Search Results - subject:"Machine Learning"

Identifying financial statement fraud with decision rules obtained from Modified Random Forest

An, Byungdae; Suh, Yongmoo - In: Data Technologies and Applications 54 (2020) 2, pp. 235-255

Purpose Financial statement fraud (FSF) committed by companies implies the current status of the companies may not be healthy. As such, it is important to detect FSF, since such companies tend to conceal bad information, which causes a great loss to various stakeholders. Thus, the objective of...

Persistent link: https://www.econbiz.de/10014712780

The Use of Logic Regression in Epidemiologic Studies to Investigate Multiple Binary Exposures: An Example of Occupation History and Amyotrophic Lateral Sclerosis

Bellavia, Andrea; Rotem, Ran S.; Dickerson, Aisha S.; … - In: Epidemiologic Methods 9 (2020) 1

-dimensional exposures, common statistical methods should be integrated with machine learning techniques that may better account for complex … of machine learning techniques when evaluating large-dimensional epidemiologic data, as well as advocate the need of …

Persistent link: https://www.econbiz.de/10014590654

Discovering “Insider IT Sabotage” based on human behaviour

Michael, Antonia; Eloff, Jan - In: Information & Computer Security 28 (2020) 4, pp. 575-589

set is classified according to behavioural characteristics of these employees. Machine learning algorithms are used to … output of the machine learning classifier depends mainly on the depth and quality of the phrases and behaviour analysis …

Persistent link: https://www.econbiz.de/10014754921

Target dynamic grasping during mobile robot movement based on learning methods

Li, Enbo; Feng, Haibo; Zhai, Yanwu; Haitao, Zhou; Xu, Li; … - In: Industrial Robot: the international journal of robotics … 48 (2020) 1, pp. 6-16

Purpose One of the development trends of robots is to enable robots to have the ability of anthropomorphic manipulation. Grasping is the first step of manipulation. For mobile manipulator robots, grasping a target during the movement process is extremely challenging, which requires the robots to...

Persistent link: https://www.econbiz.de/10014835344

Comparative study of various machine learning algorithms and Denavit–Hartenberg approach for the inverse kinematic solutions in a 3- PP SS parallel manipulator

Thomas, Mervin Joe; Sanjeev, Mithun M.; Sudheer, A.P.; … - In: Industrial Robot: the international journal of robotics … 47 (2020) 5, pp. 683-695

Purpose This paper aims to use different machine learning (ML) algorithms for the prediction of inverse kinematic …

Persistent link: https://www.econbiz.de/10014836040

Supporting customer-oriented marketing with artificial intelligence : automatically quantifying customer needs from social media

Kühl, Niklas; Mühlthaler, Marius; Goutier, Marc - In: Electronic markets : EM ; the international journal of … 30 (2020) 2, pp. 351-367

Persistent link: https://www.econbiz.de/10012419512

Assessing the drivers of machine learning business value

Reis, Carolina; Ruivo, Pedro; Oliveira, Tiago; … - In: Journal of business research : JBR 117 (2020), pp. 232-243

Persistent link: https://www.econbiz.de/10012285944

Selection of time instants and intervals with Support Vector Regression for multivariate functional data

Blanquero, Rafael; Carrizosa, Emilio; Jiménez-Cordero, … - In: Computers & operations research : and their … 123 (2020), pp. 1-24

Persistent link: https://www.econbiz.de/10012286336

Exuberance in financial markets : evidence from machine learning algorithms

Viebig, Jan - In: The journal of behavioral finance : a publication of … 21 (2020) 2, pp. 128-135

Persistent link: https://www.econbiz.de/10012287182

Asset returns in deep learning methods : an empirical analysis on SSE 50 and CSI 300

Li, Weiping; Mei, Feng - In: Research in international business and finance 54 (2020), pp. 1-21

Persistent link: https://www.econbiz.de/10012581422