Citation Impact
Citing Papers
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
2009 Standout
SCAPE
2005 Standout
Continual lifelong learning with neural networks: A review
2019 Standout
Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability
2016
Network discovery with DCM
2010
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
2005 Standout
PaDEL‐descriptor: An open source software to calculate molecular descriptors and fingerprints
2010 Standout
Information-seeking, curiosity, and attention: computational and neural mechanisms
2013
Applications of machine learning in drug discovery and development
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Robust causal inference using directed acyclic graphs: the R package ‘dagitty’
2016 Standout
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
2014 Standout
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
2004
Incorporating contextual information in recommender systems using a multidimensional approach
2005
A new collaborative filtering metric that improves the behavior of recommender systems
2010
A survey of techniques for internet traffic classification using machine learning
2008 Standout
Object tracking
2006 Standout
Feature Selection with theBorutaPackage
2010 Standout
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
2006
Variable selection using random forests
2010 Standout
Wrappers for feature subset selection
1997 Standout
A group recommendation system for online communities
2009
Top 10 algorithms in data mining
2007 Standout
Ensemble-based classifiers
2009 Standout
Topic Modeling in Management Research: Rendering New Theory from Textual Data
2019 Standout
Tree Induction for Probability-Based Ranking
2003
Comparison of collaborative filtering algorithms
2011
A Comprehensive Survey on Transfer Learning
2020 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Application of data mining techniques in customer relationship management: A literature review and classification
2008 Standout
Particle swarm optimization for parameter determination and feature selection of support vector machines
2007 Standout
Structural and Functional Brain Networks: From Connections to Cognition
2013 StandoutScience
Genetic algorithm-based feature set partitioning for classification problems
2007
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students
2012 Standout
Item-based top-Nrecommendation algorithms
2004 Standout
Fast, frugal, and rational: How rational norms explain behavior
2003
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
2018 Standout
A tutorial on human activity recognition using body-worn inertial sensors
2014 Standout
Statistical pattern recognition: a review
2000 Standout
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
2004
Recommender systems survey
2013 Standout
Heuristic Decision Making
2010 Standout
SMPL
2015 Standout
Idiot's Bayes—Not So Stupid After All?
2001
Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda
2019 Standout
Latent semantic models for collaborative filtering
2004
A survey on semi-supervised learning
2019 Standout
A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis
2012
An overview of multi-task learning
2017
Personalization in an interactive learning environment through a virtual character
2007
Bayesian Network Classifiers
1997 Standout
Serum bilirubin and the risk of hypertension
2014
Ant colony optimization
2006 Standout
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Using Semantics and Statistics to Turn Data into Knowledge
2015
Causal inference and data fusion in econometrics
2023
Ant colony optimization for learning Bayesian networks
2002
Visualizing non-metric similarities in multiple maps
2011 StandoutNobel
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2005 Standout
A survey on feature selection methods
2013 Standout
Data mining: concepts and techniques
2012 Standout
Model-Free Quantum Control with Reinforcement Learning
2022 StandoutNobel
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics
2020 StandoutNobel
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
Selection of relevant features and examples in machine learning
1997 Standout
The transferable belief model
1994 Standout
A survey of transfer learning
2016 Standout
Quantum POMDPs
2014
Variational Bayes for estimating the parameters of a hidden Potts model
2008
Fuzzy-genetic approach to recommender systems based on a novel hybrid user model
2007
Enhancing Product Recommender Systems on Sparse Binary Data
2004
Gene Selection for Cancer Classification using Support Vector Machines
2002 Standout
Data mining with big data
2013 Standout
Chemical substructures that enrich for biological activity
2008
Works of Max Chickering being referenced
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
1997
Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization
2000
Proceedings of the 20th conference on Uncertainty in artificial intelligence
2004