Citation Impact
Citing Papers
Design and evaluation of algorithms for mapping and scheduling of virtual network functions
2015
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
2018 Standout
WGC: Hybridization of exponential grey wolf optimizer with whale optimization for data clustering
2017 Standout
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
2007 Standout
Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming
2019 Standout
A real-time automated system for the recognition of human facial expressions
2006
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
2008 Standout
Survey of Clustering Algorithms
2005 Standout
Mixed linear model approach adapted for genome-wide association studies
2010 Standout
Variable neighborhood search: Principles and applications
2001 Standout
The self-organizing map
1990 Standout
An improved ant colony optimization for vehicle routing problem
2008 Standout
Metaheuristics: A bibliography
1996
Metaheuristics in combinatorial optimization
2003 Standout
Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale
2010
Metaheuristics in Combinatorial Optimization
2005 Standout
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
2012 Standout
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
2018 Standout
On-Line Building Energy Optimization Using Deep Reinforcement Learning
2018 Standout
Graph clustering
2007 Standout
Data clustering
1999 Standout
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
2022 Standout
Data mining in course management systems: Moodle case study and tutorial
2007 Standout
Fragment-free approach to protein folding using conditional neural fields
2010
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)
2019 StandoutNobel
Assessment of artificial neural network and genetic programming as predictive tools
2015
Genetic algorithms for the traveling salesman problem
1996
A survey of simulated annealing applications to operations research problems
1994
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Comment on “The use of artificial neural networks for the prediction of water quality parameters” by H. R. Maier and G. C. Dandy
1997
Understanding the concept of supply chain resilience
2009 Standout
Staff scheduling and rostering: A review of applications, methods and models
2003 Standout
A Review of Machine Learning and IoT in Smart Transportation
2019 Standout
Simulated Annealing, Its Variants and Engineering Applications
2016
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
2020 Standout
Heuristic and exact algorithms for a min–max selective vehicle routing problem
2010
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
2013 Standout
Next Generation 5G Wireless Networks: A Comprehensive Survey
2016 Standout
A new hybrid particle swarm and simulated annealing stochastic optimization method
2017
Predicting students' final performance from participation in on-line discussion forums
2013 Standout
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms
2014
Variable neighborhood search
1997 Standout
The vehicle routing problem: State of the art classification and review
2015 Standout
INFO: An efficient optimization algorithm based on weighted mean of vectors
2022 Standout
A survey of network anomaly detection techniques
2015 Standout
Massively parallel probabilistic computing with sparse Ising machines
2022 StandoutNobel
The Structure and Function of Complex Networks
2003 Standout
Network Function Virtualization: State-of-the-Art and Research Challenges
2015 Standout
Karst water resources in a changing world: Review of hydrological modeling approaches
2014 Standout
Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
2020 Standout
The global k-means clustering algorithm
2002 Standout
Autonomous Probabilistic Coprocessing With Petaflips per Second
2020
Data mining: concepts and techniques
2012 Standout
An efficient k-means clustering algorithm: analysis and implementation
2002 Standout
A modified Bee Colony Optimization (MBCO) and its hybridization with k-means for an application to data clustering
2018 Standout
Parallelizing the Self-Organizing Feature Map on multiprocessor systems
1991
Logically synthesized and hardware-accelerated restricted Boltzmann machines for combinatorial optimization and integer factorization
2022
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
2000 Standout
Works of Jan Korst being referenced
Theoretical Aspects of Local Search (Monographs in Theoretical Computer Science. An EATCS Series)
2007
Computations in massively parallel networks based on the Boltzmann machine: A review
1989
Boltzmann machines as a model for parallel annealing
1991
A quantitative analysis of the simulated annealing algorithm: A case study for the traveling salesman problem
1988
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing.
1990
Theoretical Aspects of Local Search
2007
Combinatorial optimization on a Boltzmann machine
1989
Boltzmann machines for travelling salesman problems
1989