The elements of statistical learning: Data mining, inference, and prediction

Cited by (1,001)

Items 501–600 of 1,001

1. Machine learning and hurdle models for improving regional predictions of stream water acid neutralizing capacity
   Nicholas A. Povak, Paul F. Hessburg, Keith M. Reynolds · 2013 · Water Resources Research
2. A Statistical Threat Assessment
   Samuel H. Huddleston, Donald E. Brown · 2009 · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
3. Lithofacies Classification of Thin-Layered Turbidite Reservoirs Through the Integration of Core Data and Dielectric-Dispersion Log Measurements
   Marco Pirrone, A. Battigelli, Livio Ruvo · 2016 · SPE Reservoir Evaluation & Engineering
4. Identification of Rare Variants in Metabolites of the Carnitine Pathway by Whole Genome Sequencing Analysis
   Akram Yazdani, Azam Yazdani, Xiaoming Liu, Eric Boerwinkle · 2016 · Genetic Epidemiology
5. Phenotyping analysis of maize stem using micro-computed tomography at the elongation and tasseling stages
   Ying Wen Zhang, Liming Ma, Jinglu Wang · 2020 · Plant Methods
6. Stochastic Tree Ensembles for Regularized Nonlinear Regression
   Jingyu He, P. Richard Hahn · 2021 · Journal of the American Statistical Association
7. Brain Predictors of Individual Differences in Placebo Responding
   Leonie Koban, Luka L. Ruzic, Tor Dessart Wager · 2013 · Elsevier eBooks
8. Understanding Data Breach: A Visualization Aspect
   Liyuan Liu, Meng Han, Yan Wang · 2018 · Lecture notes in computer science
9. Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations
   Iulian Gabur, Danut Petru Simioniuc, Rod John Snowdon, Dan Cristea · 2022 · Frontiers in Artificial Intelligence
10. Thek-nearest neighbor technique with local linear regression
    Steen Magnussen, Erkki Tomppo · 2014 · Scandinavian Journal of Forest Research
11. Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers
    David Joseph Munzer, Siawpeng Er, Minshuo Chen · 2020 · Digest of papers - IEEE Radio Frequency Integrated Circuits Symposium
12. Improving Sports Outcome Prediction Process Using Integrating Adaptive Weighted Features and Machine Learning Techniques
    Chi-Jie Lu, Tian‐Shyug Lee, Chien-Chih Wang · 2021 · Processes
13. Deep Reinforcement Learning-Based Spectrum Allocation Algorithm in Internet of Vehicles Discriminating Services
    Zheng Guan, Yuyang Wang, Min He · 2022 · Applied Sciences
14. Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text
    Joanna F. Dipnall, Jueqing Lu, Belinda J. Gabbe, Filip Cosic, Elton R. Edwards, Richard S. Page, Lan Du · 2022 · European Journal of Radiology
15. High‐Cost Users of Prescription Drugs: A Population‐Based Analysis from British Columbia, Canada
    Deirdre Weymann, Kate Smolina, Emilie J. Gladstone · 2016 · Health Services Research
16. Convergence and divergence of neurocognitive patterns in schizophrenia and depression
    Sugai Liang, Matthew Robert Graham Brown, Wei Deng, Qiang Wang, Xiaohong Ma, Mingli Li, Xun Hu, Michal Juhás, Xin‐Min Li, Russell Greiner et al. · 2017 · Schizophrenia Research
17. Unsupervised Uncertainty Estimation Using Spatiotemporal Cues in Video Saliency Detection
    Tariq A. Alshawi, Zhiling Long, Ghassan AlRegib · 2018 · IEEE Transactions on Image Processing
18. Classification of rainfall radar images using the scattering transform
    Mathieu Lagrange, Hervé Andrieu, Isabelle Emmanuel · 2016 · Journal of Hydrology
19. Induction motor fault diagnosis using multiple class feature selection
    Xueliang Yang, Ruqiang Yan, Robert X. Gao · 2015 · IEEE International Instrumentation and Measurement Technology Conference
20. Artificial mental phenomena
    Lizhen Liang, Daniel Ernesto Acuna · 2020 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
21. Data-Driven Incentive Design in the Medicare Shared Savings Program
    Anil J. Aswani, Zuo‐Jun Max Shen · 2016 · SSRN Electronic Journal
22. Drug Side-Effect Prediction Via Random Walk on the Signed Heterogeneous Drug Network
    Baofang Hu, Hong Wang, Zhenmei Yu · 2019 · Molecules
23. A survey on machine learning based light curve analysis for variable astronomical sources
    Ce Yu, Kun Li, Yanxia Zhang, Jian Xiao, Chenzhou Cui, Yihan Tao, Shanjiang Tang, Chao Sun, Chongke Bi · 2021 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
24. Assessing the Effects of Urban Morphology Parameters on PM2.5 Distribution in Northeast China Based on Gradient Boosted Regression Trees Method
    Peng Ju Cui, Chunyu Dai, Jun Zhang · 2022 · Sustainability
25. CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities
    Gürkan Solmaz, Pankaj Baranwal, Flavio Cirillo · 2022 · IEEE International Conference on Pervasive Computing and Communications
26. Voice conversion based on feature combination with limited training data
    Mostafa Ghorbandoost, Abolghasem Sayadiyan, Mohsen Ahangar, Hamid Sheikhzadeh, Abdoreza Sabzi Shahrebabaki, Jamal Amini · 2014 · Speech Communication
27. Biological Networks for Predicting Chemical Hepatocarcinogenicity Using Gene Expression Data from Treated Mice and Relevance across Human and Rat Species
    Reuben Thomas, Russell S. Thomas, Scott S. Auerbach · 2013 · PLoS ONE
28. Multistep virtual metrology approaches for semiconductor manufacturing processes
    Simone Pampuri, Andrea Schirru, Gian Antonio Susto · 2012 · 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
29. A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis
    Igor Shuryak, Helen C. Turner, Jay R. Perrier et al. · 2020 · Scientific Reports
30. Detection and classification of landmines using machine learning applied to metal detector data
    Lise Safatly, M. Baydoun, M. Alipour · 2020 · Journal of Experimental & Theoretical Artificial Intelligence
31. simrel — A versatile tool for linear model data simulation based on the concept of a relevant subspace and relevant predictors
    Solve Sæbø, Trygve Almøy, Inge Svein Helland · 2015 · Chemometrics and Intelligent Laboratory Systems
32. Weighted p-norm distance t kernel SVM classification algorithm based on improved polarization
    Wenbo Liu, Shengnan Liang, Xiwen Qin · 2022 · Scientific Reports
33. A method for defining management units based on genetically determined close relatives
    Jan-Magnus Økland, Øystein Ariansen Haaland, Hans Julius Skaug · 2009 · ICES Journal of Marine Science
34. Mild cognitive impairment understanding: an empirical study by data-driven approach
    Liyuan Liu, Bingchen Yu, Meng Han · 2019 · BMC Bioinformatics
35. Knockoff boosted tree for model-free variable selection
    Tao Jiang, Yuanyuan Li, Alison A. Motsinger‐Reif · 2020 · Bioinformatics
36. Identification of key predictors of hospital mortality in critically ill patients with embolic stroke using machine learning
    Wei Yong Liu, Wei Ma, Na Bai, Chunyan Li, Kuang-Pin Liu, Jinwei Yang, Sijia Zhang, Kewei Zhu, Qiang Zhou, Hua Liu et al. · 2022 · Bioscience Reports
37. Clustering-based spatial transfer learning for short-term ozone forecasting
    Tuo Deng, Astrid Manders, Jianbing Jin, Hai Xiang Lin · 2022 · Journal of Hazardous Materials Advances
38. Intelligent feature selection model based on particle swarm optimization to detect phishing websites
    Theyab R. Alsenani, Safial Islam Ayon, Sayeda Mayesha Yousuf · 2023 · Multimedia Tools and Applications
39. Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization
    Hasan Ulutaş, Recep Batuhan Günay, Muhammet Emin Şahin · 2024 · Neural Computing and Applications
40. Toward E-Motion-Based Music Retrieval a Study of Affective Gesture Recognition
    Denis Amelynck, Maarten Grachten, L. van Noorden, Marc Leman · 2012 · IEEE Transactions on Affective Computing
41. Biodiversity Assessment Using Hierarchical Agglomerative Clustering and Spectral Unmixing over Hyperspectral Images
    Ollantay Medina, Vidya B. Manian, J. Danilo Chinea · 2013 · Sensors
42. Qualitative path estimation: A fast and reliable algorithm for qualitative trend analysis
    Kris Villez · 2015 · AIChE Journal
43. VAED: VMI‐assisted evasion detection approach for infrastructure as a service cloud
    Preeti Mishra, Emmanuel S. Pilli, Vijay Varadharajan · 2017 · Concurrency and Computation Practice and Experience
44. Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example
    Sebastian J. Teran Hidalgo, Michael C. Wu, Stephanie Mulherin Engel, Michael R. Kosorok · 2018 · Computational Statistics & Data Analysis
45. A latent topic model with Markov transition for process data
    Haochen Xu, Guanhua Fang, Zhiliang Ying · 2020 · British Journal of Mathematical and Statistical Psychology
46. Red blood cell classification on thin blood smear images for malaria diagnosis
    Budi Sunarko, D Djuniadi, Murk J. Bottema · 2020 · Journal of Physics Conference Series
47. Effective Parameterization of PEM Fuel Cell Models—Part II: Robust Parameter Subset Selection, Robust Optimal Experimental Design, and Multi-Step Parameter Identification Algorithm
    Alireza Goshtasbi, Jixin Chen, James R. Waldecker, Shin‐ichi Hirano, Tulga Ersal · 2020 · Journal of The Electrochemical Society
48. New technologies to improve healthcare in low- and middle-income countries: Global Grand Challenges satellite event, Oxford University Clinical Research Unit, Ho Chi Minh City, 17th-18th September 2019
    Minh Ngoc Dinh, Joseph Nygate, Hoang Minh Tu Van, Louise Thwaites, Global Grand Challenges Event Vietnam Group · 2020 · Wellcome Open Research
49. Predicting Condition of Sanitary Sewer Pipes with Gradient Boosting Tree
    Mohammadrza Malek Mohammadi, Mohammad Najafi, Nazanin Salehabadi · 2020 · ASCE Pipelines Conference
50. Approximation Algorithms for Training One-Node ReLU Neural Networks
    Santanu Subhas Dey, Guanyi Wang, Yao Xie · 2020 · IEEE Transactions on Signal Processing
51. Facial Expression Recognition Based on Multi-Features Cooperative Deep Convolutional Network
    Haopeng Wu, Zhiying Lu, Jianfeng Zhang, Xin Li, Mingyue Zhao, Xudong Ding · 2021 · Applied Sciences
52. MoRE: Multi-output residual embedding for multi-label classification
    Siyu Liu, Xuehua Song, Zhongchen Ma · 2022 · Pattern Recognition
53. Fault classification on Tennessee Eastman process: PCA and SVM
    Chen Jing, Xin Gao, Xiangping Zhu · 2014 · International Conference on Mechatronics and Control
54. A practical approach to the early identification of antidepressant medication non-responders
    Jialiang Li, Anthony Y. C. Kuk, Augustus John Rush · 2011 · Psychological Medicine
55. Improved road centerlines extraction in high-resolution remote sensing images using shear transform, directional morphological filtering and enhanced broken lines connection
    Ruyi Liu, Qiguang Miao, Bormin Huang · 2016 · Journal of Visual Communication and Image Representation
56. Predicting software revision outcomes on GitHub using structural holes theory
    Libo Li, Frank Goethals, Bart Baesens · 2016 · Computer Networks
57. Stroke Treatment Prediction Using Features Selection Methods and Machine Learning Classifiers
    Ikram Chourib, G. Guillard, Imed Riadh Farah · 2022 · IRBM
58. Global patterns of allometric model parameters prediction
    Zixuan Wang, Xingzhao Huang, Fangbing Li, Dongsheng Chen, Xiaoniu Xu · 2023 · Scientific Reports
59. Revealing Media Bias in News Articles
    Felix Hamborg · 2023 · Springer eBooks
60. Autonomous mining for alarm correlation patterns based on time-shift similarity clustering in manufacturing system
    Yan Chen, Jay Lee · 2011 · IEEE Conference on Prognostics and Health Management
61. The Impact of Feature Selection Techniques on the Performance of Predicting Parkinson’s Disease
    Abdullah Al Imran, A. Abdul Rahman, Humayoun Kabir · 2018 · International Journal of Information Technology and Computer Science
62. A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data
    Jingyi Zheng, Fushing Hsieh, Linqiang Ge · 2019 · IEEE Transactions on Computational Biology and Bioinformatics
63. Performance evaluation of deep neural networks for forecasting time‐series with multiple structural breaks and high volatility
    Rohit Kaushik, Shikhar Jain, Siddhant Jain · 2021 · CAAI Transactions on Intelligence Technology
64. Identification of Human Breathing-States Using Cardiac-Vibrational Signal for m-Health Applications
    Tilendra Choudhary, Laxmi Narayan Sharma, Manas Kamal Bhuyan, Kangkana Bora · 2020 · IEEE Sensors Journal
65. Approach and Landing Aircraft On-Board Parameters Estimation with LSTM Networks
    Gabriel Jarry, Daniel Delahaye, Éric Féron · 2020
66. An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design
    Rémy Priem, Hugo Gagnon, Ian R. Chittick · 2020 · Open Archive Toulouse Archive Ouverte (University of Toulouse)
67. Effectiveness of Shrinkage and Variable Selection Methods for the Prediction of Complex Human Traits using Data from Distantly Related Individuals
    Swetlana Berger, Paulino Pérez‐Rodríguez, Yogasudha Veturi, Henner Simianer, Gustavo de los Campos · 2015 · Annals of Human Genetics
68. Least angle regression for model selection
    Hongyang Zhang, Ruben H. Zamar · 2014 · Wiley Interdisciplinary Reviews Computational Statistics
69. Logical analysis of multi-class data
    Juan Félix Ávila Herrera, Munevver Mine Subasi · 2015
70. An Intelligent Decision System for Intraoperative Somatosensory Evoked Potential Monitoring
    Bi Fan, Han‐Xiong Li, Yong Sheng Hu · 2015 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
71. An adaptive SVM-based real-time scheduling mechanism and simulation for multiple-load carriers in automobile assembly lines
    Binghai Zhou, Jiahui Xu · 2017 · Advances in Complex Systems
72. Sparse Bayesian learning for network structure reconstruction based on evolutionary game data
    Keke Huang, Wenfeng Deng, Yichi Zhang, Hongqiu Zhu · 2019 · Physica A Statistical Mechanics and its Applications
73. A Combinatorial Searching Method for Detecting a Set of Interacting Loci Associated with Complex Traits
    Qiuying Sha, Xiaofeng Zhu, Yijun Zuo, Richard Cooper, Shuanglin Zhang · 2006 · Annals of Human Genetics
74. Lacustrine versus Marine Oils: Fast and Accurate Molecular Discrimination via Electrospray Fourier Transform Ion Cyclotron Resonance Mass Spectrometry and Multivariate Statistics
    Jose Javier Melendez-Perez, Luan Felipe Campos Oliveira, Nubia Miranda · 2020 · Energy & Fuels
75. Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance
    Matthew Almeida, Yong Zhuang, Wei Ding · 2021 · ACM Transactions on Knowledge Discovery from Data
76. Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types
    Andreea Ionela Dumachi, Cătălin Buiu · 2024 · Electronics
77. Hierarchical analog circuit reliability analysis using multivariate nonlinear regression and active learning sample selection
    Elie Maricau, Dimitri De Jonghe, Georges E. Gielen · 2012 · Design, Automation, and Test in Europe
78. Assets of imputation to ultra-high density for productive and functional traits
    José Antonio Jiménez-Montero, Daniel Gianola B, KENT A. WEIGEL, R. Alenda, Óscar González-Recio · 2013 · Journal of Dairy Science
79. The Different Dose-Volume Effects of Normal Tissue Complication Probability Using LASSO for Acute Small-Bowel Toxicity during Radiotherapy in Gynecological Patients with or without Prior Abdominal Surgery
    Tsair-Fwu Lee, Eng‐Yen Huang · 2014 · BioMed Research International
80. Generalization of optimal motion trajectories for bipedal walking
    Alexander Werner, Dietrich Trautmann, Dongheui Lee, Roberto Lampariello · 2015 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
81. Testing the monophyly of Aesculus L. and Billia Peyr., woody genera of tribe Hippocastaneae of the Sapindaceae
    A.J. HARRIS, Chengxin Fu, Qiu‐Yun Xiang · 2016 · Molecular Phylogenetics and Evolution
82. Engine Fault Diagnosis Combining Model-based Residuals and Data-Driven Classifiers
    Daniel Jung · 2019 · IFAC-PapersOnLine
83. Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran
    Nazli Turini, Boris Thies, Jörg Bendix · 2019 · Remote Sensing
84. Machine learning techniques for estimation of Los Angeles abrasion value of rock aggregates
    Mojtaba Asadi, Abbasali Taghavi Ghalesari, Saurav Kumar · 2019 · European Journal of Environmental and Civil engineering
85. How biomarker patterns can be utilized to identify individuals with a high disease burden: a bioinformatics approach towards predictive, preventive, and personalized (3P) medicine
    Nina Bertele, A. Karabatsiakis, C. Buss, Anat Talmon · 2021 · The EPMA Journal
86. Simplified-Boosting Ensemble Convolutional Network for Text Classification
    Fang Zeng, Niannian Chen, Dan Yang, Zhigang Meng · 2022 · Neural Processing Letters
87. Consistent parameter estimation for LASSO and approximate message passing
    Ali Mousavi, Arian Maleki, Richard G. Baraniuk · 2017 · The Annals of Statistics
88. A statistical feature selection technique
    P. Borah, H. A. Ahmed, D. Bhattacharyya · 2014 · Network Modeling Analysis in Health Informatics and Bioinformatics
89. Race and the Decision to Seek the Death Penalty in Federal Cases
    Stephen P. Klein, Richard A. Berk, Laura J. Hickman · 2006 · RAND Corporation eBooks
90. Online Pricing with Offline Data: Phase Transition and Inverse Square Law
    Jinzhi Bu, David Simchi‐Levi, Yunzong Xu · 2019 · SSRN Electronic Journal
91. Analyzing the impact of process parameters on surface roughness and mechanical properties in FDM 3D printing using machine learning
    Ngoc Hoang Tran, Nguyen Duy Minh Phan · 2025 · International Journal on Interactive Design and Manufacturing (IJIDeM)
92. Gaussian process autoregression models for the evolution of polycrystalline microstructures subjected to arbitrary stretching tensors
    Sepideh Hashemi, Surya R. Kalidindi · 2023 · International Journal of Plasticity
93. Default return spread: A powerful predictor of crude oil price returns
    Qingxiang Han, Mengxi He, Yaojie Zhang, Muhammad Umar · 2023 · Journal of Forecasting
94. Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery
    Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz · 2025 · Remote Sensing
95. Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining
    Antonino Staiano, Lara De Vinco, Angelo Ciaramella · 2005 · Proceedings
96. Binomial Regression in R
    John Muschelli, Joshua Betz, Ravi Varadhan · 2014 · Handbook of statistics
97. Early security classification of skype users via machine learning
    Anna Leontjeva, Moisés Goldszmidt, Yinglian Xie · 2013 · ACM Workshop on Artificial Intelligence and Security (AISec)
98. Data Predictive Control for Peak Power Reduction
    Achin Jain, Rahul Mangharam, Madhur Behl · 2016
99. Graph Lasso-Based Test for Evaluating Functional Brain Connectivity in Sickle Cell Disease
    Julie Coloigner, Ronald Phlypo, Thomas D. Coates, Natasha Leporé, John C. Wood · 2017 · Brain Connectivity
100. A Bayesian Network Model for Real-time Crash Prediction Based on Selected Variables by Random Forest
     Mingxian Wu, Donghui Shan, Zuo Wang · 2019 · International Conference on Transportation Information and Safety