Improving the Convergence Speed of Deep Neural Networks with Biased Sampling. - George Ioannou; Thanos Tagaris; Andreas Stafylopatis (ICAAI, 2019)

Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors. - Thanos Tagaris; George Ioannou; Maria Sdraka; Georgios Alexandridis; Andreas Stafylopatis (ICAAI, 2019)

High-Resolution Class Activation Mapping. - Thanos Tagaris; Maria Sdraka; Andreas Stafylopatis (ICIP, 2019)

Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data. - Filippos Konidaris; Thanos Tagaris; Maria Sdraka; Andreas Stafylopatis (VISIGRAPP (5: VISAPP), 2019)

From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization. - Georgios Alexandridis; Thanos Tagaris; Giorgos Siolas; Andreas Stafylopatis (WWW (Companion Volume), 2019)

Hide-and-Seek: A Template for Explainable AI. - Thanos Tagaris; Andreas Stafylopatis (CoRR, 2020)

Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images. - George Ioannou; Tasos Papagiannis; Thanos Tagaris; Georgios Alexandridis; Andreas Stafylopatis (ICCVW, 2021)

AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization. - George Ioannou; Thanos Tagaris; Andreas Stafylopatis (Neural Process. Lett., 2023)