Niki Kiriakidou

According to our database, Niki Kiriakidou authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

C-XGBoost model with targeted regularization for treatment effect estimation.

Niki Kiriakidou, Ioannis E. Livieris, Christos Diou

Neural Comput. Appl., June, 2026

2024

Mutual information-based neighbor selection method for causal effect estimation.

Niki Kiriakidou, Ioannis E. Livieris, Panayiotis E. Pintelas

Neural Comput. Appl., June, 2024

C-XGBoost: A Tree Boosting Model for Causal Effect Estimation.

Niki Kiriakidou, Ioannis E. Livieris, Christos Diou

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation.

Niki Kiriakidou, Christos Diou

Int. J. Neural Syst., July, 2023

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.

Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas

J. Imaging, 2023

2022

An evaluation framework for comparing causal inference models.

Niki Kiriakidou, Christos Diou

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

An Improved Neural Network Model for Treatment Effect Estimation.

Niki Kiriakidou, Christos Diou

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2020

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

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops, 2020

2019

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase.

Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

On Ensemble SSL Algorithms for Credit Scoring Problem.

Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas

Informatics, 2018

Forecasting Students' Performance Using an Ensemble SSL Algorithm.

Ioannis E. Livieris, Vassilis Tampakas, Niki Kiriakidou, Tassos A. Mikropoulos, Panagiotis E. Pintelas

Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

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

Proceedings of the 9th International Conference on Information, 2018