Panayiota Poirazi

33 papers B 2C 3Misc 4Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification.
IEEE Trans. Artif. Intell.
Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides
2024 J jnl
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning.
CoRR
Spyridon Chavlis, Panayiota Poirazi
2023 Misc conf
A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification.
ACSSC
Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides
2023 B conf
Delay-Sensitive Local Plasticity in Echo State Networks.
IJCNN
Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre
2023 J jnl
Leveraging dendritic properties to advance machine learning and neuro-inspired computing.
CoRR
Michalis Pagkalos, Roman Makarov, Panayiota Poirazi
2023 Misc conf
Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks.
ACSSC
Nikos Malakasis, Spyridon Chavlis, Panayiota Poirazi
2021 J jnl
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi
2021 J jnl
Dendritic Self-Organizing Maps for Continual Learning.
CoRR
Kosmas Pinitas, Spyridon Chavlis, Panayiota Poirazi
2019 J jnl
Artificial neural networks in action for an automated cell-type classification of biological neural networks.
CoRR
Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi
2017 Misc conf
An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based Processor.
FCCM
Emmanouil Kousanakis, Apostolos Dollas, Euripides Sotiriades, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Athanasia Papoutsi, Panagiotis C. Petrantonakis, Panayiota Poirazi, Spyridon Chavlis, George Kastellakis
2014 — ch.
Dendritic Computation.
Encyclopedia of Computational Neuroscience
Panayiota Poirazi
2014 J jnl
Dendritic Nonlinearities Reduce Network Size Requirements and Mediate ON and OFF States of Persistent Activity in a PFC Microcircuit Model.
PLoS Comput. Biol.
Athanasia Papoutsi, Kyriaki Sidiropoulou, Panayiota Poirazi
2014 J jnl
Don't use a cannon to kill the ... miRNA mosquito.
Bioinform.
Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
2013 C conf
A bioinformatics approach for investigating the determinants of Drosha processing.
BIBE
Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
2013 J jnl
Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses.
Frontiers Comput. Neurosci.
Armando Romani, Cristina Marchetti, Daniela Bianchi, Xavier Leinekugel, Panayiota Poirazi, Michele Migliore, Hélène Marie
2013 B conf
Towards predicting persistent activity of neurons by statistical and fractal dimension-based features.
IJCNN
Panagiotis C. Petrantonakis, Athanasia Papoutsi, Panayiota Poirazi
2012 J jnl
Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons.
PLoS Comput. Biol.
Kyriaki Sidiropoulou, Panayiota Poirazi
2012 C conf
SVM-based miRNA: MiRNA∗ duplex prediction.
BIBE
Nestoras Karathanasis, Ioannis Tsamardinos, Angelos P. Armen, Panayiota Poirazi
2011 J jnl
A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities.
BMC Syst. Biol.
Eleftheria Tzamali, Panayiota Poirazi, Ioannis G. Tollis, Martin Reczko
2011 J jnl
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.
Frontiers Comput. Neurosci.
José Francisco Gómez González, Bartlett W. Mel, Panayiota Poirazi
2010 J jnl
Encoding of Spatio-Temporal Input Characteristics by a CA1 Pyramidal Neuron Model.
PLoS Comput. Biol.
Eleftheria Kyriaki Pissadaki, Kyriaki Sidiropoulou, Martin Reczko, Panayiota Poirazi
2010 Misc conf
Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers.
CISIS
Maria Manioudaki, Panayiota Poirazi
2009 J jnl
MicroRNAs and Cancer - The Search Begins!
IEEE Trans. Inf. Technol. Biomed.
Anastasis Oulas, Martin Reczko, Panayiota Poirazi
2008 C conf
Mature miRNA identification via the use of a Naive Bayes classifier.
BIBE
Katerina Gkirtzou, Panagiotis Tsakalides, Panayiota Poirazi
2007 J jnl
Modeling stress-induced adaptations in Ca
Neurocomputing
Kyriaki Sidiropoulou, Marian Joëls, Panayiota Poirazi
2007 J jnl
Modulation of excitability in CA1 pyramidal neurons via the interplay of entorhinal cortex and CA3 inputs.
Neurocomputing
Eleftheria Kyriaki Pissadaki, Panayiota Poirazi
2007 J jnl
The Impact of Systems Biology on the Digital Patient.
ERCIM News
Martin Reczko, Panayiota Poirazi, Anastasis Oulas, Eleftheria Tzamali, Maria Manioudaki, Vassilis Tsiaras, Ioannis G. Tollis
2006 J jnl
Individualized markers optimize class prediction of microarray data.
BMC Bioinform.
Pavlos Pavlidis, Panayiota Poirazi
2005 J jnl
Modelling reduced excitability in aged CA1 neurons as a calcium-dependent process.
Neurocomputing
Maria E. Markaki, Stelios C. Orphanoudakis, Panayiota Poirazi
2004 J jnl
Classification capacity of a modular neural network implementing neurally inspired architecture and training rules.
IEEE Trans. Neural Networks
Panayiota Poirazi, Costas Neocleous, Constantinos S. Pattichis, Christos N. Schizas
2000 J jnl
Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier.
Neural Comput.
Panayiota Poirazi, Bartlett W. Mel
1999 — conf
Memory Capacity of Linear vs. Nonlinear Models of Dendritic Integration.
NIPS
Panayiota Poirazi, Bartlett W. Mel
1999 J jnl
Towards the memory capacity of neurons with active dendrites.
Neurocomputing
Panayiota Poirazi, Bartlett W. Mel