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FsNet: Feature Selection Network on High-dimensional Biological Data
v1v2v3 (latest)

FsNet: Feature Selection Network on High-dimensional Biological Data

IEEE International Joint Conference on Neural Network (IJCNN), 2020
23 January 2020
Dinesh Singh
Héctor Climente-González
Mathis Petrovich
Eiryo Kawakami
M. Yamada
ArXiv (abs)PDFHTML

Papers citing "FsNet: Feature Selection Network on High-dimensional Biological Data"

25 / 25 papers shown
Unveiling the Power of Sparse Neural Networks for Feature Selection
Unveiling the Power of Sparse Neural Networks for Feature SelectionEuropean Conference on Artificial Intelligence (ECAI), 2024
Zahra Atashgahi
Tennison Liu
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
M. Schaar
408
7
0
08 Aug 2024
Conditional Gumbel-Softmax for constrained feature selection with
  application to node selection in wireless sensor networks
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
Thomas Strypsteen
Alexander Bertrand
178
2
0
03 Jun 2024
Domain adaptation in small-scale and heterogeneous biological datasets
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji
Martin C. Liu
T. Korem
Megan A. K. Peters
213
36
0
29 May 2024
A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA
  Datasets
A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA DatasetsInternational Conference on Conceptual Structures (ICCS), 2024
Karim Salta
T. Ghosh
Michael Kirby
262
0
0
04 May 2024
A Comprehensive Survey for Hyperspectral Image Classification: The
  Evolution from Conventional to Transformers
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers
Muhammad Ahmad
Salvatore Distifano
Adil Mehmood Khan
Manuel Mazzara
Chenyu Li
Jing Yao
Hao Li
Jagannath Aryal
Gemine Vivone
Danfeng Hong
539
52
0
23 Apr 2024
Genetic Programming for Explainable Manifold Learning
Genetic Programming for Explainable Manifold Learning
Ben Cravens
Andrew Lensen
Paula Maddigan
Bing Xue
276
3
0
21 Mar 2024
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a
  Concave Surface
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
Sajad Salavatidezfouli
Saeid Rakhsha
Armin Sheidani
G. Stabile
G. Rozza
AI4CE
163
3
0
16 Feb 2024
Deep Learning for Efficient GWAS Feature Selection
Deep Learning for Efficient GWAS Feature Selection
Kexuan Li
160
0
0
22 Dec 2023
Enhancing Representation Learning on High-Dimensional, Small-Size
  Tabular Data: A Divide and Conquer Method with Ensembled VAEs
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs
Navindu Leelarathna
Andrei Margeloiu
M. Jamnik
Nikola Simidjievski
DRL
229
1
0
27 Jun 2023
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection
T. Ghosh
Michael Kirby
Karim Karimov
261
0
0
07 Jun 2023
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder
T. Ghosh
Michael Kirby
258
1
0
07 Jun 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks
SLM: End-to-end Feature Selection via Sparse Learnable Masks
Yihe Dong
Sercan O. Arik
258
3
0
06 Apr 2023
How good Neural Networks interpretation methods really are? A
  quantitative benchmark
How good Neural Networks interpretation methods really are? A quantitative benchmark
Antoine Passemiers
Pietro Folco
D. Raimondi
G. Birolo
Yves Moreau
P. Fariselli
FAtt
164
2
0
05 Apr 2023
Supervised Feature Selection with Neuron Evolution in Sparse Neural
  Networks
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Zahra Atashgahi
Xuhao Zhang
Neil Kichler
Shiwei Liu
Lu Yin
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
315
16
0
10 Mar 2023
Weight Predictor Network with Feature Selection for Small Sample Tabular
  Biomedical Data
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical DataAAAI Conference on Artificial Intelligence (AAAI), 2022
Andrei Margeloiu
Nikola Simidjievski
Pietro Lio
M. Jamnik
227
18
0
28 Nov 2022
Where to Pay Attention in Sparse Training for Feature Selection?
Where to Pay Attention in Sparse Training for Feature Selection?Neural Information Processing Systems (NeurIPS), 2022
Ghada Sokar
Zahra Atashgahi
Mykola Pechenizkiy
Decebal Constantin Mocanu
348
24
0
26 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small
  High-Dimensional Tabular Data
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu
Nikola Simidjievski
Pietro Lio
M. Jamnik
DDAI4CE
481
6
0
11 Nov 2022
Information Entropy Initialized Concrete Autoencoder for Optimal Sensor
  Placement and Reconstruction of Geophysical Fields
Information Entropy Initialized Concrete Autoencoder for Optimal Sensor Placement and Reconstruction of Geophysical Fields
Nikita A. Turko
A. Lobashev
K. Ushakov
M. Kaurkin
R. Ibrayev
142
1
0
28 Jun 2022
Deep Feature Screening: Feature Selection for Ultra High-Dimensional
  Data via Deep Neural Networks
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural NetworksNeurocomputing (Neurocomputing), 2022
Kexuan Li
Fangfang Wang
Lingli Yang
Ruiqi Liu
374
61
0
04 Apr 2022
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection
T. Ghosh
Michael Kirby
280
0
0
30 Jan 2022
Few-shot Learning for Unsupervised Feature Selection
Few-shot Learning for Unsupervised Feature Selection
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
SSL
201
6
0
02 Jul 2021
Top-$k$ Regularization for Supervised Feature Selection
Top-kkk Regularization for Supervised Feature Selection
Xinxing Wu
Q. Cheng
199
1
0
04 Jun 2021
End-to-end learnable EEG channel selection for deep neural networks with
  Gumbel-softmax
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmaxJournal of Neural Engineering (J. Neural Eng.), 2021
Thomas Strypsteen
Alexander Bertrand
312
69
0
11 Feb 2021
Quick and Robust Feature Selection: the Strength of Energy-efficient
  Sparse Training for Autoencoders
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for AutoencodersMachine-mediated learning (ML), 2020
Zahra Atashgahi
Ghada Sokar
T. Lee
Elena Mocanu
Decebal Constantin Mocanu
Raymond N. J. Veldhuis
Mykola Pechenizkiy
477
49
0
01 Dec 2020
Revealing the Structure of Deep Neural Networks via Convex Duality
Revealing the Structure of Deep Neural Networks via Convex DualityInternational Conference on Machine Learning (ICML), 2020
Tolga Ergen
Mert Pilanci
MLT
537
77
0
22 Feb 2020
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