Generating Recommendations by Graph Traversal in Social Rating Networks. - Flora Sakketou; Nicholas Ampazis; Dimosthenis Drivaliaris (SETN, 2018)

On the Invariance of the SELU Activation Function on Algorithm and Hyperparameter Selection in Neural Network Recommenders. - Flora Sakketou; Nicholas Ampazis (AIAI, 2019)

A Hessian Free Neural Networks Training Algorithm with Curvature Scaled Adaptive Momentum. - Flora Sakketou; Nicholas Ampazis (LION, 2019)

A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization. - Nicholas Ampazis; Theodoros Emmanouilidis; Flora Sakketou (Mach. Learn. Knowl. Extr., 2019)

A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons. - Flora Sakketou; Nicholas Ampazis (Knowl. Based Syst., 2020)

Deep learning algorithms and architectures for natural language processing - Flora Sakketou (2020)

Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion. - Flora Sakketou; Allison Lahnala; Liane Vogel; Lucie Flek (LREC, 2022)

FACTOID: A New Dataset for Identifying Misinformation Spreaders and Political Bias. - Flora Sakketou; Joan Plepi; Riccardo Cervero; Henri-Jacques Geiss; Paolo Rosso; Lucie Flek (LREC, 2022)

A Computationally Efficient Second Order Deep Learning Training Algorithm with Adaptive Momentum. - Flora Sakketou; Nicholas Ampazis (SETN, 2024)

Diversifying Multi-Head Attention in the Transformer Model. - Nicholas Ampazis; Flora Sakketou (Mach. Learn. Knowl. Extr., 2024)