Citation Impact
Citing Papers
Analysing the temporal dynamics of model performance for hydrological models
2009
Graph neural networks: A review of methods and applications
2020 Standout
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks
2008
Open source clustering software
2004 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Essentials of the self-organizing map
2012
Face recognition: a convolutional neural-network approach
1997 Standout
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
Rational design of antithrombotic peptides to target the von Willebrand Factor (vWf) - GPIb integrin interaction
2008 StandoutNobel
Use of proteomic patterns in serum to identify ovarian cancer
2002 Standout
Single-cell transcriptomic analysis of Alzheimer’s disease
2019 StandoutNature
Survey of Clustering Algorithms
2005 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving
2007
Pattern Recognition and Neural Networks
1996 Standout
The self-organizing map
1990 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Unsupervised learning by competing hidden units
2019 StandoutNobel
Handbook of Quantitative Science and Technology Research
2005 Standout
A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
2017 Standout
Neural networks for short-term load forecasting: a review and evaluation
2001 Standout
Rolling element bearing fault detection using PPCA and spectral kurtosis
2015
Machine condition prognosis based on regression trees and one-step-ahead prediction
2007
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Random vector functional link network for short-term electricity load demand forecasting
2016 Standout
Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
1999 Standout
A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network
2002
Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain
1993 Standout
ARIMA models to predict next-day electricity prices
2003 Standout
A survey of Hough Transform
2014 Standout
Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
2010 Standout
An overview of time-based and condition-based maintenance in industrial application
2012 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Recursive self-organizing network models
2004
Machine Learning in Agriculture: A Review
2018 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
Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
2020 Standout
From Marketing Mix to Relationship Marketing
1994 Standout
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
2016 Standout
Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping
2015 Standout
Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks
2017 Standout
Characterising performance of environmental models
2012 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
SOM time series clustering and prediction with recurrent neural networks
2011
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
2016 Standout
Using sensitivity analysis and visualization techniques to open black box data mining models
2012
A review of novelty detection
2014 Standout
Fuzzy optimized self-organizing maps and their application to document clustering
2009
Works of Marie Cottrell being referenced
Forecasting Time-Series by Kohonen Classification
1998
Etude d'un processus d'auto-organisation
1987
Two or three things that we know about the Kohonen algorithm.
1994
A Kohonen map representation to avoid misleading interpretations.
1996
Advances in Data Mining. Applications and Theoretical Aspects
2010
Forecasting the CATS benchmark with the Double Vector Quantization method
2007
Forecasting of curves using a Kohonen classification
1998
Advances in Self-Organizing Maps
2009
Advances in Self-Organizing Maps
2006
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
2013
Forecasting of curves using a Kohonen classification
1998