ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.05571
  4. Cited By
On Model Evaluation under Non-constant Class Imbalance
v1v2 (latest)

On Model Evaluation under Non-constant Class Imbalance

International Conference on Conceptual Structures (ICCS), 2020
15 January 2020
J. Brabec
Tomás Komárek
Vojtech Franc
Lukás Machlica
ArXiv (abs)PDFHTML

Papers citing "On Model Evaluation under Non-constant Class Imbalance"

7 / 7 papers shown
Financial Fine-tuning a Large Time Series Model
Financial Fine-tuning a Large Time Series ModelIEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2024
Xinghong Fu
Masanori Hirano
Kentaro Imajo
AI4TSAIFin
396
6
0
13 Dec 2024
Learning Invariant Representations with a Nonparametric Nadaraya-Watson
  Head
Learning Invariant Representations with a Nonparametric Nadaraya-Watson HeadNeural Information Processing Systems (NeurIPS), 2023
Alan Q. Wang
Minh Nguyen
M. Sabuncu
CMLOOD
286
1
0
23 Sep 2023
A Modular and Adaptive System for Business Email Compromise Detection
A Modular and Adaptive System for Business Email Compromise Detection
J. Brabec
F. Srajer
Radek Starosta
Tomás Sixta
Marc Dupont
...
Jirí Mensík
Florian Becker
Jakub Boros
Tomás Pop
Pavel Novák
175
5
0
21 Aug 2023
Benchmark of Data Preprocessing Methods for Imbalanced Classification
Benchmark of Data Preprocessing Methods for Imbalanced Classification
Radovan Haluška
J. Brabec
Tomás Komárek
175
3
0
06 Mar 2023
Active Learning Framework to Automate NetworkTraffic Classification
Active Learning Framework to Automate NetworkTraffic Classification
Jaroslav Pesek
Dominik Soukup
T. Čejka
239
1
0
26 Oct 2022
Learning image representations for anomaly detection: application to
  discovery of histological alterations in drug development
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
I. Zingman
B. Stierstorfer
C. Lempp
Fabian Heinemann
OODMedIm
510
24
0
14 Oct 2022
Fairness in Forecasting and Learning Linear Dynamical Systems
Fairness in Forecasting and Learning Linear Dynamical SystemsAAAI Conference on Artificial Intelligence (AAAI), 2020
Quan-Gen Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
341
10
0
12 Jun 2020
1
Page 1 of 1