Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach

Khan, Ameer Tamoor; Cao, Xinwei; Li, Shuai; Katsikis, Vasilios; Brajević, Ivona; Stanimirović, Predrag

doi:10.1016/j.eswa.2021.116148

Repository
Journal articles
Fraud detection in publicly traded U.S firms using Beetle…

Journal article M21a, paper in an international journal of exceptional value

Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach

Ameer Tamoor Khan, Xinwei Cao, Shuai Li, Vasilios Katsikis, Ivona Brajević, Predrag Stanimirović

Expert Systems with Applications, 191, 2022

No full text in the repository.

View at the publisher (DOI)

Cite

Khan, A. T., Cao, X., Li, S., Katsikis, V., Brajević, I., & Stanimirović, P. (2022). Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach. Expert Systems with Applications, 191. https://doi.org/10.1016/j.eswa.2021.116148

@article{Khan2022Frauddetec,
  author       = {Khan, Ameer Tamoor  and  Cao, Xinwei and Li, Shuai and Katsikis, Vasilios and Brajevi{\'c}, Ivona and Stanimirovi{\'c}, Predrag},
  title        = {Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach},
  journal      = {Expert Systems with Applications},
  year         = {2022},
  volume       = {191},
  doi          = {10.1016/j.eswa.2021.116148},
  note         = {Available online}
}

TY  - JOUR
AU  - Khan, Ameer Tamoor
AU  - Cao, Xinwei
AU  - Li, Shuai
AU  - Katsikis, Vasilios
AU  - Brajević, Ivona
AU  - Stanimirović, Predrag
TI  - Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach
JO  - Expert Systems with Applications
PY  - 2022
VL  - 191
SN  - 0957-4174
DO  - 10.1016/j.eswa.2021.116148
UR  - https://nir.mef.edu.rs/repository/handle/ed4fbc02-911a-11ee-852a-b483510689d4
ER  -

373 views.

Details

Journal: Expert Systems with Applications
Volume: 191
Year: 2022
DOI: 10.1016/j.eswa.2021.116148
ISSN: 0957-4174

Conference paper M33
Evaluating the Execution Safety and SIMD Optimization Quality of LLM-Generated Modern C++ Code
Dušan Rajčević, Ivona Brajević, Goran Jocić
Banjaluka College, 237–252, 2026
Full text PDF DOI 10.7251/BLCZR0126237R
Journal article M22
Ensemble Learning with Systematic Hyperparameter Optimization for Urban-Bike-Sharing Demand Prediction
Ivona Brajević, Eva Tuba, Milan Tuba
Sustainability, 18(8), 3766, 2026
DOI 10.3390/su18083766
Conference paper M33
On Impact of Ensemble Strategies in Tabular Data Regression
Ivona Brajević, Una Tuba, Milan Tuba
IEEE, 1–6, 2026
DOI 10.1109/ISDFS69419.2026.11459038
Conference paper M33
Transfer Learning for Malware Detection Using RGB Binary Visualization: A Comparative Study
Eva Tuba, Ivona Brajević, Adis Alihodžić, Ana Trišović, Milan Tuba
IEEE, 1–6, 2026
DOI 10.1109/ISDFS69419.2026.11459039
Conference paper M33
Modeling Adaptive Onboarding Flows in Mobile Applications
Dušan Rajčević, Ivona Brajević, Francine Niedo
Belgrade: Faculty of Applied Management, Economics and Finance, 415–425, 2025
Full text PDF

Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach

Details

More by these authors

Evaluating the Execution Safety and SIMD Optimization Quality of LLM-Generated Modern C++ Code

Ensemble Learning with Systematic Hyperparameter Optimization for Urban-Bike-Sharing Demand Prediction

On Impact of Ensemble Strategies in Tabular Data Regression

Transfer Learning for Malware Detection Using RGB Binary Visualization: A Comparative Study

Modeling Adaptive Onboarding Flows in Mobile Applications