Citation Impact
Citing Papers
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2010 Standout
Large Scale Distributed Deep Networks
2012 Standout
Quantum channel construction with circuit quantum electrodynamics
2017 StandoutNobel
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
Child witnesses to domestic violence: A meta-analytic review.
2003 Standout
Deep learning in neural networks: An overview
2014 Standout
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
2005 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Entropy and index for subfactors
1986
A survey of deep learning techniques for autonomous driving
2019 Standout
A Riemannian Framework for Tensor Computing
2005 Standout
Total Positivity: Tests and Parametrizations
2000
Inertia-Controlling Methods for General Quadratic Programming
1991
Interpolation by matrices
2004
Nonparametric Tests for Treatment Effect Heterogeneity
2008 StandoutNobel
Not all GKK τ-matrices are stable
1999
ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES
2002 Standout
A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts
2018
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
2002 Standout
Means of positive linear operators
1980 Standout
On the exponential metric increasing property
2003
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
2017 Standout
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
2017 Standout
A polynomial invariant for knots via von Neumann algebras
1985 Standout
The Theory of Quantum Information
2018
Scale-space for discrete signals
1990
Data-adaptive wavelets and multi-scale singular-spectrum analysis
2000
Deep Learning with Differential Privacy
2016 Standout
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
2016
Double Bruhat cells and total positivity
1999
Measures and dynamics of entangled states
2005
Interlacing inequalities for totally nonnegative matrices
2002
A result on common quadratic Lyapunov functions
2003
Numerical solution of saddle point problems
2005 Standout
Majorization and Matrix-Monotone Functions in Wireless Communications
2006
Text mining-based construction site accident classification using hybrid supervised machine learning
2020 Standout
SOME ASPECTS OF THE THEORY OF SYMMETRIC OPERATOR SPACES
1995
Speeded-Up Robust Features (SURF)
2008 Standout
On the stability of P-matrices
2007 StandoutNobel
Parametrizations of Canonical Bases and Totally Positive Matrices
1996
A Critical Review of Recurrent Neural Networks for Sequence Learning
2015 Standout
SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
1999 Standout
Better bound on the exponent of the radius of the multipartite separable ball
2005
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
2017 Standout
Multiphoton entanglement and interferometry
2012 StandoutNobel
DeepPose: Human Pose Estimation via Deep Neural Networks
2014 Standout
A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain
2020 Standout
Good error-correcting codes based on very sparse matrices
1999 Standout
Detecting quantum entanglement
2002
Functional clustering and linear regression for peak load forecasting
2009 Standout
Cluster algebras I: Foundations
2001 Standout
On the Nesterov--Todd Direction in Semidefinite Programming
1998
Quantum entanglement
2009 Standout
Curve forecasting by functional autoregression
2008
Entanglement detection
2009 Standout
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
2017 Standout
Markov chains on hypercubes: Spectral representations and several majorization relations
1993
Inequalities: Theory of majorization and its applications
1994
Continuous-variable quantum state tomography of photoelectrons
2022 StandoutNobel
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Stability and Stabilizability of Switched Linear Systems: A Survey of Recent Results
2009 Standout
Works of T. Andô being referenced
Topics on operator inequalities
1978
Totally positive matrices
1987
Set of matrices with common Lyapunov solution
2001
Majorizations and inequalities in matrix theory
1994
Majorization relations for Hadamard products
1995
Concavity of certain maps on positive definite matrices and applications to Hadamard products
1979
Generalized Schur complements
1979
An inequality for trace ideals
1980
On some operator inequalities
1987
Majorization, doubly stochastic matrices, and comparison of eigenvalues
1989
Comparison of norms |||f (A)?f (B)||| and |||f (|A?B|)|||
1988