Citation Impact
Citing Papers
Graph Neural Networks for Object Localization
2006
An overview of reservoir computing: theory, applications and implementations
2007
The upside of uncertainty: Identification of lithology contact zones from airborne geophysics and satellite data using Random Forests and Support Vector Machines
2013
Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet
2021 Standout
Graph neural networks: A review of methods and applications
2020 Standout
Information processing using a single dynamical node as complex system
2011
Lifelong learning of human actions with deep neural network self-organization
2017
Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach
2015
High-throughput functional annotation and data mining with the Blast2GO suite
2008 Standout
Online reservoir adaptation by intrinsic plasticity for backpropagation–decorrelation and echo state learning
2007
GOPET: A tool for automated predictions of Gene Ontology terms
2006
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks
2020
Machine learning for molecular and materials science
2018 StandoutNature
Essentials of the self-organizing map
2012
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
SoilGrids250m: Global gridded soil information based on machine learning
2017 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
The Graph Neural Network Model
2008 Standout
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
2008
Processing directed acyclic graphs with recursive neural networks
2001
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Neural Network for Graphs: A Contextual Constructive Approach
2009
Using Deep Learning for Image-Based Plant Disease Detection
2016 Standout
Computational Capabilities of Graph Neural Networks
2008
The Vapnik–Chervonenkis dimension of graph and recursive neural networks
2018
Recursive neural networks for processing graphs with labelled edges: theory and applications
2005
Deep learning in neural networks: An overview
2014 Standout
A self-organizing map for adaptive processing of structured data
2003
Contextual Processing of Structured Data by Recursive Cascade Correlation
2004
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
A Review of Imaging Techniques for Plant Phenotyping
2014 Standout
Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
2016
Mapping Selective Logging in Mixed Deciduous Forest
2008
Graph Neural Networks: A Review of Methods and Applications
2018
Graph Echo State Networks
2010
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Training of Large-Scale Feed-Forward Neural Networks
2006
Training a Single Sigmoidal Neuron Is Hard
2002
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Unveiling the predictive power of static structure in glassy systems
2020 StandoutNobel
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
Support vector machines in remote sensing: A review
2010 Standout
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set
2018 Standout
Loading Deep Networks Is Hard: The Pyramidal Case
2005
A Comparison between Recursive Neural Networks and Graph Neural Networks
2006
Supervised Sequence Labelling with Recurrent Neural Networks
2012
Explaining machine learning models in sales predictions
2016
Wind-driven SWRO desalination prototype with and without batteries: A performance simulation using machine learning models
2017
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
Foundations and Advances in Deep Learning
2014
CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey
2018
Digital Reticular Chemistry
2020 StandoutNobel
Digital Twin: Enabling Technologies, Challenges and Open Research
2020 Standout
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Machine Learning in Agriculture: A Review
2018 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Random forest in remote sensing: A review of applications and future directions
2016 Standout
Clustering of crop phenotypes by means of hyperspectral signatures using artificial neural networks
2010
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Satellite‐based precipitation estimation using watershed segmentation and growing hierarchical self‐organizing map
2006
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Dynamic Graph CNN for Learning on Point Clouds
2019 Standout
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
2020 Standout
An assessment of the effectiveness of a random forest classifier for land-cover classification
2011 Standout
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
An unsupervised method of classifying remotely sensed images using Kohonen self‐organizing maps and agglomerative hierarchical clustering methods
2008
Deep Learning in Medical Image Analysis
2017 Standout
A Developmental Approach to Structural Self-Organization in Reservoir Computing
2012
LSTM: A Search Space Odyssey
2016 Standout
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Deep learning in agriculture: A survey
2018 Standout
A supervised training algorithm for self-organizing maps for structures
2005
Works of Barbara Hammer being referenced
Neural Networks and Machine Learning in Bioinformatics - Theory and Applications
2006
How to process uncertainty in machine learning
2007
Neural methods for non-standard data
2004
Training a sigmoidal network is difficult
1998
Recent advances in efficient learning of recurrent networks.
2009
A general framework for unsupervised processing of structured data
2002
Neural networks can approximate mappings on structured objects
1997
Approximation capabilities of folding networks
1999
A mathematical characterization of the architectural bias of recursive models
2004
Perspectives on learning with recurrent neural networks.
2002
Neural maps in remote sensing image analysis
2003
Local matrix learning in clustering and applications for manifold visualization
2009
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods
2007
A general framework for unsupervised processing of structured data
2004
On approximate learning by multi-layered feedforward circuits
2005
Merge SOM for temporal data
2005
Using Discriminative Dimensionality Reduction to Visualize Classifiers
2014
Recurrent networks for structured data – A unifying approach and its properties
2002
5th Workshop on Self-Organizing Maps : Paris 1 Panthéon-Sorbonne University 5th-8th September 2005 : proceedings
2005
Local matrix adaptation in topographic neural maps
2010
Learning with recurrent neural networks
2000
A Note on the Universal Approximation Capability of Support Vector Machines
2003
On the Learnability of Recursive Data
1999
Recursive self-organizing network models
2004
Incremental on-line learning: A review and comparison of state of the art algorithms
2017
Supervised Neural Gas with General Similarity Measure
2005
Adaptive Relevance Matrices in Learning Vector Quantization
2009
Recurrent Neural Networks with Small Weights Implement Definite Memory Machines
2003
Universal Approximation Capability of Cascade Correlation for Structures
2005
Architectural Bias in Recurrent Neural Networks: Fractal Analysis
2003
Generalization ability of folding networks
2001