FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise
Selection and Semi-Automatic Extraction Approaches

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches

26 March 2021

Angelos Chatzimparmpas

Rafael M. Martins

Kostiantyn Kucher

Andreas Kerren

Papers citing "FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches"

6 / 6 papers shown

Title
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design Qian Zhu Dakuo Wang Shuai Ma April Yi Wang Zixin Chen Udayan Khurana Xiaojuan Ma 44 1 0 23 May 2024
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 25 8 0 10 Aug 2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps Angelos Chatzimparmpas Rafael M. Martins A. Telea Andreas Kerren 16 1 0 31 Mar 2023
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 10 1 0 02 Oct 2022
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques Angelos Chatzimparmpas F. Paulovich Andreas Kerren 13 6 0 29 Mar 2022
AI Total: Analyzing Security ML Models with Imperfect Data in Production Awalin Sopan Konstantin Berlin 21 2 0 13 Oct 2021