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Recent Research Advances on Interactive Machine Learning

Recent Research Advances on Interactive Machine Learning

12 November 2018
Liu Jiang
Shixia Liu
Changjian Chen
    AI4CE
    VLM
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Papers citing "Recent Research Advances on Interactive Machine Learning"

15 / 15 papers shown
Title
A Multimedia Analytics Model for the Foundation Model Era
A Multimedia Analytics Model for the Foundation Model Era
M. Worring
Jan Zahálka
Stef van den Elzen
M. T. Fischer
Daniel A. Keim
VGen
HAI
40
0
0
08 Apr 2025
Visualization for Recommendation Explainability: A Survey and New
  Perspectives
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti
Mouadh Guesmi
Arham Muslim
XAI
HAI
LRM
33
5
0
19 May 2023
Lessons from the Development of an Anomaly Detection Interface on the
  Mars Perseverance Rover using the ISHMAP Framework
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework
Austin P. Wright
P. Nemere
A. Galvin
Duen Horng Chau
Scott Davidoff
26
6
0
14 Feb 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
31
39
0
07 Dec 2022
Reconnoitering the class distinguishing abilities of the features, to know them better
Payel Sadhukhan
S. Palit
Kausik Sengupta
29
0
0
23 Nov 2022
Towards Visual Explainable Active Learning for Zero-Shot Classification
Towards Visual Explainable Active Learning for Zero-Shot Classification
Shichao Jia
Zeyu Li
Nuo Chen
Jiawan Zhang
VLM
30
23
0
15 Aug 2021
Interactive Dimensionality Reduction for Comparative Analysis
Interactive Dimensionality Reduction for Comparative Analysis
Takanori Fujiwara
Xinhai Wei
Jian Zhao
K. Ma
27
30
0
29 Jun 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists
  for Building NLP Models
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park
A. Wang
B. Kawas
Q. V. Liao
David Piorkowski
Marina Danilevsky
66
55
0
29 Jan 2021
P6: A Declarative Language for Integrating Machine Learning in Visual
  Analytics
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics
J. Li
K. Ma
13
16
0
03 Sep 2020
Diagnosing Concept Drift with Visual Analytics
Diagnosing Concept Drift with Visual Analytics
Weikai Yang
Zhuguo Li
Mengchen Liu
Yafeng Lu
Kelei Cao
Ross Maciejewski
Shixia Liu
47
33
0
28 Jul 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
Changjian Chen
Jun Yuan
Yafeng Lu
Yang Liu
Hang Su
Songtao Yuan
Shixia Liu
OODD
26
63
0
08 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao
Mengchen Liu
Hang Su
Jing Wu
Jun Zhu
Shixia Liu
AAML
65
89
0
26 Jan 2020
Semantic Concept Spaces: Guided Topic Model Refinement using
  Word-Embedding Projections
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections
Mennatallah El-Assady
Rebecca Kehlbeck
C. Collins
Daniel A. Keim
Oliver Deussen
27
43
0
01 Aug 2019
explAIner: A Visual Analytics Framework for Interactive and Explainable
  Machine Learning
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
Thilo Spinner
U. Schlegel
H. Schäfer
Mennatallah El-Assady
HAI
20
234
0
29 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative
  Semantic Inference
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Sebastian Gehrmann
Hendrik Strobelt
Robert Krüger
Hanspeter Pfister
Alexander M. Rush
HAI
21
57
0
24 Jul 2019
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