Rodolfo Zunino

According to our database1, Rodolfo Zunino authored at least 135 papers between 1989 and 2022.

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Bibliography

2022
Design and Deployment of an Image Polarity Detector with Visual Attention.
Cogn. Comput., 2022

2021
T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects.
Sensors, 2021

Random-based networks with dropout for embedded systems.
Neural Comput. Appl., 2021

1-D Convolutional Neural Networks for Touch Modalities Classification.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

A pose-based hand image classification method retrainable on embedded target devices.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices.
Neural Process. Lett., 2020

Balancing computational complexity and generalization ability: A novel design for ELM.
Neurocomputing, 2020

Image Polarity Detection on Resource-Constrained Devices.
IEEE Intell. Syst., 2020

An hardware-aware image polarity detector enhanced with visual attention.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Cognitive Insights into Sentic Spaces Using Principal Paths.
Cogn. Comput., 2019

Learning with Similarity Functions: a Tensor-Based Framework.
Cogn. Comput., 2019

The Applicability of a SIEM Solution: Requirements and Evaluation.
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

Fast Transfer Learning for Image Polarity Detection.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Data-Driven Video Grasping Classification for Low-Power Embedded System.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

A Comprehensive Framework for the Security Risk Management of Cyber-Physical Systems.
Proceedings of the Resilience of Cyber-Physical Systems, 2019

2018
A Digital Implementation of Extreme Learning Machines for Resource-Constrained Devices.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Bayesian network based extreme learning machine for subjectivity detection.
J. Frankl. Inst., 2018

2017
Learning with similarity functions: A novel design for the extreme learning machine.
Neurocomputing, 2017

2016
Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

SIM-ELM: Connecting the ELM model with similarity-function learning.
Neural Networks, 2016

Inductive bias for semi-supervised extreme learning machine.
Neurocomputing, 2016

Spam detection of Twitter traffic: A framework based on random forests and non-uniform feature sampling.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
A tensor-based approach to touch modality classification by using machine learning.
Robotics Auton. Syst., 2015

An ELM-based model for affective analogical reasoning.
Neurocomputing, 2015

A learning scheme based on similarity functions for affective common-sense reasoning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Real-time monitoring of Twitter traffic by using semantic networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Computational Intelligence Techniques for Tactile Sensing Systems.
Sensors, 2014

Semi-supervised machine learning approach for unknown malicious software detection.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

A high-linearity design for rail-to-rail fully differential current conveyors.
Proceedings of the 21st IEEE International Conference on Electronics, Circuits and Systems, 2014

A machine learning approach for Twitter spammers detection.
Proceedings of the International Carnahan Conference on Security Technology, 2014

Machine Learning-Based System for Detecting Unseen Malicious Software.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2014

2013
Circular-ELM for the reduced-reference assessment of perceived image quality.
Neurocomputing, 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

Supporting visual quality assessment with machine learning.
EURASIP J. Image Video Process., 2013

Embedded implementation of Edwards curve- and extended Jacobi quartic curve-based cryptosystems.
Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, 2013

An analyst-adaptive approach to focused crawlers.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Data intensive review mining for sentiment classification across heterogeneous domains.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Efficient Digital Implementation of Extreme Learning Machines for Classification.
IEEE Trans. Circuits Syst. II Express Briefs, 2012

2011
Tactile-Data Classification of Contact Materials Using Computational Intelligence.
IEEE Trans. Robotics, 2011

Efficient approximate Regularized Least Squares by Toeplitz matrix.
Pattern Recognit. Lett., 2011

Efficient neural-network-based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images.
J. Electronic Imaging, 2011

Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications.
Intell. Data Anal., 2011

Semantic Models for Style-Based Text Clustering.
Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011

Semantic Oriented Clustering of Documents.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Computational intelligence methods for underwater magnetic-based protection systems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Interactions of visual attention and quality perception.
Proceedings of the Human Vision and Electronic Imaging XVI, 2011

2010
Using unsupervised analysis to constrain generalization bounds for support vector classifiers.
IEEE Trans. Neural Networks, 2010

Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality.
IEEE Trans. Circuits Syst. Video Technol., 2010

A Web-Based Laboratory for Digital Signal Processing.
Int. J. Online Eng., 2010

SeaLab Advanced Information Retrieval.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000.
Proceedings of the Human Vision and Electronic Imaging XV, 2010

2009
Neural projection techniques for the visual inspection of network traffic.
Neurocomputing, 2009

Maximal-discrepancy bounds for regularized classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2009

Circuit implementation of SVM training.
Proceedings of the International Joint Conference on Neural Networks, 2009

How to apply spatial saliency into objective metrics for JPEG compressed images?
Proceedings of the International Conference on Image Processing, 2009

Hybrid Neural Systems for Reduced-Reference Image Quality Assessment.
Proceedings of the Artificial Neural Networks, 2009

A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection.
Proceedings of the Computational Intelligence in Security for Information Systems, 2009

Text Clustering for Digital Forensics Analysis.
Proceedings of the Computational Intelligence in Security for Information Systems, 2009

2008
Enhanced Montgomery Multiplication on DSP Architectures for Embedded Public-Key Cryptosystems.
EURASIP J. Embed. Syst., 2008

Co-occurrence Matrixes for the Quality Assessment of Coded Images.
Proceedings of the Artificial Neural Networks, 2008

Non-stationary Data Mining: The Network Security Issue.
Proceedings of the Artificial Neural Networks, 2008

Hypermetric k-Means Clustering for Content-Based Document Management.
Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems, 2008

2007
Efficient Implementation of SVM Training on Embedded Electronic Systems.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

IDS Based on Bio-inspired Models.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems.
Proceedings of the Computational and Ambient Intelligence, 2007

Intrusion Detection at Packet Level by Unsupervised Architectures.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

No-Reference Quality Assessment of JPEG Images by Using CBP Neural Networks.
Proceedings of the Artificial Neural Networks, 2007

2006
Prospects of quantum-classical optimization for digital design.
Appl. Math. Comput., 2006

Embedded Electronics Systems for Training Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Objective quality assessment of displayed images by using neural networks.
Signal Process. Image Commun., 2005

Neural networks for the no-reference assessment of perceived quality.
J. Electronic Imaging, 2005

2004
Using K-Winner Machines for domain analysis.
Neurocomputing, 2004

No-reference quality assessment of JPEG images by using CBP neural networks.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

2003
Digital implementation of hierarchical vector quantization.
IEEE Trans. Neural Networks, 2003

Quantum optimization for training support vector machines.
Neural Networks, 2003

Hyperparameter design criteria for support vector classifiers.
Neurocomputing, 2003

2002
Objective quality assessment of MPEG-2 video streams by using CBP neural networks.
IEEE Trans. Neural Networks, 2002

Objective assessment of MPEG-2 video quality.
J. Electronic Imaging, 2002

Hausdorff distance for target detection.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Image quality assessment by using neural networks.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Circular Back-Propagation Networks for Measuring Displayed Image Quality.
Proceedings of the Artificial Neural Networks, 2002

Automatic Hyperparameter Tuning for Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2002

2001
Empirical measure of multiclass generalization performance: the K-winner machine case.
IEEE Trans. Neural Networks, 2001

K-winner machines for pattern classification.
IEEE Trans. Neural Networks, 2001

2000
Vector quantization for license-plate location and image coding.
IEEE Trans. Ind. Electron., 2000

Augmenting vector quantization with interval arithmetics for image-coding applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

The K-Winner Machine Model.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Circular backpropagation networks embed vector quantization.
IEEE Trans. Neural Networks, 1999

Representation and generalization properties of class-entropy networks.
IEEE Trans. Neural Networks, 1999

A multiprocessor-oriented visual tracking system.
IEEE Trans. Ind. Electron., 1999

Visual location of license plates by vector quantization.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Analog vector quantization chip for flexible video compression systems.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

VLSI circuits with fractal layout for spatial image decorrelation.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Flexible video compression systems using an analog vector quantization chip.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

License-plate localization by using vector quantization.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Plastic Algorithm for Adaptive Vector Quantisation.
Neural Comput. Appl., 1998

Hypercube structures with high-connectivity supporting nodes.
J. Syst. Archit., 1998

An Image-Recognition System Implemented on Hierarchical Parallel Architectures.
Int. J. Pattern Recognit. Artif. Intell., 1998

1997
Circular backpropagation networks for classification.
IEEE Trans. Neural Networks, 1997

Transputer-Based Implementation of Distributed Associative Memories.
Parallel Comput., 1997

Implementing Probabilistic Neural Networks.
Neural Comput. Appl., 1997

CBP networks as a generalized neural model.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

BP networks for partial discharge analysis and dielectric classification.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Hardware implementation of the neural gas.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Parallel architectures for vector quantization.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

On the importance of sorting in "neural gas" training of vector quantizers.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

VLSI Architectures for Programmable Sorting of Analog Quantities with Multiple-Chip Support.
Proceedings of the 7th Great Lakes Symposium on VLSI (GLS-VLSI '97), 1997

Parallel VLSI Architectures for Cryptographic Systems.
Proceedings of the 7th Great Lakes Symposium on VLSI (GLS-VLSI '97), 1997

Optimal data allocation for processor-tree architectures.
Proceedings of the 23rd EUROMICRO Conference '97, 1997

High performance in tree-based parallel architectures.
Proceedings of the 23rd EUROMICRO Conference '97, 1997

1996
Limiting the effects of weight errors in feedforward networks using interval arithmetic.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A parallel approach to plastic neural gas.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A vector quantization circuit for trainable neural networks.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

Sensor integration in associative visual structures.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
Adaptive Internal Representation in Circular Back-Propagation Networks.
Neural Comput. Appl., 1995

Neural structures for visual motion tracking.
Mach. Vis. Appl., 1995

Learning in large neural networks.
Proceedings of the High-Performance Computing and Networking, 1995

Learning the appropriate representation paradigm by circular processing units.
Proceedings of the ESANN 1995, 1995

Prototyping Neural Networks Learn Lyme Borreliosis.
Proceedings of the Eighth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995

Validation of a Large Medical Database.
Proceedings of the Eighth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995

1994
Class-Entropy Minimisation Networks for Domain Analysis and Rule Extraction.
Neural Comput. Appl., 1994

Associative structures for vision.
Multidimens. Syst. Signal Process., 1994

An efficient implementation of BP on RISC-based workstations.
Neurocomputing, 1994

Neural approaches to the diagnosis and characterization of the Lyme disease.
Proceedings of the Seventh Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'94), 1994

1993
A performance analysis of an associative system for image classification.
Pattern Recognit. Lett., 1993

Parallel Implementation of Associative Memories for Image Classification.
Parallel Comput., 1993

Using chaos to generate keys for associative noise-like coding memories.
Neural Networks, 1993

Pruning and rule extraction using class entropy.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
On the need for integrated approaches to image understanding.
Eur. Trans. Telecommun., 1992

1991
Transputer-based architectures for associative image classification.
Proceedings of the Third IEEE Symposium on Parallel and Distributed Processing, 1991

1990
Map-Driven Image Interpretation by Associative Model Indexing.
Proceedings of IAPR Workshop on Machine Vision Applications, 1990

1989
Integration of Territorial Maps in the Vision System of an Autonomous Land Vehicle.
Proceedings of the Intelligent Autonomous Systems 2, 1989


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