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A Survey of Predictive Modelling under Imbalanced Distributions
v1v2 (latest)

A Survey of Predictive Modelling under Imbalanced Distributions

7 May 2015
Paula Branco
Luís Torgo
Rita P. Ribeiro
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A Survey of Predictive Modelling under Imbalanced Distributions"

22 / 22 papers shown
Title
SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression
SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression
Shayan Alahyari
Mike Domaratzki
133
0
0
29 Apr 2025
Local distribution-based adaptive oversampling for imbalanced regression
Local distribution-based adaptive oversampling for imbalanced regression
Shayan Alahyari
Mike Domaratzki
35
1
0
19 Apr 2025
Context-Aware Trajectory Anomaly Detection
Context-Aware Trajectory Anomaly Detection
Haoji Hu
Jina Kim
Jinwei Zhou
Sofia Kirsanova
JangHyeon Lee
Yao-Yi Chiang
51
0
0
24 Oct 2024
Improving Online Bagging for Complex Imbalanced Data Stream
Improving Online Bagging for Complex Imbalanced Data Stream
Bartosz Przybyl
Jerzy Stefanowski
26
0
0
04 Oct 2024
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding
  of Turkish Indexical Pronouns in Indexical Shift Contexts
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts
Metehan Oguz
Yusuf Umut Ciftci
Yavuz Faruk Bakman
55
3
0
08 Jun 2024
Deep Similarity Learning Loss Functions in Data Transformation for Class
  Imbalance
Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance
Damian Horna
Mateusz Lango
Jerzy Stefanowski
43
1
0
16 Dec 2023
High Dimensional Binary Classification under Label Shift: Phase
  Transition and Regularization
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization
Jiahui Cheng
Minshuo Chen
Hao Liu
Tuo Zhao
Wenjing Liao
73
1
0
01 Dec 2022
The Influence of Multiple Classes on Learning Online Classifiers from
  Imbalanced and Concept Drifting Data Streams
The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams
A. Lipska
J. Stefanowski
AI4TS
47
1
0
15 Oct 2022
A Meta-level Analysis of Online Anomaly Detectors
A Meta-level Analysis of Online Anomaly Detectors
Antonios Ntroumpogiannis
Michail Giannoulis
Nikolaos Myrtakis
V. Christophides
Eric Simon
Ioannis Tsamardinos
105
14
0
13 Sep 2022
Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug
  Labeling to Enhance Product-Specific Guidance Assessment
Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment
Yiwen Shi
Jing Wang
Ping Ren
Taha ValizadehAslani
Yi Zhang
Meng Hu
Hualou Liang
AI4MHAAML
73
17
0
25 Jul 2022
Human-in-the-loop online multi-agent approach to increase
  trustworthiness in ML models through trust scores and data augmentation
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
M. Hodak
44
2
0
29 Apr 2022
Monitoring crop phenology with street-level imagery using computer
  vision
Monitoring crop phenology with street-level imagery using computer vision
R. d’Andrimont
M. Yordanov
Laura Martinez-Sanchez
M. Velde
48
25
0
16 Dec 2021
Cohort Characteristics and Factors Associated with Cannabis Use among
  Adolescents in Canada Using Pattern Discovery and Disentanglement Method
Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method
Peiyuan Zhou
A. Wong
Yang Yang
S. Leatherdale
Kate Battista
Z. Butt
George Michalopoulos
Helen H. Chen
13
0
0
03 Sep 2021
As easy as APC: overcoming missing data and class imbalance in time
  series with self-supervised learning
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
Fiorella Wever
Thomas Anderson Keller
L. Symul
Victor Garcia
SSLAI4TS
38
1
0
29 Jun 2021
Predictive Modeling of Hospital Readmission: Challenges and Solutions
Predictive Modeling of Hospital Readmission: Challenges and Solutions
Shuwen Wang
Xingquan Zhu
OOD
69
26
0
16 Jun 2021
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
Jinsung Yoon
Kihyuk Sohn
Chun-Liang Li
Sercan O. Arik
Chen-Yu Lee
Tomas Pfister
44
21
0
11 Jun 2021
Data-Efficient Classification of Radio Galaxies
Data-Efficient Classification of Radio Galaxies
Ashwin Samudre
L. George
Mahak Bansal
Y. Wadadekar
GNN
33
11
0
26 Nov 2020
Unsupervised Contextual Anomaly Detection using Joint Deep Variational
  Generative Models
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models
Yaniv Shulman
DRL
28
6
0
01 Apr 2019
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction
  in 5G
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G
Nils Strodthoff
B. Göktepe
Thomas Schierl
C. Hellge
Wojciech Samek
19
51
0
27 Jul 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
100
154
0
18 Jun 2018
UBL: an R package for Utility-based Learning
UBL: an R package for Utility-based Learning
Paula Branco
Rita P. Ribeiro
Luís Torgo
50
69
0
27 Apr 2016
Online Ensemble Learning for Imbalanced Data Streams
Online Ensemble Learning for Imbalanced Data Streams
Boyu Wang
Joelle Pineau
FedML
87
144
0
30 Oct 2013
1