Della Torre
K-CM application for supervised pattern recognition at Mt. Etna: an innovative tool to forecast flank eruptive activity
in Bulletin of Volcanology 81(7) , DOI: 10.1007/s00445-019-1299-4 , July 2019.
P.M. Buscema, G. Ferilli, P.L. Sacco,
The Complex Dynamic Evolution of Cultural Vibrancy in the Region of Halland, Sweden
in Sage Jornals, https://doi.org/10.1177/0160017619849633, May 23, 2019.
D.Dominici, S. Zollini, M. Alicandro, F. Della Torre, P.M.Buscema, V. Baiocchi,
High Resolution Satellite Images for Instantaneous Shoreline Extraction Using New Enhancement Algorithms,
in Geosciences 2019, 9(3), 123; https://doi.org/10.3390/geosciences9030123 (registering DOI) – 11 March 2019
M. Alicandro , D. Dominici, P.M. Buscema,
A New Enhancement Filtering Approach for the Automatic Vector Conversion of the UAV Photogrammetry Output,
in: Ioannides M. et al. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2018. Lecture Notes in Computer Science, vol 11196. Springer, Cham (2018)
https://doi.org/10.1007/978-3-030-01762-0_26
L.Vigna, A. Brunani, A. Brugnera, E. Grossi, A.Compare, A.S. Tirelli, D.M.Conti , G.M. Agnelli, L.L.
Andersen, P.M.Buscema, L. Riboldi,
Determinants of metabolic syndrome in obese workers: gender differences in perceived job-related stress and in psychological characteristics identified using artificial neural networks,
in CrossMark, Springer International Publishing AG, part of Springer Nature 2018. https://doi.org/10.1007/s40519-018-0536-8
P.M. Buscema, P.L. Sacco, F. Della Torre, G. Massini, M. Breda, G. Ferilli,
Theory of impossible worlds: Toward a physics of information
in Chaos, American Institute of Physics, https://doi.org/10.1063/1.5024371, May, 2018.
P.M. Buscema, P.L. Sacco, G.Massini, F. Della Torre, M. Brogi, M. Salonia, G. Ferilli,
Unraveling the space grammar of terrorist attacks: A TWC approach
in Technological Forecasting & Social Change, Elsevir, https://doi.org/10.1016/j.techfore.2018.02.006, February, 2018.
P.M. Buscema, G. Ferilli, P.L. Sacco
The meta-geography of the open society: An Auto-CM ANN approach
in Expert Systems With Applications, Elsevir, https://doi.org/10.1016/j.eswa.2018.01.01 , January, 2018.
P.M. Buscema, G. Massini, P.L. Sacco
The Topological Weighted Centroid (TWC): A topological approach to the time-space structure of epidemic and pseudo-epidemic processes
in Physica A, doi.org/10.1016/j.physa.2017.09.050, November 2017
P.M. Buscema, G. Massini, M. Fabrizi, M. Breda, F. Della Torre
The ANNS approach to DEM reconstruction
in Computational Intelligence, Wiley, DOI: 10.1111/coin.12151, November 2017.
P.M. Buscema, P.L. Sacco
Digging deeper on “deep” learning: A computational ecology approach
in BEHAVIORAL AND BRAIN SCIENCES (2017), pages 28-29, doi: 10.1017/S0140525X1700005X, e256, November 2017.
M.J. Friedel, P.M. Buscema, L.E. Vicente, F. Iwashita, A. Koga-Vicente
Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow
in International Journal of Digital Earth, Taylor & Fancis Group. Doi: 10.1080/17538947.2017.1349841, 11, July 2017.
F.S. Mennini, L. Gitto, S. Russo, A. Cicchetti, M. Ruggeri, S. Coretti, G. Maurelli, P.M. Buscema
Does regional belonging explain the similarities in the expenditure determinants of Italian healthcare deliveries? An approach based on Artificial Neural Networks
in Economic Analysis and Policy 55 (2017) 47–56, Elsevier, http://dx.doi.org/10.1016/j.eap.2017.04.005. 29 April 2017.
G.M. Podda, E. Grossi, T. Palmerini, M. Buscema, E.A. Femia, D. Della Riva, S. de Servi, P. Calabrò, F. Piscione, D.Maffeoh, A. Tosoi, C. Palmieri, M. De Carlok, D. Capodanno, P. Genereux, M.Cattaneo,
Prediction of high on-treatment platelet reactivity in clopidogrel-treated patients with acute coronary syndromes, in International Journal of Cardiology, Elsevier, 2017, https://doi.org/10.1016/j.ijcard.2017.03.074
A. Loquercio, F. Della Torre, P.M. Buscema
Computational Eco-Systems for Handwritten Digits Recognition
in arXiv1703.01872v1 [stat.ML] 6 Mar 2017
E. Grossi, C. Olivieri, P.M. Buscema
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study
in Computer Methods and Programs in Biomedicine 142 (2017) 73–79. Elsevier. http://dx.doi.org/10.1016/j.cmpb.2017.02.002. 2017, 02, 6.
P.M. Buscema, G. Ferilli, P.L. Sacco
What kind of ‘world order’? An artificial neural networks approach to intensive data mining
Technological Forecasting & Social Change. Elsevier. January, 2017.
G. Ferilli, P.L. Sacco, E. Teti, P.M. Buscema
Top corporate brands and the global structure of country brand positioning: An AutoCM ANN approach
in Expert Systems With Applications 66 (2016) 62–75. Elsevier. 3 September 2016.
A. Brancato, P.M. Buscema, G. Massini, S. Gresta
Pattern Recognition for Flank Eruption Forecasting: An Application at Mount Etna Volcano (Sicily, Italy)
in Open Journal of Geology, 2016, 6, 583-597. Published Online July 2016 in SciRes. http://dx.doi.org/10.4236/ojg.2016.67046. Scientific Research Publishing. 26 July 2016.
P.M. Buscema, P.L. Sacco
MST Fitness Index and implicit data narratives: A comparative test on alternative unsupervised algorithms
in Physica A, 461 (2016) 726–746. Elsevier. 8 June 2016.
P.M. Buscema, G. Maurelli, F.S. Mennini, L. Gitto, S. Russo, M. Ruggeri, S. Coretti, A. Cicchetti
Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory
in Quality & Quantity, 10.1007/s11135-016-0329-y, Springer Science+Business Media Dordrecht 2016. 24 March 2016.
P.M. Buscema, L. Gitto, S. Russo, A. Marcellusi, F. Fiori, G. Maurelli, G. Massini, F.S. Mennini
The perception of corruption in health: AutoCM methods for an international comparison
in Quality & Quantity, International Journal of Methodology, ISSN 0033-5177, DOI 10.1007/s11135-016-0315-4. 20 , February 2016.
V. Massimi, M. Asadi-Zeydabady, P.M. Buscema, D. Dominici, W. Lodwick, L. Simeoni
The contribution of Artificial Adaptive System to limit the influence of systematic errors in the definition of the kinematic behavior of an extremely-slow landslide
in Engineering Geology, Available online 30 December 2015.
P.M. Buscema, M. Asadi-Zeydabadi, W. Lodwick, M. Breda
The H0 function, a new index for detecting structural/topological complexity information in undirected graphs
Elsevier, Physica A 447 (2016) 355–378. 23 December 2015.
P.M. Buscema
Why Mathematical Computer Simulations Are the New Laboratory for Scientists
in Substance Use & Misuse, 50:8-9, 1058-1078. 11 Septembre 2015.
P.M. Buscema, P.L. Sacco, G. Ferilli
Multidimensional Similarities at a Global Scale: An Approach to Mapping Open Society Orientations
in Springer Science+Business Media Dordrecht 2015. Social Indicators Research An International and Interdisciplinary Journal for Quality-of-Life Measurement. ISSN 0303-8300, Volume 128, Number 3, Soc Indic Res (2016) 128:1239-1258 DOI 10.1007/s11205-015-1077-4. August 2015.
P.M. Buscema, G. Massini, G. Maurelli
Artificial Adaptive Systems to predict the magnitude of earthquakes
in Bollettino di Geofisica Teorica ed Applicata. Vol. 56, n. 2, pp. 227-256; June 2015.
P.M. Buscema, W.J. Tastle
Artificial Neural Network. What-If Theory
in International Journal of Information Systems and Social Change, 6(4), 52-81, October-December 2015. July 2015.
P.M. Buscema, E. Grossi, L. Montanini, M.E. Street
Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles
in Plos one, DOI:10.1371/journal.pone. 0126020, July 2015.
P.M. Buscema, F.Vernieri, G. Massini, F. Scrascia, M. Breda, P.M. Rossini, E. Grossi
An improved I-FAST system for the diagnosis of Alzheimer’s disease from unprocessed electroencephalograms by using robust invariant features
in Artificial Intelligence in Medicine 64 (2015) 59–74. Elsevier, May 2015
A. Narzisi, F.Muratori, P.M. Buscema, S. Calderoni, E. Grossi
Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networks
in Neuropsychiatric Disease and Treatment 2015:11 1587–1599, Dove press, 30 June 2015 https://doi.org/10.2147/NDT.S81233
G. Ferilli , P.L. Sacco, P.M. Buscema, G. Tavano Blessi
Understanding Cultural Geography as a Pseudo-Diffusion Process: The Case of the Veneto Region
in Economies 2015, 3, 100-127; doi: 10.3390/economies3020100.
F. Coppedè, E. Grossi, A. Lopomo, R. Spisni, P.M. Buscema, L. Migliore
Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer
in Epigenomics, (2015) 7(2), pp. 175–186, DOI: 10.1371/journal.pone.0125876.
F. Drenos, E. Grossi, P.M. Buscema, S.E. Humphries
Networks in Coronary Heart Disease Genetics As a Step towards Systems Epidemiology
in PLOS ONE, DOI:10.1371/journal.pone.0125876, May 7, 2015.
P.M. Buscema, P.L. Sacco, G. Ferilli, M. Breda, E. Grossi
Analyzing the semantics of point spaces through the topological weighted centroid and other mathematical quantities: the hidden geometry of the global economic order
in Computational Intelligence, Volume 31, Number 3, 2015.
F. Licastro, M. Ianni, R. Ferrari, G. Campo, P.M. Buscema, E. Grossi, E. Porcellini
A New Risk Chart for Acute Myocardial Infarction by a Innovative Algorithm
in Proceedings of the International Conference on Health Informatics (HEALTHINF 2015), pages 252-259, gen 2015. DOI: 10.5220/0005183102520259.
M. Gironi, B. Borgiani, E. Farina, E. Mariani, C. Cursano, M. Alberoni, R. Nemni, G. Comi, P.M. Buscema, R. Furlan, E. Grossi
A Global Immune Deficit in Alzheimer’s Disease and Mild Cognitive Impairment Disclosed by a Novel Data Mining Process
in Journal of Alzheimer’s Disease 43 (2015) 1199–1213. DOI 10.3233/JAD-141116.
P.M. Buscema, V. Consonni, D. Ballabio, A.Mauri, G. Massini , M. Breda , R. Todeschini
K-CM: A new artificial neural network. Application to supervised pattern recognition
in Chemometrics and Intelligent Laboratory Systems 138 (2014) 110–119.
F. Licastro, M. Ianni, G. Campo, R. Ferrari, E. Porcellini, P.M. Buscema, E. Grossi
A New Risk Chart of Acute Myocardial Infarction in Men by an Innovative Algorithm: A Pilot Study
in Current Pharmacogenomics and Personalized Medicine, pages 159-166, dicember 2014.
C. Laske, H.R. Sohrabi, S.M. Frost, K. Lopez-de-Ipina, P. Garrard, P.M. Buscema, J. Dauwels, S.R. Soekadar, S. Mueller, C. Linnemann, S.A. Bridenbaugh, Y. Kanagasingam, R.N. Martins, S.E. O’Bryant
Innovative diagnostic tools for early detection of Alzheimer’s disease
in Alzheimer’s & Dementia, Eselvier Editore, dicember 2014.
P.M. Buscema
Analytical Archaeology and Artificial Adaptive Systems
in Archeosema Artificial Adaptive Systems for the Analysis of Complex Phenomena (Collected Papers in Honour of David Leonard Clarke), M. Ramazzotti Ed, ISSN 2385-202X, All’Insegna del Giglio, November 2014.
P. M. Buscema, G. Massini, G. Maurelli
Artificial Neural Networks An overview and their use in the analysis of the AMPHORA-3 Dataset
in Informa Healthcare, Substance Use & Misuse, Early Online:1–14, 2014. Luglio 2014.
A. Allamani, F. Voller, P. Pepe, M. Baccini, G. Massini, F. Cipriani
Italy Between Drinking Culture and Control Policies for Alcoholic Beverages
in Substance Use & Misuse, Early Online:1–19, 2014.
A. Allamani, P. Pepe, M. Baccini, G. Massini, F. Voller
Europe. An Analysis of Changes in the Consumption of Alcoholic Beverages: The Interaction Among Consumption, Related Harms, Contextual Factors and Alcoholic Beverage Control Policies
in Substance Use & Misuse, Early Online:1–24, July 2014. DOI:10.3109/10826084.2014.925314
R.A. Knibbe, M. Derickx, A. Allamani, G. Massini
Alcohol Consumption and its Related Harms in the Netherlands Since 1960: Relationships With Planned and Unplanned Factors
in Substance Use & Misuse, Early Online:1–12, 2014
E. Grossi, G.M. Podda, M. Pugliano, S. Gabba, A. Verri, G. Carpani, P.M. Buscema, G. Casazza, M. Cattaneo
Prediction of optimal warfarin maintenance dose using advanced artificial neural networks
in Pharmacogenomics, 2014, 15(1), 29–37.
A.C. Bronstein, P.M. Buscema, A. Esfahani, W.A. Lodwick, E. Grossi
Locating the source of public health events using intelligent adaptive systems: 2011 United States listeriosis outbreak linked to whole cantaloupes
in Clinical Toxicology 51,7,625-626, Informa Healthcare, 2013.
A. Compare, E. Grossi, P.M. Buscema , C. Zarbo, M. Xia, F. Faletra, E. Pasotti, T. Moccetti, P.M.C. Mommersteeg, A. Auricchio
Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease
in Hindawi Publishing Corporation Cardiovascular Psychiatry and Neurology, August 2013.
F. Coppedè, E. Grossi, P.M. Buscema, L. Migliore
Application of Artificial Neural Networks to Investigate One-Carbon Metabolism in Alzheimer’s Disease and Healthy Matched Individuals
in Plos One, 2013, Vol 8 Issue 8
Abstract
M.E. Street, P.M. Buscema, A. Smerieri, L. Montanini, E. Grossi
Artificial neural networks, and evolutionary algorithms as a systems biology approach to a data-base on fetal growth restriction
in Progress in Biophysics and Molecular Biology, 2013
Abstract
P.M. Buscema, E. Grossi A. Bronstein, W. Lodwick, M. Asadi-Zeydabadi, R. Benzi, F. Newman
A new algorithm for identifying possible Epidemic sources with application to the german Escherichia Coli outbreak
in International Journal of Geo-Information 2013, 2, 155-200
Abstract
P.M. Buscema, M. Breda, W. Lodwick
Training with Input Selection and Testing (TWIST) Algorithm: a significant Advance in pattern recognition performance of machine learning
in Journal of Intelligent Learning Systems and Applications, 2013, 5, 29-38
Abstract
R. Todeschini, V. Consonni, H. Xiang, J. Holliday, P.M. Buscema, P. Willett
Similarity coefficients for binary chemoinformatics data: overview and extended comparison using simulated and real data sets
in Journal of Chemical information and Modeling 2012, 52 pp 2284-2901
Abstract
G. Ferilli, P.M. Buscema, P.L. Sacco
The non linear relationship between scientific production and national states’ journal
in Advance in Computer Science and Engineering, Vol 9 N. 1, 2012, pp 47-65
E. Grossi, A. Compare, P.M. Buscema
The concept of individual semantic maps in clinical psychology: a feasibility study on a new paradigm
in Quality and Quantity 2012
Abstract
P.M. Buscema, S. Penco, E. Grossi
A novel mathematical approach to define the genes/SNPs conferring risk or protection in sporadic amyotrophic lateral sclerosis based on Auto ContractiveMap neural networks and graph theory
in Neurology Research International Volume 2012
Abstract
P.M. Buscema
Fathoming failure
in Substance Use & Misuse, 47:1473–1474, 2012
C.Eller-Vainicher, I. Chiodini, I.Santi, M. Massarotti, L. Pietrogrande, E. Cairoli, P. Beck-Peccoz, M. Longhi, V.Galmarini, G. Gandolini, M.Bevilacqua, E. Grossi
Recognition of morphometric vertebral fractures by artificial neural networks: analysis from GISMO Lombardia Database
in Diabetes Care, 2011
Abstract
C. Eller-Vainicher, V.V. Zhukouskaya, Y.V. Tolkachev, S.S. Koritko, E. Cairoli, E. Grossi, P. Beck-Peccoz, I. Chiodini, A.P. Shepelkevich
Low bone mineral density and its predictors in Type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis
in Diabetes Care, 2011
Abstract
L. Buri, A. Zullo, C. Hassan, G. Bersani, M. Anti, M. A. Bianco, L. Cipolletta, E. Di Giulio, G. Di Matteo, L. Familiari, L. Ficano, P. Loriga, S. Morini, V. Pietropaolo, A. Zambelli, E. Grossi, F. Tessari, M. Intraligi, P.M. Buscema , SIED Appropriateness Working Group
Upper GI endoscopy in elderly patients: predictive factors of relevant endoscopic findings
in Internal and Emergency medicine, 2011
Abstract
E. Grossi, G. Tavano Blessi, P.L. Sacco
The interaction between culture, health and psychological well-being: data mining from the Italian Culture and Well-Being Project
in Journal of Happiness studies, 2011
Abstract
F. Licastro, M. Chiappelli, E. Porcellini, G. Campo, P.M. Buscema, E. Grossi, F. Garoia, R. Ferrari
Gene-Gene and Gene-Clinical factors interaction in acute myocardial infarction: a new detailed risk chart
in Current Pharmaceutical Design, 2010, 16, 000-000 1
Abstract
T. Gomiero, L. Croce, E. Grossi, L. De Vreese, P.M. Buscema, U.Mantesso, E. De Bastiani
A Short Version of SIS (Support Intensity Scale): The Utility of the Application of Artificial Adaptive Systems
in US-China Education Review, ISSN 1548-6613
Abstract
G. Rotondano, L. Cipolletta, E. Grossi, M. Koch, M. Intraligi, P.M. Buscema, R. Marmo
For the Italian Registry on Upper Gastrointestinal Bleeding (Progetto Nazionale Emorragie Digestive) Artificial neural networks accurately predict mortality in patients with Nonvariceal upper GI bleeding
in Gastrointestinal Endoscopy 2010
Abstract
L.Buria, G.Bersanib, C.Hassan, M.Anti, M.A.Bianco, L.Cipolletta, E.DiGiulio, G.DiMatteo, L. Familiari, L.Ficano, P.Loriga, S.Morini, V.Pietropaolo, Zambelli, E.Grossi, M. Intraligi, F.Tessario, P.M.Buscema, SIED Appropriateness Working Group
How to predicta high rate of inappropriateness for upper endoscopy in an endoscopic centre?
in Digestive and LiverDisease 42, 2010, 624–628
Abstract
P.M. Buscema, G. Massini, F. Newman. E. Grossi, W.Tastle
Application of adaptive systems methodology to radiotherapy
in Proceedings of the North American Fuzzy information Society Conference (NAFIPS 2010), July 2010 ,Toronto, Canada
Abstract
F. Licastro, E.Porcellini, P. Forti. R. Borghi, P.M. Buscema, I. Carbone, P. Bossu, G. Ravaglia, E. Grossi
Multifactorial interactions in the pathogenesis pathway of Alzheimer’s disease: a new risk charts for prevention of dementia
in Immunity & Ageing, 2010, 7(Suppl1): S4
Abstract
M. Tabaton, P.Odetti, S. Cammarata. R. Borghi, F. Monacelli, C. Caltagirone, P. Bossu, P.M. Buscema, E. Grossi
Artificial Neural Network identify the predictive values of risk fact of the amnestic mild cognitive impairment
in Journal of Alzheimer Disease, 19-2010, 1035-1040
Abstract
P.M. Buscema, E. Grossi, M. Capriotti, C. Babiloni, 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
P.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, P.M. Buscema
J-Net System: a new paradigm for Artificial Neural Networks applied to diagnostic imaging
in Proceedings NAFIPS 2008
Abstract
P.M. Buscema
The General Philosophy of Artificial Adaptive Systems
in Proceedings NAFIPS 2008
Abstract
P.M. Rossini, P.M. Buscema, E. Grossi
The Transferal of Evidences Derived from Clinical Research to Single Patient Level: Automatic Distinction of Normal Elderly vs Mild CognitiveImpairment Subjects by Resting EEG Data Processed by IFAST, a Novel Intelligent System
in Proceedings NAFIPS 2008
Abstract
C. Helgason, P.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, P.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
P.M. Buscema
Four New Adaptive Systems for Four Medical Applications – Part 2
in Proceedings NAFIPS 2008
Abstract
P.M. Buscema
Four New Adaptive Systems for Four Medical Applications – Part 1
in Proceedings NAFIPS 2008
Abstract
P.M. Buscema, E. Grossi
The Semantic Connectivity Map: an adapting self-organizing knowledge discovery method in data bases. Experience in Gastro-esophageal reflux disease
in International Journal of Data Mining and Bioinformatics (IJDMB), Vol 2. Issue4 2008, pp. 362-404
Abstract
P.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, P.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, P.M. Buscema, M.C. 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, P.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, P.M. Buscema, M. Capriotti, E. Grossi, G. Rodriguez, C. Del Percio, C. 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
P.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
P.M Buscema, M. Capriotti, F. Bergami, C. Babiloni, P. Rossini, E.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
P.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, P.M.Buscema
International experience on the use of artificial neural networks in gastroenterology
in Digestive and liver disease 39, 2007,278-285
Abstract
P.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, P.M. Buscema
GenD: an evolutionary system for resampling in survey research
in Quality and Quantity, (2006) 40: 825-859, Springer
Abstract
P.M. Buscema, E. Grossi
Artificial Intelligence and outcome research
in Drug Development Research, 67: 227-2, 2006
Abstract
P.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
P.M. Buscema, S. Terzi, M. Breda
Using sinusoidal modulatedweights 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
P.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, P.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, P.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 P.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 P.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, P.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, P.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
P.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
P.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, P.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
P.M. Buscema
Genetic Doping Algorithm (GenD): theory and applications
in Expert Systems, Vol. 2 no. 2, May 2004, pp. 63-79, Blackwell Publishing
Abstract
P.M. Buscema, M. Intraligi
Filosofia dei Sistemi Artificiali Adattivi
in Dedalo, 2-2003, Roma, pp. 27-40
Abstract
T. W. Vomweg, P.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 September 2003, pp. 2350-2359
Abstract
A. Andriulli, E. Grossi, P.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, April 2003
Abstract
P. Mecocci, E. Grossi, P.M. Buscema, M. Intraligi, V. Serafini, R. Savarè, P. Rinaldi, A. Cherubini, 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, November 2002, pp. 1857-1860
Abstract
P.M. Buscema
Arti e scienze dell’artificiale
in DNArt – I Biennale Merano arte, June – September 2002, De Agostini Rizzoli Arte&Cultura, pp. 32-37
P.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), June – August 2002, Marcel Dekker Inc., New York, 2002, pp. 1093-1148.
S. Larsson, J. Lilja, S. Borg, P.M. Buscema, D. Hamilton
Toward an integrative approach in the analysis of dependency problems
in Substance Use & Misuse, Vol. 36 (9&10), July- August 2001, Marcel Dekker, Inc., New York, 2001, pp. 1323-1356.
P. Mecocci, E. Grossi, P.M. Buscema, M. Intraligi, V. Serafini, R. Savarè, P. Rinaldi, A. Cherubini, 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, P.M. Buscema, 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.
P.M. Buscema, P.L. Sacco
Ecologie della socialità edell’identità: la complessità comportamentale in un’economia post–industriale
in Kéiron, Vol. 7, June 2001, Edizione Farmindustria, Roma, pp. 116–127.
P.M. Buscema
Reti neurali artificiali nelle tossicodipendenze
in Personalità/Dipendenze, Vol. 7(1), April 2001, Erit–Italia e SDP, Mucchi Editore, Modena, pp. 17–22.
P.M. Buscema, P.L. Sacco
Feedforward networks in financial predictions: the future that modifies the present
in Expert Systems, Vol.17(3), August 2000, Blackwell, Oxford UK. pp.149-170.
Abstract
P.M. Buscema
Redes neuronales y problemas sociales
in Addiciones, Vol. 12(1), 2000, Socidrogalcohol, Palma de Mallorca, Spain, pp. 99-126.
P.M. Buscema
Redes neuronales artificiales y toxicodependencias
in Addiciones, Vol. 11(4), 1999, Socidrogalcohol, Palma de Mallorca, Spain, pp. 295–297.
P.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
P.M. Buscema
La costruzione adattiva dell’obiettività nelle Scienze Sociali: le Reti Neurali come strumento di inferenze diagnostica
in Keiron, Edizione Farmindustria, n 3 April 2000, Roma, pp. 122-139
L. Diappi, P. Bolchi, L. Franzini, P.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 August -01 September, 1998
P.M. Buscema, L. Diappi , 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.
P.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
P.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
P.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
P.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
The Boltzmann Machine
in Special Issue of Substance Use & Misuse, The International Journal of the Addictions,
Vol.33, n.2 , 1998, Marcel Dekker, New York, pp.489-493.
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
P.M. Buscema
MetaNet: the theory of 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
P.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
P.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
P.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
P.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
P.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
P.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.
P.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, P.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.
P.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.
P.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, September 1995.
Abstract
P.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.
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.
P.M. Buscema
Una teoriá del procedimento de prevención
in “Tratado Sobre Prevención de las Drogodependencias”, FAD, Gobierno Vasco,
EDEX Kolektiboa, España, 1993.
P.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 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.