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Interactive Elicitation of Knowledge on Feature Relevance Improves
  Predictions in Small Data Sets

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

7 December 2016
L. Micallef
Iiris Sundin
Pekka Marttinen
Muhammad Ammad-ud-din
Tomi Peltola
Marta Soare
Giulio Jacucci
Samuel Kaski
ArXivPDFHTML

Papers citing "Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets"

4 / 4 papers shown
Title
The State of the Art in Enhancing Trust in Machine Learning Models with
  the Use of Visualizations
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
26
160
0
22 Dec 2022
HEIDL: Learning Linguistic Expressions with Deep Learning and
  Human-in-the-Loop
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop
Yiwei Yang
Eser Kandogan
Yunyao Li
Walter S. Lasecki
Prithviraj Sen
VLM
19
11
0
25 Jul 2019
Improving drug sensitivity predictions in precision medicine through
  active expert knowledge elicitation
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Iiris Sundin
Tomi Peltola
M. M. Majumder
Pedram Daee
Marta Soare
Homayun Afrabandpey
C. Heckman
Samuel Kaski
Pekka Marttinen
15
24
0
09 May 2017
Knowledge Elicitation via Sequential Probabilistic Inference for
  High-Dimensional Prediction
Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction
Pedram Daee
Tomi Peltola
Marta Soare
Samuel Kaski
14
33
0
10 Dec 2016
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