ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.01672
  4. Cited By
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary
  Label-Imbalanced Classification with XGBoost

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

5 August 2019
Chen Wang
Chengyuan Deng
Suzhen Wang
ArXivPDFHTML

Papers citing "Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost"

17 / 17 papers shown
Title
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
Markus Haug
Gissel Velarde
28
0
0
26 Apr 2025
Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment
Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment
Gissel Velarde
Michael Weichert
Anuj Deshmunkh
Sanjay Deshmane
Anindya Sudhir
K. Sharma
Vaibhav Joshi
24
3
0
25 Apr 2025
ML2^22Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models
JooHyoung Cha
Munyoung Lee
Jinse Kwon
Jubin Lee
Jemin Lee
Yongin Kwon
48
0
0
16 Nov 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of
  Class-Balanced Loss Functions
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo
Yuan Yuan
Shixin Xu
AI4CE
39
1
0
19 Jul 2024
Classification Modeling with RNN-Based, Random Forest, and XGBoost for
  Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
Deri Siswara
A. M. Soleh
A. Wigena
20
0
0
12 Jun 2024
An Explainable Machine Learning Framework for the Accurate Diagnosis of
  Ovarian Cancer
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
Asif Newaz
Abdullah Taharat
Md Sakibul Islam
A.G.M.Fuad.Hasan Akanda
24
3
0
11 Dec 2023
Skew Probabilistic Neural Networks for Learning from Imbalanced Data
Skew Probabilistic Neural Networks for Learning from Imbalanced Data
Shraddha M. Naik
Tanujit Chakraborty
Abdenour Hadid
Bibhas Chakraborty
26
0
0
10 Dec 2023
Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining
  Opportunity and Embedding Feature Imbalance
Few-shot 1/a\mathbf{1/a}1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance
Takato Yasuno
AI4TS
29
0
0
24 Jul 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang
Fengrui Hua
Zi-Chao Gao
P. Zhao
Jia Li
27
55
0
21 Jun 2023
A review of ensemble learning and data augmentation models for class
  imbalanced problems: combination, implementation and evaluation
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
A. Khan
Omkar Chaudhari
Rohitash Chandra
36
166
0
06 Apr 2023
A Dependable Hybrid Machine Learning Model for Network Intrusion
  Detection
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Md. Alamin Talukder
Khondokar Fida Hasan
Md. Manowarul Islam
Md. Ashraf Uddin
Arnisha Akhter
Mohammand Abu Yousuf
Fares Alharbi
M. Moni
32
153
0
08 Dec 2022
Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and
  Hard Voting Ensemble Method
Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method
Paria Ghaheri
H. Nasiri
Ahmadreza Shateri
Arman Homafar
24
15
0
03 Oct 2022
Under-bagging Nearest Neighbors for Imbalanced Classification
Under-bagging Nearest Neighbors for Imbalanced Classification
H. Hang
Yuchao Cai
Hanfang Yang
Zhouchen Lin
43
12
0
01 Sep 2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in
  One-Shot
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
Jiarui Cai
Yizhou Wang
Lei Li
OODD
21
134
0
05 Aug 2021
Imbalanced Image Classification with Complement Cross Entropy
Imbalanced Image Classification with Complement Cross Entropy
Yechan Kim
Younkwan Lee
M. Jeon
15
63
0
04 Sep 2020
Distance Correlation Sure Independence Screening for Accelerated Feature
  Selection in Parkinson's Disease Vocal Data
Distance Correlation Sure Independence Screening for Accelerated Feature Selection in Parkinson's Disease Vocal Data
Daniel H Schellhas
Bishal Neupane
Deepak Thammineni
Bhargav Kanumuri
Robert C. Green
14
3
0
23 Jun 2020
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data
  Classification
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Chen Wang
Qin Yu
Kai Zhou
D. Hui
Xiaofeng Gong
Ruisen Luo
15
22
0
09 Aug 2019
1