| 2023 | ACSSC | Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks. | Nikos Malakasis, Spyridon Chavlis, Panayiota Poirazi |
| 2023 | ACSSC | A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification. | Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides |
| 2023 | IJCNN | Delay-Sensitive Local Plasticity in Echo State Networks. | Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre |
| 2017 | FCCM | An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based Processor. | Emmanouil Kousanakis, Apostolos Dollas, Euripides Sotiriades, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Athanasia Papoutsi, Panagiotis C. Petrantonakis, Panayiota Poirazi, Spyridon Chavlis, George Kastellakis |
| 2013 | BIBE | A bioinformatics approach for investigating the determinants of Drosha processing. | Nestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi |
| 2013 | IJCNN | Towards predicting persistent activity of neurons by statistical and fractal dimension-based features. | Panagiotis C. Petrantonakis, Athanasia Papoutsi, Panayiota Poirazi |
| 2012 | BIBE | SVM-based miRNA: MiRNA∗ duplex prediction. | Nestoras Karathanasis, Ioannis Tsamardinos, Angelos P. Armen, Panayiota Poirazi |
| 2010 | CISIS | Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers. | Maria Manioudaki, Panayiota Poirazi |
| 2008 | BIBE | Mature miRNA identification via the use of a Naive Bayes classifier. | Katerina Gkirtzou, Panagiotis Tsakalides, Panayiota Poirazi |