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. 1901.07329
  4. Cited By
The autofeat Python Library for Automated Feature Engineering and
  Selection

The autofeat Python Library for Automated Feature Engineering and Selection

22 January 2019
F. Horn
R. Pack
M. Rieger
ArXivPDFHTML

Papers citing "The autofeat Python Library for Automated Feature Engineering and Selection"

12 / 12 papers shown
Title
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Nanxu Gong
Xinyuan Wang
Wangyang Ying
Haoyue Bai
Sixun Dong
Haifeng Chen
Yanjie Fu
LLMAG
60
0
0
30 Apr 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
82
6
0
28 Feb 2025
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Dongjie Wang
Yanyong Huang
Wangyang Ying
Haoyue Bai
Nanxu Gong
...
Meng Xiao
Pengfei Wang
P. Wang
Hui Xiong
Yanjie Fu
LMTD
45
5
0
17 Jan 2025
Federated Automated Feature Engineering
Federated Automated Feature Engineering
Tom Overman
Diego Klabjan
FedML
72
1
0
05 Dec 2024
That Escalated Quickly: An ML Framework for Alert Prioritization
That Escalated Quickly: An ML Framework for Alert Prioritization
Ben U. Gelman
Salma Taoufiq
Tamás Vörös
Konstantin Berlin
16
7
0
13 Feb 2023
Self-Optimizing Feature Transformation
Self-Optimizing Feature Transformation
Meng Xiao
Dongjie Wang
Min-Ying Wu
Kunpeng Liu
Hui Xiong
Yuanchun Zhou
Yanjie Fu
33
3
0
16 Sep 2022
A Survey of Open Source Automation Tools for Data Science Predictions
A Survey of Open Source Automation Tools for Data Science Predictions
Nicholas Hoell
25
0
0
24 Aug 2022
MACFE: A Meta-learning and Causality Based Feature Engineering Framework
MACFE: A Meta-learning and Causality Based Feature Engineering Framework
Iván Reyes-Amezcua
Daniel Flores-Araiza
G. Ochoa-Ruiz
Andres Mendez-Vazquez
Eduardo Rodriguez-Tello
OOD
19
1
0
08 Jul 2022
Group-wise Reinforcement Feature Generation for Optimal and Explainable
  Representation Space Reconstruction
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction
Dongjie Wang
Yanjie Fu
Kunpeng Liu
Xiaolin Li
Yan Solihin
21
27
0
28 May 2022
FLAML: A Fast and Lightweight AutoML Library
FLAML: A Fast and Lightweight AutoML Library
Chi Wang
Qingyun Wu
Markus Weimer
Erkang Zhu
19
195
0
12 Nov 2019
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Distributed and parallel time series feature extraction for industrial
  big data applications
Distributed and parallel time series feature extraction for industrial big data applications
Maximilian Christ
A. Kempa-Liehr
M. Feindt
AI4TS
58
271
0
25 Oct 2016
1