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MASULLI FRANCESCO (105)
- A Fuzzy Approach to Image Analysis in HLA Typing using Oligonucleotide Microarrays G.B. Ferrara, L. Delfino, F. Masulli, S. Rovetta, R. Sensi
- A Neural Bootstrap for the Possibilistic C-Means Algorithm (invited paper) Schenone A., Masulli F.,Artuso M.
- A Simulated Annealing C-Means Clustering Algorithm Bogus P., and Massone A.M., Masulli F.
- A fuzzy clustering based segmentation system as support to diagnosis in medical imaging Masulli F. and Schenone A.
- A three-dimensional visualizzation and navigation tool fordiagnostic and surgical planning applications Beltrame F., DeLeo G., Fato, M., Masulli F., Schenone A.
- A time delay neural network for estimation of gas concentrations in a mixture Pardo M., Faglia G., Sberveglieri G., Corte M., Masulli F., Riani M.
- A very high Speed Industrial Neural Network Classification System Based on Custom VLSI Implementation Parenti, R., Penno, C., Baratta D., Masulli F., Tausel M
- Advanced Pattern Recognition for Electronic Noses M. Pardo, G. Sberveglieri, G. Valentini, F. Masulli
- Advanced Tools for Aided Surgery: the Role of Computational Intelligence Methods (Abstract) Schenone A. Massone A.M., Masulli, F.
- Advances in Fuzzy Systems and Intelligent Technologies Masulli F., Parenti R., Pasi G. (Editors)
- An Algorithm to Model Paradigm Shifting in Fuzzy Clustering- Parte di:Neural Nets Wirn Vietri-03 Masulli, F. and Rovetta, S.
- An Evolution Strategy Approach to Clustering and its Application to the Segmentation of Multimodal Medical Volumes Masulli F., Massone A.M., Schenone A.
- An ensemble approach to variable selection for classification of DNA microarray data F. Masulli, S. Rovetta
- An ensemble approach to variable selection for classification of DNA microarray data F. Masulli, S. Rovetta
- An experimental analysis of the dependence among codeword bit errors in ECOC learning machines F. Masulli and G. Valentini
- Analysis of Oligonucleotide Microarray Images using a Fuzzy Sets Approach in HLA Typing G.HB. Ferrara, L. Delfino, F. Masulli, S. Rovetta, R. Sensi.
- Application of MEP-based Fuzzy Clustering to the Segmentation of Multivariate Medical Images Masulli F., Bogus P., Schenone A., Artuso M.
- Application of Possibilistic Clustering to the Segmentation of Multivariate Medical Images Masulli F., Artuso M., Bogus P., Schenone A.
- Application of an Ensemble Technique based on Singular Spectrum Analysis to Daily Rainfall Forecasting D. Baratta, Gb. Cicioni, F. Masulli, F., L. Studer
- Application of the Possibilistic Clustering to the Segmentation of Multimodal Medical Images Masulli F., Schenone A., Massone A.M.
- Approccio alla previsione di altezze pluviometrichebasato su analisi di componenti principali e sistemi fuzzy adattivi Cicioni Gb. and Masulli F.
- Automatic Noun Disambiguation P. Rosso, F. Masulli, D. Buscaldi, F. Pla, A. Molina
- Boosting Classifiers in Electronic Noses F. Masulli, G. Valentini, M. Pardo, G. Sberveglieri
- Building a Neuro-Fuzzy System to Efficiently Forecast Chaotic Time Series Studer L. and Masulli F.
- Classification of Sensor Array Data by Output Coding Decomposition Methods Masulli F., Valentini G., Pardo M., Sberveglieri G.
- Clustering algorithms for the reconstruction of events in the GRAAl segmented BGO calorimeter Bartalini O., Capogni M., Gaulart C., Masulli F., Massone A.M., Zucchiatti, A.
- Comparing Decomposition Methods for Classification Masulli F. and Valentini G.
- Comparison of Indexing Techniques based on Stems, Synsets, Lemmas and Term Frequency Distribution L. Calcagno,D. Buscaldi, P. Rosso, J.M. Soriano Gomez,F. Masulli, S. Rovetta
- Competitive and Hybrid Neuro-Fuzzy Models for Supervised Classification Giusti N., Masulli F., Sperduti A.
- Computational Intelligence in Hydroinformatics: A Review Cicioni Gb. and Masulli F.
- Control of Non-Linear Process by Neural Networks: Benefits using the Takens-Mane Theorem Parenti R., Masulli F., Studer L.
- Daily Rainfall Forecasting using an Ensemble Technique based on Singular Spectrum Analysis Masulli F., Baratta D., Cicioni Gb., Studer L.
- Decompositive Classification Models for Electronic Noses Pardo M., Sberveglieri G., Taroni A., Masulli F., Valentini, G.
- Dependence among Codewords Bits Errors in ECOC learningMachines: An Experimental Analysis Masulli F., Valentini G.
- Discontinuous and Intermittent Signal Forecasting: A Hybrid Approach Masulli F., Cicioni, Gb., Studer L.
- ERAF: A R Package for Regression and Forecasting M. Filippone, F. Masulli, S. Rovetta
- Effectiveness of Error Correction Output coding decomposition Schemes in ensemble and monolithic learning machines Masulli, F. and Valentini, G.
- Effectiveness of error correcting output codes in multiclass learning problems Masulli F. and Valentini G
- Ensembles of Learning Machines (invited review) G. Valentini, F. Masulli
- Ensembling and Clustering Approach to Gene Selection F. Masulli and S. Rovetta
- Estimation of gas concentrations in a mixture using a neural dynamical model Corte M., Masulli F., Riani M., Pardo M., Faglia G., Sberveglieri G.
- Evaluating dependence among output errors in ECOC learning machines Masulli F., Valentin, G.
- Forecasting the Daily Rainfall in the Tiber River Basin using an Ensemble Technique based on SSA D. Baratta, F. Masulli, Gb. Cicioni, L. Studer
- Fuzzy Clustering Algorithms on LANDSAT Images for Detection of Waste Areas: A Comparison.- Parte di:Advances in Fuzzy Systems and Intelligent Technologies Massone A.M., Masulli F., Petrosino A.
- Fuzzy Clustering Methods for the Segmentation of Multivariate Images Masulli F., Bogus,P., Schenone, A.,Artuso, M.
- Fuzzy Clustering Methods for the Segmentation of Multimodal Medical Images- Parte di:Fuzzy Systems in Medicine Masulli, F., Massone A.M., Schenone A.
- Fuzzy Modeling for HLA Typing GB. Ferrara,F. Masulli, C. Pera, S.Rovetta, R. Sensi
- Fuzzy and Possibilistic Approaches to Clustering Bogus P. and Masulli F.
- Fuzzy concepts in vector quantization training F. Masulli, S. Rovetta
- Fuzzy concepts in vector quantization training S. Rovetta, F. Masulli
- Gene selection using Random Voronoi Ensembles- Parte di:Neural Nets Wirn Vietri-03 Masulli, F. and Rovetta, S.
- Guest Editorial: Advances in Handwriting and Drawing Analysis Colla A.M., Masulli F., Plamondon R. (Guest Editors)
- HLA Typing Using a Fuzzy Approach G.B. Ferrara, F. Masulli and S. Rovetta
- Hard and Fuzzy Clustering Paradigms- Parte di:Le traitement informatique du signal Masulli F.
- Implementing very high-speed hierarchical MLP-based classification systems in real-time environment Parenti R. Penno C., Baratta D., Masulli F.
- Integrating Conceptual Density with WordNet Domain and CALD Glosses for Noum Sense Disambiguation- Parte di:Advances in Natural Language Processing D. Buscaldi, P. Rosso, F. Masulli
- Interactive graphical system for the segmentation of multimodal medical volumes using fuzzy clustering Bogus P., Massone A.M., Masulli F., Schenone A.
- International Conference in Fuzzy Logic and Technology - EUSFLAT 2001 Massone A.M., Studer L., Masulli F.
- Introduction to Clustering Techniques- Parte di:International Joint Conference on Neural Networks, Book of Tutorials K. Honda, F. Masulli, S. Rovetta
- Learning Techniques for Supervised Fuzzy Classifiers- Parte di:Fuzzy Learning and Applications Masulli F. and Sperduti A.
- Learning with multiple machines: ECOC models vs Bayesian Framework, in International Joint Conference on Neural Networks, Book of Tutorials, Portland, Oregon A. Eleuteri, F. Masulli, R. Tagliaferri
- Machine Learning Methods in Bioinformatics F. Masulli, S. Rovetta, G Valentini
- Metodi Non Supervisionati nell'Analisi Esplorativa di Dati da DNA Microarray- Parte di:Metodi Computazionali per la Bioinformatica F. Masulli, S. Rovetta
- Monitoring reliability of sensors in an array by neural networks Pardo M., Faglia G., Sberveglieri G., Corte M., Masulli F., Riani M.
- Multiple classifiers for electronic nose data M. Pardo, G. Sberveglieri. D. Della Casa, F. Masulli, G. Valentini
- Mutual information methods for evaluating dependence among outputs in learning machines Masulli F., Valentini G.
- NEURObjects: A set of library classes for neural networks development Valentini G. and Masulli F.
- NEURObjects: an object-oriented library for neural network development G. Valentini, F. Masulli
- Neural Modeling of Non-Linear Processes: Relevance of the Takens-Mane Theorem Masulli F., Parenti R., Studer L.
- Neuro-Fuzzy Models for OCR Applications Masulli F. and Sperduti A.
- Neuro-Fuzzy System for Chaotic Time Series Forecasting Masulli F., Studer L.
- Neuro-Fuzzy Systems and Chaotic Time Series Forecasting Studer, L. and Masulli, F.
- Optimization of clustering algorithms for the reconstruction of events started by a 1 GeV photon beam in a segmentated BGO calorimeter Zucchiatti A., Moricciani D., Massone A.M., Masulli, F., Copogni M., Castoldi M., Girolami B., D'Angelo A., Levi Sandri, P.
- Parallel Non-Linear Dichotomizers Masulli F. and Valentini G.
- Pattern Recognition in RICH Counters Using the PossibilisticC-Spherical Shell Algorithm Massone A.M., Studer L. Masulli F.
- Possibilistic Clustering Approach to Trackless Ring Pattern Recognition in RICH counters A.M. Massone, L. Studer, F. Masulli
- Preface- Parte di:Soft Computing Applications A. Bonarini, F. Masulli,G Pasi
- Proceedings of ISICT 2003 - International Symposium on Information and Communication Technologies M. Aleksy, T. Coffey, A. Fong, R. Gitzel, D. Lewis, F. Masulli, L. Moreno, T. J. Naughton, D. O'Sullivan, C. Roda, P. Rosso, S. Rovetta, J. Thomas, and Waldron,(Editors)
- Proceedings of the 8th Biennial Conference of the International Graphonomics Society IGS'97 Colla A.M., Masulli F., Morasso P. (Editors)
- Proceedings of the third ICSC Symposia on Intelligent Industrial Automation and Soft Computing Parenti R. and Masulli F. (Editors)
- Quantitative Evaluation of Dependence among Outputs in ECOC Classifiers Using Mutual InformationBased Measures Masulli F. and Valentini G.
- Rainfall Forecasting in the Tiber Basin using a predictor based on Singular Spectrum Analysis and Neural Networks in Proceedings of Hydroinformatics 2000 Cicioni Gb. and Masulli F.
- Random Voronoi ensembles for gene selection F. Masulli, S. Rovetta
- Random Voronoi ensembles for gene selection in DNA microarray data- Parte di:Bioinformatics using Computational Intelligence Paradigms F. Masulli and S. Rovetta
- Regularization background of clustering algorithms P.Bogus,K. Lewandowska, F.Masulli
- Reliability neuro-control of an array of sensors by cross-monitoring of working-state Corte M., Masulli F., Riani M.,Pardo M., Faglia G., Sberveglieri G.
- Rough annealing by two-step clustering, with application to neuronal signals Gurzi, P. Masulli F., Spalvieri A., Sotgiu M.L., Biella G.
- Rule Specialization in Networks of Fuzzy Basis Functions F. Casalino, F. Masulli, A. Sperduti
- Segmentation of Multimodal Medical Volumes using Evolutionary Clustering- Parte di:Soft Computing, Multimedia, and Image processing Masulli F., Massone A.M., Schenone A.
- Session 6: Forecasting Chaotic Time Series- Parte di:Applications of Soft Computing - SPIE Masulli F., Studer L. (Session's Chairs)
- Shaping a Neuro-Fuzzy Systems for Chaotic Time Series Forecasting Studer, L. and Masulli, F.
- Simulated Annealing C-means Clustering Algorithm Convergence Proof P. Bogus, A.M. Massone, F. Masulli
- Soft Computing Applications A. Bonarini, F. Masulli, F. G. Pasi
- Soft Transition from Probabilistic to Possibilistic Fuzzy Clustering F. Masulli, S. Rovetta
- Special Paper Selection on Soft Computing and Industrial Applications - Guest Editorial Masulli F. and Parenti R.
- Special Session on Bioinformatics and Biostatistics- Parte di:Neural Nets Wirn Vietri-03 F. Masulli (Chair)
- Telerilevamento per il Monitoraggio Ambientale: il Progetto{TELEMA} Marinaro M., Petrosino A., Massone, A.M., Masulli F., Riani M., Minganti C., Campanelli, L.
- The Graded Possibilistic Clustering Model F. Masulli, S. Rovetta
- The maximum entropy principle and its application to the segmentation of multivariate medical images Masulli, F., Bogus, P., Artuso, M., Schenone A."
- The upv-unige-CIAOSENSO WSD system D. Buscaldi, P. Rosso, F. Masulli
- Theoretical and Experimental Analysis of a Two-Stage System for Classification Nicola Giusti, Francesco Masulli, Alessandro Sperduti
- Time Series Forecasting and Neural Networks in Tutorials of the IJCNN'99 - 1999 International Joint Conference on Neural Networks, Washington, DC, Harold Szu (Editor) Masulli F. and Studer L.
- Un Metodo Automatico para la Desambiguacion Lexica de Nombres P. Rosso,F. Masulli, D. Buscaldi
- invited contribution of 50 terms on Fuzzy Sets and Systems- Parte di:Comprehensive Dictionary of Electrical Engineering, P. Laplante (Editor) Masulli, F.
- omparison of fuzzy segmentation methods for volume definition in multimodal medical imaging Schenone A., Masulli F., Artuso M., Bogus P.
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