Stefano Rovetta

Orcid: 0000-0003-3865-2613

According to our database1, Stefano Rovetta authored at least 125 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Anomalous Sound Event Detection Based on One-Class Classification Using Variational Autoencoders and Interval Type-2 Fuzzy Sets.
Proceedings of the 31st European Signal Processing Conference, 2023

Remote Healthcare System Based on AIoT.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
A Quantum-Inspired Classifier for Early Web Bot Detection.
IEEE Trans. Inf. Forensics Secur., 2022

End-to-end quantum-inspired method for vehicle classification based on video stream.
Neural Comput. Appl., 2022

Anomalous sound event detection: A survey of machine learning based methods and applications.
Multim. Tools Appl., 2022

A Novel Pitch Detection Algorithm Based on Instantaneous Frequency for Clean and Noisy Speech.
Circuits Syst. Signal Process., 2022

2021
Efficient on-the-fly Web bot detection.
Knowl. Based Syst., 2021

Emotion Recognition from Speech: An Unsupervised Learning Approach.
Int. J. Comput. Intell. Syst., 2021

Anomaly detection based on interval-valued fuzzy sets: Application to rare sound event detection.
Proceedings of WILF 2021, 2021

Dealing with Uncertainty in Anomalous Audio Event Detection Using Fuzzy Modeling.
Proceedings of the Advances in Computational Intelligence Systems, 2021

A Novel Pitch Detection Algorithm Based On Instantaneous Frequency.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
The "Probabilistic Rand Index": A Look from Some Different Perspectives.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials.
IEEE Trans. Fuzzy Syst., 2020

Glioma Classification Using Deep Radiomics.
SN Comput. Sci., 2020

Detection, localisation and tracking of pallets using machine learning techniques and 2D range data.
Neural Comput. Appl., 2020

Bot recognition in a Web store: An approach based on unsupervised learning.
J. Netw. Comput. Appl., 2020

Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder.
Artif. Intell. Medicine, 2020

Detection of Hazardous Road Events From Audio Streams: An Ensemble Outlier Detection Approach.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Bot or Not? A Case Study on Bot Recognition from Web Session Logs.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI.
CoRR, 2019

A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter.
CoRR, 2019

A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter.
IEEE Access, 2019

Feature Analysis for Emotional Content Comparison in Speech.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Emotion recognition from speech signal using fuzzy clustering.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

2018
Clustering of nonstationary data streams: A survey of fuzzy partitional methods.
WIREs Data Mining Knowl. Discov., 2018

A 2D laser rangefinder scans dataset of standard EUR pallets.
CoRR, 2018

Soft Clustering: Why and How-To.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

The Challenges of Big Data and the Contribution of Fuzzy Logic.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Online Web Bot Detection Using a Sequential Classification Approach.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017
Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting.
Data Sci. Eng., 2017

An assistive mobile system supporting blind and visual impaired people when are outdoor.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

Automatic Approaches for CE-MRI Examination of the Breast: A Survey.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Emotional Content Comparison in Speech Signal Using Feature Embedding.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Emotional intelligence in robots: Recognizing human emotions from daily-life gestures.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Adaptive Initialization of Cluster Centers using Ant Colony Optimization: Application to Medical Images.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Measuring Clustering Model Complexity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Model Complexity Control in Clustering.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Graded Possibilistic Clustering of Non-stationary Data Streams.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Layered ensemble model for short-term traffic flow forecasting with outlier detection.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Comparison of Methods for Community Detection in Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Semantic Clustering for Identifying Overlapping Biological Communities.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

2015
Online Spectral Clustering and the Neural Mechanisms of Concept Formation.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Hubs and Communities Identification in Dynamical Financial Networks.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

2014
Visual stability analysis for model selection in graded possibilistic clustering.
Inf. Sci., 2014

Genetic algorithm-based neural error correcting output classifier.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

Detecting Overlapping Protein Communities in Disease Networks.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013
A Quality-Driven Ensemble Approach to Automatic Model Selection in Clustering.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Neighbor-Based Similarities.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012
Fall Detection Using an Ensemble of Learning Machines.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

Feature-Based Medical Image Registration Using a Fuzzy Clustering Segmentation Approach.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2012

Comparing Fuzzy Clusterings in High Dimensionality.
Proceedings of the Clustering High-Dimensional Data - First International Workshop, 2012

Clustering High-Dimensional Data.
Proceedings of the Clustering High-Dimensional Data - First International Workshop, 2012

2011
Simulated annealing for supervised gene selection.
Soft Comput., 2011

Spectral indexes of quality, diversity and stability in fuzzy clustering.
Proceedings of the Neural Nets WIRN11, 2011

Tuning Graded Possibilistic Clustering by Visual Stability Analysis.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

2010
Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces.
IEEE Trans. Fuzzy Syst., 2010

Context analysis in microRNA data: A Rosetta Stone approach.
Proceedings of the Neural Nets WIRN10, 2010

Biclustering by Resampling.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009
Soft ranking in clustering.
Neurocomputing, 2009

Clustering in the membership embedding space.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

The discriminating power of random features.
Proceedings of the Neural Nets WIRN09, 2009

An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity.
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

Searching for microRNA prostate cancer target genes.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Novel Approach for Biclustering Gene Expression Data Using Modular Singular Value Decomposition.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008
A survey of kernel and spectral methods for clustering.
Pattern Recognit., 2008

An Experimental Comparison of Kernel Clustering Methods.
Proceedings of the New Directions in Neural Networks, 2008

Stability and Performances in Biclustering Algorithms.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

2007
Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach.
IEEE Trans. Fuzzy Syst., 2007

Vector quantization and fuzzy ranks for image reconstruction.
Image Vis. Comput., 2007

Possibilistic Clustering in Feature Space.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Membership Embedding Space Approach and Spectral Clustering.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Soft transition from probabilistic to possibilistic fuzzy clustering.
IEEE Trans. Fuzzy Syst., 2006

Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data.
Pattern Recognit., 2006

Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Supervised Classification and Gene Selection Using Simulated Annealing.
Proceedings of the International Joint Conference on Neural Networks, 2006

Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis.
Proceedings of the Computational Methods in Systems Biology, International Conference, 2006

2005
A fuzzy approach to image analysis in HLA typing using oligonucleotide microarrays.
Fuzzy Sets Syst., 2005

Soft Rank Clustering.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

Unsupervised Gene Selection and Clustering Using Simulated Annealing.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
ERAF: A R Package for Regression and Forecasting.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Analysis of Oligonucleotide Microarray Images Using a Fuzzy Sets Approach in HLA Typing.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

2003
Random Voronoi ensembles for gene selection.
Neurocomputing, 2003

Gene Selection Using Random Voronoi Ensembles.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

An Algorithm to Model Paradigm Shifting in Fuzzy Clustering.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Fuzzy Concepts in Vector Quantization Training.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

2002
Objective quality assessment of MPEG-2 video streams by using CBP neural networks.
IEEE Trans. Neural Networks, 2002

Objective assessment of MPEG-2 video quality.
J. Electronic Imaging, 2002

2001
K-winner machines for pattern classification.
IEEE Trans. Neural Networks, 2001

2000
Vector quantization for license-plate location and image coding.
IEEE Trans. Ind. Electron., 2000

Augmenting vector quantization with interval arithmetics for image-coding applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

The K-Winner Machine Model.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Circular backpropagation networks embed vector quantization.
IEEE Trans. Neural Networks, 1999

Representation and generalization properties of class-entropy networks.
IEEE Trans. Neural Networks, 1999

Worst case analysis of weight inaccuracy effects in multilayer perceptrons.
IEEE Trans. Neural Networks, 1999

A multiprocessor-oriented visual tracking system.
IEEE Trans. Ind. Electron., 1999

Visual location of license plates by vector quantization.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Analog vector quantization chip for flexible video compression systems.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

VLSI circuits with fractal layout for spatial image decorrelation.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Flexible video compression systems using an analog vector quantization chip.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

License-plate localization by using vector quantization.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Plastic Algorithm for Adaptive Vector Quantisation.
Neural Comput. Appl., 1998

An Image-Recognition System Implemented on Hierarchical Parallel Architectures.
Int. J. Pattern Recognit. Artif. Intell., 1998

Object Oriented ARM7 Coprocessor.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

1997
Circular backpropagation networks for classification.
IEEE Trans. Neural Networks, 1997

Transputer-Based Implementation of Distributed Associative Memories.
Parallel Comput., 1997

Implementing Probabilistic Neural Networks.
Neural Comput. Appl., 1997

CBP networks as a generalized neural model.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Hardware implementation of the neural gas.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Parallel architectures for vector quantization.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

On the importance of sorting in "neural gas" training of vector quantizers.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

VLSI Architectures for Programmable Sorting of Analog Quantities with Multiple-Chip Support.
Proceedings of the 7th Great Lakes Symposium on VLSI (GLS-VLSI '97), 1997

High performance in tree-based parallel architectures.
Proceedings of the 23rd EUROMICRO Conference '97, 1997

1996
Limiting the effects of weight errors in feedforward networks using interval arithmetic.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A parallel approach to plastic neural gas.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

An object oriented machine for control applications.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

A vector quantization circuit for trainable neural networks.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

1995
Adaptive Internal Representation in Circular Back-Propagation Networks.
Neural Comput. Appl., 1995

Learning the appropriate representation paradigm by circular processing units.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

Prototyping Neural Networks Learn Lyme Borreliosis.
Proceedings of the Eighth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995

Validation of a Large Medical Database.
Proceedings of the Eighth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995

1994
Neural approaches to the diagnosis and characterization of the Lyme disease.
Proceedings of the Seventh Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'94), 1994


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