Evaluating Advanced Machine Learning Techniques for Pulsar Detection from HTRU Survey

被引:0
作者
Punia, Akhil [1 ]
Sardana, Ashish [1 ]
Subashini, Monica [1 ]
机构
[1] VIT Univ, Sch Elect Engn, Vellore, Tamil Nadu, India
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017) | 2017年
关键词
Machine Learning; HTRU; SVM; Random Forest; Xgboost; SMOTE; Neural Network); SELECTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
High Time Resolution Universe (HTRU) Survey was conducted to search for Pulsars and Fast Transients using the Parkes Telescope in Australia. Majority of the Pulsars detections were actually false positives caused by radio frequency interference (RFI) and noise. We have used state of the art Machine Learning techniques that have improved significantly in recent years to evaluate feature importance and compare the performances of different approaches to design a binary classifier that automatically labels real Pulsar candidates. We have tried to address the problem of class imbalance by using Synthetic minority oversampling technique (SMOTE) and optimized our models by hyper parameter tuning to maximize accuracy and the geometric mean.
引用
收藏
页码:470 / 474
页数:5
相关论文
共 50 条
  • [1] A Survey of Malware Detection Techniques based on Machine Learning
    El Merabet, Hoda
    Hajraoui, Abderrahmane
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (01) : 366 - 373
  • [2] Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques
    Ness, Stephanie
    Eswarakrishnan, Vishwanath
    Sridharan, Harish
    Shinde, Varun
    Janapareddy, Naga Venkata Prasad
    Dhanawat, Vineet
    IEEE ACCESS, 2025, 13 : 16133 - 16149
  • [3] A widespread survey on machine learning techniques and user substantiation methods for credit card fraud detection
    Berkmans T.J.
    Karthick S.
    International Journal of Business Intelligence and Data Mining, 2022, 22 (1-2): : 223 - 247
  • [4] A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection
    Trigka, Maria
    Dritsas, Elias
    SENSORS, 2025, 25 (01)
  • [5] A survey on advanced machine learning and deep learning techniques assisting in renewable energy generation
    Sri Revathi B.
    Environmental Science and Pollution Research, 2023, 30 : 93407 - 93421
  • [6] A survey on advanced machine learning and deep learning techniques assisting in renewable energy generation
    Revathi, B. Sri
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (41) : 93407 - 93421
  • [7] A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques
    Singh G.
    Khare N.
    International Journal of Computers and Applications, 2022, 44 (07) : 659 - 669
  • [8] Evaluating the Performance of Machine Learning Techniques for Cancer Detection and Diagnosis
    Sebastian, Anu Maria
    Peter, David
    INNOVATIVE DATA COMMUNICATION TECHNOLOGIES AND APPLICATION, 2020, 46 : 127 - 133
  • [9] Machine Learning techniques for an improved breast cancer detection
    Paraschiv, Elena-Anca
    Ovreiv, Elena
    ROMANIAN JOURNAL OF INFORMATION TECHNOLOGY AND AUTOMATIC CONTROL-REVISTA ROMANA DE INFORMATICA SI AUTOMATICA, 2020, 30 (02): : 67 - 80
  • [10] Survey of machine learning techniques for Arabic fake news detection
    Touahri, Ibtissam
    Mazroui, Azzeddine
    ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (06)