Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Al-Sagheer, Mohammed Muanis I.
and
Alrufaye, Faiez Musa Lahmood
2022.
Data Mining and RBF Neural Networks to Analyze Data from COVID-19 Patients and Predict New Cases Based on Symptoms.
p.
1.
Owhadi, Houman
2022.
Computational graph completion.
Research in the Mathematical Sciences,
Vol. 9,
Issue. 2,
Wu, Sihong
Huang, Qinghua
and
Zhao, Li
2022.
A deep learning-based network for the simulation of airborne electromagnetic responses.
Geophysical Journal International,
Vol. 233,
Issue. 1,
p.
253.
Deng, Wei
Lin, Guang
and
Liang, Faming
2022.
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization.
Statistics and Computing,
Vol. 32,
Issue. 4,
Danilova, Marina
Dvurechensky, Pavel
Gasnikov, Alexander
Gorbunov, Eduard
Guminov, Sergey
Kamzolov, Dmitry
and
Shibaev, Innokentiy
2022.
High-Dimensional Optimization and Probability.
Vol. 191,
Issue. ,
p.
79.
Ariosto, S.
Pacelli, R.
Ginelli, F.
Gherardi, M.
and
Rotondo, P.
2022.
Universal mean-field upper bound for the generalization gap of deep neural networks.
Physical Review E,
Vol. 105,
Issue. 6,
Chicco, Davide
Oneto, Luca
Tavazzi, Erica
and
Ouellette, Francis
2022.
Eleven quick tips for data cleaning and feature engineering.
PLOS Computational Biology,
Vol. 18,
Issue. 12,
p.
e1010718.
Bradley, Arwen V
Gomez-Uribe, Carlos A
and
Vuyyuru, Manish Reddy
2022.
Shift-curvature, SGD, and generalization.
Machine Learning: Science and Technology,
Vol. 3,
Issue. 4,
p.
045002.
Dong, Xin
Zhang, Sai Qian
Li, Ang
and
Kung, H.T.
2022.
Computer Vision – ECCV 2022.
Vol. 13686,
Issue. ,
p.
165.
Kou, Lei
Sysyn, Mykola
Liu, Jianxing
Nabochenko, Olga
Han, Yue
Peng, Dai
and
Fischer, Szabolcs
2022.
Evolution of Rail Contact Fatigue on Crossing Nose Rail Based on Long Short-Term Memory.
Sustainability,
Vol. 14,
Issue. 24,
p.
16565.
Li, Yuchen
Xiong, Haoyi
Kong, Linghe
Zhang, Rui
Xu, Fanqin
Chen, Guihai
and
Li, Minglu
2023.
MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking.
IEEE Transactions on Services Computing,
Vol. 16,
Issue. 6,
p.
4467.
Gollakota, Aravind
Klivans, Adam R.
and
Kothari, Pravesh K.
2023.
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity.
p.
1657.
Li, Yuchen
Xiong, Haoyi
Kong, Linghe
Bian, Jiang
Wang, Shuaiqiang
Chen, Guihai
and
Yin, Dawei
2023.
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.
p.
1.
Xu, Teng Andrea
2023.
Tail Recovery.
SSRN Electronic Journal,
Zhou, Can
Shaikh, Razin A.
Li, Yiran
and
Farjudian, Amin
2023.
A domain-theoretic framework for robustness analysis of neural networks.
Mathematical Structures in Computer Science,
Vol. 33,
Issue. 2,
p.
68.
Kelly, Bryan T.
Kuznetsov, Boris
Malamud, Semyon
and
Xu, Teng Andrea
2023.
Deep Learning from Implied Volatility Surfaces.
SSRN Electronic Journal,
Han, Jinhui
Hu, Ming
and
Shen, Guohao
2023.
Deep Neural Newsvendor.
SSRN Electronic Journal,
Golubev, G. K.
2023.
Overparameterized Maximum Likelihood Tests for Detection of Sparse Vectors.
Problems of Information Transmission,
Vol. 59,
Issue. 1,
p.
41.
Zhai, Zheng-Meng
Moradi, Mohammadamin
Kong, Ling-Wei
and
Lai, Ying-Cheng
2023.
Detecting Weak Physical Signal from Noise: A Machine-Learning Approach with Applications to Magnetic-Anomaly-Guided Navigation.
Physical Review Applied,
Vol. 19,
Issue. 3,
Mattsson, Per
Zachariah, Dave
and
Stoica, Petre
2023.
Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes].
IEEE Signal Processing Magazine,
Vol. 40,
Issue. 3,
p.
39.