ProfessorsProfessors of Harokopio UniversityNiki Kiriakidou

Niki Kiriakidou

Harokopio University

H-index: 5

Europe-Greece

About Niki Kiriakidou

Niki Kiriakidou, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Harokopio University, specializes in the field of Causal Inference, Structural Causal Models, Machine Learning, Applied Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

C-XGBoost: A tree boosting model for causal effect estimation

Mutual information-based neighbor selection method for causal effect estimation

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM

Integrating nearest neighbors on neural network models for treatment effect estimation

An evaluation framework for comparing causal inference models

An improved neural network model for treatment effect estimation

An advanced CNN-LSTM model for cryptocurrency forecasting

Υποδείγματα αποτίμησης επιτοκιακών παραγώγων

Niki Kiriakidou Information

University	Harokopio University
Position	___
Citations(all)	194
Citations(since 2020)	191
Cited By	25
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Harokopio University
Google Scholar	View Google Scholar Profile

Niki Kiriakidou Skills & Research Interests

Causal Inference

Structural Causal Models

Machine Learning

Applied Statistics

Top articles of Niki Kiriakidou

Title	Journal	Author(s)	Publication Date
C-XGBoost: A tree boosting model for causal effect estimation	arXiv preprint arXiv:2404.00751	Niki Kiriakidou Ioannis E Livieris Christos Diou	2024/3/31
Mutual information-based neighbor selection method for causal effect estimation	Neural Computing and Applications	Niki Kiriakidou Ioannis E Livieris Panagiotis Pintelas	2024/2/23
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM	Journal of Imaging	Ioannis E Livieris Emmanuel Pintelas Niki Kiriakidou Panagiotis Pintelas	2023/10/14
Integrating nearest neighbors on neural network models for treatment effect estimation	arXiv preprint arXiv:2305.06789	Niki Kiriakidou Christos Diou	2023/5/11
An evaluation framework for comparing causal inference models		Niki Kiriakidou Christos Diou	2022/9/7
An improved neural network model for treatment effect estimation		Niki Kiriakidou Christos Diou	2022/6/10
An advanced CNN-LSTM model for cryptocurrency forecasting		IE Livieris N Kiriakidou S Stavroyiannis P Pintelas	2021
Υποδείγματα αποτίμησης επιτοκιακών παραγώγων		Νίκη Κυριακίδου	2020/12
An advanced deep learning model for short-term forecasting US natural gas price and movement		Ioannis E Livieris Emmanuel Pintelas Niki Kiriakidou Stavros Stavroyiannis	2020