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2020 – today
- 2024
- [j62]Edoardo Ragusa, Tommaso Taccioli, Alessio Canepa, Rodolfo Zunino, Paolo Gastaldo:
Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs. IEEE Access 12: 124009-124020 (2024) - [j61]Edoardo Ragusa, Federica Zonzini, Luca De Marchi, Rodolfo Zunino:
Compression-Accuracy Co-Optimization Through Hardware-Aware Neural Architecture Search for Vibration Damage Detection. IEEE Internet Things J. 11(19): 31745-31757 (2024) - 2023
- [j60]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
An approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices. Neural Comput. Appl. 35(9): 6753-6766 (2023) - [c80]Simone Lugani, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module. ApplePies 2023: 437-443 - 2022
- [j59]Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Design and Deployment of an Image Polarity Detector with Visual Attention. Cogn. Comput. 14(1): 261-273 (2022) - [c79]Edoardo Ragusa, Matteo Pastorino Ghezzi, Rodolfo Zunino, Paolo Gastaldo:
Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems. ApplePies 2022: 109-116 - [c78]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. ICECS 2022 2022: 1-4 - [c77]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Maurizio Valle, Paolo Gastaldo:
A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication. ICECS 2022 2022: 1-4 - [c76]Edoardo Ragusa, Valentina Mastronardi, Deborah Pedone, Mauro Moglianetti, Pier Paolo Pompa, Rodolfo Zunino, Paolo Gastaldo:
Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels. SYSINT 2022: 95-104 - 2021
- [j58]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Random-based networks with dropout for embedded systems. Neural Comput. Appl. 33(12): 6511-6526 (2021) - [j57]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects. Sensors 21(4): 1252 (2021) - [c75]Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. AICAS 2021: 1-4 - [c74]Alessio Canepa, Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino:
A pose-based hand image classification method retrainable on embedded target devices. ICECS 2021: 1-6 - [c73]Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Maurizio Valle:
1-D Convolutional Neural Networks for Touch Modalities Classification. ICECS 2021: 1-6 - 2020
- [j56]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Image Polarity Detection on Resource-Constrained Devices. IEEE Intell. Syst. 35(6): 50-57 (2020) - [j55]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing 401: 405-417 (2020) - [j54]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices. Neural Process. Lett. 51(2): 1611-1629 (2020) - [c72]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization. AICAS 2020: 276-280 - [c71]Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
An hardware-aware image polarity detector enhanced with visual attention. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j53]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. 11(1): 31-49 (2019) - [j52]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi:
Cognitive Insights into Sentic Spaces Using Principal Paths. Cogn. Comput. 11(5): 656-675 (2019) - [c70]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function. ICECS 2019: 89-92 - [c69]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Data-Driven Video Grasping Classification for Low-Power Embedded System. ICECS 2019: 871-874 - [c68]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino:
Fast Transfer Learning for Image Polarity Detection. INNSBDDL 2019: 27-37 - [c67]Hassan Mokalled, Rosario Catelli, Valentina Casola, Daniele Debertol, Ermete Meda, Rodolfo Zunino:
The Applicability of a SIEM Solution: Requirements and Evaluation. WETICE 2019: 132-137 - [p2]Hassan Mokalled, Concetta Pragliola, Daniele Debertol, Ermete Meda, Rodolfo Zunino:
A Comprehensive Framework for the Security Risk Management of Cyber-Physical Systems. Resilience of Cyber-Physical Systems 2019: 49-68 - 2018
- [j51]Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Bayesian network based extreme learning machine for subjectivity detection. J. Frankl. Inst. 355(4): 1780-1797 (2018) - [j50]Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino:
A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices. IEEE Trans. Circuits Syst. II Express Briefs 65-II(8): 1104-1108 (2018) - [c66]Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino:
Text-Image Sentiment Analysis. CICLing (2) 2018: 169-180 - 2017
- [j49]Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino:
Learning with similarity functions: A novel design for the extreme learning machine. Neurocomputing 261: 37-49 (2017) - 2016
- [j48]Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Inductive bias for semi-supervised extreme learning machine. Neurocomputing 174: 154-167 (2016) - [j47]Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino:
SIM-ELM: Connecting the ELM model with similarity-function learning. Neural Networks 74: 22-34 (2016) - [c65]Claudia Meda, Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Augusto Ottaviano, Eugenio Scillia, Roberto Surlinelli:
Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling. ASONAM 2016: 811-817 - [p1]Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework. Sentiment Analysis and Ontology Engineering 2016: 175-197 - 2015
- [j46]Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino:
An ELM-based model for affective analogical reasoning. Neurocomputing 149: 443-455 (2015) - [j45]Paolo Gastaldo, Luigi Pinna, Lucia Seminara, Maurizio Valle, Rodolfo Zunino:
A tensor-based approach to touch modality classification by using machine learning. Robotics Auton. Syst. 63: 268-278 (2015) - [c64]Federica Bisio, Claudia Meda, Rodolfo Zunino, Roberto Surlinelli, Eugenio Scillia, Augusto Ottaviano:
Real-time monitoring of Twitter traffic by using semantic networks. ASONAM 2015: 966-969 - [c63]Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
A learning scheme based on similarity functions for affective common-sense reasoning. IJCNN 2015: 1-6 - 2014
- [j44]Paolo Gastaldo, Luigi Pinna, Lucia Seminara, Maurizio Valle, Rodolfo Zunino:
Computational Intelligence Techniques for Tactile Sensing Systems. Sensors 14(6): 10952-10976 (2014) - [c62]Federica Bisio, Paolo Gastaldo, Claudia Meda, Stefano Nasta, Rodolfo Zunino:
Machine Learning-Based System for Detecting Unseen Malicious Software. ApplePies 2014: 9-15 - [c61]Claudia Meda, Federica Bisio, Paolo Gastaldo, Rodolfo Zunino:
A machine learning approach for Twitter spammers detection. ICCST 2014: 1-6 - [c60]Stefano Caviglia, Paolo Gastaldo, Rodolfo Zunino, Daniele D. Caviglia:
A high-linearity design for rail-to-rail fully differential current conveyors. ICECS 2014: 550-553 - [c59]Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi:
Semi-supervised machine learning approach for unknown malicious software detection. INISTA 2014: 52-59 - 2013
- [j43]Paolo Gastaldo, Rodolfo Zunino, Judith Redi:
Supporting visual quality assessment with machine learning. EURASIP J. Image Video Process. 2013: 54 (2013) - [j42]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j41]Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Judith Redi:
Circular-ELM for the reduced-reference assessment of perceived image quality. Neurocomputing 102: 78-89 (2013) - [c58]Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria:
Data intensive review mining for sentiment classification across heterogeneous domains. ASONAM 2013: 1061-1067 - [c57]Rodolfo Zunino, Federica Bisio, Chiara Peretti, Roberto Surlinelli, Eugenio Scillia, Augusto Ottaviano, Fabio Sangiacomo:
An analyst-adaptive approach to focused crawlers. ASONAM 2013: 1073-1077 - [c56]Chiara Peretti, Paolo Gastaldo, Marco Stramezzi, Rodolfo Zunino:
Embedded implementation of Edwards curve- and extended Jacobi quartic curve-based cryptosystems. ICITST 2013: 394-400 - 2012
- [j40]Sergio Decherchi, Paolo Gastaldo, Alessio Leoncini, Rodolfo Zunino:
Efficient Digital Implementation of Extreme Learning Machines for Classification. IEEE Trans. Circuits Syst. II Express Briefs 59-II(8): 496-500 (2012) - 2011
- [j39]Sergio Decherchi, Paolo Gastaldo, Fabio Sangiacomo, Alessio Leoncini, Rodolfo Zunino:
Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications. Intell. Data Anal. 15(2): 193-214 (2011) - [j38]Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunino, Ingrid Heynderickx:
Efficient neural-network-based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images. J. Electronic Imaging 20(4): 043007 (2011) - [j37]Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Efficient approximate Regularized Least Squares by Toeplitz matrix. Pattern Recognit. Lett. 32(3): 468-475 (2011) - [j36]Sergio Decherchi, Paolo Gastaldo, Ravinder S. Dahiya, Maurizio Valle, Rodolfo Zunino:
Tactile-Data Classification of Contact Materials Using Computational Intelligence. IEEE Trans. Robotics 27(3): 635-639 (2011) - [c55]Judith Redi, Hantao Liu, Rodolfo Zunino, Ingrid Heynderickx:
Interactions of visual attention and quality perception. Human Vision and Electronic Imaging 2011: 78650S - [c54]Sergio Decherchi, Davide Leoncini, Paolo Gastaldo, Rodolfo Zunino, Osvaldo Faggioni, Maurizio Soldani:
Computational intelligence methods for underwater magnetic-based protection systems. IJCNN 2011: 238-245 - [c53]Alessio Leoncini, Fabio Sangiacomo, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Semantic Oriented Clustering of Documents. ISNN (3) 2011: 523-529 - [c52]Alessio Leoncini, Fabio Sangiacomo, Chiara Peretti, Sonia Argentesi, Rodolfo Zunino, Erik Cambria:
Semantic Models for Style-Based Text Clustering. ICSC 2011: 75-82 - 2010
- [j35]Paolo Buschiazzo, Davide Leoncini, Rodolfo Zunino, Anna Marina Scapolla:
A Web-Based Laboratory for Digital Signal Processing. Int. J. Online Eng. 6(S1): 6-11 (2010) - [j34]Judith Redi, Paolo Gastaldo, Ingrid Heynderickx, Rodolfo Zunino:
Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality. IEEE Trans. Circuits Syst. Video Technol. 20(12): 1757-1769 (2010) - [j33]Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita:
Using unsupervised analysis to constrain generalization bounds for support vector classifiers. IEEE Trans. Neural Networks 21(3): 424-438 (2010) - [c51]Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunino, Ingrid Heynderickx:
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000. Human Vision and Electronic Imaging 2010: 75271 - [c50]Fabio Sangiacomo, Alessio Leoncini, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
SeaLab Advanced Information Retrieval. ICSC 2010: 444-445
2000 – 2009
- 2009
- [j32]Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Rodolfo Zunino:
Neural projection techniques for the visual inspection of network traffic. Neurocomputing 72(16-18): 3649-3658 (2009) - [c49]Sergio Decherchi, Simone Tacconi, Judith Redi, Alessio Leoncini, Fabio Sangiacomo, Rodolfo Zunino:
Text Clustering for Digital Forensics Analysis. CISIS 2009: 29-36 - [c48]Davide Leoncini, Sergio Decherchi, Osvaldo Faggioni, Paolo Gastaldo, Maurizio Soldani, Rodolfo Zunino:
A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection. CISIS 2009: 37-44 - [c47]Judith Redi, Paolo Gastaldo, Rodolfo Zunino:
Hybrid Neural Systems for Reduced-Reference Image Quality Assessment. ICANN (2) 2009: 684-693 - [c46]Judith Redi, Hantao Liu, Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx:
How to apply spatial saliency into objective metrics for JPEG compressed images? ICIP 2009: 961-964 - [c45]Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino:
Circuit implementation of SVM training. IJCNN 2009: 646-651 - [c44]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Maximal-discrepancy bounds for regularized classifiers. IJCNN 2009: 652-656 - [e2]Emilio Corchado, Rodolfo Zunino, Paolo Gastaldo, Álvaro Herrero:
Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems, CISIS'08, Genova, Italy, October 23-24, 2008. Advances in Soft Computing 53, Springer 2009, ISBN 978-3-540-88180-3 [contents] - [e1]Álvaro Herrero, Paolo Gastaldo, Rodolfo Zunino, Emilio Corchado:
Computational Intelligence in Security for Information Systems - CISIS'09, 2nd International Workshop, Burgos, Spain, 23-26 September 2009 Proceedings. Advances in Intelligent and Soft Computing 63, Springer 2009, ISBN 978-3-642-04090-0 [contents] - 2008
- [j31]Paolo Gastaldo, Giovanni Parodi, Rodolfo Zunino:
Enhanced Montgomery Multiplication on DSP Architectures for Embedded Public-Key Cryptosystems. EURASIP J. Embed. Syst. 2008 (2008) - [c43]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Hypermetric k-Means Clustering for Content-Based Document Management. CISIS 2008: 61-68 - [c42]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Non-stationary Data Mining: The Network Security Issue. ICANN (2) 2008: 32-41 - [c41]Judith Redi, Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx:
Co-occurrence Matrixes for the Quality Assessment of Coded Images. ICANN (1) 2008: 897-906 - 2007
- [c40]Paolo Gastaldo, Giovanni Parodi, Judith Redi, Rodolfo Zunino:
No-Reference Quality Assessment of JPEG Images by Using CBP Neural Networks. ICANN (2) 2007: 564-572 - [c39]Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Davide Leoncini, Francesco Picasso, Rodolfo Zunino:
Intrusion Detection at Packet Level by Unsupervised Architectures. IDEAL 2007: 718-727 - [c38]Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Rodolfo Zunino:
A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems. IWANN 2007: 1138-1146 - [c37]Paolo Gastaldo, Francesco Picasso, Rodolfo Zunino, Álvaro Herrero, Emilio Corchado, José Manuel Sáiz:
IDS Based on Bio-inspired Models. KES (2) 2007: 133-140 - [c36]Paolo Gastaldo, Giovanni Parodi, Sergio Decherchi, Rodolfo Zunino:
Efficient Implementation of SVM Training on Embedded Electronic Systems. WILF 2007: 269-276 - 2006
- [j30]Paolo Gastaldo, Sandro Ridella, Rodolfo Zunino:
Prospects of quantum-classical optimization for digital design. Appl. Math. Comput. 179(2): 581-595 (2006) - [c35]Sergio Decherchi, Giovanni Parodi, Paolo Gastaldo, Rodolfo Zunino:
Embedded Electronics Systems for Training Support Vector Machines. IJCNN 2006: 2838-2844 - 2005
- [j29]Paolo Gastaldo, Rodolfo Zunino:
Neural networks for the no-reference assessment of perceived quality. J. Electronic Imaging 14(3): 033004 (2005) - [j28]Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario:
Objective quality assessment of displayed images by using neural networks. Signal Process. Image Commun. 20(7): 643-661 (2005) - 2004
- [j27]Sandro Ridella, Rodolfo Zunino:
Using K-Winner Machines for domain analysis. Neurocomputing 62: 367-388 (2004) - [c34]Paolo Gastaldo, Rodolfo Zunino:
No-reference quality assessment of JPEG images by using CBP neural networks. ISCAS (5) 2004: 772-775 - 2003
- [j26]Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Hyperparameter design criteria for support vector classifiers. Neurocomputing 55(1-2): 109-134 (2003) - [j25]Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Quantum optimization for training support vector machines. Neural Networks 16(5-6): 763-770 (2003) - [j24]Massimiliano Bracco, Sandro Ridella, Rodolfo Zunino:
Digital implementation of hierarchical vector quantization. IEEE Trans. Neural Networks 14(5): 1072-1084 (2003) - 2002
- [j23]Paolo Gastaldo, Rodolfo Zunino, Stefano Rovetta:
Objective assessment of MPEG-2 video quality. J. Electronic Imaging 11(3): 365-374 (2002) - [j22]Paolo Gastaldo, Stefano Rovetta, Rodolfo Zunino:
Objective quality assessment of MPEG-2 video streams by using CBP neural networks. IEEE Trans. Neural Networks 13(4): 939-947 (2002) - [c33]Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario:
Circular Back-Propagation Networks for Measuring Displayed Image Quality. ICANN 2002: 1219-1224 - [c32]Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Automatic Hyperparameter Tuning for Support Vector Machines. ICANN 2002: 1345-1350 - [c31]P. Carrai, Ingrid Heynderickx, Paolo Gastaldo, Rodolfo Zunino:
Image quality assessment by using neural networks. ISCAS (5) 2002: 253-256 - [c30]Paolo Gastaldo, Rodolfo Zunino:
Hausdorff distance for target detection. ISCAS (5) 2002: 661-664 - 2001
- [j21]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
K-winner machines for pattern classification. IEEE Trans. Neural Networks 12(2): 371-385 (2001) - [j20]Sandro Ridella, Rodolfo Zunino:
Empirical measure of multiclass generalization performance: the K-winner machine case. IEEE Trans. Neural Networks 12(6): 1525-1529 (2001) - 2000
- [j19]Rodolfo Zunino, Stefano Rovetta:
Vector quantization for license-plate location and image coding. IEEE Trans. Ind. Electron. 47(1): 159-167 (2000) - [c29]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
The K-Winner Machine Model. IJCNN (1) 2000: 106-113 - [c28]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Augmenting vector quantization with interval arithmetics for image-coding applications. ISCAS 2000: 307-310
1990 – 1999
- 1999
- [j18]Stefano Rovetta, Rodolfo Zunino:
A multiprocessor-oriented visual tracking system. IEEE Trans. Ind. Electron. 46(4): 842-850 (1999) - [j17]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Representation and generalization properties of class-entropy networks. IEEE Trans. Neural Networks 10(1): 31-47 (1999) - [j16]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Circular backpropagation networks embed vector quantization. IEEE Trans. Neural Networks 10(4): 972-975 (1999) - [c27]Stefano Rovetta, Rodolfo Zunino:
License-plate localization by using vector quantization. ICASSP 1999: 1113-1116 - [c26]Stefano Rovetta, Rodolfo Zunino:
Flexible video compression systems using an analog vector quantization chip. ICASSP 1999: 1941-1944 - [c25]Stefano Rovetta, Rodolfo Zunino:
VLSI circuits with fractal layout for spatial image decorrelation. ISCAS (4) 1999: 110-113 - [c24]Rodolfo Zunino, Stefano Rovetta:
Visual location of license plates by vector quantization. ISCAS (4) 1999: 135-138 - [c23]Stefano Rovetta, Rodolfo Zunino:
Analog vector quantization chip for flexible video compression systems. ISCAS (4) 1999: 367-370 - 1998
- [j15]Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
An Image-Recognition System Implemented on Hierarchical Parallel Architectures. Int. J. Pattern Recognit. Artif. Intell. 12(3): 293-310 (1998) - [j14]Fabio Ancona, Rodolfo Zunino:
Hypercube structures with high-connectivity supporting nodes. J. Syst. Archit. 44(9-10): 803-814 (1998) - [j13]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Plastic Algorithm for Adaptive Vector Quantisation. Neural Comput. Appl. 7(1): 37-51 (1998) - 1997
- [j12]Fabio Ancona, Anna Maria Colla, Stefano Rovetta, Rodolfo Zunino:
Implementing Probabilistic Neural Networks. Neural Comput. Appl. 5(3): 152-159 (1997) - [j11]Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
Transputer-Based Implementation of Distributed Associative Memories. Parallel Comput. 23(10): 1479-1491 (1997) - [j10]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Circular backpropagation networks for classification. IEEE Trans. Neural Networks 8(1): 84-97 (1997) - [c22]Fabio Ancona, Rodolfo Zunino:
Optimal data allocation for processor-tree architectures. EUROMICRO 1997: 351-358 - [c21]Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
High performance in tree-based parallel architectures. EUROMICRO 1997: 474-481 - [c20]Fabio Ancona, Giorgio Oddone, Stefano Rovetta, Gianni Uneddu, Rodolfo Zunino:
VLSI Architectures for Programmable Sorting of Analog Quantities with Multiple-Chip Support. Great Lakes Symposium on VLSI 1997: 94-99 - [c19]Fabio Ancona, Alessandro De Gloria, Rodolfo Zunino:
Parallel VLSI Architectures for Cryptographic Systems. Great Lakes Symposium on VLSI 1997: 176-181 - [c18]Riccardo Bozzo, Luca Sciutto, Rodolfo Zunino:
BP networks for partial discharge analysis and dielectric classification. ICNN 1997: 37-42 - [c17]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
CBP networks as a generalized neural model. ICNN 1997: 210-214 - [c16]Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
Parallel architectures for vector quantization. ICNN 1997: 899-903 - [c15]Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
Hardware implementation of the neural gas. ICNN 1997: 991-994 - [c14]Fabio Ancona, Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
On the importance of sorting in "neural gas" training of vector quantizers. ICNN 1997: 1804-1808 - 1996
- [c13]Fabio Ancona, Giancarlo Parodi, Rodolfo Zunino:
Sensor integration in associative visual structures. EUSIPCO 1996: 1-4 - [c12]Fabio Ancona, Giorgio Oddone, Stefano Rovetta, Gianni Uneddu, Rodolfo Zunino:
A vector quantization circuit for trainable neural networks. ICECS 1996: 1131-1134 - [c11]Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
A parallel approach to plastic neural gas. ICNN 1996: 126-130 - [c10]Davide Anguita, Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Limiting the effects of weight errors in feedforward networks using interval arithmetic. ICNN 1996: 414-417 - 1995
- [j9]Davide Anguita, Giancarlo Parodi, Rodolfo Zunino:
Neural structures for visual motion tracking. Mach. Vis. Appl. 8(5): 275-288 (1995) - [j8]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Adaptive Internal Representation in Circular Back-Propagation Networks. Neural Comput. Appl. 3(4): 222-333 (1995) - [c9]Guido Rovetta, Patrizia Monteforte, Gerolamo Bianchi, Stefano Rovetta, Rodolfo Zunino:
Validation of a Large Medical Database. CBMS 1995: 57-64 - [c8]Stefano Rovetta, Rodolfo Zunino, Laura Buffrini, Guido Rovetta:
Prototyping Neural Networks Learn Lyme Borreliosis. CBMS 1995: 111-117 - [c7]Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Learning the appropriate representation paradigm by circular processing units. ESANN 1995 - [c6]Davide Anguita, Filippo Passaggio, Rodolfo Zunino:
Learning in large neural networks. HPCN Europe 1995: 269-274 - 1994
- [j7]Davide Anguita, Giancarlo Parodi, Rodolfo Zunino:
An efficient implementation of BP on RISC-based workstations. Neurocomputing 6(1): 57-65 (1994) - [j6]Davide Anguita, Giancarlo Parodi, Rodolfo Zunino:
Associative structures for vision. Multidimens. Syst. Signal Process. 5(1): 75-96 (1994) - [j5]Sandro Ridella, Gian Luca Speroni, Paolo Trebino, Rodolfo Zunino:
Class-Entropy Minimisation Networks for Domain Analysis and Rule Extraction. Neural Comput. Appl. 2(1): 40-52 (1994) - [c5]Gerolamo Bianchi, Laura Buffrini, Patrizia Monteforte, Guido Rovetta, Stefano Rovetta, Rodolfo Zunino:
Neural approaches to the diagnosis and characterization of the Lyme disease. CBMS 1994: 194-199 - 1993
- [j4]Giancarlo Parodi, Sandro Ridella, Rodolfo Zunino:
Using chaos to generate keys for associative noise-like coding memories. Neural Networks 6(4): 559-572 (1993) - [j3]Fabrizio Pagano, Giancarlo Parodi, Rodolfo Zunino:
Parallel Implementation of Associative Memories for Image Classification. Parallel Comput. 19(6): 667-684 (1993) - [j2]Alberto Diaspro, Giancarlo Parodi, Rodolfo Zunino:
A performance analysis of an associative system for image classification. Pattern Recognit. Lett. 14(11): 861-868 (1993) - [c4]Sandro Ridella, Gian Luca Speroni, Paolo Trebino, Rodolfo Zunino:
Pruning and rule extraction using class entropy. ICNN 1993: 250-256 - 1992
- [j1]Carlo Moneta, Gianni Vernazza, Rodolfo Zunino:
On the need for integrated approaches to image understanding. Eur. Trans. Telecommun. 3(5): 465-478 (1992) - 1991
- [c3]Davide Anguita, Giancarlo Parodi, Domenico Ponta, Rodolfo Zunino:
Transputer-based architectures for associative image classification. SPDP 1991: 241-248 - 1990
- [c2]Gian Luca Foresti, Vittorio Murino, Carlo S. Regazzoni, Rodolfo Zunino:
Map-Driven Image Interpretation by Associative Model Indexing. MVA 1990: 385-388
1980 – 1989
- 1989
- [c1]Paolo Merialdo, Pier Carlo Pecollo, Carlo S. Regazzoni, Gianni Vernazza, Rodolfo Zunino:
Integration of Territorial Maps in the Vision System of an Autonomous Land Vehicle. IAS 1989: 694-704
Coauthor Index
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