Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. - Ioannis E. Livieris; Andreas Kanavos; Gerasimos Vonitsanos; Niki Kiriakidou; Anastasios Vikatos; Konstantinos C. Giotopoulos; Vassilis Tampakas (IISA, 2018)

Forecasting Students' Performance Using an Ensemble SSL Algorithm. - Ioannis E. Livieris; Vassilis Tampakas; Niki Kiriakidou; Tassos A. Mikropoulos; Panagiotis E. Pintelas (TECH-EDU, 2018)

On Ensemble SSL Algorithms for Credit Scoring Problem. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Informatics, 2018)

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Gerasimos Vonitsanos; Vassilis Tampakas (AIAI (Workshops), 2019)

An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement. - Ioannis E. Livieris; Emmanuel Pintelas; Niki Kiriakidou; Stavros Stavroyiannis (AIAI (Workshops), 2020)

An Improved Neural Network Model for Treatment Effect Estimation. - Niki Kiriakidou; Christos Diou (AIAI (2), 2022)

An evaluation framework for comparing causal inference models. - Niki Kiriakidou; Christos Diou (SETN, 2022)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. - Ioannis E. Livieris; Emmanuel Pintelas; Niki Kiriakidou; Panayiotis E. Pintelas (J. Imaging, 2023)

Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation. - Niki Kiriakidou; Christos Diou (Int. J. Neural Syst., 2023)

C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. - Niki Kiriakidou; Ioannis E. Livieris; Christos Diou (AIAI (3), 2024)

Mutual information-based neighbor selection method for causal effect estimation. - Niki Kiriakidou; Ioannis E. Livieris; Panayiotis E. Pintelas (Neural Comput. Appl., 2024)