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Automated data processing and feature engineering for deep learning and
  big data applications: a survey

Automated data processing and feature engineering for deep learning and big data applications: a survey

18 March 2024
A. Mumuni
F. Mumuni
    TPM
ArXivPDFHTML

Papers citing "Automated data processing and feature engineering for deep learning and big data applications: a survey"

24 / 24 papers shown
Title
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning
Yousef Koka
David Selby
Gerrit Großmann
Sebastian Vollmer
AI4TS
74
0
0
06 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
40
5
0
17 Jan 2025
Large Language Models for Constructing and Optimizing Machine Learning
  Workflows: A Survey
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu
Hengyu You
Jian Cao
Muran Yu
Haoran Fan
Shiyou Qian
LM&MA
AI4CE
42
3
0
11 Nov 2024
Large Language Models Engineer Too Many Simple Features For Tabular Data
Large Language Models Engineer Too Many Simple Features For Tabular Data
Jaris Küken
Lennart Purucker
Frank Hutter
53
2
0
23 Oct 2024
Unsupervised Generative Feature Transformation via Graph Contrastive
  Pre-training and Multi-objective Fine-tuning
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
Wangyang Ying
Dongjie Wang
Xuanming Hu
Yuanchun Zhou
Charu C. Aggarwal
Yanjie Fu
35
9
0
27 May 2024
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
S. Ubani
S. Polat
Rodney D. Nielsen
84
51
0
27 Apr 2023
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
Xiaoyan Qian
Chang Liu
Xiaojuan Qi
Siew-Chong Tan
E. Lam
Ngai Wong
3DPC
ViT
38
6
0
27 Mar 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video
  Generation
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Zhengxiong Luo
Dayou Chen
Yingya Zhang
Yan Huang
Liangsheng Wang
Yujun Shen
Deli Zhao
Jinren Zhou
Tien-Ping Tan
DiffM
VGen
132
215
0
15 Mar 2023
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
186
1,098
0
10 Sep 2022
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid
  Nodules on Ultrasound: An Artificial Intelligence Approach for Automating
  Image Annotation
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation
Jikai Zhang
Maciej Mazurowski
B. Allen
B. Wildman-Tobriner
21
6
0
28 Jun 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for
  Binaural Audio Synthesis
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng
Zehua Chen
Junliang Guo
Haohe Liu
Jiawei Chen
...
Lei He
Xiang-Yang Li
Tao Qin
Sheng Zhao
Tie-Yan Liu
DiffM
48
58
0
30 May 2022
Autoregressive Image Generation using Residual Quantization
Autoregressive Image Generation using Residual Quantization
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
VGen
168
324
0
03 Mar 2022
Missing Data Infill with Automunge
Missing Data Infill with Automunge
Nicholas J. Teague
16
3
0
19 Feb 2022
An AutoML-based Approach to Multimodal Image Sentiment Analysis
An AutoML-based Approach to Multimodal Image Sentiment Analysis
Vasco Lopes
António Gaspar
Luís A. Alexandre
João Paulo Cordeiro
44
20
0
16 Feb 2021
Memorization vs. Generalization: Quantifying Data Leakage in NLP
  Performance Evaluation
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
Aparna Elangovan
Jiayuan He
Karin Verspoor
TDI
FedML
156
89
0
03 Feb 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
55
56
0
05 Jan 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,798
0
14 Dec 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
84
576
0
13 Mar 2020
SAFE: Scalable Automatic Feature Engineering Framework for Industrial
  Tasks
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Qitao Shi
Ya-Lin Zhang
Longfei Li
Xinxing Yang
Meng Li
Jun Zhou
23
29
0
05 Mar 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists'
  Perceptions of Automated AI
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Dakuo Wang
Justin D. Weisz
Michael J. Muller
Parikshit Ram
Werner Geyer
Casey Dugan
Y. Tausczik
Horst Samulowitz
Alexander G. Gray
156
312
0
05 Sep 2019
ICLabel: An automated electroencephalographic independent component
  classifier, dataset, and website
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
L. Pion-Tonachini
Ken Kreutz-Delgado
S. Makeig
14
1,267
0
22 Jan 2019
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
111
462
0
09 Jun 2018
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,284
0
05 Jun 2015
Brain tumor MRI image classification with feature selection and
  extraction using linear discriminant analysis
Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis
V.P.Gladis
Dr.S.Palani
30
134
0
10 Aug 2012
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