| 2020 | IJCNN | ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series. | George Kandilogiannakis, Paris A. Mastorocostas |
| 2013 | IJCNN | A telecommunications call volume forecasting system based on a recurrent fuzzy neural network. | Paris A. Mastorocostas, Constantinos S. Hilas, Dimitris N. Varsamis, Stergiani C. Dova |
| 2012 | FedCSIS | A parallel searching algorithm for the insetting procedure in Matlab Parallel Toolbox. | Dimitris N. Varsamis, Paris A. Mastorocostas, Apostolos Papakonstantinou, Nicholas P. Karampetakis |
| 2011 | ISNN | Telecommunications Data Forecasting Based on a Dynamic Neuro-fuzzy Network. | Paris A. Mastorocostas, Constantinos S. Hilas |
| 2007 | ICANN | A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds. | Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas |
| 2005 | IJCNN | A constrained optimization algorithm for training locally recurrent globally feedforward neural networks. | Paris A. Mastorocostas |
| 2005 | IJCNN | A recurrent fuzzy-neural filter for real-time separation of lung sounds. | Paris A. Mastorocostas, John B. Theocharis |
| 2004 | IJCNN | On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithm. | Paris A. Mastorocostas, John B. Theocharis |
| 2004 | IJCNN | On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung sounds. | Paris A. Mastorocostas, John B. Theocharis |
| 2004 | SMC | A dynamic fuzzy-neural filter for the analysis of lung sounds. | Paris A. Mastorocostas, Constantinos S. Hilas |