Panayiota Poirazi - researchr alias

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Viewing Publication 1 - 26 from 26

2024

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced ClassificationEirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides. tai, 5(1):80-91, January 2024. [doi]

2023

2021

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural NetworksEirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi. tetci, 5(5):755-767, 2021. [doi]

2017

An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based ProcessorEmmanouil Kousanakis, Apostolos Dollas, Euripides Sotiriades, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Athanasia Papoutsi, Panagiotis C. Petrantonakis, Panayiota Poirazi, Spyridon Chavlis, George Kastellakis. fccm 2017: 56-63 [doi]

2014

Don't use a cannon to kill the ... miRNA mosquitoNestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi. bioinformatics, 30(7):1047-1048, 2014. [doi]

Dendritic Nonlinearities Reduce Network Size Requirements and Mediate ON and OFF States of Persistent Activity in a PFC Microcircuit ModelAthanasia Papoutsi, Kyriaki Sidiropoulou, Panayiota Poirazi. ploscb, 10(7), 2014. [doi]

2013

2012

Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model NeuronsKyriaki Sidiropoulou, Panayiota Poirazi. ploscb, 8(4), 2012. [doi]

2011

Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about TimeJosé Francisco Gómez González, Bartlett W. Mel, Panayiota Poirazi. ficn, 2011:44, 2011. [doi]

A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communitiesEleftheria Tzamali, Panayiota Poirazi, Ioannis G. Tollis, Martin Reczko. bmcsb, 5:167, 2011. [doi]

2010

Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor DimersMaria Manioudaki, Panayiota Poirazi. cisis 2010: 667-671 [doi]

Encoding of Spatio-Temporal Input Characteristics by a CA1 Pyramidal Neuron ModelEleftheria Kyriaki Pissadaki, Kyriaki Sidiropoulou, Martin Reczko, Panayiota Poirazi. ploscb, 6(12), 2010. [doi]

2009

MicroRNAs and Cancer - The Search Begins!Anastasis Oulas, Martin Reczko, Panayiota Poirazi. titb, 13(1):67-77, 2009. [doi]

2007

2006

Individualized markers optimize class prediction of microarray dataPavlos Pavlidis, Panayiota Poirazi. bmcbi, 7:345, 2006. [doi]

2005

Modelling reduced excitability in aged CA1 neurons as a calcium-dependent processMaria E. Markaki, Stelios C. Orphanoudakis, Panayiota Poirazi. ijon, 65-66:305-314, 2005. [doi]

2004

Classification capacity of a modular neural network implementing neurally inspired architecture and training rulesPanayiota Poirazi, Costas Neocleous, Constantinos S. Pattichis, Christos Schizas. tnn, 15(3):597-612, 2004. [doi]

2000

Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic ClassifierPanayiota Poirazi, Bartlett W. Mel. neco, 12(5):1189-1205, 2000.

1999

Memory Capacity of Linear vs. Nonlinear Models of Dendritic IntegrationPanayiota Poirazi, Bartlett W. Mel. nips 2000: 157-163 [doi]

Towards the memory capacity of neurons with active dendritesPanayiota Poirazi, Bartlett W. Mel. ijon, 26-27:237-245, 1999. [doi]

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