Citation Impact
Citing Papers
Authoritative sources in a hyperlinked environment
1998 Standout
Algorithms for Non-negative Matrix Factorization
2000 Standout
Stochastic Neighbor Embedding
2002 StandoutNobel
Distance Metric Learning for Large Margin Nearest Neighbor Classification
2009 Standout
Artificial neural network classification of Drosophila courtship song mutants
1992 StandoutNobel
The Healthy Eating Index-2010 Is a Valid and Reliable Measure of Diet Quality According to the 2010 Dietary Guidelines for Americans
2014 Standout
Artificial neural networks as a classification method in the behavioural sciences
1997
Artificial neural networks for computer-based molecular design
1998
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
2012 Standout
Metagenomic biomarker discovery and explanation
2011 Standout
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
2001 Standout
Designing antimicrobial peptides: form follows function
2011 Standout
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
Microbial interactions: from networks to models
2012 Standout
Impact of endometriosis on quality of life and work productivity: a multicenter study across ten countries
2011 Standout
MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
1996 Standout
Histopathological Image Analysis: A Review
2009 Standout
Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape
2004 Standout
Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—a case study
2004 Standout
SVM-DS fusion based soft fault detection and diagnosis in solar water heaters
2018 Standout
Platinum(IV)-Assisted [2 + 3] Cycloaddition of Nitrones to Coordinated Organonitriles. Synthesis of Δ4-1,2,4-Oxadiazolines
2000
Vertex component analysis: a fast algorithm to unmix hyperspectral data
2005 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Determination of organic matter in soils using radial basis function networks and near infrared spectroscopy
2002
[2 + 3] Cycloaddition of Nitrones to Platinum-Bound Organonitriles: Effect of Metal Oxidation State and of Nitrile Substituent
2000
Kohonen neural network as a pattern recognition method based on the weight interpretation
1996
EFFECTS OF ENVIRONMENTAL SCARCITY AND MUNIFICENCE ON THE RELATIONSHIP OF CONTEXT TO ORGANIZATIONAL STRUCTURE.
1989 Standout
Additions to Metal-Activated Organonitriles
2002 Standout
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
2012 Standout
Dimensionality Reduction by Learning an Invariant Mapping
2006 Standout
PROMETHEE: A comprehensive literature review on methodologies and applications
2009 Standout
Financial time series forecasting model based on CEEMDAN and LSTM
2018 Standout
Predicting fish yield of African lakes using neural networks
1999
Probabilistic Principal Component Analysis
1999 Standout
Robust principal component analysis?
2011 Standout
Introduction to multi-layer feed-forward neural networks
1997
Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
2005 Standout
Artificial neural networks in classification of NIR spectral data: Design of the training set
1996
A User's Guide to Principal Components
1993 Standout
Predicting stream nitrogen concentration from watershed features using neural networks
1999
Principal Component Analysis
1988 Standout
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
2006 Standout
Review and comparison of methods to study the contribution of variables in artificial neural network models
2003 Standout
Machine Learning in Agriculture: A Review
2018 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview
2005 Standout
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
1998 Standout
The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
2003 Standout
A Neural Device for Searching Direct Correlations between Structures and Properties of Chemical Compounds
1997
Semi-Supervised Learning
2006 Standout
Sparse Principal Component Analysis
2006 Standout
Automated counting of phytoplankton by pattern recognition: a comparison with a manual counting method
2003
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Functional clustering and linear regression for peak load forecasting
2009 Standout
Graph Regularized Nonnegative Matrix Factorization for Data Representation
2010 Standout
Authoritative sources in a hyperlinked environment
1999 Standout
Flow cytometry as a tool for the study of phytoplankton
2000
Selection of relevant features and examples in machine learning
1997 Standout
Incremental Learning for Robust Visual Tracking
2007 Standout
Spectrophotometric determination of metal ions in electroplating solutions in the presence of EDTA with the aid of multivariate calibration and artificial neural networks
2002
A review of novelty detection
2014 Standout
Chemometrics
1996
Automated taxonomic classification of phytoplankton sampled with imaging‐in‐flow cytometry
2007 Standout
Graph-based approach for airborne light detection and ranging segmentation
2017 Standout
Supervised Kohonen networks for classification problems
2006
Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information
1988 Standout
Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study
2016
Works of J.R.M. Smits being referenced
Using artificial neural networks for solving chemical problems
1994
Using artificial neural networks for solving chemical problems
1994
Two-dimensional mapping of IR spectra using a parallel implemented self-organising feature map
1993
Pattern classification with artificial neural networks: classification of algae, based upon flow cytometer data
1992
Using molecular representations in combination with neural networks. A case study: Prediction of the HPLC retention index
1994
Crystal and molecular structure of 2-(7-cyanonorcaran-7-yl)-5-(ethoxycarbonyl)-4,5,6,11b-tetrahydro(?4-1,2,4-oxadiazolino)-[2,3-a]-?-carboline, C23H24N4O3
1988