Standout Papers
Citation Impact
Citing Papers
Blind tests of RNA nearest-neighbor energy prediction
2016
Representation Transfer for Reinforcement Learning
2007
Autonomous agent learning using an actor-critic algorithm and behavior models
2008
A comprehensive survey on safe reinforcement learning
2015 Standout
Boosting the margin: A new explanation for the effectiveness of voting methods
1997
Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer
2004
A Ranked Subspace Learning Method for Gene Expression Data Classification
2007
Transfer Learning for Reinforcement Learning Domains: A Survey
2009
Boosting in the limit: maximizing the margin of learned ensembles
1998
Ensemble Pruning Via Semi-definite Programming
2006
Extracting symbolic rules from trained neural network ensembles
2003
Computational Stabilization of a Non‐Heme Iron Enzyme Enables Efficient Evolution of New Function
2024 StandoutNobel
Differential expression analysis for sequence count data
2010 Standout
Rewiring of the Fruit Metabolome in Tomato Breeding
2018 Standout
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Redefining the goals of protein secondary structure prediction
1994
Drug repurposing: progress, challenges and recommendations
2018 Standout
Prediction and Functional Analysis of Native Disorder in Proteins from the Three Kingdoms of Life
2004 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Assessing the accuracy of prediction algorithms for classification: an overview
2000 StandoutNobel
Artificial neural networks for molecular sequence analysis
1997
Third Generation Prediction of Secondary Structures
2003
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
RAMOBoost: Ranked Minority Oversampling in Boosting
2010
Methods of integrating data to uncover genotype–phenotype interactions
2015
Blind predictions of local protein structure in CASP2 targets using the I‐sites library
1997 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Protein secondary structure prediction based on position-specific scoring matrices 1 1Edited by G. Von Heijne
1999 Standout
Sequence and structure-based prediction of eukaryotic protein phosphorylation sites
1999 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Random Forests
2001 Standout
Study of corporate credit risk prediction based on integrating boosting and random subspace
2011
Global land cover mapping from MODIS: algorithms and early results
2002 Standout
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
2000 Standout
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
2000 Standout
Learning from Imbalanced Data
2009 Standout
Constructing boosting algorithms from SVMs: an application to one-class classification
2002
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Teachable robots: Understanding human teaching behavior to build more effective robot learners
2007
Extremely randomized trees
2006 Standout
Boosting the margin: a new explanation for the effectiveness of voting methods
1998 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
An introduction to ROC analysis
2005 Standout
Learning From Explanations Using Sentiment and Advice in RL
2016
A local boosting algorithm for solving classification problems
2007
Using prior probabilities in decision-tree classification of remotely sensed data
2002
Ensembling neural networks: Many could be better than all
2002
Data-driven Soft Sensors in the process industry
2009 Standout
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
2009 Standout
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
2012 Standout
A review of data-driven building energy consumption prediction studies
2017 Standout
Actively Searching for an Effective Neural Network Ensemble
1996
A Comprehensive Survey on Transfer Learning
2020 Standout
EROS: Ensemble rough subspaces
2007
Troika – An improved stacking schema for classification tasks
2009
Genetic algorithm-based feature set partitioning for classification problems
2007
Catalytic Asymmetric Hydroalkoxylation of C–C Multiple Bonds
2021 StandoutNobel
Blind predictions of local protein structure in CASP2 targets using the I-sites library
1997 StandoutNobel
Two credit scoring models based on dual strategy ensemble trees
2011
RotBoost: A technique for combining Rotation Forest and AdaBoost
2008
Robust Real-Time Face Detection
2004 Standout
Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance
2016
Statistical pattern recognition: a review
2000 Standout
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples
2004
On combining classifiers
1998 Standout
Reinforcement Learning Via Practice and Critique Advice
2010
A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
2011
An improved boosting based on feature selection for corporate bankruptcy prediction
2013
MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis
2018 Standout
Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods
2001
A review on time series forecasting techniques for building energy consumption
2017 Standout
A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery
2013
Anomaly detection
2009 Standout
Learning in the “Real World”
1998
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
The Role of Occam's Razor in Knowledge Discovery
1999
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
2017 StandoutNobel
Random forest in remote sensing: A review of applications and future directions
2016 Standout
Improved Boosting Algorithms Using Confidence-rated Predictions
1999 Standout
Coupled prediction of protein secondary and tertiary structure
2003 StandoutNobel
Predicting China’s SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods
2016
Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
2002 Standout
Decision forest: Twenty years of research
2015
Data mining: concepts and techniques
2012 Standout
A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
2016
Scalable and Parallel Boosting with MapReduce
2011
Computational Design of Stable and Soluble Biocatalysts
2018
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]
2016
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
2019 Standout
Boosted learning in dynamic bayesian networks for multimodal speaker detection
2003
Ensemble learning: A survey
2018 Standout
Chemical Glycoproteomics
2016 StandoutNobel
Works of Richard Maclin being referenced
Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression
2005
Combining the predictions of multiple classifiers: using competitive learning to initialize neural networks
1995
Incorporating advice into agents that learn from reinforcements
1994
An empirical evaluation of bagging and boosting
1997
Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection
1997
Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding
1993
Learning from instruction and experience: methods for incorporating procedural domain theories into knowledge-based neural networks
1996
Creating Advice-Taking Reinforcement Learners
1996
Popular Ensemble Methods: An Empirical Study
1999 Standout
Creating advice-taking reinforcement learners
1996