Francisco de Borja Rodríguez Ortiz

Orcid: 0000-0003-4053-099X

Affiliations:
  • Autonomous University of Madrid, Spain


According to our database1, Francisco de Borja Rodríguez Ortiz authored at least 108 papers between 1995 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons.
Neural Networks, July, 2023

Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Matching Patterns of Temporal Neural Activity Using the Victor-Purpura Distance in Real-Time.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022
Modeling the Sequential Pattern Variability of the Electromotor Command System of Pulse Electric Fish.
Frontiers Neuroinformatics, 2022

2021
Influence of bio-inspired activity regulation through neural thresholds learning in the performance of neural networks.
Neurocomputing, 2021

Ensemble of diluted attractor networks with optimized topology for fingerprint retrieval.
Neurocomputing, 2021

P300 Characterization Through Granger Causal Connectivity in the Context of Brain-Computer Interface Technologies.
Proceedings of the Advances in Computational Intelligence, 2021

Fine-Tuning of Patterns Assignment to Subnetworks Increases the Capacity of an Attractor Network Ensemble.
Proceedings of the Advances in Computational Intelligence, 2021

A Fine Dry-Electrode Selection to Characterize Event-Related Potentials in the Context of BCI.
Proceedings of the Advances in Computational Intelligence, 2021

Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines.
Proceedings of the Advances in Computational Intelligence, 2021

Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Automatic Adaptation of Model Neurons and Connections to Build Hybrid Circuits with Living Networks.
Neuroinformatics, 2020

A Low-Cost Computational Method for Characterizing Event-Related Potentials for BCI Applications and Beyond.
IEEE Access, 2020

2019
RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience.
Frontiers Neuroinformatics, 2019

Algorithmic clustering based on string compression to extract P300 structure in EEG signals.
Comput. Methods Programs Biomed., 2019

Fingerprint Retrieval Using a Specialized Ensemble of Attractor Networks.
Proceedings of the Advances in Computational Intelligence, 2019

Ensemble of Attractor Networks for 2D Gesture Retrieval.
Proceedings of the Advances in Computational Intelligence, 2019

A Methodology for Retrofitting Privacy and Its Application to e-Shopping Transactions.
Proceedings of the Advances in Cyber Security: Principles, Techniques, and Applications., 2019

2018
Stimulus space complexity determines the ratio of specialist and generalist neurons during pattern recognition.
J. Frankl. Inst., 2018

Modeling Sustainability Reporting with Ternary Attractor Neural Networks.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Compression-Based Clustering of Video Human Activity Using an ASCII Encoding.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Input Pattern Complexity Determines Specialist and Generalist Populations in Drosophila Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Strategies to Enhance Pattern Recognition in Neural Networks Based on the Insect Olfactory System.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Evolutionary Tuning of a Pulse Mormyrid Electromotor Model to Generate Stereotyped Sequences of Electrical Pulse Intervals.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Privacy in e-Shopping Transactions: Exploring and Addressing the Trade-Offs.
Proceedings of the Cyber Security Cryptography and Machine Learning, 2018

An electrode selection approach in P300-based BCIs to address inter- and intra-subject variability.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Increase attractor capacity using an ensembled neural network.
Expert Syst. Appl., 2017

Fair and Accountable Anonymity for the Tor Network.
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017

Effects of Locomotive Drift in Scale-Invariant Robotic Search Strategies.
Proceedings of the Biomimetic and Biohybrid Systems - 6th International Conference, 2017

Exploring a Mathematical Model of Gain Control via Lateral Inhibition in the Antennal Lobe.
Proceedings of the Advances in Computational Intelligence, 2017

Analysis of Electroreception with Temporal Code-Driven Stimulation.
Proceedings of the Advances in Computational Intelligence, 2017

Capacity and Retrieval of a Modular Set of Diluted Attractor Networks with Respect to the Global Number of Neurons.
Proceedings of the Advances in Computational Intelligence, 2017

How to Reduce Classification Error in ERP-Based BCI: Maximum Relative Areas as a Feature for P300 Detection.
Proceedings of the Advances in Computational Intelligence, 2017

An approach of algorithmic clustering based on string compression to identify bird songs species in xeno-canto database.
Proceedings of the 3rd International Conference on Frontiers of Signal Processing, 2017

2016
Temporal Code-Driven Stimulation: Definition and Application to Electric Fish Signaling.
Frontiers Neuroinformatics, 2016

2015
Discovering Data Set Nature through Algorithmic Clustering Based on String Compression.
IEEE Trans. Knowl. Data Eng., 2015

Regulation of specialists and generalists by neural variability improves pattern recognition performance.
Neurocomputing, 2015

libgroupsig: An extensible C library for group signatures.
IACR Cryptol. ePrint Arch., 2015

Controlling a Smartphone Using Gaze Gestures as the Input Mechanism.
Hum. Comput. Interact., 2015

Specialist Neurons in Feature Extraction Are Responsible for Pattern Recognition Process in Insect Olfaction.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Privacy Threats in E-Shopping (Position Paper).
Proceedings of the Data Privacy Management, and Security Assurance, 2015

Non-conventional Digital Signatures and Their Implementations - A Review.
Proceedings of the International Joint Conference, 2015

2014
On securing online registration protocols: Formal verification of a new proposal.
Knowl. Based Syst., 2014

Improving NCD accuracy by combining document segmentation and document distortion.
Knowl. Inf. Syst., 2014

A formal methodology for integral security design and verification of network protocols.
J. Syst. Softw., 2014

Retrieval of noisy Fingerprint Patterns using Metric Attractor Networks.
Int. J. Neural Syst., 2014

Fair anonymity for the Tor network.
CoRR, 2014

New X.509-based mechanisms for fair anonymity management.
Comput. Secur., 2014

Methodological Security Verification of a Registration Protocol.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Design Principles for Cooperative Robots with Uncertainty-Aware and Resource-Wise Adaptive Behavior.
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014

Neural Trade-Offs among Specialist and Generalist Neurons in Pattern Recognition.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
Cryptanalysis of a one round chaos-based Substitution Permutation Network.
Signal Process., 2013

Application of symbolic dynamics to characterize coordinated activity in the context of biological neural networks.
J. Frankl. Inst., 2013

Neuron Threshold Variability in an Olfactory Model Improves Odorant Discrimination.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Detection Method for Phase Synchronization in a Population of Spiking Neurons.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

2012
Gliding and saccadic gaze gesture recognition in real time.
ACM Trans. Interact. Intell. Syst., 2012

Extending the bioinspired hierarchical temporal memory paradigm for sign language recognition.
Neurocomputing, 2012

Is the contextual information relevant in text clustering by compression?
Expert Syst. Appl., 2012

Formal security analysis of registration protocols for interactive systems: a methodology and a case of study
CoRR, 2012

Communication by identity discrimination in bio-inspired multi-agent systems.
Concurr. Comput. Pract. Exp., 2012

Low cost remote gaze gesture recognition in real time.
Appl. Soft Comput., 2012

Anonymity Revocation through Standard Infrastructures.
Proceedings of the Public Key Infrastructures, Services and Applications, 2012

2011
Signature Neural Networks: Definition and Application to Multidimensional Sorting Problems.
IEEE Trans. Neural Networks, 2011

Reducing the Loss of Information through Annealing Text Distortion.
IEEE Trans. Knowl. Data Eng., 2011

Local Context Discrimination in Signature Neural Networks.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Gaze Gesture Recognition with Hierarchical Temporal Memory Networks.
Proceedings of the Advances in Computational Intelligence, 2011

Flexible Entrainment in a Bio-inspired Modular Oscillator for Modular Robot Locomotion.
Proceedings of the Advances in Computational Intelligence, 2011

An Approach for Adapting Moodle into a Secure Infrastructure.
Proceedings of the Computational Intelligence in Security for Information Systems, 2011

2010
Using virtual worlds for behaviour clustering-based analysis.
Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning, 2010

Relevance of Contextual Information in Compression-Based Text Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Optimal Message Interchange in a Self-organizing Multi-agent System.
Proceedings of the Intelligent Distributed Computing IV - Proceedings of the 4th International Symposium on Intelligent Distributed Computing, 2010

A PCA-based super-resolution algorithm for short image sequences.
Proceedings of the International Conference on Image Processing, 2010

Dynamical Invariants for CPG Control in Autonomous Robots.
Proceedings of the ICINCO 2010, 2010

Optimizing Hierarchical Temporal Memory for Multivariable Time Series.
Proceedings of the Artificial Neural Networks, 2010

Influence of music representation on compression-based clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Block attractor in spatially organized neural networks.
Neurocomputing, 2009

Techniques for temporal detection of neural sensitivity to external stimulation.
Biol. Cybern., 2009

2008
Contextual information retrieval based on algorithmic information theory and statistical outlier detection.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Evaluating the Impact of Information Distortion on Normalized Compression Distance.
Proceedings of the Coding Theory and Applications, Second International Castle Meeting, 2008

2007
Information and Topology in Attractor Neural Networks.
Neural Comput., 2007

A two-step neural-network based algorithm for fast image super-resolution.
Image Vis. Comput., 2007

Reaction to neural signatures through excitatory synapses in central pattern generator models.
Neurocomputing, 2007

Temporal structure in the bursting activity of the leech heartbeat CPG neurons.
Neurocomputing, 2007

Evaluating the Impact of Information Distortion on Normalized Compression Distance-driven Text Clustering
CoRR, 2007

2006
Neural Signatures: Multiple Coding in Spiking-bursting Cells.
Biol. Cybern., 2006

2005
Dynamical Neural Network: Information and Topology
CoRR, 2005

Realistic Stimulation Through Advanced Dynamic-Clamp Protocols.
Proceedings of the Mechanisms, 2005

Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Analysis of perfect mappings of the stimuli through neural temporal sequences.
Neural Networks, 2004

Networks of neurons that emit and recognize signatures.
Neurocomputing, 2004

Effect of individual spiking activity on rhythm generation of central pattern generators.
Neurocomputing, 2004

Mutual Information and Topology 2: Symmetric Network.
Proceedings of the Advances in Neural Networks, 2004

Mutual Information and Topology 1: Asymmetric Neural Network.
Proceedings of the Advances in Neural Networks, 2004

2003
Stochastic Networks with Subthreshold Oscillations and Spiking Activity.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Hybrid MLP-PNN Architecture for Fast Image Superresolution.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis.
Proceedings of the Artificial Neural Networks, 2002

Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis.
Proceedings of the Artificial Neural Networks, 2002

2001
Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons.
Neural Comput., 2001

Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information.
Proceedings of the Connectionist Models of Neurons, 2001

1999
Periodic and Synchronic Firing in an Ensemble of Identical Stochastic Units: Structural Stability.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
Efficient Learning in Boltzmann Machines Using Linear Response Theory.
Neural Comput., 1998

1997
Mean field approach to learning in Boltzmann Machine.
Pattern Recognit. Lett., 1997

Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Stability and Hebbian Learning in Populations of Probabilistic Neurons.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Accelerated Learning in Boltzmann Machines Using Mean Field Theory.
Proceedings of the Artificial Neural Networks, 1997

1995
A Simple Probabilistic Neural Model Producing Multimodal ISHs.
Proceedings of the From Natural to Artificial Neural Computation, 1995


  Loading...