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Matteo Cacciola
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Journal Articles
- 2024
- [j13]Matteo Cacciola
, Antonio Frangioni
Structured pruning of neural networks for constraints learning. Oper. Res. Lett. 57: 107194 (2024) - 2023
- [j12]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi
Deep Neural Networks Pruning via the Structured Perspective Regularization. SIAM J. Math. Data Sci. 5(4): 1051-1077 (2023) - 2013
- [j11]Matteo Cacciola, Gianluigi Occhiuto, Francesco Carlo Morabito:
Artistic Complexity and Saliency: Two Faces of the same Coin? Int. J. Inf. Acquis. 9(2) (2013) - [j10]Aimé Lay-Ekuakille, Giuseppe Griffo, Diego Pellicanò, Pasquale Maris, Matteo Cacciola:
A Hardware for Processing Magnetic Pressure Sensor Signals from Leak Detection in Waterworks. Int. J. Meas. Technol. Instrum. Eng. 3(3): 35-45 (2013) - [j9]Biagio Cammaroto, Matteo Cacciola, Mario Versaci:
A Fuzzy Approach Using Euclidean Geometrical Formulation for Classifying SAR Images. Int. J. Meas. Technol. Instrum. Eng. 3(4): 27-35 (2013) - 2012
- [j8]Matteo Cacciola, Salvatore Calcagno, Filippo Laganà, Francesco Carlo Morabito, Diego Pellicanò, Isabella Palamara, Mario Versaci:
A New Approach to Evaluate Defects in Metallic Plates Based on Computing with Words and Fuzzy Entropy. Int. J. Meas. Technol. Instrum. Eng. 2(2): 20-28 (2012) - [j7]Pasquale Maris, Matteo Cacciola, Filippo Laganá, Diego Pellicanò:
About Processing of Exponentially Damped Signals: A Hardware for Biomedical Applications. Int. J. Meas. Technol. Instrum. Eng. 2(2): 29-40 (2012) - [j6]Matteo Cacciola, Salvatore Calcagno, Filippo Laganá, Francesco Carlo Morabito, Diego Pellicanò, Isabella Palamara, Mario Versaci, Biagio Cammaroto:
Wavelet and Unsupervised Learning Techniques for Experimental Biomedical Data Processing. Int. J. Meas. Technol. Instrum. Eng. 2(3): 45-59 (2012) - [j5]Matteo Cacciola, Salvatore Calcagno, Fabio La Foresta, Mario Versaci:
A New Fuzzy Geometrical Approach to Classify Defects in Composite Materials. Int. J. Meas. Technol. Instrum. Eng. 2(4): 12-20 (2012) - [j4]Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Francesco Carlo Morabito
Elman neural networks for characterizing voids in welded strips: a study. Neural Comput. Appl. 21(5): 869-875 (2012) - 2010
- [j3]Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Salvatore Calcagno
Heuristic Enhancement of Magneto-Optical Images for NDE. EURASIP J. Adv. Signal Process. 2010 (2010) - [j2]Matteo Cacciola, Giuseppe Megali, Maurizio Fiasché
A comparison between neural networks and k-nearest neighbours for blood cells taxonomy. Memetic Comput. 2(3): 237-246 (2010) - 2009
- [j1]Sebastiano D'Amico
Heuristic advances in identifying aftershocks in seismic sequences. Comput. Geosci. 35(2): 245-254 (2009)
Conference and Workshop Papers
- 2023
- [c19]Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia:
On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats. ICPRAM 2023: 542-549 - 2013
- [c18]Matteo Cacciola, Salvatore Calcagno
Fuzzy similarities for the optimization of the operational parameters related to ultrasonic phased array probes for industrial application. DSP 2013: 1-6 - 2012
- [c17]Aimé Lay-Ekuakille, Patrizia Vergallo, D. Stefano, Alessandro Massaro, Antonio Trabacca
Diffusion Tensor Imaging measurements for neuro-detection. MeMeA 2012: 1-4 - 2011
- [c16]Francesco Carlo Morabito
Creative brain and abstract art: A quantitative study on Kandinskij paintings. IJCNN 2011: 2387-2394 - 2010
- [c15]Matteo Cacciola, Salvatore Calcagno
Wavelet Coherence and Fuzzy Subtractive Clustering for Defect Classification in Aeronautic CFRP. CISIS 2010: 101-107 - [c14]Pietro Burrascano
Higher order based image deconvolution in electromagnetic non destructive evaluation of metallic materials. WIRN 2010: 125-132 - [c13]Matteo Cacciola, Giuseppe Ripepi, Guang Yang, Gui Yun Tian, Francesco Carlo Morabito
ICA based Algorithms for Flaw Classification in Pulsed Eddy Current Data: A Study. WIRN 2010: 162-171 - 2009
- [c12]Maurizio Fiasché
A neural network model for early diagnosis of acute GVHD based on gene expression data. GENSiPS 2009: 1-4 - [c11]Matteo Cacciola, Salvatore Calcagno
Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips. ICANN (2) 2009: 455-464 - [c10]Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Michele Buonsanti, Salvatore Calcagno
Neuro-Fuzzy Approach for Reconstructing Fissures in Concrete's Reinforcing Bars. WILF 2009: 171-178 - [c9]Maurizio Fiasché
Computational Intelligence Methods for Discovering Diagnostic Gene Targets about aGVHD. WIRN 2009: 271-280 - [c8]Filippo Laganá
Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments. WIRN 2009: 323-331 - 2008
- [c7]Matteo Cacciola, Maurizio Fiasché
A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework. ICONIP (2) 2008: 720-727 - [c6]Matteo Cacciola, Fabio La Foresta, Francesco Carlo Morabito
Neural Networks for the Parameters Characterization of ECG Dynamical Model. WIRN 2008: 40-49 - [c5]Matteo Cacciola, Francesco Carlo Morabito
Remote Sensing Imagery for Soil Characterization: a Wavelet Neural Data Fusion Approach. WIRN 2008: 235-244 - 2007
- [c4]Matteo Cacciola, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci:
A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem. KES (3) 2007: 243-250 - 2006
- [c3]Matteo Cacciola, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine. ICONIP (2) 2006: 353-360 - [c2]Vincenzo Barrile, Matteo Cacciola, Sebastiano D'Amico, Antonino Greco, Francesco Carlo Morabito, Francesco Parrillo:
Radial Basis Function Neural Networks to Foresee Aftershocks in Seismic Sequences Related to Large Earthquakes. ICONIP (2) 2006: 909-916 - 2004
- [c1]Matteo Cacciola, Domenico Costantino, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors. WIRN 2004: 383-389
Informal and Other Publications
- 2023
- [i3]Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia:
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. CoRR abs/2301.01651 (2023) - [i2]Matteo Cacciola, Antonio Frangioni, Andrea Lodi:
Structured Pruning of Neural Networks for Constraints Learning. CoRR abs/2307.07457 (2023) - 2022
- [i1]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi:
Deep Neural Networks pruning via the Structured Perspective Regularization. CoRR abs/2206.14056 (2022)
Coauthor Index
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