Niki Kiriakidou

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Neural Network Model

Dissimilarity Measure

Image Similarity

Multilayer Perceptron

Top Venues

Publications

Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
C-XGBoost: A tree boosting model for causal effect estimation. CoRR (2024)
Niki Kiriakidou, Ioannis E. Livieris, Panayiotis E. Pintelas
Mutual information-based neighbor selection method for causal effect estimation. Neural Comput. Appl. 36 (16) (2024)
Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. AIAI (3) (2024)
Ioannis E. Livieris, Emmanuel G. Pintelas, Niki Kiriakidou, Panagiotis P. Pintelas
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. CoRR (2023)
Niki Kiriakidou, Christos Diou
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation. Int. J. Neural Syst. 33 (7) (2023)
Niki Kiriakidou, Christos Diou
Integrating nearest neighbors on neural network models for treatment effect estimation. CoRR (2023)
Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. J. Imaging 9 (10) (2023)
Niki Kiriakidou, Christos Diou
An evaluation framework for comparing causal inference models. CoRR (2022)
Niki Kiriakidou, Christos Diou
An Improved Neural Network Model for Treatment Effect Estimation. AIAI (2) (2022)
Niki Kiriakidou, Christos Diou
An evaluation framework for comparing causal inference models. SETN (2022)
Niki Kiriakidou, Christos Diou
An improved neural network model for treatment effect estimation. CoRR (2022)
Ioannis E. Livieris, Emmanuel G. Pintelas, Niki Kiriakidou, Stavros Stavroyiannis
An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement. AIAI Workshops (2020)
Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas
Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. AIAI (Workshops) (2019)
Ioannis E. Livieris, Vassilis Tampakas, Niki Kiriakidou, Tassos A. Mikropoulos, Panagiotis E. Pintelas
Forecasting Students' Performance Using an Ensemble SSL Algorithm. TECH-EDU (2018)
Ioannis E. Livieris, Andreas Kanavos, Gerasimos Vonitsanos, Niki Kiriakidou, Anastasios Vikatos, Konstantinos C. Giotopoulos, Vassilis Tampakas
Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. IISA (2018)
Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas
On Ensemble SSL Algorithms for Credit Scoring Problem. Informatics 5 (4) (2018)