Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods

Financial Distress Prediction ◽

Distress Prediction ◽

Management Factors

Machine learning methods for cyber security intrusion detection: Datasets and comparative study

Computer Networks ◽

10.1016/j.comnet.2021.107840 ◽

2021 ◽

Vol 188 ◽

pp. 107840

Author(s):

Ilhan Firat Kilincer ◽

Fatih Ertam ◽

Abdulkadir Sengur

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Cyber Security ◽

Learning Methods ◽

A comparative study of machine learning methods for ordinal classification with absolute and relative information

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107358 ◽

2021 ◽

pp. 107358

Author(s):

Mengzi Tang ◽

Raúl Pérez-Fernández ◽

Bernard De Baets

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽

Ordinal Classification ◽

Relative Information

Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods

Journal of the Operational Research Society ◽

10.1057/jors.2013.117 ◽

2014 ◽

Vol 65 (12) ◽

pp. 1905-1919 ◽

Cited By ~ 19

Author(s):

Jie Sun ◽

Zhiming Shang ◽

Hui Li

Keyword(s):

Comparative Study ◽

Financial Distress ◽

Ensemble Method ◽

Traditional Methods ◽

Financial Distress Prediction ◽

Distress Prediction

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - Lecture Notes in Computer Science ◽

A Comparative Study of Machine Learning Methods for Detecting Promoters in Bacterial DNA Sequences

10.1007/978-3-540-85984-0_115 ◽

2008 ◽

pp. 959-966 ◽

Cited By ~ 2

Author(s):

Leonardo G. Tavares ◽

Heitor S. Lopes ◽

Carlos R. Erig Lima

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Dna Sequences ◽

Learning Methods ◽

Bacterial Dna ◽

Advances in Intelligent Systems and Computing - Knowledge and Systems Engineering ◽

A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction

10.1007/978-3-319-11680-8_46 ◽

2015 ◽

pp. 577-588 ◽

Cited By ~ 9

Author(s):

Duc-Hau Le ◽

Nguyen Xuan Hoai ◽

Yung-Keun Kwon

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Disease Gene ◽

Gene Prediction ◽

Learning Methods ◽

Disease Gene Prediction ◽

A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites

Integrating Materials and Manufacturing Innovation ◽

10.1007/s40192-019-00129-4 ◽

2019 ◽

Vol 8 (2) ◽

pp. 67-81 ◽

Cited By ~ 7

Author(s):

Patxi Fernandez-Zelaia ◽

Yuksel C. Yabansu ◽

Surya R. Kalidindi

Keyword(s):

Machine Learning ◽

Comparative Study ◽

High Contrast ◽

Structure Property ◽

Learning Methods ◽

Elastic Composites

Comparative Study of Machine Learning Methods for In-Vehicle Intrusion Detection

Computer Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-12786-2_6 ◽

2019 ◽

pp. 85-101 ◽

Cited By ~ 6

Author(s):

Ivo Berger ◽

Roland Rieke ◽

Maxim Kolomeets ◽

Andrey Chechulin ◽

Igor Kotenko

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Learning Methods ◽

A comparative study between popular statistical and machine learning methods for simulating volume of landslides

CATENA ◽

10.1016/j.catena.2017.05.016 ◽

2017 ◽

Vol 157 ◽

pp. 213-226 ◽

Cited By ~ 54

Author(s):

Ataollah Shirzadi ◽

Himan Shahabi ◽

Kamran Chapi ◽

Dieu Tien Bui ◽

Binh Thai Pham ◽

...

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) ◽

Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods

10.1109/besc48373.2019.8963009 ◽

2019 ◽

Author(s):

Leonardo Felizardo ◽

Roberth Oliveira ◽

Emilio Del-Moral-Hernandez ◽

Fabio Cozman

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Comparative Study ◽

Recurrent Neural Networks ◽

Learning Methods ◽

Price Prediction ◽

A Comparative Study on Machine Learning Methods for On-board Satellite Image Classification

The Proceedings of the Space Engineering Conference ◽

10.1299/jsmesec.2016.25.1b1 ◽

2016 ◽

Vol 2016.25 (0) ◽

pp. 1B1

Author(s):

Kei Ohta ◽

Takehiko Koike ◽

Yoichi Yatsu ◽

Saburo Matunaga

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Image Classification ◽

Satellite Image ◽

Learning Methods ◽

Satellite Image Classification