Citation Impact
Citing Papers
Prediction of Postoperative Pulmonary Complications in a Population-based Surgical Cohort
2010 Standout
An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons
2008 Standout
An Adaptive Geometry Game for Handheld Devices
2003
Comprehension instruction : research-based best practices
2002 Standout
Advances in Minimum Description Length: Theory and Applications
2005
Genomics of ADME gene expression: mapping expression quantitative trait loci relevant for absorption, distribution, metabolism and excretion of drugs in human liver
2011
The re-emergence of natural products for drug discovery in the genomics era
2015 Standout
Toxicogenomics for the Prediction of Toxicity Related to Herbs from Traditional Chinese Medicine
2010
Machine learning for molecular and materials science
2018 StandoutNature
Cisplatin Nephrotoxicity: A Review
2007 Standout
Community detection algorithms: A comparative analysis
2009 Standout
Better therapeutics through microarrays
2002
Mechanisms of drug combinations: interaction and network perspectives
2009 Standout
A practical solution to the pervasive problems ofp values
2007 Standout
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
Cytochrome P450 enzymes in drug metabolism: Regulation of gene expression, enzyme activities, and impact of genetic variation
2013 Standout
Classification of a large microarray data set: Algorithm comparison and analysis of drug signatures
2005
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
2013
Deep learning in neural networks: An overview
2014 Standout
Half-century research developments in maritime accidents: Future directions
2016 Standout
Systems Approaches to Biological Rhythms in Drosophila
2005 StandoutNobel
A framework to identify factors influencing navigational risk for Maritime Autonomous Surface Ships
2020 Standout
A Gene Expression Signature that Predicts the Future Onset of Drug-Induced Renal Tubular Toxicity
2005
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
2010 Standout
Towards a science of integrated AI and Robotics
2017
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators
2007
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Community detection in graphs
2009 Standout
Top 10 algorithms in data mining
2007 Standout
DNA Arrays: Applications and Implications for Circadian Biology
2003
Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry
2016 Standout
Network-based wireless location: challenges faced in developing techniques for accurate wireless location information
2005 Standout
L1-assisted reciprocal teaching to improve ESL students’ comprehension of English expository text
2003
Adoption of AI-based chatbots for hospitality and tourism
2020 Standout
A proposed validation framework for expert elicited Bayesian Networks
2012
Deep Reinforcement Learning: A Survey
2022 Standout
Idiot's Bayes—Not So Stupid After All?
2001
Identification of platform-independent gene expression markers of cisplatin nephrotoxicity.
2004
Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View
2019
Maps of random walks on complex networks reveal community structure
2008 Standout
The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis
2015 Standout
A Probabilistic Approach to WLAN User Location Estimation
2002
Artificial Intelligence and Business Value: a Literature Review
2021 Standout
Incorporation of human factors into ship collision risk models focusing on human centred design aspects
2016 Standout
Survey of Wireless Indoor Positioning Techniques and Systems
2007 Standout
Data mining: concepts and techniques
2012 Standout
A Review on Multi-Label Learning Algorithms
2013 Standout
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry
2020 Standout
Survey of Model-Based Reinforcement Learning: Applications on Robotics
2017
Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis
2019 Standout
A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels
2013
The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
2006 StandoutScience
Discretization: An Enabling Technique
2002
Works of Tomi Silander being referenced
Online Feature Selection for Model-based Reinforcement Learning
2013
BAYDA: software for Bayesian classification and feature selection
1998
Bayesian Modeling Approach to Implement an Adaptive Questionnaire
2001
Locally Minimax Optimal Predictive Modeling with Bayesian Networks
2009
Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies
2011
Bayesian network analysis of resistance pathways against HIV-1 protease inhibitors
2006
Identification of toxicologically predictive gene sets using cDNA microarrays
2001
Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance
2006
On Supervised Selection of Bayesian Networks
2013
Supervised model-based visualization of high-dimensional data
2000
On predictive distributions and Bayesian networks
2000
B-COURSE: A WEB-BASED TOOL FOR BAYESIAN AND CAUSAL DATA ANALYSIS
2002
A simple approach for finding the globally optimal Bayesian network structure
2012
Scalable transfer learning in heterogeneous, dynamic environments
2015
Learning probabilistic decision graphs
2005