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. 1911.11018
  4. Cited By
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced
  Classification

A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

25 November 2019
Xiaowei Gu
Plamen Angelov
Eduardo Soares
ArXiv (abs)PDFHTML

Papers citing "A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification"

4 / 4 papers shown
Title
Generalized Oversampling for Learning from Imbalanced datasets and
  Associated Theory
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory
Samuel Stocksieker
Denys Pommeret
Arthur Charpentier
39
1
0
05 Aug 2023
A Sociotechnical View of Algorithmic Fairness
A Sociotechnical View of Algorithmic Fairness
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
76
101
0
27 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural
  networks and discrete choice models
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Yunhan Zheng
Shenhao Wang
Jinhuan Zhao
HAI
92
29
0
25 Sep 2021
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network
  with Decision Tree Inference
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference
Plamen Angelov
Eduardo Soares
44
14
0
02 Feb 2020
1