Stefano Rovetta


Ontology type: schema:Person     


Person Info

NAME

Stefano

SURNAME

Rovetta

Publications in SciGraph latest 50 shown

  • 2022-01-04 End-to-end quantum-inspired method for vehicle classification based on video stream in NEURAL COMPUTING AND APPLICATIONS
  • 2021-12-27 Anomalous sound event detection: A survey of machine learning based methods and applications in MULTIMEDIA TOOLS AND APPLICATIONS
  • 2021-11-18 Dealing with Uncertainty in Anomalous Audio Event Detection Using Fuzzy Modeling in ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS
  • 2020-07-10 Emotional Content Comparison in Speech Signal Using Feature Embedding in PROGRESSES IN ARTIFICIAL INTELLIGENCE AND NEURAL SYSTEMS
  • 2020-06-21 Glioma Classification Using Deep Radiomics in SN COMPUTER SCIENCE
  • 2020 Emotion Recognition from Speech: An Unsupervised Learning Approach in INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
  • 2019-09-19 The “Probabilistic Rand Index”: A Look from Some Different Perspectives in NEURAL APPROACHES TO DYNAMICS OF SIGNAL EXCHANGES
  • 2019-08-30 Feature Analysis for Emotional Content Comparison in Speech in ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS
  • 2019-08-06 Detection, localisation and tracking of pallets using machine learning techniques and 2D range data in NEURAL COMPUTING AND APPLICATIONS
  • 2019-02-23 Soft Clustering: Why and How-To in FUZZY LOGIC AND APPLICATIONS
  • 2019-02-23 The Challenges of Big Data and the Contribution of Fuzzy Logic in FUZZY LOGIC AND APPLICATIONS
  • 2019-01-26 Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets in BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES
  • 2018-08-18 Bot or Not? A Case Study on Bot Recognition from Web Session Logs in QUANTIFYING AND PROCESSING BIOMEDICAL AND BEHAVIORAL SIGNALS
  • 2017-10-25 Measuring Clustering Model Complexity in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2017
  • 2017-10-17 Semantic Clustering for Identifying Overlapping Biological Communities in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2017-09 Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting in DATA SCIENCE AND ENGINEERING
  • 2017-02-07 Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task in FUZZY LOGIC AND SOFT COMPUTING APPLICATIONS
  • 2017-02-07 Graded Possibilistic Clustering of Non-stationary Data Streams in FUZZY LOGIC AND SOFT COMPUTING APPLICATIONS
  • 2016-08-13 Comparison of Methods for Community Detection in Networks in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2016
  • 2016-06-19 Model Complexity Control in Clustering in ADVANCES IN NEURAL NETWORKS
  • 2015-11-25 Clustering High-Dimensional Data in CLUSTERING HIGH--DIMENSIONAL DATA
  • 2015-11-25 Comparing Fuzzy Clusterings in High Dimensionality in CLUSTERING HIGH--DIMENSIONAL DATA
  • 2015-11-18 Detecting Overlapping Protein Communities in Disease Networks in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2015 Hubs and Communities Identification in Dynamical Financial Networks in ADVANCES IN NEURAL NETWORKS: COMPUTATIONAL AND THEORETICAL ISSUES
  • 2015 Online Spectral Clustering and the Neural Mechanisms of Concept Formation in ADVANCES IN NEURAL NETWORKS: COMPUTATIONAL AND THEORETICAL ISSUES
  • 2014-07-16 Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2014 A Quality-Driven Ensemble Approach to Automatic Model Selection in Clustering in RECENT ADVANCES OF NEURAL NETWORK MODELS AND APPLICATIONS
  • 2013 Neighbor-Based Similarities in FUZZY LOGIC AND APPLICATIONS
  • 2013 Feature-Based Medical Image Registration Using a Fuzzy Clustering Segmentation Approach in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2013 Fall Detection Using an Ensemble of Learning Machines in NEURAL NETS AND SURROUNDINGS
  • 2011 Biclustering by Resampling in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2011 Tuning Graded Possibilistic Clustering by Visual Stability Analysis in FUZZY LOGIC AND APPLICATIONS
  • 2010-03-31 Simulated annealing for supervised gene selection in SOFT COMPUTING
  • 2010 A Novel Approach for Biclustering Gene Expression Data Using Modular Singular Value Decomposition in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2009 Stability and Performances in Biclustering Algorithms in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2009 An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity in FUZZY LOGIC AND APPLICATIONS
  • 2007-01-01 Possibilistic Clustering in Feature Space in APPLICATIONS OF FUZZY SETS THEORY
  • 2007-01-01 Membership Embedding Space Approach and Spectral Clustering in KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS
  • 2006 Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering in ROUGH SETS AND CURRENT TRENDS IN COMPUTING
  • 2006 Fuzzy Concepts in Vector Quantization Training in FUZZY LOGIC AND APPLICATIONS
  • 2006 Soft Rank Clustering in NEURAL NETS
  • 2006 Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis in COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY
  • 2006 Unsupervised Gene Selection and Clustering Using Simulated Annealing in FUZZY LOGIC AND APPLICATIONS
  • 2005-01-01 Analysis of Oligonucleotide Microarray Images Using a Fuzzy Sets Approach in HLA Typing in BIOLOGICAL AND ARTIFICIAL INTELLIGENCE ENVIRONMENTS
  • 2005 Random Voronoi Ensembles for Gene Selection in DNA Microarray Data in BIOINFORMATICS USING COMPUTATIONAL INTELLIGENCE PARADIGMS
  • 2005-01-01 ERAF: A R Package for Regression and Forecasting in BIOLOGICAL AND ARTIFICIAL INTELLIGENCE ENVIRONMENTS
  • 2003 Gene Selection Using Random Voronoi Ensembles in NEURAL NETS
  • 2003 An Algorithm to Model Paradigm Shifting in Fuzzy Clustering in NEURAL NETS
  • 1998-03 Plastic algorithm for adaptive vector quantisation in NEURAL COMPUTING AND APPLICATIONS
  • 1997-09 Implementing probabilistic Neural Networks in NEURAL COMPUTING AND APPLICATIONS
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