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Big Universe, Big Data: Machine Learning and Image Analysis for
  Astronomy

Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy

15 April 2017
Jan Kremer
Kristoffer Stensbo-Smidt
Fabian Gieseke
K. S. Pedersen
Christian Igel
ArXiv (abs)PDFHTML

Papers citing "Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy"

12 / 12 papers shown
Title
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits
Satyapreet Singh Yadav
Bikram Pradhan
Kenil Rajendrabhai Ajudiya
T. S. Kumar
Nirupam Roy
Andre van Schaik
Chetan Singh Thakur
60
0
0
20 Mar 2025
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for
  Active Learning on Label Noise
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise
Moseli Motsóehli
Kyungim Baek
94
1
0
08 Nov 2024
Assistive Image Annotation Systems with Deep Learning and Natural
  Language Capabilities: A Review
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review
Moseli Motsóehli
VLM3DV
93
0
0
28 Jun 2024
Improving the performance of object detection by preserving label
  distribution
Improving the performance of object detection by preserving label distribution
Heewon Lee
Sangtae Ahn
ObjD
53
0
0
28 Aug 2023
Noise robust neural network architecture
Noise robust neural network architecture
Yunuo Xiong
Hongwei Xiong
63
1
0
16 May 2023
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With
  Multiple Colour Spaces
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces
Yevonnael Andrew
70
1
0
26 Mar 2023
Intelligent Computing: The Latest Advances, Challenges and Future
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu
Ting Yu
Tao Xu
Hongyang Chen
Schahram Dustdar
...
Tariq S. Durrani
Huaimin Wang
Jiangxing Wu
Tongyi Zhang
Yunhe Pan
AI4CE
91
130
0
21 Nov 2022
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19
  Spike Sequences
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Sarwan Ali
M. Patterson
106
46
0
12 Sep 2021
$γ$-ABC: Outlier-Robust Approximate Bayesian Computation Based on a
  Robust Divergence Estimator
γγγ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa
Takeshi Teshima
Issei Sato
Masashi Sugiyama
94
0
0
13 Jun 2020
Physically interpretable machine learning algorithm on multidimensional
  non-linear fields
Physically interpretable machine learning algorithm on multidimensional non-linear fields
Rem-Sophia Mouradi
C. Goeury
O. Thual
F. Zaoui
P. Tassi
OOD
29
7
0
28 May 2020
Streaming Classification of Variable Stars
Streaming Classification of Variable Stars
Lukas Zorich
K. Pichara
P. Protopapas
58
12
0
04 Dec 2019
Collaborative Nested Sampling: Big Data vs. complex physical models
Collaborative Nested Sampling: Big Data vs. complex physical models
J. Buchner
74
103
0
14 Jul 2017
1