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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