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Deep Transparent Prediction through Latent Representation Analysis

Deep Transparent Prediction through Latent Representation Analysis

13 September 2020
D. Kollias
N. Bouas
Y. Vlaxos
V. Brillakis
M. Seferis
I. Kollia
L. Sukissian
J. Wingate
Stefanos D. Kollias
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Papers citing "Deep Transparent Prediction through Latent Representation Analysis"

15 / 15 papers shown
Title
COVID-19 Image Data Collection: Prospective Predictions Are the Future
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
55
779
0
22 Jun 2020
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food
  Packaging
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Mamatha Thota
Stefanos D. Kollias
M. Swainson
Georgios Leontidis
52
4
0
28 Jan 2020
A Unified Deep Learning Approach for Prediction of Parkinson's Disease
A Unified Deep Learning Approach for Prediction of Parkinson's Disease
J. Wingate
I. Kollia
L. Bidaut
Stefanos D. Kollias
MedIm
AI4CE
40
51
0
25 Nov 2019
Capsule Routing via Variational Bayes
Capsule Routing via Variational Bayes
Fabio De Sousa Ribeiro
Georgios Leontidis
Stefanos D. Kollias
71
83
0
27 May 2019
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
Shouyong Jiang
Marcus Kaiser
Shengxiang Yang
Stefanos D. Kollias
N. Krasnogor
39
45
0
06 Mar 2019
Predicting Parkinson's Disease using Latent Information extracted from
  Deep Neural Networks
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks
I. Kollia
A. Stafylopatis
Stefanos D. Kollias
38
34
0
23 Jan 2019
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
66
2,586
0
06 Aug 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
68
2,012
0
10 Feb 2018
Clustering with Deep Learning: Taxonomy and New Methods
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout
Vladimir Golkov
Yawar Siddiqui
Maximilian Strobel
Daniel Cremers
56
241
0
23 Jan 2018
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
60
875
0
15 Oct 2016
Deep Reconstruction-Classification Networks for Unsupervised Domain
  Adaptation
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
David Balduzzi
Wen Li
88
865
0
12 Jul 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
100
3,152
0
06 Jul 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,308
0
14 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
82
2,871
0
19 Nov 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
217
5,196
0
10 Feb 2015
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