Anastasia-Dimitra Lipitakis

According to our database, Anastasia-Dimitra Lipitakis authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, June, 2024

2023

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, November, 2023

2021

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

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

Proceedings of the Machine Learning Paradigms - Advances in Learning Analytics, 2020

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

2017

Predicting Student Performance in Distance Higher Education Using Active Learning.

Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George A. Gravvanis

Proceedings of the Engineering Applications of Neural Networks, 2017

2015

Combining ensembles algorithms of symbolic learners.

Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis

Proceedings of the 6th International Conference on Information, 2015

Integrating global and local boosting.

Anastasia-Dimitra Lipitakis, Gerasimos S. Antzoulatos, Sotiris Kotsiantis, Michael N. Vrahatis

Proceedings of the 6th International Conference on Information, 2015

2014

A hybrid Machine Learning methodology for imbalanced datasets.

Anastasia-Dimitra Lipitakis, Sotirios Kotsiantis

Proceedings of the 5th International Conference on Information, 2014