In this page you can find a complete list of the papers published by the members of the SEA Lab in:
Journal Papers
Ragusa E, Canuti GL, Lugani S, Zunino R, Gastaldo P
Filling the Pareto optimal front for affordance segmentation on embedded devices using RGB-D cameras
IEEE Sensors, 2025, in press
Ragusa E, Taccioli T, Capello A, Zunino R, Gastaldo P
Design and implementation of tiny Deep Neural Networks for landing pad detection on UAVs
IEEE Access, 2024, vol.12, pp. 124009-124020
Zonzini F, Ragusa E, DeMarchi L, Zunino R
Compression-Accuracy Co-optimization through Hardware-aware Neural Architecture Search for Vibration Damage Detection
IEEE Internet of Things Journal, Oct 2024, vol.11, No.19, pp. 31745-31757
Ragusa E, Gastaldo P, Dosen S, Zunino R
Affordance Segmentation Using Tiny Networks For Sensing Systems In Wearable Robotic Devices
IEEE Sensors Journal, 2023, vol.23, No.19, pp.23916-23926
Ragusa E, Gianoglio C, Zunino R, Gastaldo P
An Approximate Randomization-Based Neural Network with Dedicated Digital Architecture for Energy-constrained Devices
Neural Computing and Applications, 2023, vol35, No.9, pp.6753-6766
Ragusa E, Mastronardi V, Pompa PP, Moglianetti M, Gastaldo P, Zunino R
Design of a quantitative readout in a point of care device for cisplatin detection
IEEE Sensors Letters, 2022, Issue Nov. 6(11), 6004114, https://doi.org/10.1109/LSENS.2022.3219628
Soldani M, Faggioni O, Zunino R, Carbone A, Gemma M
The LAMA system: a "smart" magnetometer network for harbour protection
Journal of Applied GeoPhysics, 2022, vol.204, No. 104743, https://doi.org/10.1016/j.jappgeo.2022.104743
Mastronardi V, Moglianetti M, Ragusa E, Zunino R, Pompa PP
From a chemotherapeutic drug to a high-performance nanocatalyst: a fast colorimetric test for cisplatin detection at ppb level
Biosensors, 2022, vol.12, No. 375, pp. 1-10 https://doi.org/10.3390/bios12060375
Canepa A, Ragusa E, Zunino R, Gastaldo P
T-RexNet-A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects
Sensors, 2021, vol.21, pp 1252-1269
Ragusa E, Apicella T, Gianoglio C, Zunino R, Gastaldo P
Design and deployment of an image polarity detector with visual attention
Cognitive Computation, 2021, https://doi.org/10.1007/s12559-021-09829-6
Ragusa E, Gianoglio C, Zunino R, Gastaldo P
Image polarity detection on resource-constrained devices
IEEE Intelligent Systems, 2020, vol. 35, No.6, pp. 50-57
Ragusa E, Gianoglio C, Zunino R, Gastaldo P
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices
Neural Processing Letters, 2020, vol.51, pp.1611-1629
Ragusa E, Gianoglio C, Zunino R, Gastaldo P
Random-based networks with dropout for embedded systems
Neural Computing and Applications, 2020, https://doi.org/10.1007/s00521-020-05414-4
Ragusa E, Gastaldo P, Zunino R, Cambria E
Balancing computational complexity and generalization ability: a novel design for ELM
Neurocomputing, 2020, vol.401, pp. 405-417
Gianoglio C, Ragusa E, Bruzzone A, Gastaldo P, Zunino R, Guastavino F
Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus
Energies, 2020, vol.13, No.5, pp.1109-1126
Mokalled H, Catelli R, Casola V, Debertol D, Meda E, Zunino R
The Guidelines to Adopt an Applicable SIEM Solution
Journal of Information Security (JIS), 2019, No.11, pp.46-70
Ragusa E, Gastaldo P, Zunino R, Cambria E
A survey on deep learning in image polarity detection: balancing generalization performances and computational costs
Electronics, 2019, vol.8, no.7
Ragusa E, Gastaldo P, Zunino R, Ferrarotti MJ, Rocchia W, Decherchi S
Cognitive Insights Into Sentic Spaces Through Principal Paths
Cognitive Computation, 2019, pp.1-20
Ragusa E, Gastaldo P, Zunino R, Cambria E
Learning with Similarity Functions: A Tensor-based Framework
Cognitive Computation, 2018, vol.11, No.1, pp.31-49
Gastaldo P, Gianoglio C, Ragusa E, Zunino R
A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices
IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, vol.65, No.8, pp.1104-1108
Chaturvedi I, Ragusa E, Gastaldo P, Zunino R, Cambria E
Bayesian Network based Extreme Learning Machine for Subjectivity Detection
Journal of the Franklin Institute, 2018, vol. 355, pp. 1780-1797
Faggioni O, Soldani M, Cozzani G, Zunino R
Informative signal analysis: metrology of the underwater geomagnetic singularities in low-density ionic solution (sea water)
Journal of Signal and Information Processing, 2018, vol.9, No.1, pp. 1-23
Gastaldo P, Bisio F, Gianoglio C, Ragusa E, Zunino R
Learning with Similarity Functions: a Novel Design for the Extreme Learning Machine
Neurocomputing, 2017, vol.261, pp.37-49
Gastaldo P, Bisio F, Decherchi S, Zunino R
SIM-ELM: Connecting the ELM model with Similarity-Function Learning
Neural Networks, Feb 2016, vol.74, pp. 22-34
Bisio F, Decherchi S, Gastaldo P, Zunino R
Inductive Bias for Semi-supervised Extreme Learning Machine
Neurocomputing, 2016, vol. 174, part A, pp. 154-167
Perelli A, Faggioni O, Soldani M, Zunino R
Design and performance analysis of a piezoelectric generator by Von Karman vortexes for underwater energy harvesting
Journal of Energy Challenges and Mechanics, 2014, vol.1, No.3, art.3, pp.1-6
Gastaldo P, Pinna L, Seminara L, Valle M, Zunino R
A tensor-based approach to touch modality classification by using Machine Learning Robotics and Autonomous Systems
Robotics and Autonomous Systems, Elsevier, 2015, vol. 63, p. 268-278
Peretti C, Leoncini A, Gastaldo P, Zunino R
Edwards Curves and Extended Jacobi Quartic-Curves for Efficient Support of Elliptic-Curve Cryptosystems in Embedded Systems
Int. Journal for Information Security Research (IJISR), 2013, No.3-4, pp.449-458
Gastaldo P, Pinna L, Seminara L, Valle M, Zunino R
Computational intelligence techniques for tactile sensing systems
Sensors, 2014, vol.14, pp.10952-10976
Gastaldo P, Pinna L, Seminara L, Valle M, Zunino R
A Tensor-Based Pattern-Recognition Framework for the Interpretation of Touch Modality in Artificial Skin Systems
IEEE Sensors, 2014, vol.14, No.7, pp. 2216-2225
Cambria E, Gastaldo P, Bisio F, Zunino R
An ELM-Based Model for Affective Analogical Reasoning
Neurocomputing, 2014, No.149, pp.443-455
Gastaldo P, Zunino R, Cambria E, Decherchi S
Combining ELM with Random Projections
IEEE Intelligent Systems, 2013, Nov/Dec 2013, pp. 46-48
Gastaldo P, Zunino R, Redi J
Supporting Visual Quality Assessment with Machine Learning
EURASIP Journal on Image and Video Processing, 2013, vol.54, pp. 1-15
Decherchi S, Gastaldo P, Redi J, Zunino R, Cambria E
Circular-ELM for the Reduced-Reference Assessment of Perceived Image Quality
Neurocomputing, 2013, No.102, pp.78-89
Decherchi S, Gastaldo P, Leoncini A, Zunino R
Efficient Digital Implementation of Extreme Learning Machines for Classification
IEEE Transactions on Circuits and Systems II, 2012, vol.50, No.8, pp.496-500
Decherchi S, Gastaldo P, Dahiya RS, Valle M, Zunino R
Tactile Data Classification of Contact Materials Using Computational Intelligence
IEEE Transactions on Robotics, 2011, vol.27, No.3, pp.635-639
Decherchi S, Gastaldo P, Zunino R
Efficient Approximate Regularized Least Squares by Toeplitz Matrix
Pattern Recognition Letters, 2011, vol.32, No.3, pp. 468-475
Decherchi S, Gastaldo P, Leoncini A, Sangiacomo F, Zunino R
Operative Assessment of Predicted Generalization Errors on Non-Stationary Distributions in Data-Intensive Applications
Intelligent Data Analysis, 2011, vol.15, No.2, pp.193-214
Liu H, Redi J, Alers H, Zunino R, Heynderickx I
An Efficient Neural Network based No-Reference Approach to an Overall Quality Metric for JPEG and JPEG2000 Compressed Images
SPIE Journal on Electronic Imaging, Oct-Dec 2011, vol.20, No.4, pp. 043007-1/14
Redi J, Gastaldo P, Heynderickx I, Zunino R
Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality
IEEE Trans. Circuits and Systems for Video Technology, Dec 2010, vol.20, No.12, pp 1757-1769
Buschiazzo P, Leoncini D, Zunino R, Scapolla AM
A Web-Based Laboratory for Digital Signal Processing Abstract PDF
International Journal of Online Engineering (iJOE), 2010, No. 6, pp. 6-11
Decherchi S, Gastaldo P, Ridella S, Zunino R, Anguita D
Using unsupervised analysis to constrain generalization bounds of Support Vector Classifiers
IEEE Trans. Neural Networks, March 2010, vol.21, No.3, pp. 424-438
Decherchi S, Tacconi S, Redi J, Leoncini A, Sangiacomo F, Zunino R
Text Clustering for Digital Forensics Analysis
Journal of Information Assurance and Security, 2010, No. 5, pp. 384-391
Leoncini D, Decherchi S, Faggioni O, Gastaldo P, Soldani M, Zunino R
Linear SVM for Underwater Magnetic Signals Based Port Protection
Journal of Information Assurance and Security, 2010, No. 5, pp. 401-408
Decherchi S, Gastaldo P, Redi J, Zunino R
A text clustering framework for information retrieval
Journal of Information Assurance and Security, 2009, vol.4, No.2, pp.174-182
Faggioni O, Soldani M, Leoncini D, Gabellone A, Maggiani PV
Time Domain Performances Analysis of Underwater Magnetic SIMAN Systems for Port Protection
Journal of Information Assurance and Security, 2009, vol.4, No.6, pp.538-545
Herrero A, Corchado E, Gastaldo P, Zunino R
Neural Projection Techniques for the Visual Inspection of Network Traffic
Neurocomputing, 2009, vol.72, pp.3649-3658
Decherchi S, Gastaldo P, Parodi M, Zunino R
Low-complexity, linear circuit implementation of Support Vector Machines training
Electronics Letters, vol.44, No.25, Dec 4th, 2008
Gastaldo P, Parodi G, Zunino R
Enhanced Montgomery multiplication on DSP architectures for embedded public-key cryptosystems
EURASIP Journal on Embedded Systems, 2008, vol.2008, ID 583926, pp. 9
Gastaldo P, Ridella S, Zunino R
Prospects of Quantum-Classical Optimization for Digital Design
Applied Mathematics and Computation, 2006, vol.179, No.2, pp.581-595
Piombo D, Zunino R
Soft-Max circuit design with adjustable gain
IEE Proc. Circuits Devices and Systems, 2006, vol.153, No.3, pp.231-240
Ridella S, Zunino R
Quantum-computing optimization for K-Winner Machines
Differential Equations and Dynamical Systems, 2005, vol.13, No. 1-2, pp.3-34
Gastaldo P, Zunino R
Neural networks for the no-reference assessment of perceived quality
SPIE Journal on Electronic Imaging, Jul-Sep 2005, vol.14, No.3, pp. 033004/1-11
Gastaldo P, Zunino R, Heynderickx I, Vicario E
Objective quality assessment of displayed images by using neural networks
Signal Processing: Image Communication, 2005, vol.20, pp.643-661
Ridella S, Zunino R
Using K-Winner Machines for domain analysis
Neurocomputing, 2004, vol.62, pp.367-388
Bracco M, Ridella S, Zunino R
Digital implementation of Hierarchical Vector Quantization
IEEE Trans. on Neural Networks, Sept. 2003, vol.14, No.5, pp.1072-1084.
Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
Quantum Optimization for Training Support Vector Machines
Neural Networks, 2003, vol.16, No.5-6, pp.763-770
Anguita D, Ridella S, Rivieccio F, Zunino R
Hyperparameter tuning criteria for Support Vector Classifiers
Neurocomputing, October 2003, No.55, pp.109-134
Gastaldo P, Rovetta S, Zunino R
Objective quality assessment of MPEG-2 video streams by using CBP neural networks
IEEE Trans. on Neural Networks, July 2002, vol.13, No.4, pp. 939-947
Gastaldo P, Zunino R
Hausdorff distance for robust and adaptive template selection in visual target detection
Electronics Letters, vol.38, No.25, Dec 5th, 2002, pp.1651-1653
Gastaldo P, Zunino R, Rovetta S
Objective assessment of MPEG-2 video quality
SPIE Journal of Electronic Imaging, July 2002, vol.11, No.3, pp.365-374
Ridella S, Zunino R
Empirical Measure of Multiclass Generalization Performance: the K-Winner Machine Case
IEEE Trans. on Neural Networks, November 2001, vol.12, No.6, pp. 1525-1529
Ridella S, Rovetta S, Zunino R
K-Winner Machines for pattern classification
IEEE Trans. on Neural Networks, March 2001, vol.12, No.2, pp. 371-385.
Ridella S, Rovetta S, Zunino R
IAVQ: Interval-Arithmetics Vector Quantization for Image Compression
IEEE Trans. on Circuits and Systems II, Dec. 2000, vol.47, No.12, pp.1378-1390.
Rovetta S, Zunino R
Vector quantization for license-plate location and image coding
IEEE Trans. on Industrial Electronics, February 2000, vol.47, No.1, pp.159-167.
Rovetta S, Zunino R
Efficient training of Neural Gas vector quantizers with analog circuit implementation
IEEE Trans. on Circuits and Systems II, June 1999, vol.46, No.6, pp.688-698.
Rovetta S, Zunino R
A multiprocessor-oriented visual tracking system
IEEE Trans. on Industrial Electronics, August 1999, vol.46, No.4, pp. 842-850.
Ridella S, Rovetta S, Zunino R
Circular Backpropagation networks embed Vector Quantization
IEEE Trans. on Neural Networks, July 1999, vol. 10, No. 4, pp. 972-975.
Ridella S, Rovetta S, Zunino R
Representation and generalization properties of class-entropy networks
IEEE Trans. on Neural Networks, January 1999, vol.10, No.1, pp.31-47.
Rovetta S, Zunino R
Minimal-connectivity programmable circuit for analog sorting
IEE Proc. Circuits, Devices and Systems, June 1999, vol. 146, No.3, pp.108-110
Ridella S, Rovetta S, Zunino R
Circuit implementation of the K-Winner Machine
Electronics Letters, vol. 35, No.14, 8th July 1999, pp.1172-1173
Zunino R
Fractal circuit-layout for spatial decorrelation of images
Electronics Letters, Vol.34, No.20, 1st October 1998, pp.1929-1930
Ridella S, Rovetta S, Zunino R
Plastic algorithm for adaptive vector quantization
Neural Computing and Applications, 1998, vol.7, No.1, pp.37-51
Ancona F, Rovetta S, Zunino R
An image-recognition system implemented on hierarchical parallel architectures
Int. Journal of Pattern Recognition and Artificial Intelligence, 1998, vol.12, No.3, pp.293-310
Novaro A, Rovetta S, Rimassa L, Zunino R
An analog vector quantization VLSI circuit
Alta Frequenza, Sept.-Oct. 1998, vol. 10, No.5, pp.54-57
Ridella S, Rovetta S, Zunino R
Circular back-propagation networks for classification
IEEE Trans. on Neural Networks, January 1997, vol.8, No.1, pp. 84-97.
Ancona F, Zunino R
Hypercube structures with high-connectivity supporting nodes
Journal of Systems Architecture, 1997, vol.44, No.9-10, pp.803-814
Ancona F, Rovetta S, Zunino R
Transputer-based implementation of distributed associative memories
Parallel Computing, 1997, vol.23, pp.1479-1491
Ancona F, Colla AM, Rovetta S, Zunino R
Implementing probabilistic neural networks
Neural Computing and Applications, 1997, vol.5, pp. 152-159
Ancona F, Rovetta S, Zunino R
Efficient technique for implementing an image-compression neural algorithm on concurrent-multiprocessor architectures
Int. Journal of Engineering Applications of Artificial Intelligence, 1997, vol.10, No.6, pp.573-580
Parodi GC, Vernazza G, Zunino R
Stability and deadlock avoidance in distributed systems for traffic control
IEEE Trans. on Vehicular Technology, November 1996, vol.VT-45, No.4, pp.732-743.
Ancona F, Oddone G, Rovetta S, Uneddu G, Zunino R
Enhanced WTA network with linear output and stable transimpedance
Alta Frequenza, Sept-Oct.1996, vol.8, No.5, p.71-73
Ancona F, Rovetta S, Zunino R
Devices with optimal performances in tree architectures
Alta Frequenza, Sept-Oct.1996, vol.8, No.5, p.74-76
Ancona F, DeGloria A, Zunino R
Distributed VLSI implementation of fractal cryptography
Alta Frequenza, Nov-Dec 1996, vol.8, No.6, p.38-41
Anguita D, Rovetta S, Zunino R
Compact, digital pseudorandom number generator
Electronics Letters, vol.31, No.12, 8th June 1995, pp.956-957
Ancona F, Anguita D, Rovetta S, Zunino R
Shared-memory architecture to implement a high-connectivity processing node
Electronics Letters, vol.31, No.22, 26 October 1995, pp.1903-1904
Anguita D, Ridella S, Rovetta S, Zunino R
Incorporating a-priori knowledge into neural networks
Electronics Letters, vol.31, No.22, 26 October 1995, pp.1930-1931
Anguita D, Parodi GC, Zunino R
Neural structures for visual motion tracking
Machine Vision and Applications, 1995, N.8, pp.275-288
Ridella S, Rovetta S, Zunino R
Adaptive internal representation in circular back-propagation networks
Neural Computing and Applications, 1995, No.3, pp.222-233
Anguita D, Parodi GC, Zunino R
An efficient implementation of BP on RISC-based workstations
Neurocomputing, 1994, No.6, pp.57-65
Ridella S, Speroni GL, Trebino P, Zunino R
Class-entropy minimization networks for domain analysis and rule extraction
Neural Computing and Applications, 1994, vol.2, No.1, pp. 40-52
Anguita D, Parodi GC, Zunino R
Associative structures for vision
Multidimensional Systems and Signal Processing, 1994, vol.5, pp.75-96
Pagano F, Parodi GC, Zunino R
Parallel implementation of associative memories for image classification
Parallel Computing, 1993, Vol.19, No.6, pp.667-684
Parodi GC, Ridella S, Zunino R
Using chaos to generate keys for associative noise-like coding memories.
Neural Networks, 1993, Vol.6, No.4, pp.559-572
Diaspro A, Parodi GC, Zunino R
A performance analysis of an associative system for image classification
Pattern Recognition Letters, 1993, vol. 14, no.11, pp.861-868
Diaspro A, Zunino R
Cell classification in LM images
Microscopy and Analysis, Sept 1993, No.25, p.11
Diaspro A, Zunino R, Parodi GC
Associative memories for cell classification
Innovation et Technologie en Biologie et Medecine, 1993, Vol.14, N.1, pp.80-86
Parodi GC, Pellerano A, Zunino R
Deadlock-avoidance distribuita nel controllo del traffico ferroviario
Automazione e Strumentazione, 1993, A.XLI, vol.7/8, pp.65-70
Moneta C, Vernazza G, Zunino R
On the need for integrated approaches to image understanding.
European Transactions on Telecommunications, Sept-Oct. 1992, Vol.3, No.5, pp. 41-54
Diaspro A, Parodi GC, Zunino R
Utilization of associative noise-like coding memories to classify biopolymers from optical microscopy images
European Journal of Basic and Applied Histochemistry, No.35/3, 1991, p.279
Diaspro A, Parodi GC, Zunino R
Classification of optically-sectioned images of biopolymers by means of associative noise-like coding memories
Studia Biophysica, 1990, vol. 139, no.2, pp.69-76
Vernazza G, Zunino R
A distributed Intelligence Methodology for Railway Traffic Control
IEEE Trans. on Vehicular Technology, August 1990, Vol. VT-39, No.3, pp.263-270.
Zunino R, Minna L, Pappalardo S, Vernazza G
Un sistema ad intelligenza distribuita per il controllo del traffico su reti estese.
Ingegneria Ferroviaria, n.9, Settembre 1990
Edited Books and Book Chapters (not Conf.Proc.)
Mokalled H, Pragliola C, Debertol D, Meda E, Zunino R
A Comprehensive Framework for the Security Risk Management of Cyber-Physical Systems
In: Flammini F (Ed.), Resilience of Cyber-Physical Systems, Springer (2018), ISBN 978-3-319-95597-1, in press
Bisio F, Meda C, Gastaldo P, Zunino R, Cambria E
Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework
In: Pedrycz W, Chen S-M (Eds.), Sentiment Analysis and Ontology Engineering, Springer (2016), ISBN 978-3-319-30317-8, pp.175-197
Perelli A, Zunino R, Rossi F, Viscusi A
A piezoelectric power supplier for autonomous underwater sensors
In: Williams R (ed.), Energy Harvesting: Technology, Methods And Applications, Nova Publ. NY (2016), ISBN 978-1-63483-951-8, pp.129-146
Bisio F, Meda C, Gastaldo P, Zunino R, Cambria E
Concept-level sentiment analysis with SenticNet
In: Das D, Cambria E, Bandyopadhyay S (eds.) A Practical Guide to Sentiment Analysis, Springer (2016), pp. 173-188
Leoncini A, Sangiacomo F, Gastaldo P, Zunino R
A semantic-based framework for summarization and page segmentation in web mining
In Shigeaki Sakurai (Ed.), Theory and Applications for Advanced Text Mining, InTech Publishing, ISBN 980-953-307-228-4, 2012, InTech Publishing, pp.75-100
Herrero A, Gastaldo P, Zunino R, Corchado E (Eds.)
Proceedings Int. Workshop on Computational Intelligence for Security in Information Systems (CISIS'09)
Springer Verlag, Advances in Soft Computing No.63, 2009
Gastaldo P, Decherchi S, Zunino R
K-means clustering for content-based document management in intelligence
In Agusti Solanas and Antoni Martinez (Eds.), Advances in Artificial Intelligence for Privacy, Protection, and Security, 2009, World Scientific, pp. 287-324
Corchado E, Zunino R, Gastaldo P, Herrero A (Eds.)
Proceedings Int. Workshop on Computational Intelligence for Security in Information Systems (CISIS'08)
Springer Verlag, Advances in Soft Computing No.53, 2008
Epifani M, Meda C, Picasso F, Sangiacomo F, Zunino R
Windows 8 Forensic
In Costabile G, Attanasio A, Ianulardo M (Eds.), IISFA Memberbook 2013, DIGITAL FORENSIC, IN Magazine Publ., ISBN 9788895694382, 2013, pp.89-111
Conference Papers
Chehade A, Ragusa E, Gastaldo P, Zunino R
Tiny Neural Networks for Session-Level Traffic Classification
Appl. in Electronics Pervading Industry, Env. and Society Conf., APPLEPIES 2024
Ragusa E, Zunino R, Loconsole C, Frisoli A, Gastaldo P
TEnhanced HW-NAS for affordance segmentation on wearable robotics
31st IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2024
Mastronardi V, Pedone D, Moglianetti M, Ragusa E, Pompa PP, Zunino R, Gastaldo P
Random weights neural network for low-cost readout of colorimetric reactions: accurate detection of antioxidant levels
6th Int.Conf. on System-integrated Intelligence, SYSINT 2022, Springer LNNS 546, pp. 95–104
Canepa A, Ragusa E, Gianoglio C, Gastaldo P, Zunino R
A pose-based hand image classification method retrainable on embedded target devices
28th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2021
Gianoglio C, Ragusa E, Zunino R, Valle M
1-D Convolutional Neural Networks for Touch Modalities Classification
28th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2021
Ragusa E, Gianoglio C, Zunino R, Gastaldo P
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication
IEEE Int.Conf. on Artificial Intelligence Circuits and Systems (AICAS), 2021
Ragusa E, Gianoglio C, Zunino R, Gastaldo P
Ultra constrained neural networks: training and deployment
Conference of Società Italiana Elettronica, 2021, SIE 2021, pp.1-2
Ragusa E, Gastaldo P, Gianoglio C, Zunino R
A hardware-aware image polarity detector enhanced with visual attention
International Joint Conference on Neural Networks (IJCNN), 2020
Ragusa E, Gastaldo P, Gianoglio C, Zunino R
Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization
2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, Genova, 2020
Ragusa E, Gastaldo P, Zunino R
Fast Transfer Learning for Image Polarity Detection
INNS Big Data and Deep Learning Conference 2019, Sestri Levante, April 2019, pp.27-37
Ragusa E, Gastaldo P, Zunino R
Data-Driven Video Grasping Classification for Low-Power Embedded System
26th IEEE International Conference on Electronics, Circuits and Systems - ICECS 2019
Ragusa E, Gastaldo P, Zunino R
A Computationally Light Pruning Strategy for Single Layer Neural Networks Based on Threshold Function
26th IEEE International Conference on Electronics, Circuits and Systems - ICECS 2019
Mokalled H, Catelli R, Casola V, Debertol D, Meda E, Zunino R
The Applicability of a SIEM Solution: Requirements and Evaluation
28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2019, pp. 132-137
Ragusa E, Gastaldo P, Zunino R, Cambria E
Balancing Computational Complexity and Generalization Ability: a Novel Design for ELM
9th Int.Conf. Extreme Learning Machines ELM2018 - 2018
Meda C., Ragusa E., Gianoglio C., Zunino R., Ottaviano A., Scillia E. & Surlinelli R
Spam Detection of Twitter Traffic: A Framework based on Random Forests and nonuniform feature sampling
Proc. of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (FOSINT2016) - San Francisco, CA
Bisio F, Gastaldo P, Zunino R, Gianoglio C, Ragusa E
Learning with Similarity Functions: a Novel Design for the Extreme Learning Machine
Proc. of 6th Int.Conf. Extreme Learning Machines (ELM2015) - Hangzhou, Dec 2015, pp. 265-277
Bisio F, Meda C, Zunino R, Surlinelli R, Scillia E, Ottaviano A
Real-time monitoring of Twitter traffic by using semantic networks
Int.Symp.on Foundations of Open Source Intelligence and Security Informatics - FOSINT-SI 2015, Paris, pp.966-969
Bisio F, Gastaldo P, Zunino R, Cambria E
A learning scheme based on similarity functions for affective common-sense reasoning
IEEE Int.Joint Conf.Neur.Netw. IJCNN 2015, Killerney 2015, pp. 2476-2481
Caviglia S, Gastaldo P, Zunino R, Caviglia DD
A High-Linearity Design for Rail-to-Rail Fully Differential Current Conveyors
21st IEEE Int.Conf. Electr. Circ. Sys., Marseille 2014, pp.550-553
Meda C, Bisio F, Gastaldo P, Zunino R
Machine Learning Techniques applied to Twitter Spammers Detection
3rd Int.Conf. on Circuits, Systems, Comm., Computers and App., Florence 2014, pp.177-182
Meda C, Bisio F, Gastaldo P, Zunino R, Surlinelli R, Scillia E, Ottaviano AV
Content-Adaptive Analysis and Filtering of Microblogs Traffic for Event-Monitoring Applications
Proc.18th Asia Pacific Symposium on Intell. and Evolutionary Sys., Nov 2014, vol. 1, pp. 155-170
Bisio F, Decherchi S, Gastaldo P, Zunino R
Inductive Bias for Semi-Supervised Extreme Learning Machine
Int. Symp. Extreme Learning Machines - ELM 2014, Singapore, 2014, pp.61-70.
Meda C, Bisio F, Gastaldo P, Zunino R
A Machine Learning Approach for Twitter Spammers Detection
48th IEEE Int. Carnahan Conf. Security Technology, ICCST 2014, Rome, 2014, pp. 364-369
Bisio F, Gastaldo P, Zunino R, Decherchi S
Semi-supervised machine learning approach for unknown malicious software detection
IEEE Int.Symp. Innovations in Intell. Sys. and App. (INISTA 2014), 2014, pp. 52-59
Peretti C, Gastaldo P, Stramezzi M, Zunino R
Embedded implementation of Edwards curve- and extended Jacobi quartic curve-based cryptosystems
8th Int. Conf. Internet Technology and Secured Transactions (ICITST-2013), pp. 399-405
Zunino R, Bisio F, Peretti C, Sangiacomo F, Surlinelli R, Scillia E, Ottaviano A
An Analyst-Adaptive Approach to Focused Crawlers
Int.Symp. Foundations of Open Source Intelligence and Security Informatics - FOSINT-SI 2013, pp. 1073-1077
Bisio F, Cambria E, Gastaldo P, Peretti C, Zunino R
Data Intensive Review Mining for Sentiment Classification across Heterogeneous Domains
Int.Symp. Foundations of Open Source Intelligence and Security Informatics - FOSINT-SI 2013, pp. 1061-1067
Perelli A, Leoncini DA, Sandroni G, Soldani M, Faggioni O, Zunino R
Design and performance analysis of the mechanical structure of a piezoelectric generator by von karman vortexes for underwater energy harvesting
OCEANS'13 MTS/IEEE Conference, Bergen, Feb 2013, in press
Faggioni O, Soldani M, LeonciniD, Crise A, Michelizza E, Nasta S, Zunino R
A New EMAG Metrological Approach for Submarine Detection: Fundamentals of the Numerical Protocols and Preliminary Field Performance
Undersea Defense Technology Conference UDT Europe 2012, IFA Spain, May 2012
Decherchi S, Gastaldo P, Redi J, Zunino R, Cambria E
Circular-ELM for the Reduced-Reference Assessment of Perceived Image Quality
Int. Symp. Extreme Learning Machines - ELM 2011, Hangzhou, China, Sept 2011
Leoncini A, Sangiacomo F, Argentesi S, Zunino R, Cambria E
Semantic Models for Style-based Text Clustering
IEEE Int. Conf .Semantic Computing ICSC 2011, Stanford, Sept 2011, pp.75-82
Decherchi S, Leoncini D, Gastaldo P, Zunino R, Faggioni O, Soldani M
Computational Intelligence Methods for Underwater Magnetic-based Protection Systems
Int. Joint Conf. Neural Networks IJCNN 2011, San Jose, USA, July 2011, pp. 238-245
Leoncini A, Sangiacomo F, Decherchi S, Zunino R
Semantic Oriented Clustering of Documents
Int. Symp. Neural Networks ISNN 2011, Guilin, China, May 2011, Part III, Springer LNCS 6677, pp. 523529
Redi J, Liu H, Zunino R, Heynderickx I
Interactions of visual attention and quality perception
SPIE Conf. on Human Vision and Electronic Imaging XVI; San Francisco, 2011, vol.7865
Sangiacomo F, Leoncini A, Decherchi S, Gastaldo P, Zunino R
SeaLab Advanced Information Retrieval
IEEE Int. Conf .Semantic Computing ICSC 2010, Pittsburgh, Sept 2010, pp.444-445
Buschiazzo P, Leoncini D, Zunino R, Scapolla AM
A Web-Based Laboratory for Digital Signal Processing
7th International Conference on Remote Engineering and Virtual Instrumentation, 2010
Petracca G, Leoncini A, Sangiacomo F, Zunino R
Hausdorff distance for template detection and efficient implementation on embedded systems
Int. Symp. Industrial Electronics ISIE 2010, Bari, pp.1623-1626
Liu H, Redi J, Zunino R, Heynderickx I
No-Reference Image Quality Assessment Based on Localized Gradient Statistics: Application to JPEG and JPEG2000
SPIE Int.Conf. Human Vision and Electronic Imaging XV, SanJose USA, Jan 2010, SPIE vol.7527, 75271F
Redi J, Liu H, Heynderickx I, Zunino R
Comparing subjective image quality measurement methods for the creation of public databases
SPIE Int. Conf. Image Quality and System Performance VII, San Jose USA, Jan 2010, SPIE vol. 7529, 752903
Decherchi S, Leoncini A, Sangiacomo F, Tacconi S, Zunino R
Text Clustering for Digital Forensics Analysis
Int.Workshop Comput.Intell.Security Info.Systems CISIS09, Burgos, Springer Adv.Soft Comp., 2009, pp.29-36
Decherchi S, Faggioni O, Gastaldo P, Leoncini D, Soldani M, Zunino R
A Preliminary Study on SVM based Analysis of Underwater Magnetic Signals for Port Protection
Int.Workshop Comput.Intell.Security Info.Systems CISIS09, Burgos, Springer Adv.Soft Comp., 2009, pp.37-44
Redi J, Liu H, Gastaldo P, Zunino R, Heynderickx I
How to apply spatial saliency into objective metrics for jpeg compressed images?
Int. Conf. Image Processing ICIP09, Cairo, 2009, pp.961-964
Faggioni O, Soldani M, Di Gennaro E, Lamberti LO, Leoncini D, Maggiani PV, Zunino R
Harbour seafloor clearance: the HD high definition magnetic survey performance
Marine Systems and Technology Conf. MAST 2009 Stockholm, Oct. 2009
Redi J, Gastaldo P, Zunino R
Hybrid neural systems for reduced-reference image quality assessment
Int.Conf. Artif.Neural Networks ICANN09 Cyprus, Sept. 2009, vol.2, pp.684-693
Decherchi S, Redi J, Gastaldo P, Zunino R
Maximal-Discrepancy bounds for margin-maximizing classifiers
Int. Joint Conf. on Neural Networks, IJCNN09 Atlanta 2009, pp.652-656
Decherchi S, Gastaldo P, Parodi M, Zunino R
Hardware implementation of SVM training
Int. Joint Conf. on Neural Networks, IJCNN09 Atlanta 2009, pp.646-651
Faggioni O, Soldani M, Zunino R, Leoncini D, Di Gennaro E, Gabellone A, Maggiani PV, Falcucci V, Michelizza E
Building the Syntethic 'Mac System': An Analytical Integration of Magnetic and Acoustic Subsystems for Port Protection Scenarios
Undersea Defense Technology Conference UDT Europe 2009, Cannes, pp. 1-16
Redi J, Gastaldo P, Zunino R, Heynderickx I
Reduced-reference assessment of perceived quality by exploiting color information
IEEE Int. Workshop Video Processing and Quality Metrics - VPQM09, Scottsdale AZ, Jan 2009
Faggioni O, Soldani M, Gabellone A, Maggiani P, Leoncini D
Development of Anti Intruders Underwater Systems: Time Domain Evaluation of the Self-Informed Magnetic Networks Performance
Int.Workshop Comput.Intell.Security Info.Systems CISIS08, Genoa, Springer Adv. in Soft Computing #53, pp. 100-107
Decherchi S, Gastaldo P, Redi J, Zunino R
Hypermetric k-Means Clustering for Content-based Document Management
Int.Workshop Comput.Intell.Security Info.Systems CISIS08, Genoa, Springer Adv. in Soft Computing #53, pp. 61-68
Decherchi S, Gastaldo P, Ridella S, Zunino R
Explicit overall risk minimization transductive bound
Int.Conf. on Nonlinear Problems in Aviation and Aerospace ICNPAA 2008, Genoa, in press
Decherchi S, Gastaldo P, Redi J, Zunino R
Non-stationary Data Mining: the Network Security Issue
Int.Conference on Artif. Neur. Networks ICANN08, Prague - Springer LNCS 5163, vol.II, pp. 32-41
Redi J, Gastaldo P, Zunino R, Heynderickx I
Co-occurrence matrixes for the quality assessment of coded images
Int.Conference on Artif. Neur. Networks ICANN08, Prague - Springer LNCS 5163, vol.I, pp. 897-906
Herrero A, Corchado E, Gastaldo P, Leoncini D, Picasso F, Zunino R
Unsupervised Connectionists Models for Intrusion Detection Systems
8th Int.Conf. Intelligent Data Engineering and Automated Learning - IDEAL'07, Birmingham, Springer LNCS 4881, pp.718-727
Gastaldo P, Picasso F, Zunino R, Herrero A, Corchado E, Sáiz JM
IDS Based on Bio-Inspired Models
11th Int. Conf. Knowledge-Based & Intelligent Information & Engineering Systems - KES2007, Springer, Lecture Notes in Artif.Intell. #4693, pp. 133-140
Gastaldo P, Parodi G, Redi J, Zunino R
No-reference quality assessment of JPEG images by using CBP neural networks
Int. Conf. Artif. Neural Networks - ICANN 2007, Oporto, Springer, Lecture Notes in Computer Science #4669, Part II, Springer, pp.564-572
Herrero A, Corchado E, Gastaldo P, Zunino R
A comparison of neural projection techniques applied to Intrusion Detection Systems
Int. Workshop Artif. Neural Networks IWANN 2007
Gastaldo P, Parodi, Decherchi S, Zunino R
Efficient implementation of SVM training on embedded electronic systems
Int.Workshop Fuzzy Logic and Applications WILF 2007 Portofino
Gastaldo P, Parodi G, Picasso F, Zunino R
Embedded public-key cryptosystems via enhanced Montgomery multiplication
IEEE Int.Symp. Industrial Electronics ISIE 2007, Vigo, Spain, pp.1820-1825
Redi J, Gastaldo P, Parodi G, Zunino R
Co-occurrence matrixes for the quality assessment of coded images
IEEE Int.Symp. Industrial Electronics ISIE 2007, Vigo, Spain, pp. 1584-1589
Corchado E, Herrero A, Gastaldo P, Picasso F, Zunino R
Auto-Associative Neural Techniques for Intrusion Detection Systems
IEEE Int.Symp. Industrial Electronics ISIE 2007, Vigo, Spain, pp. 1905-1910
DeCherchi S, Parodi G, Gastaldo P, Zunino R
Embedded Electronics Systems for Training Support Vector Machines
Int. Joint Conf. Neural Networks, IJCNN2006, Vancouver, pp. 5145-5151
Piombo D, Zunino R
Analog Soft-Max circuit with dynamic gain control
IEEE Workshop - PhD Research in Microelectronics - PRIME 2005, Lausanne
Gastaldo P, Parodi G, Zunino R
DSP-Based Neural Systems for the Perceptual Assessment of Visual Quality
Int. Joint Conf. Neural Networks, IJCNN2005, Montreal, pp. 663-668
Piombo D, Zunino R&
Analog Current-Mode Design for Soft-Max Computation
Int. Joint Conf. Neural Networks, IJCNN2005, Montreal, pp. 669-674
Gastaldo P. Zunino R, Muijs R, Heynderickx I
Building neural systems for no-reference quality assessment
1st Int. Workshop Quality Metrics and Video Processing, Scottsdale USA, 2005
Gastaldo P, Ridella S, Zunino R
Vector Quantization Complexity and Quantum Computing
Int. Joint Conf. Neural Networks IJCNN 2004, Budapest, vol.4, pp.3257-3262
Anguita D, Ridella S, Rivieccio F, Zunino R
Unsupervised clustering and the capacity of Support Vector Machines
Int. Joint Conf. Neural Networks IJCNN 2004, Budapest, vol.3, pp.2023-2028
Anguita D, Ridella S, Rivieccio F, Zunino R
Model Selection in Top Quark Tagging with a Support Vector Classifier
Int. Joint Conf. Neural Networks IJCNN 2004, Budapest, vol.3, pp.2059-2064
Gastaldo P, Zunino R
No-reference quality assessment of IPEG images by using cbp neural networks
Int.Symp. Circuits and Systems ISCAS 2004 - Vancouver, vol.V, pp.772-775
Anguita D, Ridella S, Rivieccio F, Zunino R
Training Support Vector Machines: a Quantum-Computing perspective
Int. Joint Conf. Artif. Neural Networks IJCNN 2003, Portland USA, pp. 1587-1592
Paolo Gastaldo, Rodolfo Zunino, Elena Vicario, Ingrid Heynderickx
CBP Neural network for objective assessment of image quality
Int. Joint Conf. Artif. Neural Networks IJCNN 2003, Portland USA, pp. 194-199
Bracco M, Ridella S, Zunino R
A model-selection approach to the VLSI design of vector quantizers
Int. Joint Conf. Artif. Neural Networks IJCNN 2003, Portland USA, pp. 959-964
Ingrid Heynderickx, Elena Vicario, Paolo Gastaldo, Rodolfo Zunino
Neural-network based system for assessing image quality
Int. Symposium on Society for Info.Display SID 2003, Baltimore USA, pp.274-277
Anguita D, Ridella S, Rivieccio F, Zunino R
Automatic hyperparameter tuning for Support Vector Machines
Int. Conf. Artif. Neural Networks ICANN 2002, Madrid, pp.1345-1350
Gastaldo P, Zunino R, Heynderickx I, Vicario E
Circular Back-Propagation Networks for Measuring Displayed Image Quality
Int. Conf. Artificial Neural Networks ICANN 2002, Madrid, pp.1219-1224
Gastaldo P, Zunino R
Hausdorff distance for target detection
IEEE Int.Symp.Circuits and Systems ISCAS 2002, Scottsdale AZ, vol.V, pp. 661-664
Zunino R, Gastaldo P
Hardware implementation of the Soft-Max function
IEEE Int.Symp.Circuits and Systems ISCAS 2002, Scottsdale AZ, vol. II, pp.117-120
Carrai P, Gastaldo P, Heynderickxx I, Zunino R,
Image quality assessment by using neural networks
IEEE Int.Symp.Circuits and Systems ISCAS 2002, Scottsdale AZ, vol.V, pp.253-256
Ridella S, Zunino R
Performance characterization of K-Winner Machines
IJCNN 2001 - IEEE Int.Conf. Neural Networks - Washington, 2001, pp. 1227-1232
Gastaldo P, Zunino R
Objective assessment of MPEG-video quality: a neural-network approach
IJCNN 2001 - IEEE Int.Conf. Neural Networks - Washington, 2001, pp. 1432-1437
Gastaldo P, Rovetta S, Zunino R
Objective video quality assessment: a neural network approach
Int. Conf. on MediaFutures - Firenze 2001 - pp.83-86
Ridella S, Rovetta S, Zunino R
The K-Winner Machine Model
Int. Joint Conf. Neural Netw. IJCNN2000 - Como 2000, vol.I, pp.106-111
Ridella S, Rovetta S, Zunino R
Augmenting Vector Quantization with Interval Arithmetics for image-coding applications
IEEE Symp. Circuits and Sys. ISCAS2000 - Geneve 2000, CDROM ed., ISBN 0-7803-5485-0
Rovetta S, Zunino R
License-plate localization by using Vector Quantization
IEEE Int.Conf. on Acou.,Speech, Sig.Proc.ICASSP'99, Phoenix USA, 1999, vol.II, pp.1113-1116
Rovetta S, Zunino R
Flexible video compression systems using an analog vector quantization chip
IEEE Int.Conf. on Acou.,Speech, Sig.Proc.ICASSP'99, Phoenix USA, 1999, vol.IV, pp.1941-1944
Rovetta S, Zunino R
Analog Vector Quantization chip for flexible video compression systems
IEEE Int.Symp. Circuits and Sys. ISCAS'99, Orlando USA, 1999, vol. IV, pp. 367-370
Rovetta S, Zunino R
Visual location of license plates by vector quantization
IEEE Int.Symp. Circuits and Sys. ISCAS'99, Orlando USA, 1999, vol. IV, pp. 135-138
Rovetta S, Zunino R
VLSI circuits with fractal layout for spatial image decorrelation
IEEE Int.Symp. Circuits and Sys. ISCAS'99, Orlando USA, 1999, vol.IV, pp. 110-113
Ancona F, Rovetta S, Zunino R
Neural hardware for image processing
40th Midwest Symp. on Circ. and Sys. MWSCAS'97- 1997- Sacramento USA - vol.2 pp.1342-1345
Ancona F, Rovetta S, Zunino R
An encoder for vector quantization neural networks
40th Midwest Symp. on Circ. and Sys. MWSCAS'97- 1997- Sacramento USA - vol.2 pp.1286-1289
Ancona F, Rovetta S, Zunino R
VLSI circuit for programmable sorting
40th Midwest Symp. on Circ. and Sys. MWSCAS'97- 1997- Sacramento USA - vol.2 pp.1061-1064
Ancona F, Rovetta S, Zunino R
High Performance in Tree-based Parallel Architectures
6th Euromicro Workshop on Par. and Distr. Proc., Budapest, 1997, pp. 474-481
Ancona F, Zunino R
Optimal Data Allocation for Processor-Tree Architectures
6th Euromicro Workshop on Par. and Distr. Proc., Budapest, 1997, pp.351-358
Ancona F, Zunino R
Concurrent VLSI architectures for vector quantization
IEEE Symp. Circuits and Sys. ISCAS'97 - Hong Kong - 1997, vol.III, pp.2076-2079
Oddone G, Rovetta S, Uneddu S, Zunino R
Mixed analog-digital circuit for linear-time programmable sorting
IEEE Symp. Circuits and Sys. ISCAS'97 - Hong Kong - 1997, vol.III, pp.1968-1971
Bozzo R, Sciutto L, Zunino R
BP Network for partial discharge analysis and dielectrics classification
IEEE Int.Conf.Neur.Net. ICNN'97 - Houston - June 1997, vol.I, pp.37-42
Ridella S, Rovetta S, Zunino R
CBP networks as a generalized neural model
IEEE Int.Conf.Neur.Net. ICNN'97 - Houston - June 1997, vol.I, pp.210-214
Ancona F, Rovetta S, Zunino R
Hardware implementation of the Neural Gas
IEEE Int.Conf.Neur.Net. ICNN'97 - Houston - June 1997, vol.II, pp.991-994
Ancona F, Rovetta S, Zunino R
Parallel architectures for vector quantization
IEEE Int.Conf.Neur.Net. ICNN'97 - Houston - June 1997, vol.II, pp.899-903
Ancona F, Ridella S, Rovetta S, Zunino R
On the role of sorting in "Neural Gas" for training vector quantizers
IEEE Int.Conf.Neur.Net. ICNN'97 - Houston - June 1997, vol.III, pp.1804-1808
Ancona F, DeGloria A, Zunino R
Parallel VLSI architectures for cryptographic systems
7th IEEE Great Lakes Symp.on VLSI - Urbana IL - March 1997, pp.176-181
Ancona F, Oddone G, Rovetta S, Uneddu S, Zunino R
VLSI architectures for programmable sorting of analog quantities with multiple-chip support
7th IEEE Great Lakes Symp.on VLSI - Urbana IL - March 1997, pp.94-99
Ancona F, Rovetta S, Zunino R
Hardware architectures for Vector Quantization in very low bit-rate image coding
Int. Workshop on HDTV HDTV'96 - Los Angeles - October 1996
Ancona F, Rovetta S, Zunino R
Analog implementation of vector quantization
Int. Workshop on HDTV HDTV'96 - Los Angeles - October 1996
Ancona F, Rovetta S, Zunino R
MULTIBEST: multiple vector interpolation for vector-quantization based image compression
Int. Workshop on HDTV HDTV'96 - Los Angeles - October 1996
Ancona F, Oddone G, Rovetta S, Uneddu G, Zunino R
A vector quantization circuit for trainable neural networks
3rd Int.Conf. Electr.Circuits and Systems ICECS'96 - Rodos - October 1996, vol.2, pp.1131-1134
Oddone G, Rovetta S, Uneddu G, Zunino R
WTA circuit with proportional output
World Congr. Neural Networks WCNN'96 - SanDiego USA - September 1996, pp.1376-1379
Ancona F, Rovetta S, Zunino R
Reformulating Distributed Associative Memories for image classification
World Congr. Neural Networks WCNN'96 - SanDiego USA - September 1996, pp.768-771
Ancona F, Rovetta S, Zunino R
Implementing neural gas networks on distributed networks
World Congr. Neural Networks WCNN'96 - SanDiego USA - September 1996, pp.642-645
Piazza F, Smerilli S, Uncini A, Griffo M, Zunino R
Fast spline neural networks for image compression
WIRN'96 8th Italian Workshop on Neur.Net. - Vietri sul mare - June 1996, pp.223-230
Carrato S, Passaggio F, Rovetta S, Zunino R
Interpolation approaches to Vector Quantization for image compression
IEEE Workshop Neur.Net. in Signal Proc. NNSP'96 - Kyoto Japan - September 1996, pp.391-400
Boni A, Dolce S, Rovetta S, Zunino R
A neural networks based visual tracking system
Int. Wk. N.Net. Ident., Ctrl., Rob., Sig./Im.Proc. NICROSP'96 - Venezia - August 1996, pp.128-135
Ancona F, Parodi GC, Zunino R
Sensor integration in associative visual structures
European Signal Proc. Conf . EUSIPCO'96 - Trieste Italy - 1996, vol.III, pp.1519-1522
Ancona F, Parodi GC, Zunino R
Building hypercubes with transputer-based complex nodes
2nd Int. Conf. Massively Parallel Comp. MPCS'96 - Ischia Italy - 1996, pp.519-525
Ancona F, Rovetta S, Zunino R
A parallel approach to plastic neural gas
IEEE Int.Conf. Neural Networks ICNN'96 - Washington USA - June 1996 - pp.126-130
Anguita F, Ridella S, Rovetta S, Zunino R
Limiting the effects of weight errors in feed forward networks using interval arithmetics
IEEE Int.Conf. Neural Networks ICNN'96 - Washington USA - June 1996 - pp.414-417
Ridella S, Rovetta S, Zunino R
Generalization-based approach to plastic vector quantization
World Congress on Neural Networks WCNN'95, Washington, July 1995, vol. I, pp.505-508
Ridella S, Rovetta S, Zunino R
Representation plasticity in classifier networks with circular activation units
World Congress on Neural Networks WCNN'95, Washington, July 1995, vol. I, pp.714-717
Anguita D, Passaggio F, Zunino R
SOM-based interpolation to image compression
World Congress on Neural Networks WCNN'95, Washington, July 1995, vol. I, pp.739-742
Cappelli M, Zunino R
DLVQ: dynamic model for learning vector quantization
World Congress on Neural Networks WCNN'95, Washington, July 1995, vol. I, pp.652-655
Garramone S, Pettinella M, Rebora A, Zunino R
Parallel implementation of distributed associative memories for image classification
World Congress on Neural Networks WCNN'95, Washington, July 1995, vol. I, pp.454-457
Colla AM, Trogu L, Zunino R
Digital neuroimplementations of visual motion-tracking systems
IEEE Workshop on Neur.Net. in Signal Proc. NNSP95, Cambridge MA, Sept 1995, pp.571-580
Ridella S, Rovetta S, Zunino R
Adaptive representation properties of the circular back-propagation model
WIRN'95 7th Italian Workshop on Neural Nets, Vietri, June 1995, pp.130-135
Colla AM, Trogu L, Zunino R
Hardware implementation of neural systems for visual target tracking
WIRN'95 7th Italian Workshop on Neural Nets, Vietri, June 1995, pp.189-194
Buffrini L, Rovetta G, Rovetta S, Zunino R
Prototyping neural networks learn Lyme borreliosis
Eight IEEE Symp. Computer-based Medical Sys. CBMS'95, Lubbock TX, June 1995, pp.111-117
Rovetta G, Monteforte P, Bianchi G, Rovetta S, Zunino R
Validation of a large medical database
Eight IEEE Symp. Computer-based Medical Sys. CBMS'95, Lubbock TX, June 1995, pp.57-64
Ridella S, Rovetta S, Zunino R
Learning the appropriate representation paradigm by circular processing units
Eur.Symp. on Artif. Neural Networks ESANN'95, Brussels B, April 1995, pp. 297-302
Parodi GC, Zunino R, Scapolla AM
Distributed approaches to traffic control: scheduling, stability and routing
World Congress on Railway Research WCRR'94, Paris, November 1994, vol.2, pp.1099-1101
Lauro G, Zini A, Zunino R
Neural networks: a modern technology to solve marine problems
NAV'94 Int.Conf. on Ship and Marine Research, Roma, Ottobre 1994, vol.2
Parodi GC, Saglietto A, Zunino R
Stability Analysis of Distributed Railway-Traffic Control
4th Int.Conf. on COMPRAIL'94, Madrid, September 94, vol.2, pp.35-42
Passaggio F, Zunino R, Anguita D
Human Visual System neural approach to image compression,
World Congress on Neural Networks WCNN'94, SanDiego CA, June 1994, vol.I, pp.642-648
Anguita D, Passaggio F, Zunino R
Visual motion tracking: a neural approach
World Congress on Neural Networks WCNN'94, SanDiego CA, June 1994, vol.IV, pp.321-326
Bianchi G, Buffrini L, Monteforte P, Rovetta G, Rovetta S, Zunino R
Neural approaches to the diagnosis and characterization of the Lyme disease,
7th IEEE Symp. Computer-based Medical Sys. CMBS'94, Winston-Salem, June 1994, pp.194-199
Passaggio F, Zunino R, Anguita D
Human Visual System for Image Compression by BP
Inter.Conf. on Artificial Neural Networks ICANN'94, Sorrento, Vol.2, pp.1121-1124
Anguita D, Pampolini M, Parodi GC, Zunino R
YPROP: yet another acceleration technique for the back propagation
Intern.Conf. on Artificial Neural Networks ICANN'93, Amsterdam, September 1993, p.500
D'Agnese L, Ferro A, Parodi GC, Zunino R
Neural architectures for motion tracking
Intern.Conf. on Artificial Neural Networks ICANN'93, Amsterdam, September 1993, p.939
Adamo A, Parodi GC, Vernazzano S, Zunino R
Scale invariance of integrated visual associative structures
World Conf. on Neural Networks WCNN'93, Portland OR, July 1993, pp.III 749 - III 752
Anguita D, Parodi GC, Zunino R
Speed improvement of the Back-propagation on current-generation workstations
World Conf. on Neural Networks WCNN'93, Portland OR, July 1993, pp. I 165 - I 168
Ridella S, Speroni GL, Trebino P, Zunino R
Pruning and rule extraction using class entropy
IEEE Int.Conf.on Neural Networks, San Francisco CA, Mar 1993, Vol.I, pp.250-256
Diaspro A, Zunino R, Parodi GC
Associative noise-like coding memories for classification of biopolymers structures
Int. Conf. of the IEEE Eng. in Med. and Biol. Soc., Paris France, Oct 1992, IEEE Press, 1860-1861
Moneta C, Zunino R
A Symbolic-Neural classification System assisting the characterization of the Lyme-disease.
IEEE Int. Conf. on Systems, Man and Cybern., Chicago IL, Oct 1992, IEEE Press, pp.136-139
Moneta C, Parodi GC, Rovetta S, Zunino R
Automated diagnosis and disease characterization using neural network analysis.
IEEE Int. Conf. on Systems, Man and Cybern., Chicago IL, Oct 1992, IEEE Press, pp.123-128
Anguita D, Parodi GC, Ponta D, Zunino R
Transputers and associative memories in robust image classification.
Parallel Computing and Transputer applications - PACTA'92, Barcelona, Sep. 1992, Vol.II, pp.935-944
Cerrato A, Parodi GC, Zunino R
An integrated associative structure for vision.
Int.Joint Conf. on Neural Networks IJCNN'92, Baltimore MA, June 1992, pp.III-291 III-296
Parodi GC, Ridella S, Zunino R
Distributed key-generation structures for associative image-classification.
IEEE Int. Symp. on Circuits and Systems ISCAS'92, San Diego CA, May 1992, IEEE Press, pp.1549-1552
Anguita D, Parodi GC, Ponta D, Zunino R
Transputer-based architectures for associative image classification.
3rd IEEE Symp. on Parallel and Distrib. Proc. SPDP'91, Dallas TX, Dec 1991, IEEE Press, pp.241-248
Regazzoni C, Murino V, Zunino R, Foresti G
Associative and Symbolic Algorithms for Viewpoint-independent Object Recognition.
IEEE Int. Conf. on Systems, Man and Cybern., Charlottesville VA, Oct 1991, IEEE Press, pp.117-122
Murino V, Regazzoni C, Vernazza G, Zunino R
Mellin-based classification: a performance analysis
Int.Conf. on Digital Signal Proc., Firenze, Sept 1991, pp.462-467
Parodi GC, Regazzoni C, Vernazza G, Zunino R
Speeding up scene recognition by using an associative noise-like coding memory.
IEEE Phoenix Int.Conf.on Computers and Communications IPCCC'91, Phoenix AZ, Mar 1991, IEEE Press, pp. 10-16
Foresti GL, Murino V, Regazzoni C, Zunino R
Map-driven image interpretation by associative model indexing.
IAPR Intern.Workshop on Machine Vision Appl., Tokyo, Nov 1990, pp.385-389
Parodi GC, Zunino R
Noise insensitivity of an associative image classification system
IEEE Int. Workshop on Robust Comp.Vision, Seattle WA, IEEE Press, Oct 1990
Parodi GC, Zunino R
Image classification by using associative noise-like coding memories
IEEE Phoenix Int.Conf.on Computers and Communications IPCCC'90, Phoenix AZ, Mar 1990, IEEE Press, pp. 73-77
Merialdo P, Pecollo PC, Regazzoni C, Vernazza G, Zunino R
Integration of territorial maps in the vision system of an autonomous land vehicle.
Intern.Conf. on Intelligent Autonomous Systems II, Amsterdam, Dec 1989, pp.694-704
Neural networks for quality assessment of multimedia signals.
Atti Fondaz. G.Ronchi, Anno LIX, 2004, No.1-2, pp.107-111
Pellerano A, Parodi GC, Zunino R
Tecniche avanzate di controllo distribuito del traffico ferroviario su reti estese.
Sviluppo e Prospettive dei trasporti elettrificati: ricerca ed innovazione - Genova - Nov. 1992
Anguita D, Pagano F, Parodi GC, Zunino R
A new transputer-based architecture for massive parallel computing systems.
Convegno ANIPLA'92, Genova, Nov.1992, pp.64-73
Parodi GC, Pellerano A, Zunino R
Deadlock-avoidance distribuita nel controllo del traffico ferroviario
Convegno ANIPLA'92, Genova, Nov.1992, pp.449-460
Zunino R, Minna L, Pappalardo S, Vernazza G
A distributed-intelligence system for railway traffic control in large areas.
Convegno ANIPLA'90, Trieste Oct 1990, pp.157-169.
Parodi GC, Zunino R
Modellistica noise-like coding di memoria associativa: applicazione ad operazioni di riconoscimento.
Congresso AICA, Trieste, Oct 1989, pp.125-135.
Book Chapters (Proceedings)
Ragusa E, Pastorino Ghezzi M, Zunino R, Gastaldo P
Affordance segmentation using RGB-D sensors for application in portable embedded systems
Lecture Notes in Electrical Engineering, 2023, 1036 LNEE, pp. 109-116
Ragusa E, Mastronardi V, Pedone D, Zunino R, Gastaldo P
Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels
Lecture Notes in Networks and Systems, 2023, 546 LNNS, pp. 95–104
Chen, Q, Ragusa E, Chaturvedi I, Cambria E, Zunino R
Text-Image Sentiment Analysis
Lecture Notes in Computer Science, 2023, 13397 LNCS, pp. 169–180
Ancona F, Rovetta S, Zunino R
Implementation of Neural Gas training in analog VLSI
In F.C.Morabito, (Ed.) Advances in Intelligent Systems, IOS Press, 1997, pp.105-110
Anguita D, Passaggio F, Zunino R
Learning in large neural networks
in B.Hertzberger, G.Serazzi (Eds.) High-Performance Computing, Springer Verlag, 1995, pp.269-274 - ISBN 3-540-59393-4
Anguita D, Parodi GC, Zunino R
Associative reduction of dimensionality for image classification.
in G.Vernazza, A.N.Venetzanopoulos, C.Braccini (Eds) Image Processing: Theory and Applications, Elsevier, 1993, pp.451-454
Moneta C, Vernazza G, Zunino R
A vectorial definition of conceptual distance for prototype acquisition and refinement.
in S.Pfleger, Goncalves J, Vernon D (Eds.) Data Fusion Applications, Springer-Verlag, 1993, pp.123-132
Parodi GC, Vernazza G, Zunino R
Shape classification by using associative memories
in Visual Form: Analysis and Recognition, Plenum Press NY, 1992, pp.259-266
Foresti GL, Murino V, Regazzoni C, Zunino R
3D object recognition by integration of associative and symbolic techniques
in Visual Form: Analysis and Recognition, Plenum Press NY, 1992, pp.421-430
Parodi GC, Zunino R
Robust associative image-classification: a comparative analysis.
in W.Forstner, S.Ruwiedel Robust Computer Vision, Wichmann Verlag, Bonn, 1992, pp.204-217
Illengo L, LaRosa M, Parodi GC, Zunino R
Associativity and robustness in image classification.
in V.Cantoni, M.Ferretti, S.Levialdi, R.Negrini, R.Stefanelli (Eds.) Progress in Image Analysis and Processing II, World Scientific Publ.Co., Singapore, 1992, pp.418-455
Patents
Debertol D, Meda E, Picasso F, Tamponi A, Zunino R
Metodo di rilevazione di anomalie in una rete di comunicazione e dispositivo di rete che implementa tale metodo
Dep. Rif. TO2009A000365, May 2009.
Tamagno R., Gastaldo P., Zunino R.
Target ottico, dispositivo e metodo per la valutazione oggettiva delle qualità ottiche di un endoscopio
Dep. Rif ITMI20112382 - Aug 2012