A hybrid Machine Learning methodology for imbalanced datasets. - Anastasia-Dimitra Lipitakis; Sotirios Kotsiantis (IISA, 2014)

Integrating global and local boosting. - Anastasia-Dimitra Lipitakis; Gerasimos S. Antzoulatos; Sotiris Kotsiantis; Michael N. Vrahatis (IISA, 2015)

Combining ensembles algorithms of symbolic learners. - Anastasia-Dimitra Lipitakis; Sotiris Kotsiantis (IISA, 2015)

Predicting Student Performance in Distance Higher Education Using Active Learning. - Georgios Kostopoulos; Anastasia-Dimitra Lipitakis; Sotiris Kotsiantis; George A. Gravvanis (EANN, 2017)

A note on parallel approximate pseudoinverse matrix techniques for solving linear least squares problems. - Anastasia-Dimitra Lipitakis; Christos K. Filelis-Papadopoulos; George A. Gravvanis; Dimosthenis Anagnostopoulos (J. Comput. Sci., 2020)

The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropout-Prone Students. - Christos Pierrakeas; Giannis Koutsonikos; Anastasia-Dimitra Lipitakis; Sotiris Kotsiantis; Michalis Xenos; George A. Gravvanis (Machine Learning Paradigms, 2020)

An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting. - Athanasios I. Salamanis; Anastasia-Dimitra Lipitakis; George A. Gravvanis; Sotiris Kotsiantis; Dimosthenis Anagnostopoulos (Expert Syst. Appl., 2021)

Empirical investigation of factors influencing function as a service performance in different cloud/edge system setups. - Anastasia-Dimitra Lipitakis; George Kousiouris; Mara Nikolaidou; Cleopatra Bardaki; Dimosthenis Anagnostopoulos (Simul. Model. Pract. Theory, 2023)

Sparse Approximate Pseudoinverse Preconditioning for Sparse Supervised Learning Problems with More Features than Samples. - Anastasia-Dimitra Lipitakis; George A. Gravvanis; Christos K. Filelis-Papadopoulos; Sotiris Kotsiantis; Dimosthenis Anagnostopoulos (Int. J. Artif. Intell. Tools, 2024)