91. Group Fairness in Committee Selection
    2019/05/11 by Yu Cheng, Zhihao Jiang, Kamesh Munagala +1 · 1 citation
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Artificial intelligence #Auction Theory and Applications #Computer science #Game Theory and Applications #Game Theory and Voting Systems #Inequality #Intersection (aeronautics) #Lottery #Machine learning #Mathematical economics #Mathematics #Preference #Probabilistic logic #Ranking (information retrieval) #Selection (genetic algorithm) #Set (abstract data type) #Stability (learning theory) #Statistics #cs.DM #cs.GT
92. A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety
    2019/04/04 by Alexandre Nascimento, A. M. Nascimento, Lúcio F. Vismari +26 · 3 citations
    Computer Science · Engineering · #Applications of artificial intelligence #Artificial Intelligence (cs.AI) #Artificial intelligence #Autonomous Vehicle Technology and Safety #Business #Computer science #Computers and Society (cs.CY) #Context (archaeology) #Engineering #FOS: Computer and information sciences #Field (mathematics) #Operations research #Political science #Risk analysis (engineering) #Selection (genetic algorithm) #Systematic review #Traffic Prediction and Management Techniques #Traffic and Road Safety #Vehicle safety #cs.AI #cs.CY
93. Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation
    2019/03/01 by Joshua N. Cobb, Roselyne U. Juma, Partha S. Biswas +9 · 38 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Agronomy #Biology #Biotechnology #Computer science #Emerging technologies #Genetic Mapping and Diversity in Plants and Animals #Genetic and phenotypic traits in livestock #Genetic gain #Genetic variation #Genetics #Genetics and Plant Breeding #Plant breeding #Resource (disambiguation) #Selection (genetic algorithm)
94. Kernel Change-point Detection with Auxiliary Deep Generative Models
    2019/01/18 by Wei-Cheng Chang, Chang, Wei-Cheng, Chun-Liang Li +6 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Algorithm #Artificial intelligence #Benchmark (surveying) #Computer science #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative grammar #Generative model #Kernel (algebra) #Kernel embedding of distributions #Kernel method #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Metabolomics and Mass Spectrometry Studies #Multiple kernel learning #Parametric statistics #Radial basis function kernel #Selection (genetic algorithm) #Statistics #Support vector machine #Time Series Analysis and Forecasting #Tree kernel #Variable kernel density estimation #cs.LG #stat.ML
95. Back to the future: revisiting MAS as a tool for modern plant breeding
    2018/12/17 by Joshua N. Cobb, P. Biswas, Partha S. Biswas +2 · 29 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Agronomy #Artificial intelligence #Biology #Biotechnology #Breeding program #Computer science #Ecology #GABA and Rice Research #Gene #Genetic Mapping and Diversity in Plants and Animals #Genetic diversity #Genetics #Genome #Genomic selection #Genomics #Genotype #Identification (biology) #Marker-assisted selection #Molecular breeding #Plant breeding #Population #Quantitative trait locus #Rice Cultivation and Yield Improvement #Selection (genetic algorithm)
96. Toward the sequence-based breeding in legumes in the post-genome sequencing era
    2018/12/17 by Rajeev K. Varshney, Manish K. Pandey, Abhishek Bohra +4 · 29 citations
    Agricultural and Biological Sciences · #Agricultural pest management studies #Agronomy #Artificial intelligence #Biology #Biotechnology #Computer science #Context (archaeology) #Gene #Genetic and Environmental Crop Studies #Genetic diversity #Genetic gain #Genetic marker #Genetic variation #Genetics #Genomic selection #Genotype #Genotyping #Marker-assisted selection #Molecular breeding #Peanut Plant Research Studies #Plant breeding #Population #Selection (genetic algorithm)
97. Operator Splitting Performance Estimation: Tight contraction factors and\n optimal parameter selection
    2018/12/01 by Ernest K. Ryu, Adrien B. Taylor, Ryu, Ernest K. +6 · 10 citations
    Computer Science · Mathematics · #47H05 47H09 68Q25 90C22 90C25 90C30 90C60 #Advanced Optimization Algorithms Research #Algorithm #Applied mathematics #Artificial intelligence #Computer science #Contraction (grammar) #FOS: Mathematics #Formal Methods in Verification #Logic, programming, and type systems #Mathematical optimization #Mathematical proof #Mathematics #Operator (biology) #Operator splitting #Optimization and Control (math.OC) #Selection (genetic algorithm) #Semidefinite programming #math.OC #msc:47H05 #msc:47H09 #msc:68Q25 #msc:90C22 #msc:90C25 #msc:90C30 #msc:90C60
98. Model Selection Techniques -- An Overview
    2018/10/22 by Jie Ding, Vahid Tarokh, Yuhong Yang · 5 citations
    Computer Science · Economics, Econometrics and Finance · Engineering · Mathematics · Physics and Astronomy · #Advanced Statistical Methods and Models #Anomaly Detection Techniques and Applications #Artificial intelligence #Big data #Computer science #Data mining #Data science #Engineering #Epistemology #Inference #Machine learning #Management science #Mathematics #Model selection #Predictive power #Selection (genetic algorithm) #Set (abstract data type) #Statistical Methods and Inference #Statistical inference #Statistical model #Statistics #cs.IT #cs.LG #econ.EM #math.IT #physics.app-ph #stat.ML
99. Genomic adaptation to drought in wild barley is driven by edaphic natural selection at the Tabigha Evolution Slope
    2018/04/30 by Xiao‐Lei Wang, Zhong‐Hua Chen, Chongyi Yang +8 · 1 citation
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Adaptation (eye) #Biology #Botany #Ecology #Edaphic #Evolutionary biology #Genetic Mapping and Diversity in Plants and Animals #Genetics #Local adaptation #Microsite #Natural selection #Plant Disease Resistance and Genetics #Population #Rhizosphere #Selection (genetic algorithm) #Soil water #Wheat and Barley Genetics and Pathology
100. Accelerated Training for Massive Classification via Dynamic Class Selection
     2018/01/05 by Xingcheng Zhang, Zhang, Xingcheng, Lei Yang +5 · 3 citations
     Computer Science · Engineering · #Artificial intelligence #Class (philosophy) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Domain Adaptation and Few-Shot Learning #Engineering #FOS: Computer and information sciences #Face (sociological concept) #Imbalanced Data Classification Techniques #Machine Learning and Algorithms #Machine learning #Scale (ratio) #Scheme (mathematics) #Selection (genetic algorithm) #Set (abstract data type) #Task (project management) #Training (meteorology) #cs.CV
101. Parameter-free online learning via model selection
     2017/12/30 by Dylan J. Foster, Satyen Kale, Foster, Dylan J. +5 · 6 citations
     Computer Science · Decision Sciences · Engineering · Mathematics · #Advanced Bandit Algorithms Research #Algorithm #Artificial intelligence #Computer science #FOS: Computer and information sciences #Function (biology) #Hilbert space #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Mathematical optimization #Mathematics #Model selection #Oracle #Pure mathematics #Selection (genetic algorithm) #Smoothness #Sparse and Compressive Sensing Techniques #Theoretical computer science #cs.LG #stat.ML
102. Fully adaptive algorithm for pure exploration in linear bandits
     2017/10/16 by Liyuan Xu, Xu, Liyuan, Junya Honda +3 · 7 citations
     Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Algorithm #Artificial intelligence #Computer science #Constant (computer programming) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Mathematical optimization #Mathematics #Reinforcement Learning in Robotics #Sample (material) #Sample complexity #Selection (genetic algorithm) #Task (project management) #Upper and lower bounds #stat.ML
103. Mastering the game of Go without human knowledge
     2017/10/01 by David Silver, Julian Schrittwieser, Karen Simonyan +14 · 105 citations
     Computer Science · Mathematics · Psychology · #Artificial Intelligence in Games #Artificial intelligence #Artificial neural network #Champion #Computer science #Domain (mathematical analysis) #Educational Games and Gamification #Machine learning #Mathematics #Reinforcement Learning in Robotics #Reinforcement learning #Selection (genetic algorithm) #Tree (set theory)
104. An Efficient Bandit Algorithm for Realtime Multivariate Optimization
     2017/08/04 by Daniel Hill, Daniel N Hill, Houssam Nassif +4 · 2 citations
     Business, Management and Accounting · Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Algorithm #Computer science #Consumer Market Behavior and Pricing #Focus (optics) #Image and Video Quality Assessment #Information retrieval #Machine learning #Multi-armed bandit #Optimization problem #Personalization #Selection (genetic algorithm) #Web page #World Wide Web #cs.LG #stat.ML
105. Rehabilitation of the Perdew-Burke-Ernzerhof generalized gradient approximation for layered materials
     2016/12/12 by Haowei Peng, John P. Perdew · 2 citations
     Chemistry · Materials Science · Physics and Astronomy · #2D Materials and Applications #Advanced Thermoelectric Materials and Devices #Artificial intelligence #Chemistry #Computational chemistry #Computer science #Density functional theory #Graphene research and applications #Materials science #Physics #Selection (genetic algorithm) #Statistical physics #cond-mat.mtrl-sci
106. Investigating the influence of noise and distractors on the interpretation of neural networks
     2016/11/22 by Pieter-Jan Kindermans, Kristof T. Schütt, Kristof Schütt +7 · 12 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Psychology · #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Cell Image Analysis Techniques #Cognitive psychology #Cognitive science #Computer science #Decomposition #Deep neural networks #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Image (mathematics) #Interpretation (philosophy) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Noise (video) #Psychology #Selection (genetic algorithm) #Visualization #cs.LG #stat.ML
107. Finite-time and finite-size scalings in the evaluation of large-deviation functions: Numerical approach in continuous time
     2016/07/31 by Esteban Guevara Hidalgo, Takahiro Nemoto, Vivien Lecomte · 1 citation
     Mathematics · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Applied mathematics #Computer science #Estimator #Finite set #Function (biology) #Large deviations theory #Limit (mathematics) #Mathematical analysis #Mathematical optimization #Mathematics #Physics #Population #Population size #Sample size determination #Selection (genetic algorithm) #Standard deviation #Statistical physics #Statistics #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #cond-mat.stat-mech
108. Genomic analysis of Andamanese provides insights into ancient human migration into Asia and adaptation
     2016/07/25 by Mayukh Mondal, Ferrán Casals, Ferran Casals +12 · 10 citations
     Arts and Humanities · Biochemistry, Genetics and Molecular Biology · #Adaptation (eye) #Biology #China #Demography #East Asia #Ecology #Ethnology #Evolutionary biology #Forensic Anthropology and Bioarchaeology Studies #Forensic and Genetic Research #Gene #Genetic diversity and population structure #Genetics #Genome #Geography #Human migration #Mainland #Natural selection #Out of africa #Population #Selection (genetic algorithm) #Southeast asia
109. Comparative analysis on the selection of number of clusters in community detection
     2016/06/30 by Tatsuro Kawamoto, Yoshiyuki Kabashima · 2 citations
     Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #COVID-19 epidemiological studies #Cluster analysis #Complex Network Analysis Techniques #Computer science #Data mining #Focus (optics) #Inference #Machine learning #Mathematics #Model selection #Modularity (biology) #Opinion Dynamics and Social Influence #Overfitting #Selection (genetic algorithm) #Statistical inference #Statistics #Stochastic block model #cs.SI #physics.soc-ph
110. Genome-wide patterns of selection in 230 ancient Eurasians
     2015/11/23 by Iain Mathieson, Iosif Lazaridis, Nadin Rohland +43 · 102 citations
     Biochemistry, Genetics and Molecular Biology · #Ancient DNA #Biology #Computer science #Demography #Ecology #Evolutionary biology #Forensic and Genetic Research #Gene #Genetic diversity and population structure #Genetics #Genome #Geography #Natural selection #Population #Race, Genetics, and Society #Selection (genetic algorithm) #Steppe #Transect
111. Evidence of long-term gene flow and selection during domestication from analyses of Eurasian wild and domestic pig genomes
     2015/08/31 by Laurent A F Frantz, Laurent Frantz, Joshua G. Schraiber +12 · 2 citations
     Biochemistry, Genetics and Molecular Biology · #Adaptation (eye) #Biology #Botany #Cancer-related molecular mechanisms research #Domestication #Evolutionary biology #Gene #Gene flow #Genetic Mapping and Diversity in Plants and Animals #Genetic and phenotypic traits in livestock #Genetic variation #Genetics #Genome #Population #Reproductive isolation #Reticulate #Selection (genetic algorithm)
112. Scalable Approximations of Marginal Posteriors in Variable Selection
     2015/06/22 by Willem van den Boom, Galen Reeves, Boom, Willem van den +3 · 1 citation
     Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Artificial intelligence #Bayesian Methods and Mixture Models #Computation (stat.CO) #Computer science #FOS: Computer and information sciences #Mathematical optimization #Mathematics #Scalability #Selection (genetic algorithm) #Statistical Methods and Inference #Variable (mathematics) #stat.CO
113. The origins of reproductive isolation in plants
     2015/05/05 by Eric J. Baack, Maria C. Melo, Loren H. Rieseberg +1 · 2 citations
     Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Environmental Science · #Plant and animal studies #Plant Reproductive Biology #Ecology and Vegetation Dynamics Studies #Reproductive isolation #Biology #Evolutionary biology #Gene flow #Isolation (microbiology) #Natural selection #Adaptation (eye) #Genetic algorithm #Hybrid #Selection (genetic algorithm) #Ecology #Genetics #Gene #Population #Genetic variation #Bioinformatics #Botany
114. Approximate False Positive Rate Control in Selection Frequency for Random Forest
     2014/10/10 by Ender Konukoğlu, Ender Konukoglu, Konukoglu, Ender +2 · 2 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · #Artificial intelligence #Computer science #Data mining #Engineering #FOS: Computer and information sciences #False discovery rate #False positive rate #Fault Detection and Control Systems #Feature (linguistics) #Feature selection #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine learning #Methodology (stat.ME) #Neural Networks and Applications #Pattern recognition (psychology) #Probabilistic logic #Random forest #Range (aeronautics) #Selection (genetic algorithm) #Set (abstract data type) #cs.LG #stat.ME
115. Quantum Selection of Order in anXXZAntiferromagnet on a Kagome Lattice
     2014/09/30 by A. L. Chernyshev, M. E. Zhitomirsky · 3 citations
     Physics and Astronomy · #Advanced Condensed Matter Physics #Algorithm #Artificial intelligence #Computer science #Order (exchange) #Physics #Physics of Superconductivity and Magnetism #Selection (genetic algorithm) #Topological Materials and Phenomena #cond-mat.str-el
116. Improving breeding efficiency in potato using molecular and quantitative genetics
     2014/09/03 by Anthony T. Slater, Noel O. I. Cogan, Benjamin J. Hayes +6 · 23 citations
     Agricultural and Biological Sciences · #Agronomy #Biology #Biotechnology #Computer science #Ecology #Gene #Genetics #Germplasm #Identification (biology) #Inbreeding #Inbreeding depression #Inheritance (genetic algorithm) #Molecular breeding #Outbreeding depression #Plant Disease Resistance and Genetics #Plant Pathogens and Resistance #Plant breeding #Potato Plant Research #Quantitative trait locus #Selection (genetic algorithm) #Trait
117. A guide to Bayesian model selection for ecologists
     2014/05/21 by M. B. Hooten, Mevin B. Hooten, N. Thompson Hobbs +1 · 71 citations
     Environmental Science · #Artificial intelligence #Bayesian inference #Bayesian probability #Bayesian statistics #Biology #Computer science #Data science #Ecology #Ecology and Vegetation Dynamics Studies #Inference #Machine learning #Model selection #Scope (computer science) #Selection (genetic algorithm) #Soil Geostatistics and Mapping #Species Distribution and Climate Change
118. Evolution and selection of river networks: Statics, dynamics, and complexity
     2014/02/03 by Andrea Rinaldo, Riccardo Rigon, Jayanth R. Banavar +2 · 5 citations
     Physics and Astronomy · Economics, Econometrics and Finance · Engineering · #Theoretical and Computational Physics #Complex Systems and Time Series Analysis #Slime Mold and Myxomycetes Research #Statics #Selection (genetic algorithm) #Relation (database) #Focus (optics) #Computer science #Statistical mechanics #Fluvial #Theoretical computer science #Statistical physics #Ecology #Artificial intelligence #Geology #Physics #Classical mechanics #Biology #Paleontology #Data mining
119. The effects of single-sex compared with coeducational schooling on students’ performance and attitudes: A meta-analysis.
     2014/01/01 by Erin Pahlke, Janet Shibley Hyde, Carlie M. Allison · 1 citation
     Agricultural and Biological Sciences · Social Sciences · Psychology · Medicine · #Diverse Educational Innovations Studies #School Choice and Performance #Gender Roles and Identity Studies #Single sex #Meta-analysis #Psychology #Mathematics education #Quality (philosophy) #Academic achievement #Selection (genetic algorithm) #Random effects model #Developmental psychology #Social psychology #Medicine #Computer science
120. A survey on feature selection methods
     2013/12/07 by Girish Chandrashekar, Ferat Sahin · 86 citations
     Computer Science · Mathematics · #Algorithm #Artificial intelligence #Computation #Computer science #Data mining #Dimension (graph theory) #Evolutionary Algorithms and Applications #Face and Expression Recognition #Feature (linguistics) #Feature selection #Filter (signal processing) #Focus (optics) #Machine learning #Mathematics #Neural Networks and Applications #Selection (genetic algorithm) #Variable (mathematics)

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