Citation Impact
Citing Papers
Regression Shrinkage and Selection Via the Lasso
1996 Standout
Gauged N = 8 supergravity and its breaking from spontaneous compactification
1983 StandoutNobel
The american rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis
1988 Standout
RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY
2007 Standout
Permutation tests for joinpoint regression with applications to cancer rates
2000 Standout
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
2004 Standout
Evaluation of Structural and Evolutionary Contributions to Deleterious Mutation Prediction
2002 StandoutNobel
The global distribution and burden of dengue
2013 StandoutNature
Static Effective Hamiltonian of a Rapidly Driven Nonlinear System
2022 StandoutNobel
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
2007 Standout
A working guide to boosted regression trees
2008 Standout
Identification of Neural Circuits by Imaging Coherent Electrical Activity with FRET-Based Dyes
1999 StandoutNobel
Fully Convolutional Networks for Semantic Segmentation
2016 Standout
High-speed, low-photodamage nonlinear imaging using passive pulse splitters
2008 StandoutNobel
Design of multimirror structures for high-frequency bursts and codes of ultrashort pulses
1994
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
1999 Standout
Vector quantization in speech coding
1985
A weighted cepstral distance measure for speech recognition
1987
All-pole modeling of degraded speech
1978
A unified approach to time- and frequency-domain realization of FIR adaptive digital filters
1983
Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
1998
Quantization properties of transmission parameters in linear predictive systems
1975
Spectral linear prediction: Properties and applications
1975
The self-organizing map
1990 Standout
Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog.
1986 Standout
Structural methods in automatic speech recognition
1985
Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations
1997 Standout
Maximum-Likelihood Estimation for Mixture Multivariate Stochastic Observations of Markov Chains
1985
An introduction to ROC analysis
2005 Standout
On Hotelling's Approach to Testing for a Nonlinear Parameter in Regression
1989
The WEKA data mining software
2009 Standout
Bagging Predictors
1996 Standout
CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS
2000 Standout
Quantifying the Dynamics of Protein Self-Organization Using Deep Learning Analysis of Atomic Force Microscopy Data
2020 StandoutNobel
Spectral Analysis of Natural Seismic Events Using Autoregressive Techniques
1977
Asymptotically optimal block quantization
1979
Vector Quantization
1984
Recursive partitioning for heterogeneous causal effects
2016 StandoutNobel
Classification and Regression Trees.
1984 Standout
Linear prediction: A tutorial review
1975 Standout
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Lectures on Symplectic Geometry
2008
Cardiovascular neural regulation explored in the frequency domain.
1991 Standout
Fast, recursive-least-squares transversal filters for adaptive filtering
1984
Product code vector quantizers for waveform and voice coding
1984
The application of the frequency domain LMS adaptive filter to split array bearing estimation with a sinusoidal signal
1985
Reflections on mirror fermions
1984 StandoutNobel
Femtosecond wave packet spectroscopy: Coherences, the potential, and structural determination
1993 StandoutNobel
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
Spectrum analysis—A modern perspective
1981 Standout
On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word Recognition
1983
An Algorithm for Vector Quantizer Design
1980 Standout
On the use of bandpass liftering in speech recognition
1987
Mixture autoregressive hidden Markov models for speech signals
1985
Robust text-independent speaker identification using Gaussian mixture speaker models
1995
A speaker-independent, syntax-directed, connected word recognition system based on hidden Markov models and level building
1985
Spectrum estimation and harmonic analysis
1982 Standout
Maximum likelihood estimation for multivariate mixture observations of markov chains (Corresp.)
1986
On the structure of vector quantizers
1982
Statistical pattern recognition: a review
2000 Standout
Sequential algorithm for identification of parameters of an autoregressive process
1975
The random subspace method for constructing decision forests
1998 Standout
A tutorial on hidden Markov models and selected applications in speech recognition
1989 Standout
Least angle regression
2004 Standout
Noise compensation for autoregressive spectral estimates
1980
Digital speech analysis using sequential estimation techniques
1975
Simultaneous estimation of poles and zeros in speech analysis and ITIF-iterative inverse filtering algorithm
1979
On the Steady State Performance of Frequency Domain LMS Algorithms
1993
Optimal partitioning for classification and regression trees
1991
Vector quantization of images based upon the Kohonen self-organizing feature maps
1988
Direct estimation of the vocal tract shape by inverse filtering of acoustic speech waveforms
1973
Branes at conical singularities and holography
1998
Stable and efficient lattice methods for linear prediction
1977
The mass spectrum of supergravity on the round seven-sphere
1984 StandoutNobel
Optimality in the choice of the convergence factor for gradient-based adaptive algorithms
1987
Heart Rate Variability
1996 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial
1990
Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
2002 Standout
Data mining: concepts and techniques
2012 Standout
A note on covariance-invariant digital filter design and autoregressive moving average spectrum analysis
1979
A Probabilistic Distance Measure for Hidden Markov Models
1985
Search for a realistic Kaluza-Klein theory
1981
Matching pursuits with time-frequency dictionaries
1993 Standout
Large N field theories, string theory and gravity
2000 Standout
Discriminant Analysis and Statistical Pattern Recognition.
1993 Standout
A Pervasive Millennial-Scale Cycle in North Atlantic Holocene and Glacial Climates
1997 StandoutScience
A fast exact least mean square adaptive algorithm
1992
Femtosecond temporal spectroscopy of ICI: inversion to the A 3Π1 state potential
1990 StandoutNobel
Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information
1988 Standout
A weighted normalized frequency domain LMS adaptive algorithm
1988
Predictive habitat distribution models in ecology
2000 Standout
Works of Alfred Gray being referenced
Distortion measures for speech processing
1980
Comparison of optimal quantizations of speech reflection coefficients
1977
Asymptotically optimal quantizers (Corresp.)
1977
Passive cascaded lattice digital filters
1980
Rate-distortion speech coding with a minimum discrimination information distortion measure
1981
Speech coding based upon vector quantization
1980
Distance measures for speech processing
1976
Long-term feature averaging for speaker recognition
1977
On autocorrelation equations as applied to speech analysis
1973
Distortion performance of vector quantization for LPC voice coding
1982
Vector cross products on manifolds
1969
A spectral-flatness measure for studying the autocorrelation method of linear prediction of speech analysis
1974
Comparison theorems for the volumes of tubes as generalizations of the Weyl tube formula
1982
Digital lattice and ladder filter synthesis
1973
Quantization and bit allocation in speech processing
1976
A linear prediction vocoder simulation based upon the autocorrelation method
1974
The Burg algorithm for LPC speech analysis/Synthesis
1980
Fixed-point truncation arithmetic implementation of a linear prediction autocorrelation vocoder
1974
Source Coding and Speech Compression
1978
Compact parallelizable four-dimensional symplectic and complex manifolds
1988
The sixteen classes of almost Hermitian manifolds and their linear invariants
1980
An 800 bit/s vector quantization LPC vocoder
1982
Unconstrained frequency-domain adaptive filter
1982
Roundoff noise characteristics of a class of orthogonal polynomial structures
1975
Riemannian manifolds with geodesic symmetries of order 3
1972