Panayiota Poirazi

Orcid: 0000-0001-6152-595X

Affiliations:
  • Foundation of Research and Technology-Hellas, Heraklion, Crete, Greece


According to our database1, Panayiota Poirazi authored at least 32 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification.
IEEE Trans. Artif. Intell., January, 2024

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning.
CoRR, 2024

2023
Leveraging dendritic properties to advance machine learning and neuro-inspired computing.
CoRR, 2023

Delay-Sensitive Local Plasticity in Echo State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Dendritic Self-Organizing Maps for Continual Learning.
CoRR, 2021

2017
An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based Processor.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

2014
Dendritic Computation.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Dendritic Nonlinearities Reduce Network Size Requirements and Mediate ON and OFF States of Persistent Activity in a PFC Microcircuit Model.
PLoS Comput. Biol., 2014

Don't use a cannon to kill the ... miRNA mosquito.
Bioinform., 2014

2013
Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses.
Frontiers Comput. Neurosci., 2013

Towards predicting persistent activity of neurons by statistical and fractal dimension-based features.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A bioinformatics approach for investigating the determinants of Drosha processing.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons.
PLoS Comput. Biol., 2012

SVM-based miRNA: MiRNA∗ duplex prediction.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2011
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.
Frontiers Comput. Neurosci., 2011

A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities.
BMC Syst. Biol., 2011

2010
Encoding of Spatio-Temporal Input Characteristics by a CA1 Pyramidal Neuron Model.
PLoS Comput. Biol., 2010

Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers.
Proceedings of the CISIS 2010, 2010

2009
MicroRNAs and Cancer - The Search Begins!
IEEE Trans. Inf. Technol. Biomed., 2009

2008
Mature miRNA identification via the use of a Naive Bayes classifier.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Modeling stress-induced adaptations in Ca<sup>2+</sup> dynamics.
Neurocomputing, 2007

Modulation of excitability in CA1 pyramidal neurons via the interplay of entorhinal cortex and CA3 inputs.
Neurocomputing, 2007

The Impact of Systems Biology on the Digital Patient.
ERCIM News, 2007

2006
Individualized markers optimize class prediction of microarray data.
BMC Bioinform., 2006

2005
Modelling reduced excitability in aged CA1 neurons as a calcium-dependent process.
Neurocomputing, 2005

2004
Classification capacity of a modular neural network implementing neurally inspired architecture and training rules.
IEEE Trans. Neural Networks, 2004

2000
Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier.
Neural Comput., 2000

1999
Towards the memory capacity of neurons with active dendrites.
Neurocomputing, 1999

Memory Capacity of Linear vs. Nonlinear Models of Dendritic Integration.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999


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