Fully automatic segmentation of AP pelvis X-rays via random forest regression with efficient feature selection and hierarchical sparse shape compositionCHENG CHEN; GUOYAN ZHENG.Computer vision and image understanding (Print). 2014, Vol 126, pp 1-10, issn 1077-3142, 10 p.Article

Learning a Confidence Measure for Optical FlowMAC AODHA, Oisin; HUMAYUN, Ahmad; POLLEFEYS, Marc et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 5, pp 1107-1120, issn 0162-8828, 14 p.Article

Development of Dimethyl Sulfoxide Solubility Models Using 163 000 Molecules: Using a Domain Applicability Metric to Select More Reliable PredictionsTETKO, Igor V; NOVOTARSKYI, Sergii; SUSHKO, Lurii et al.Journal of chemical information and modeling. 2013, Vol 53, Num 8, pp 1990-2000, issn 1549-9596, 11 p.Article

Specific Random Trees for Random ForestZHI LIU; ZHAOCAI SUN; HONGJUN WANG et al.IEICE transactions on information and systems. 2013, Vol 96, Num 3, pp 739-741, issn 0916-8532, 3 p.Article

Exploring Uncharted Territories: Predicting Activity Cliffs in Structure―Activity LandscapesGUHA, Rajarshi.Journal of chemical information and modeling. 2012, Vol 52, Num 8, pp 2181-2191, issn 1549-9596, 11 p.Article

Improving Classification Accuracy in Random Forest by Using Feature Impurity and Bayesian ProbabilityNGUYEN, Cuong; NAM-NGUYEN, Ha; WANG YOUNG et al.Artificial intelligence. International conferenceWorldComp'2011. 2011, pp 908-913, isbn 1-60132-183-X 1-60132-184-8 1-60132-185-6, 6 p.Conference Paper

FAst MEtabolizer (FAME): A Rapid and Accurate Predictor of Sites of Metabolism in Multiple Species by Endogenous EnzymesKIRCHMAIR, Johannes; WILLIAMSON, Mark J; AFZAL, Avid M et al.Journal of chemical information and modeling. 2013, Vol 53, Num 11, pp 2896-2907, issn 1549-9596, 12 p.Article

Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric MeasuresJOVIC, Alan; BOGUNOVIC, Nikola.Information technology interfaces. 2009, pp 35-40, isbn 978-953-7138-15-8, 1Vol, 6 p.Conference Paper

Large-scale gaussian process multi-class classification for semantic segmentation and facade recognitionFRÖHLICH, Björn; RODNER, Erik; KEMMLER, Michael et al.Machine vision and applications. 2013, Vol 24, Num 5, pp 1043-1053, issn 0932-8092, 11 p.Article

Decision tree ensembles based on kernel featuresAHMAD, Amir.Applied intelligence (Boston). 2014, Vol 41, Num 3, pp 855-869, issn 0924-669X, 15 p.Article

SFCscore^RF: A Random Forest-Based Scoring Function for Improved Affinity Prediction of Protein―Ligand ComplexesZILIAN, David; SOTRIFFER, Christoph A.Journal of chemical information and modeling. 2013, Vol 53, Num 8, pp 1923-1933, issn 1549-9596, 11 p.Article

Regression conformal prediction with random forestsJOHANSSON, Ulf; BOSTRÖM, Henrik; LÖFSTRÖM, Tuve et al.Machine learning. 2014, Vol 97, Num 1-2, pp 155-176, issn 0885-6125, 22 p.Article

A random forest classifier for lymph diseasesAHMAD TAHER AZAR; HANAA ISMAIL ELSHAZLY; ABOUL ELLA HASSANIEN et al.Computer methods and programs in biomedicine (Print). 2014, Vol 113, Num 2, pp 465-473, issn 0169-2607, 9 p.Article

Predicting DNA-Binding Sites by Exploring the Distribution of Atom Groups around the SurfaceJING HU; CHANGHUI YAN.Bioinformatics & computational biology. International conferenceWorldComp'2011. 2011, pp 192-195, isbn 1-60132-170-8 1-60132-171-6 1-60132-172-4, 4 p.Conference Paper

Learning Nonlinear Functions Using Regularized Greedy ForestJOHNSON, Rie; TONG ZHANG.IEEE transactions on pattern analysis and machine intelligence. 2014, Vol 36, Num 5, pp 942-954, issn 0162-8828, 13 p.Article

Using Random Forest To Model the Domain Applicability of Another Random Forest ModelSHERIDAN, Robert P.Journal of chemical information and modeling. 2013, Vol 53, Num 11, pp 2837-2850, issn 1549-9596, 14 p.Article

Fast Action Detection via Discriminative Random Forest Voting and Top-K Subvolume SearchGANG YU; GOUSSIES, Norberto A; JUNSONG YUAN et al.IEEE transactions on multimedia. 2011, Vol 13, Num 3, pp 507-517, issn 1520-9210, 11 p.Article

An adaptable system for RGB-D based human body detection and pose estimationBUYS, Koen; CAGNIART, Cedric; BAKSHEEV, Anatoly et al.Journal of visual communication and image representation (Print). 2014, Vol 25, Num 1, pp 39-52, issn 1047-3203, 14 p.Article

A novel approach to designing an adaptive committee applied to predicting company's future performanceKALSYTE, Zivile; VERIKAS, Antanas; BACAUSKIENE, Marija et al.Expert systems with applications. 2013, Vol 40, Num 6, pp 2051-2057, issn 0957-4174, 7 p.Article

Imputation of missing values for semi-supervised data using the proximity in random forestsISHIOKA, Tsunenori.International journal of business intelligence and data mining (Print). 2013, Vol 8, Num 2, pp 155-166, issn 1743-8187, 12 p.Article

An Artificial Immune System for Classification with Local Feature SelectionDUDEK, Grzegorz.IEEE transactions on evolutionary computation. 2012, Vol 16, Num 6, pp 847-860, issn 1089-778X, 14 p.Article

Tweet sentiment analysis with classifier ensemblesDA SILVA, Nádia F. F; HRUSCHKA, Eduardo R; HRUSCHKA, Estevam R et al.Decision support systems. 2014, Vol 66, pp 170-179, issn 0167-9236, 10 p.Article

Prediction of Aquatic Toxicity Mode of Action Using Linear Discriminant and Random Forest ModelsMARTIN, Todd M; GRULKE, Christopher M; YOUNG, Douglas M et al.Journal of chemical information and modeling. 2013, Vol 53, Num 9, pp 2229-2239, issn 1549-9596, 11 p.Article

TEXPLORE: real-time sample-efficient reinforcement learning for robotsHESTER, Todd; STONE, Peter.Machine learning. 2013, Vol 90, Num 3, pp 385-429, issn 0885-6125, 45 p.Article

Binding Affinity Prediction for Protein-Ligand Complexes Based on β Contacts and B FactorQIAN LIU; CHEE KEONG KWOH; JINYAN LI et al.Journal of chemical information and modeling. 2013, Vol 53, Num 11, pp 3076-3085, issn 1549-9596, 10 p.Article