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2020 – today
- 2024
- [j43]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) - [j42]Edoardo Ragusa, Federica Zonzini, Paolo Gastaldo, Luca De Marchi:
Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics. IEEE Trans. Ind. Informatics 20(8): 10488-10498 (2024) - [c55]Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo:
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM. ICCE 2024: 1-2 - [i3]Tommaso Apicella, Alessio Xompero, Paolo Gastaldo, Andrea Cavallaro:
Segmenting Object Affordances: Reproducibility and Sensitivity to Scale. CoRR abs/2409.01814 (2024) - 2023
- [j41]Junaid Qadir, Ismail Butun, Paolo Gastaldo, Orazio Aiello, Daniele D. Caviglia:
Mitigating Cyber Attacks in LoRaWAN via Lightweight Secure Key Management Scheme. IEEE Access 11: 68301-68315 (2023) - [j40]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) - [j39]Ashish Alex, Lin Wang, Paolo Gastaldo, Andrea Cavallaro:
Data augmentation for speech separation. Speech Commun. 152: 102949 (2023) - [c54]Francesco Bellotti, Elisa Bricco, Agostino G. Bruzzone, Daniele D. Caviglia, Ermanno Di Zitti, Paolo Gastaldo, Daniele Grosso, Lauro Magnani, Mauro Olivieri, Marco Raggio, Maurizio Valle, Alessandro Verri, Riccardo Berta:
Alessandro De Gloria, a Pioneer in Electronic Engineering Applications. ApplePies 2023: 3-11 - [c53]Federica Zonzini, Edoardo Ragusa, Luca De Marchi, Paolo Gastaldo:
Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks. ApplePies 2023: 103-108 - [c52]Simone Lugani, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module. ApplePies 2023: 437-443 - [c51]Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria:
Selecting Language Models Features VIA Software-Hardware Co-Design. ICASSP 2023: 1-5 - [c50]Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo:
Affordance segmentation of hand-occluded containers from exocentric images. ICCV (Workshops) 2023: 1890-1899 - [c49]Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli, Paolo Gastaldo:
A hardware-aware neural architecture search algorithm targeting low-end microcontrollers. PRIME 2023: 281-284 - [i2]Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro, Paolo Gastaldo:
Affordance segmentation of hand-occluded containers from exocentric images. CoRR abs/2308.11233 (2023) - 2022
- [j38]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) - [j37]Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria:
Toward hardware-aware deep-learning-based dialogue systems. Neural Comput. Appl. 34(13): 10397-10408 (2022) - [j36]Ali Mohamed, Franz Wang, Ismail Butun, Junaid Qadir, Robert Lagerström, Paolo Gastaldo, Daniele D. Caviglia:
Enhancing Cyber Security of LoRaWAN Gateways under Adversarial Attacks. Sensors 22(9): 3498 (2022) - [c48]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 - [c47]Junaid Qadir, Ismail Butun, Paolo Gastaldo, Daniele D. Caviglia:
Review of Security Vulnerabilities in LoRaWAN. ApplePies 2022: 248-254 - [c46]Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. ICASSP 2022: 9152-9155 - [c45]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. ICECS 2022 2022: 1-4 - [c44]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 - [c43]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 - [i1]Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. CoRR abs/2203.01207 (2022) - 2021
- [j35]Edoardo Ragusa, Christian Gianoglio, Strahinja Dosen, Paolo Gastaldo:
Hardware-Aware Affordance Detection for Application in Portable Embedded Systems. IEEE Access 9: 123178-123193 (2021) - [j34]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Random-based networks with dropout for embedded systems. Neural Comput. Appl. 33(12): 6511-6526 (2021) - [j33]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) - [j32]Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria:
Emotion Recognition on Edge Devices: Training and Deployment. Sensors 21(13): 4496 (2021) - [c42]Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. AICAS 2021: 1-4 - [c41]Tommaso Apicella, Edoardo Ragusa, Alessio Canepa, Paolo Gastaldo:
A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles. ApplePies 2021: 86-92 - [c40]Tommaso Apicella, Andrea Cavallaro, Riccardo Berta, Paolo Gastaldo, Francesco Bellotti, Edoardo Ragusa:
An Affordance Detection Pipeline for Resource-Constrained Devices. ICECS 2021: 1-6 - [c39]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 - [c38]Ashish Alex, Lin Wang, Paolo Gastaldo, Andrea Cavallaro:
Mixup Augmentation for Generalizable Speech Separation. MMSP 2021: 1-6 - 2020
- [j31]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Image Polarity Detection on Resource-Constrained Devices. IEEE Intell. Syst. 35(6): 50-57 (2020) - [j30]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing 401: 405-417 (2020) - [j29]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) - [c37]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 - [c36]Edoardo Ragusa, Christian Gianoglio, Filippo Dalmonte, Paolo Gastaldo:
Video Grasping Classification Enhanced with Automatic Annotations. ApplePies 2020: 23-29 - [c35]Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria:
COAL: Convolutional Online Adaptation Learning for Opinion Mining. ICDM (Workshops) 2020: 15-22 - [c34]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
- [j28]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria:
Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. 11(1): 31-49 (2019) - [j27]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) - [j26]Lucia Seminara, Paolo Gastaldo, Simon J. Watt, Kenneth F. Valyear, Fernando Zuher, Fulvio Mastrogiovanni:
Active Haptic Perception in Robots: A Review. Frontiers Neurorobotics 13: 53 (2019) - [c33]Christian Gianoglio, Andrea Bruzzone, Edoardo Ragusa, Paolo Gastaldo:
Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus. ApplePies 2019: 301-307 - [c32]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 - [c31]Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Data-Driven Video Grasping Classification for Low-Power Embedded System. ICECS 2019: 871-874 - [c30]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino:
Fast Transfer Learning for Image Polarity Detection. INNSBDDL 2019: 27-37 - [c29]Mario Osta, Ali Ibrahim, Michele Magno, Manuel Eggimann, Antonio Pullini, Paolo Gastaldo, Maurizio Valle:
An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications. ISCAS 2019: 1-4 - 2018
- [j25]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) - [j24]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) - 2017
- [j23]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) - [j22]Ali Ibrahim, Paolo Gastaldo, Hussein Chible, Maurizio Valle:
Real-Time Digital Signal Processing Based on FPGAs for Electronic Skin Implementation. Sensors 17(3): 558 (2017) - 2016
- [j21]Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Inductive bias for semi-supervised extreme learning machine. Neurocomputing 174: 154-167 (2016) - [j20]Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino:
SIM-ELM: Connecting the ELM model with similarity-function learning. Neural Networks 74: 22-34 (2016) - [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
- [j19]Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino:
An ELM-based model for affective analogical reasoning. Neurocomputing 149: 443-455 (2015) - [j18]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) - [c28]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
- [j17]Paolo Gastaldo, Luigi Pinna, Lucia Seminara, Maurizio Valle, Rodolfo Zunino:
Computational Intelligence Techniques for Tactile Sensing Systems. Sensors 14(6): 10952-10976 (2014) - [c27]Federica Bisio, Paolo Gastaldo, Claudia Meda, Stefano Nasta, Rodolfo Zunino:
Machine Learning-Based System for Detecting Unseen Malicious Software. ApplePies 2014: 9-15 - [c26]Claudia Meda, Federica Bisio, Paolo Gastaldo, Rodolfo Zunino:
A machine learning approach for Twitter spammers detection. ICCST 2014: 1-6 - [c25]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 - [c24]Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi:
Semi-supervised machine learning approach for unknown malicious software detection. INISTA 2014: 52-59 - 2013
- [j16]Paolo Gastaldo, Rodolfo Zunino, Judith Redi:
Supporting visual quality assessment with machine learning. EURASIP J. Image Video Process. 2013: 54 (2013) - [j15]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) - [j14]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) - [c23]Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria:
Data intensive review mining for sentiment classification across heterogeneous domains. ASONAM 2013: 1061-1067 - [c22]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
- [j13]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
- [j12]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) - [j11]Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Efficient approximate Regularized Least Squares by Toeplitz matrix. Pattern Recognit. Lett. 32(3): 468-475 (2011) - [j10]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) - [c21]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 - [c20]Alessio Leoncini, Fabio Sangiacomo, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Semantic Oriented Clustering of Documents. ISNN (3) 2011: 523-529 - 2010
- [j9]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) - [j8]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) - [c19]Fabio Sangiacomo, Alessio Leoncini, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
SeaLab Advanced Information Retrieval. ICSC 2010: 444-445
2000 – 2009
- 2009
- [j7]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) - [c18]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 - [c17]Judith Redi, Paolo Gastaldo, Rodolfo Zunino:
Hybrid Neural Systems for Reduced-Reference Image Quality Assessment. ICANN (2) 2009: 684-693 - [c16]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 - [c15]Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino:
Circuit implementation of SVM training. IJCNN 2009: 646-651 - [c14]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
- [j6]Paolo Gastaldo, Giovanni Parodi, Rodolfo Zunino:
Enhanced Montgomery Multiplication on DSP Architectures for Embedded Public-Key Cryptosystems. EURASIP J. Embed. Syst. 2008 (2008) - [c13]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Hypermetric k-Means Clustering for Content-Based Document Management. CISIS 2008: 61-68 - [c12]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Non-stationary Data Mining: The Network Security Issue. ICANN (2) 2008: 32-41 - [c11]Judith Redi, Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx:
Co-occurrence Matrixes for the Quality Assessment of Coded Images. ICANN (1) 2008: 897-906 - 2007
- [c10]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 - [c9]Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Davide Leoncini, Francesco Picasso, Rodolfo Zunino:
Intrusion Detection at Packet Level by Unsupervised Architectures. IDEAL 2007: 718-727 - [c8]Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Rodolfo Zunino:
A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems. IWANN 2007: 1138-1146 - [c7]Paolo Gastaldo, Francesco Picasso, Rodolfo Zunino, Álvaro Herrero, Emilio Corchado, José Manuel Sáiz:
IDS Based on Bio-inspired Models. KES (2) 2007: 133-140 - [c6]Paolo Gastaldo, Giovanni Parodi, Sergio Decherchi, Rodolfo Zunino:
Efficient Implementation of SVM Training on Embedded Electronic Systems. WILF 2007: 269-276 - 2006
- [j5]Paolo Gastaldo, Sandro Ridella, Rodolfo Zunino:
Prospects of quantum-classical optimization for digital design. Appl. Math. Comput. 179(2): 581-595 (2006) - [c5]Sergio Decherchi, Giovanni Parodi, Paolo Gastaldo, Rodolfo Zunino:
Embedded Electronics Systems for Training Support Vector Machines. IJCNN 2006: 2838-2844 - 2005
- [j4]Paolo Gastaldo, Rodolfo Zunino:
Neural networks for the no-reference assessment of perceived quality. J. Electronic Imaging 14(3): 033004 (2005) - [j3]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
- [c4]Paolo Gastaldo, Rodolfo Zunino:
No-reference quality assessment of JPEG images by using CBP neural networks. ISCAS (5) 2004: 772-775 - 2002
- [j2]Paolo Gastaldo, Rodolfo Zunino, Stefano Rovetta:
Objective assessment of MPEG-2 video quality. J. Electronic Imaging 11(3): 365-374 (2002) - [j1]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) - [c3]Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario:
Circular Back-Propagation Networks for Measuring Displayed Image Quality. ICANN 2002: 1219-1224 - [c2]P. Carrai, Ingrid Heynderickx, Paolo Gastaldo, Rodolfo Zunino:
Image quality assessment by using neural networks. ISCAS (5) 2002: 253-256 - [c1]Paolo Gastaldo, Rodolfo Zunino:
Hausdorff distance for target detection. ISCAS (5) 2002: 661-664
Coauthor Index
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