cvprlab

 
Home Publications
Print

Conference Papers:

2018

A. Lanzoni, F. Camastra, A. Ciaramella, A. Staiano, G. Burgio, Modeling Green Peach Aphid populations exposed to elicitors inducing plant resistance on peach, ICEI 2018, September 24-28, Jena, Germany, 2018

A. Ciaramella, D. Nardone, A. Staiano, Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values, CIBB 2018, September 6-8, Costa De Caparica, Lisbon, Portugal, 2018

F. Camastra, A. Ciaramella, A. Riccio, S. Le Hoang, A. Staiano, Fuzzy Similarity-based Hierarchical Clustering for Atmospheric Pollutants Prediction, WILF 2018, September 6-7, Genova, Italy, 2018

A. Ciaramella, D. Nardone, A. Staiano, Blind source separation using dictionary learning in wireless sensor network scenario, WIRN 2018, June 13-15, Vietri sul Mare (Sa), Italy, 2018

F. Camastra, F. Esposito, A. Staiano, Correlation Dimension-Based Recognition of Simple Juggling Movements, Multidisciplinary Approaches to Neural Computing. WIRN 2018. Smart Innovation, Systems and Technologies, vol 69, pp. 77-84, Springer, 2018

2017

Francesco Camastra, Angelo Ciaramella, Antonino Staiano: An the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions. ICANN 2017(1) 2017: 407-414

D. De Felice, F. Camastra: Kendon Model-based Gesture Recognition using Hidden Markov Model and Learning Vector Quantization. WIRN 2017. Smart Innovation, Systems and Technologies, vol 103, 163-171, Springer  

Giuseppe Vettigli, Angelo Ciaramella: Fuzzy clustering of structured data: Some preliminary results. FUZZ-IEEE 2017: 1-6

Antonino Staiano, Fabio Inneguale: An RBF neural network-based system for home smart metering. FUZZ-IEEE 2017: 1-6

Alessio Ferone, Antonio Maratea: Decoy clustering through graded possibilistic c-medoids. FUZZ-IEEE 2017: 1-6

Alessio Ferone, Ardelio Galletti, Antonio Maratea: Variable Width Rough-Fuzzy c-Means. SITIS 2017: 458-464

Antonio Maratea, Alfredo Petrosino, Mario Manzo: Extended Graph Backbone for Motif Analysis. CompSysTech 2017: 36-43

Antonio Maratea, Livia Marcellino, Vincenzo Duraccio: A GPU-Parallel Algorithm for Fast Hybrid BFS-DFS Graph Traversal. SITIS 2017: 450-457

Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio: MOHAB: Mobile Hand-Based Biometric Recognition. GPC 2017: 105-115

Giuseppe Cattaneo, Umberto Ferraro Petrillo, Michele Nappi, Fabio Narducci, Gianluca Roscigno: An Efficient Implementation of the Algorithm by Lukáš et al. on Hadoop. GPC 2017: 475-489

Andrea Francesco Abate, Silvio Barra, Gianni Fenu, Michele Nappi, Fabio Narducci: A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images. ICIAP 2017: 93-103

Andrea Bruno, Giuseppe Cattaneo, Umberto Ferraro Petrillo, Fabio Narducci, Gianluca Roscigno: Distributed Anti-Plagiarism Checker for Biomedical Images Based on Sensor Noise. ICIAP Workshops 2017: 343-352

2016

Nadia Brancati, Francesco Camastra: Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images. IIMSS 2016: 1-10

Alessio Ferone, Alfredo Petrosino: Feature Selection Through Composition of Rough-Fuzzy Sets. WILF 2016: 116-125

Antonio Maratea, Alfredo Petrosino, Mario Manzo: Triadic Motifs in the Partitioned World Trade Web. EUSPN/ICTH 2016: 479-484

Ardelio Galletti, Antonio Maratea: A Bound for the Accuracy of Sensors Acquiring Compositional Data. EUSPN/ICTH 2016: 485-490

Ardelio Galletti, Antonio Maratea: Numerical Stability Analysis of the Centered Log-Ratio Transformation. SITIS 2016: 713-716

Modesto Castrillón Santana, Maria De Marsico, Michele Nappi, Fabio Narducci, Hugo Proença: Mobile Iris CHallenge Evaluation II: Results from the ICPR competition. ICPR 2016: 149-154

Andrea F. Abate, Silvio Barra, Luigi Gallo, Fabio Narducci: KIPSOM: Skewness & kurtosis of iris pixels in Self Organizing Maps for iris recognition on mobile devices. ICPR 2016: 155-159

Andrea F. Abate, Silvio Barra, Francesco D'Aniello, Fabio Narducci: Two-Tier Image Features Clustering for Iris Recognition on Mobile. WILF 2016: 260-269

2015
Carmen Díaz-Marín, Eduardo Vendrell Vidal, Elvira Aura-Castro, Andrea F. Abate, Carlos Sanchez Belenguer, Fabio Narducci: Virtual reconstruction and representation of an archaeological terracotta statue. Digital Heritage 2015: 699-702
João C. Neves, Gil Melfe Mateus Santos, Silvio Filipe, Emanuel Grancho, Silvio Barra, Fabio Narducci, Hugo Proença: Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments. ICIAP Workshops 2015: 59-68
Andrea F. Abate, Virginio Cantoni, Michele Nappi, Fabio Narducci, Stefano Ricciardi: Hybrid multi-sensor tracking system for field-deployable mixed reality environment. INDIN 2015: 1450-1455
2014

Alessio Ferone, Maria Frucci, Alfredo Petrosino, Gabriella Sanniti di Baja: Iris Detection through Watershed Segmentation. BIOMET 2014: 57-65

Andrea F. Abate, Michele Nappi, Fabio Narducci, Stefano Ricciardi: ast Iris Recognition on Smartphone by means of Spatial Histograms. BIOMET 2014: 66-74

Andrea F. Abate, Fabio Narducci, Stefano Ricciardi: An Image Based Approach to Hand Occlusions in Mixed Reality Environments. Human Computer Interacion (HCI 2014) (16) 2014: 319-328

2013

Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace: Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. ICIAP Workshops 2013: 428-435

Virginio Cantoni, Alessio Ferone, Alfredo Petrosino, Gabriella Sanniti di Baja: Supervised Approach to 3D Structural Classification of Proteins. ICIAP Workshops 2013: 326-335

Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Salvatore Sposato, Antonino Staiano, Giovanni Staiano, Alfredo Starace: ule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. WILF 2013: 226-233

Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace: Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. WIRN 2013: 241-249

Andrea F. Abate, Fabio Narducci, Stefano Ricciardi: Mixed Reality Environment for Mission Critical Systems Servicing and Repair. Human Computer Interaction (HCI) (19) 2013: 201-210

Andrea F. Abate, Fabio Narducci, Stefano Ricciardi: An augmented interface to audio-video components. AVI 2012: 254-257

A. Ferone, L. Maddalena, A. Petrosino, Neural Background Subtraction for PTZ Cameras, WIRN 2012, pp. 129-138, (2013) - PDF - BibTeX

2012
V. Cantoni, A. Ferone, O. Ozbudak, A. Petrosino: Protein structural motifs search in protein data base. CompSysTech 2012: 275-281 - PDF - BibTeX
A. Maratea, A. Petrosino, M. Manzo, Automatic generation of SCORM compliant metadata for portable document format files, CompSysTech 2012: 360-367 - PDF - BibTeX
L. Maddalena, A. Petrosino, The SOBS algorithm: What are the limits? CVPR Workshops 2012: 21-26 - PDF - BibTeX
A. Maratea, A. Petrosino, M. Manzo, Integrating Navigational and Structural Information in SCORM Content Aggregation Modeling, ICALT 2012: 379-380 - PDF - BibTeX
V. Cantoni, A. Ferone, O. Ozbudak, A. Petrosino, Protein Structural Blocks Representation and Search through Unsupervised NN, ICANN (2) 2012: 515-522 - PDF - BibTeX
V. Cantoni, O. Ozbudak, A. Ferone, A. Petrosino, Structural analysis of protein Secondary Structure by GHT, ICPR 2012: 1767-1770 - PDF - BibTeX
S. Kondra, A. Petrosino, Self-similarity and Points of Interest in Textured Images, PerMIn 2012: 306-313 - PDF - BibTeX
2011
A. Ferone, S. K. Pal, A. Petrosino, A Rough-Fuzzy HSV Color Histogram for Image Segmentation, ICIAP (1) 2011: 29-37 - PDF - BibTeX
A. Albanese, S. K. Pal, A. Petrosino, A Rough Set Approach to Spatio-temporal Outlier Detection, WILF 2011: 67-74 - PDF - BibTeX
A. Maratea, A. Petrosino, Asymmetric Kernel Scaling for Imbalanced Data Classification, WILF 2011: 196-203 - PDF - BibTeX
A. Ciaramella, A. Riccio, S. Galmarini, G. Giunta, Slawomir Potempski: Comparison of Dispersion Models by Using Fuzzy Similarity Relations. AI*IA 2011: 57-67
L. Lamberti, F. Camastra: Real-Time Hand Gesture Recognition Using a Color Glove. ICIAP (1) 2011: 365-373
Fabio Narducci, Stefano Ricciardi: Augmented Reality Aided Maintenance for Industrial Applications. Eurographics Italian Chapter Conference 2011: 67-72
2010
G. Gemignani, L. Maddalena, A. Petrosino, Real-Time Stopped Object Detection by Neural Dual Background Modeling, Euro-Par Workshops 2010: 357-364 - PDF - BibTeX
A. Petrosino, G. Salvi, A Rough Fuzzy Neural Based Approach to Face Detection, IPCV 2010: 317-323 - PDF - BibTeX
2009
L. Maddalena, A. Petrosino, Self Organizing and Fuzzy Modelling for Parked Vehicles Detection, ACIVS 2009, pp. 422-433 - PDF - BibTeX
L. Maddalena, A. Petrosino, 3D Neural Model-Based Stopped Object Detection, ICIAP 2009, pp. 585-593 - PDF - BibTeX
A. Maratea, A. Petrosino, An Heuristic Approach to Page Recommendation in Web Usage Mining, ISDA 2009, pp. 1043-1048 - PDF - BibTeX
L. Maddalena, A. Petrosino, Multivalued Background/Foreground Separation for Moving Object Detection, WILF 2009, pp. 263-270 - PDF - BibTeX
L. Maddalena, A. Petrosino, A 3D Neural Model for Video Analysis, WIRN 2009.
A. Ciaramella, W. Pedrycz, A. Petrosino, Uninorm Based Fuzzy Network for Tree Data Structures, WILF 2009, pp. 77-84 - PDF - BibTeX
A. Ciaramella, A. Riccio, F. Angelini, G. P. Gobbi, T. C. Landi: Statistical and Fuzzy Approaches for Atmospheric Boundary Layer Classification. AI*IA 2009: 375-384
2008
L. Maddalena, A. Petrosino, A Self-organizing Neural System for Background and Foreground Modeling, ICANN 2008, pp. 652-661 - PDF - BibTeX
L. Maddalena, A. Petrosino, Neural Model-Based Segmentation of Image Motion, KES 2008, pp. 57-64 - PDF - BibTeX
F. Camastra, A. Petrosino, Kernel Methods for Graphs: A Comprehensive Approach, KES 2008, pp. 662-669 - PDF - BibTeX
A. Ferone, A. Petrosino, A Neuro Fuzzy Approach for Handling Structured Data, SUM 2008, pp. 189-200 - PDF - BibTeX
A. Petrosino, A. Staiano, A Neural Based WSN Mote Trajectory Reconstruction for Mining Periodic Patterns, WIRN 2008, pp. 3-11.
A. Ciaramella: Single Channel Polyphonic Music Transcription. WIRN 2008: 99-108
2007
L. Maddalena, A. Petrosino, A Self-organizing Approach to Detection of Moving Patterns for Real-Time Applications, in Advances in Brain, Vision, and Artificial Intelligence, pp. 181-190 - PDF - BibTeX
F. Di Donna, L. Maddalena, A. Petrosino, About the embedding of color uncertainty in CBIR systems, Lecture Notes in Computer Science, Vol. 4578, pp. 394-403 - PDF - BibTeX
L. Maddalena, A. Petrosino, Moving Object Detection for Real-Time Applications, in Proceedings of 14th International Conference on Image Analysis and Processing (ICIAP’07), IEEE Computer Society, pp. 542-547 - PDF - BibTeX
A. Petrosino, A. Staiano, A Neuro-fuzzy Approach for Sensor Network Data Cleaning, Lecture Notes in Computer Science, Vol. 4694, vol. 3, pp. 140-147 - PDF - BibTeX
F. Camastra: Handwritten Greek Character Recognition with Larning Vector Quantization. KES (3) 2007: 267-274
F. Camastra, M. Filippone: SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. KES (3) 2007: 300-307
A. Ciaramella, S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri: Clustering, Assessment and Validation: an application to gene expression data. IJCNN 2007: 1613-1618
A. Ciaramella, W. Pedrycz, R. Tagliaferri: The Genetic Development of Uninorm-Based Neurons. WILF 2007: 69-76
2006
I. Bloch, G. Martino, A. Petrosino, A Fuzzy Mathematical Morphology Approach to Multiseeded Image Segmentation, in Proceedings of the 6th international conference on Fuzzy Logic and Applications , pp.362-368 - PDF - BibTeX
F. Camastra, M. Spinetti, A. Vinciarelli: Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.. ICPR (2) 2006: 913-916
2005
G. Antoniol, M. Ceccarelli, A. Petrosino, Microarray image addressing based on the Radon transform, Proceedings ICIP, Vol. 1, pp.13-16 PDF - BibTeX
2004
M. Ceccarelli, A. Petrosino, Blotch removal in degraded digital video using independent component analysis, IEEE International Joint Conference on Neural Networks, Vol. 1, pp. 272 - PDF - BibTeX

 

 

Events & Announcements


 

Main events

VISMAC2018
IAPR Summer School on Machine and Vision Intelligence

CVPL2018
1° Convegno dell'Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning 

WILF2016
The Eleventh International Workshop on Fuzzy Logic and Applications
FLA2016
Workshop on Formal Language and Automata
 ICIAP 2013 
17th International Conference on Image Analysis and Processing September 11-13, 2013 Naples, Italy
PhD Studentship 2017 
in Machine Learning for Computer Vision