Citation Impact
Citing Papers
Mapping model behaviour using Self-Organizing Maps
2009
Neural networks in geophysical applications
2000
Renewable energy and geopolitics: A review
2020 Standout
Surprise as the new normal – implications for energy security
2017
Variants of self-organizing maps
1990
Unsupervised classification of single particles by cluster tracking in multi-dimensional space
2006 StandoutNobel
A clarification of the terms used in comparing semi-automated particle selection algorithms in Cryo-EM
2011 StandoutNobel
Artificial neural networks for computer-based molecular design
1998
Open source clustering software
2004 Standout
Bayesian nonlinear model selection and neural networks: a conjugate prior approach
2000
Designing antimicrobial peptides: form follows function
2011 Standout
Pattern recognition and classification of images of biological macromolecules using artificial neural networks
1994
Essentials of the self-organizing map
2012
The Graph Neural Network Model
2008 Standout
Recursive self-organizing maps
2002
Use of proteomic patterns in serum to identify ovarian cancer
2002 Standout
Single-cell transcriptomic analysis of Alzheimer’s disease
2019 StandoutNature
Deep learning in neural networks: An overview
2014 Standout
Survey of Clustering Algorithms
2005 Standout
A Novel Neural Network Technique for Analysis and Classification of EM Single-Particle Images
2001
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
2020 Standout
Admission control and routing in ATM networks using inferences from measured buffer occupancy
1995
Pattern Recognition and Neural Networks
1996 Standout
Financial time series forecasting using support vector machines
2003 Standout
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
2019 Standout
The self-organizing map
1990 Standout
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning
2017
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
2013 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Congestion avoidance and control
1995 Standout
A review on applications of ANN and SVM for building electrical energy consumption forecasting
2014 Standout
Unsupervised learning by competing hidden units
2019 StandoutNobel
Neural networks for short-term load forecasting: a review and evaluation
2001 Standout
Forecasting with artificial neural networks:
1998 Standout
Ensemble-based classifiers
2009 Standout
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Self-organizing semantic maps
1989
Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
1999 Standout
Ultimate instability of exponential back-off protocol for acknowledgment-based transmission control of random access communication channels
1987
Support vector machines experts for time series forecasting
2003
Self-organizing time map: An abstraction of temporal multivariate patterns
2012
Application of data mining techniques in customer relationship management: A literature review and classification
2008 Standout
Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain
1993 Standout
Visualising components of regional innovation systems using self-organizing maps—Evidence from European regions
2013
Structural Control: Past, Present, and Future
1997 Standout
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
1999
Effective bandwidth in high-speed digital networks
1995
Predicting solar radiation at high resolutions: A comparison of time series forecasts
2008 Standout
Time series forecasting using a hybrid ARIMA and neural network model
2003 Standout
The role of collaborative networks in supporting the innovation performances of lagging-behind European regions
2017 Standout
A comparison of univariate methods for forecasting electricity demand up to a day ahead
2005
Kohonen's self-organizing maps: exploring their computational capabilities
1988
ARIMA models to predict next-day electricity prices
2003 Standout
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Machine Learning in Agriculture: A Review
2018 Standout
Effective capacity: A wireless link model for support of quality of service
2003 Standout
Rate control for communication networks: shadow prices, proportional fairness and stability
1998 Standout
A review on time series forecasting techniques for building energy consumption
2017 Standout
Online and off-line handwriting recognition: a comprehensive survey
2000 Standout
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
2003
Machine learning methods for solar radiation forecasting: A review
2017 Standout
Anomaly detection
2009 Standout
NONLINEAR GATED EXPERTS FOR TIME SERIES: DISCOVERING REGIMES AND AVOIDING OVERFITTING
1995
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
2009 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
A simulation study of artificial neural networks for nonlinear time-series forecasting
2001
Grey system theory-based models in time series prediction
2009 Standout
OR/MS research in disaster operations management
2005 Standout
Energy models for demand forecasting—A review
2011 Standout
Convergence properties of Kohonen's topology conserving maps: fluctuations, stability, and dimension selection
1988
Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System
2009
Artificial neural network based predictive method for flood disaster
2002
A supervised training algorithm for self-organizing maps for structures
2005
Probabilistic evaluation of control system robustness†
1995
Works of M. Patrick Cottrell being referenced
Neural modeling for time series: A statistical stepwise method for weight elimination
1995
A stochastic model of retinotopy: A self organizing process
1986
Theoretical aspects of the SOM algorithm
1998
Time series forecasting: Obtaining long term trends with self-organizing maps
2005
Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption
2002
Global governance at the energy-security nexus: Lessons from UNSCR 1540
2017
Large deviations and rare events in the study of stochastic algorithms
1983
A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences
1997