Artificial Neural Networks and Iterative Linear Algebra Methods. - Konstantinos G. Margaritis; Miltiades Adamopoulos; Konstantinos Goulianas; David J. Evans 001 (Parallel Algorithms Appl., 1994)

On multi-property set operations using neural networks and systolic arrays. - Konstantinos G. Margaritis; Konstantinos Goulianas; Miltiades Adamopoulos; Constantine Tsouros; David J. Evans 001 (Neural Parallel Sci. Comput., 1995)

Αρχιτεκτονικές και αλγόριθμοι τεχνητών νευρωνικών δικτύων για την επίλυση συστημάτων γραμμικών εξισώσεων και προβλημάτων ταξινόμησης και προσαρμογής - Konstantinos Goulianas (2000)

Linear Neural Network Training Algorithms for Real-World Benchmark Problems. - Konstantinos Goulianas; Miltiades Adamopoulos; Stefanos Katsavounis; Charalambos Fragakis; Constantine Tsouros (Int. J. Comput. Math., 2002)

Finding all roots of 2 × 2 nonlinear algebraic systems using back-propagation neural networks. - Athanasios Margaris; Konstantinos Goulianas (Neural Comput. Appl., 2012)

Finding all real roots of 3 × 3 nonlinear algebraic systems using neural networks. - Konstantinos Goulianas; Athanasios Margaris; Miltiades Adamopoulos (Appl. Math. Comput., 2013)

Analyzing data into quantized components. - Konstantinos I. Diamantaras; Theophilos Papadimitriou; Konstantinos Goulianas (ICASSP, 2014)

Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Konstantinos Goulianas; Ioanna Chouvarda (BIBE, 2023)

Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Konstantinos Goulianas; Ioanna Chouvarda; Vasileios Argyriou; Panagiotis G. Sarigiannidis (MIUA (2), 2024)