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

Cited by (1,001)

Items 101–200 of 1,001

1. A Review of Fault Diagnosing Methods in Power Transmission Systems
   Ali Raza, Abdeldjabar Benrabah, Thamer‎ Alquthami, Muhammad Akmal · 2020 · Applied Sciences
2. Introduction to Knowledge Discovery and Data Mining
   Oded Maimon, Lior Rokach · 2009 · Springer eBooks
3. Improving surface finish quality in extrusion-based 3D concrete printing using machine learning-based extrudate geometry control
   Wenxin Lao, Mingyang Li, Teck Neng Wong, Ming Jen Tan, Tegoeh Tjahjowidodo · 2020 · Virtual and Physical Prototyping
4. Categorizing bugs with social networks: A case study on four open source software communities
   Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer · 2013 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
5. Rapid Estimation of Road Friction for Anti-Skid Autonomous Driving
   Yuchuan Du, Chenglong Liu, Yang Song · 2019 · IEEE Transactions on Intelligent Transportation Systems
6. Structural Factors Responsible for Universal Health Coverage in Low- and Middle-Income Countries: Results From 118 Countries
   Chhabi Lal Ranabhat, Mihajlo Jakovljević, Meghnath Dhimal, Chun-Bae Kim · 2020 · Frontiers in Public Health
7. Large-scale identification of patients with cerebral aneurysms using natural language processing
   Castro, Victor M., Dligach, Dmitriy, Finan, Sean, Yu, Sheng, Can, Anil, Abd-El-Barr, Muhammad, Gainer, Vivian, Shadick, Nancy A., Murphy, Shawn, Cai, Tianxi et al. · 2017 · Neurology
8. Machine learning techniques
   Abdülhamit Subaşı · 2020 · Elsevier eBooks
9. Cortical thickness predicts the first onset of major depression in adolescence
   Foland‐Ross, Lara C., Sacchet, Matthew D., Prasad, Gautam, Gilbert, Brooke, Thompson, Paul M., Gotlib, Ian H. · 2015 · International Journal of Developmental Neuroscience
10. Gradient boosting for high-dimensional prediction of rare events
    Rok Blagus, Lara Lusa · 2016 · Computational Statistics & Data Analysis
11. The many-body expansion combined with neural networks
    Yao, Kun, Herr, John E., Parkhill, John · 2017 · The Journal of Chemical Physics
12. Prediction in HRM research–A gap between rhetoric and reality
    Marko Sarstedt, Nicholas Patrick Danks · 2021 · Human Resource Management Journal
13. MCL-V: A streaming video quality assessment database
    Joe Yuchieh Lin, Rui Song, Chi-Hao Wu, Tsung-Jung Liu, Haiqiang Wang, C.‐C. Jay Kuo · 2015 · Journal of Visual Communication and Image Representation
14. Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation
    Ivan Lorencin, Nikola Anđelić, Vedran Mrzljak, Zlatan Car · 2019 · Energies
15. Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams
    Plamen Parvanov Angelov · 2011 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
16. A unified framework for MAP estimation in remote sensing image segmentation
    Aly A. Farag, R.M. Mohamed, Ayman S El-Baz · 2005 · IEEE Transactions on Geoscience and Remote Sensing
17. Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression
    Joanna F. Dipnall, Julie Anne Pasco, Michael Berk, Lana J. Williams, Seetal Dodd, Felice N. Jacka, Denny Meyer · 2016 · PLoS ONE
18. Clustrophile 2: Guided Visual Clustering Analysis
    Marco Cavallo, Çağatay Demiralp · 2018 · IEEE Transactions on Visualization and Computer Graphics
19. Empirical study of feature selection methods based on individual feature evaluation for classification problems
    Antonio Araúzo-Azofra, José Luis Aznarte, José M. Benítez · 2010 · Expert Systems with Applications
20. Using Multivariate Regression Model with Least Absolute Shrinkage and Selection Operator (LASSO) to Predict the Incidence of Xerostomia after Intensity-Modulated Radiotherapy for Head and Neck Cancer
    Tsair-Fwu Lee, Pei‐Ju Chao, Hui-Min Ting, Liyun Chang, Yu-Jie Huang, Jiaming Wu, Hung‐Yu Wang, Mong‐Fong Horng, Chun‐Ming Chang, Jen-Hong Lan et al. · 2014 · PLoS ONE
21. Enabling online learning in lithography hotspot detection with information-theoretic feature optimization
    Hang Zhang, Bei Yu, Evangeline F. Y. Young · 2016
22. DALSA: domain adaptation for supervised learning from sparsely annotated MR images
    Goetz, Michael, Weber, Christian, Binczyk, Franciszek, Polanska, Joanna, Tarnawski, Rafal, Bobek-Billewicz, Barbara, Koethe, Ullrich, Kleesiek, Jens, Stieltjes, Bram, Maier-Hein, Klaus H. · 2016 · IEEE Transactions on Medical Imaging
23. Colbar: A collaborative location-based regularization framework for QoS prediction
    Jianwei Yin, Wei Lo, Shuiguang Deng · 2013 · Information Sciences
24. Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
    Charlene Jennifer Ong, Agni Orfanoudaki, Rebecca V. Zhang, Francois Pierre M. Caprasse, Meghan R. Hutch, Liang Ma, Darian Fard, Oluwafemi O. Balogun, Matthew I. Miller, Margaret A. Minnig et al. · 2020 · PLoS ONE
25. Density weighted support vector data description
    Myungraee Cha, Jun Seok Kim, Jun‐Geol Baek · 2013 · Expert Systems with Applications
26. Customer profitability forecasting using Big Data analytics: A case study of the insurance industry
    Kuangnan Fang, Yefei Jiang, Malin Song · 2016 · Computers & Industrial Engineering
27. Prediction of Energetic Material Properties from Electronic Structure Using 3D Convolutional Neural Networks
    Alex Casey, Steven Forrest Son, Ilias Bilionis, Brian C. Barnes · 2020 · Journal of Chemical Information and Modeling
28. A framework for joint estimation of age, gender and ethnicity on a large database
    Guodong Guo, Guowang Mu · 2014 · Image and Vision Computing
29. Exploring the Cooccurrence Patterns of Multiple Sets of Genomic Intervals
    Hao Wu, Zhaohui Steve Qin · 2013 · BioMed Research International
30. Assessing Predictive Properties of Genome-Wide Selection in Soybeans
    Alencar Xavier, William M. Muir, Katy Martin Rainey · 2016 · G3 Genes Genomes Genetics
31. SparseFIS: Data-driven Learning of Fuzzy Systems with Sparsity Constraints
    Lughofer, Stefan Kindermann · 2010 · IEEE Transactions on Fuzzy Systems
32. A global meta‐analysis of yield‐scaled N 2 O emissions and its mitigation efforts for maize, wheat, and rice
    Zhisheng Yao, Haojie Guo, Yan Wang, Yang Zhan, Tianli Zhang, Rui Wang, Xunhua Zheng, Klaus Butterbach‐Bahl · 2024 · Global Change Biology
33. A new lithography hotspot detection framework based on AdaBoost classifier and simplified feature extraction
    Tetsuaki Matsunawa, Jhih-Rong Gao, Bei Yu · 2015 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
34. Pushing the Limits of Deep CNNs for Pedestrian Detection
    Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Porikli · 2017 · IEEE Transactions on Circuits and Systems for Video Technology
35. The cost‐effectiveness of reflectance spectroscopy for estimating soil organic carbon
    Shuo Li, Raphael A. Viscarra Rossel, R. Webster · 2021 · European Journal of Soil Science
36. An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification
    Muhammad Ali Akbar, Amine Ait Si Ali, Abbes Amira · 2016 · IEEE Sensors Journal
37. Constrained low-rank matrix estimation: phase transitions, approximate message passing and applications
    Thibault Lesieur, Florent Krząkała, Lenka Zdeborová · 2017 · Journal of Statistical Mechanics Theory and Experiment
38. Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso
    Iman Kamkar, Sunil Gupta, Dinh Phung, Svetha Venkatesh · 2014 · Journal of Biomedical Informatics
39. Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles
    Xingzhi Hu, Xiaoqian Chen, Geoffrey Thomas Parks · 2016 · Progress in Aerospace Sciences
40. Machine Learning Approaches: From Theory to Application in Schizophrenia
    Elisa Veronese, Umberto Castellani, Denis Peruzzo, Marcella Bellani, Paolo Brambilla · 2013 · Computational and Mathematical Methods in Medicine
41. A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation
    Daniel Jung, Christofer Sundström · 2017 · IEEE Transactions on Control Systems Technology
42. Non-parametric machine learning methods for interpolation of spatially varying non-stationary and non-Gaussian geotechnical properties
    Chao Shi, Yu Wang · 2020 · Geoscience Frontiers
43. Time-Series Forecasting of Mortality Rates using Deep Learning
    Francesca Perla, Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich · 2020 · Scandinavian Actuarial Journal
44. Evaluation of chicken freshness using a low-cost colorimetric sensor array with AdaBoost–OLDA classification algorithm
    Quansheng Chen, Zhe Hui, Jiewen Zhao · 2014 · LWT
45. A Data-Driven Bidding Model for a Cluster of Price-Responsive Consumers of Electricity
    Javier Saez-Gallego, Juan Miguel Morales, Marco Zugno · 2016 · IEEE Transactions on Power Systems
46. Can Twitter be used to predict county excessive alcohol consumption rates?
    Brenda Curtis, Salvatore Giorgi, Anneke E. K. Buffone, Lyle Ungar, Robert D. Ashford, Jessie Hemmons, Dan Summers, Casey Hamilton, H. Andrew Schwartz · 2018 · PLoS ONE
47. Global models for time series forecasting: A Simulation study
    Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara · 2021 · Pattern Recognition
48. A computer vision system for early stage grape yield estimation based on shoot detection
    Scarlett Liu, Stephen Cossell, Julie Tang · 2017 · Computers and Electronics in Agriculture
49. Data Mining Applications in Engineering and Medicine
    Adem Karahoca A · 2012 · InTech eBooks
50. Correlates of sleep quality in midlife and beyond: a machine learning analysis
    Katherine A. Kaplan, Prajesh P. Hardas, Susan S Redline, Jamie Marc Zeitzer · 2017 · Sleep Medicine
51. Content-adaptive image downscaling
    Johannes Kopf, Ariel Shamir, Pieter Peers · 2013 · ACM Transactions on Graphics
52. Efficient Human Pose Estimation from Single Depth Images
    Jamie Shotton, Ross Girshick, Andrew W Fitzgibbon et al. · 2013 · Advances in computer vision and pattern recognition
53. Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
    David Sabbagh, Pierre Ablin, Gael P. Varoquaux, Alexandre Gramfort, Denis Alexander Engemann · 2020 · NeuroImage
54. Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
    Falv Wang, Mao Yang, Longfei Ma et al. · 2022 · Remote Sensing
55. Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach
    Gian Antonio Susto, Simone Pampuri, Andrea Schirru, Alessandro Beghi, Giuseppe De Nicolao · 2014 · Computers & Operations Research
56. Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
    Thibault Lesieur, Florent Krząkała, Lenka Zdeborová · 2017 · HAL
57. A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes
    Abdallah Chehade, Changyue Song, Kaibo Liu, Abhinav Saxena, Xi Zhang · 2018 · Journal of Quality Technology
58. Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality?
    Tamim Alsuliman, Dania Humaidan, Layth Sliman · 2020 · Current Research in Translational Medicine
59. Spatio-temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
    James H. Faghmous, Vipin Kumar · 2013 · Studies in big data
60. Detection of seizures in EEG using subband nonlinear parameters and genetic algorithm
    Kai-Cheng Hsu, Sung‐Nien Yu · 2010 · Computers in Biology and Medicine
61. Improving the Mann–Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
    Noel Pérez, Miguel Angel Guevara, Augusto Silva · 2014 · Artificial Intelligence in Medicine
62. A Brain Phenotype for Stressor‐Evoked Blood Pressure Reactivity
    P. Gianaros, Sheu K. Lei, Fatma Uyar, Jayanth Koushik, J. Jennings, T. Wager, Aarti Singh, T. Verstynen · 2017 · Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease
63. Air Pollution in India: Bridging the Gap between Science and Policy
    Khaiwal Ravindra, Maninder Kaur Sidhu, Suman Mor, Siby John, Saumyadipta Pyne · 2015 · Journal of Hazardous Toxic and Radioactive Waste
64. A reusable benchmark of brain-age prediction from M/EEG resting-state signals
    Denis Alexander Engemann, Apolline Mellot, Richard Höchenberger, Hubert J. Banville, David Sabbagh, Lukas A. W. Gemein, Tonio Ball A, Alexandre Gramfort · 2022 · NeuroImage
65. A Review on Plant Disease Detection Using Hyperspectral Imaging
    Rakiba Rayhana, Zhenyu Ma, Zheng Liu, Gaozhi George Xiao, Yuefeng Ruan, Jatinder Singh Sangha · 2023 · IEEE Transactions on AgriFood Electronics
66. iShadow
    Addison Mayberry, Pan Hu, Benjamin M. Marlin · 2014 · International Conference on Mobile Systems, Applications, and Services
67. Parkinson disease detection using energy direction features based on EMD from voice signal
    Tao Zhang, Yajuan Zhang, Hao Sun, Haoran Shan · 2020 · Journal of Applied Biomedicine
68. Coatings and clusters of carboxylic acids in carbon‐containing atmospheric particles from spectromicroscopy and their implications for cloud‐nucleating and optical properties
    Satoshi Takahama, Shang Liu, Lynn Monica Russell · 2010 · Journal of Geophysical Research Atmospheres
69. Predicting uniaxial compressive strength of oil palm shell concrete using a hybrid artificial intelligence model
    Junfei Zhang, Dong Li, Yuhang Wang · 2020 · Journal of Building Engineering
70. Climate-sensitive integrated stand growth model (CS-ISGM) of Changbai larch (Larix olgensis) plantations
    Xiangdong Lei, Li Yu, Lingxia Hong · 2016 · Forest Ecology and Management
71. Examples of the Use of Data Mining Methods in Animal Breeding
    Wilhelm Grzesiak, Daniel Zaborski · 2012 · InTech eBooks
72. Security Enhancement for Mobile Edge Computing Through Physical Layer Authentication
    Runfa Liao, Hong Wen, Jinsong Wu · 2019 · IEEE Access
73. Vegetation and Topographic Control on Spatial Variability of Soil Organic Carbon
    Ines Oueslati, Paola Allamano, Eleonora Bonifacio, Pierluigi Claps · 2012 · Pedosphere
74. Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes
    Javier Hernandez, Gustavo Adolfo Lobos, Iván A. Matus, Alejandro del Pozo, Paola Silva, Mauricio Galleguillos · 2015 · Remote Sensing
75. Combining model-based diagnosis and data-driven anomaly classifiers for fault isolation
    Daniel Jung, Kok Yew Ng, Erik Frisk · 2018 · Control Engineering Practice
76. Seismic demand amplification of steel frames with SMAs induced by earthquake sequences
    Ke Ke, Xuhong Zhou, Min Zhu · 2023 · Journal of Constructional Steel Research
77. Feature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L1/2 +2 Regularization
    Haihui Huang, Xiaoying Liu, Yong Qi Liang · 2016 · PLoS ONE
78. Assessing Wheat Traits by Spectral Reflectance: Do We Really Need to Focus on Predicted Trait-Values or Directly Identify the Elite Genotypes Group?
    Miguel Garriga, Sebastián Romero‐Bravo, Félix Estrada, Alejandro Escobar, Iván A. Matus, Alejandro del Pozo, César A. Astudillo, Gustavo Adolfo Lobos · 2017 · Frontiers in Plant Science
79. Relative-error approximate versions of Douglas–Rachford splitting and special cases of the ADMM
    Jonathan Eckstein, Wang Yao · 2017 · Mathematical Programming
80. Radio Identity Verification-Based IoT Security Using RF-DNA Fingerprints and SVM
    Donald R. Reising, Joseph Cancelleri, Thomas Daniel Loveless · 2020 · IEEE Internet of Things Journal
81. Predicting Solar Flares with Machine Learning: Investigating Solar Cycle Dependence
    Xiantong Wang, Yang Chen, G. Tóth, Ward B. Manchester, Tamas I. Gombosi, Alfred O. Hero, Zhenbang Jiao, Hu Sun, Meng Jin, Yang Liu · 2020 · The Astrophysical Journal
82. Performance Comparison of Machine Learning Techniques on Diabetes Disease Detection
    Adel Al-Zebari, Abdulkadir Şengür · 2019 · International Informatics and Software Engineering Conference (IISEC)
83. Improving the k–ω–γ–Ar transition model by the field inversion and machine learning framework
    Muchen Yang, Zhixiang Xiao · 2020 · Physics of Fluids
84. Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting
    Claudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi · 2016 · Health Informatics Journal
85. Multi-Hypergraph Learning for Incomplete Multimodality Data
    Mingxia Liu, Yue Gao, Pew‐Thian Yap, Dinggang G. Shen · 2017 · IEEE Journal of Biomedical and Health Informatics
86. Generalized k-means-based clustering for temporal data under weighted and kernel time warp
    Saeid Soheily-Khah, Ahlame Douzal-Chouakria, Éric Gaussier · 2016 · Pattern Recognition Letters
87. ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks
    Bakht Sher Ali, Inam Ullah, Tamara Al Shloul, Izhar Ahmed Khan, Ijaz Muhammad Khan, Yazeed Yasin Ghadi, Akmalbek Bobomirzaevich Abdusalomov, Rashid Nasimov, Khmaies Ouahada, Habib Hamam · 2023 · The Journal of Supercomputing
88. National-scale cropland mapping based on spectral-temporal features and outdated land cover information
    François Waldner, Matthew C. Hansen, Peter V. Potapov, Fabian Löw, Terry Newby, Stefanus Ferreira, Pierre Defourny · 2017 · PLoS ONE
89. A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning
    Iván López-Arévalo, Edwin Aldana-Bobadilla, Alejandro Molina-Villegas, Hiram Galeana‐Zapién, Víctor Muñiz-Sánchez, Saul Gausin-Valle · 2020 · Entropy
90. A Novel Phenology Based Feature Subset Selection Technique Using Random Forest for Multitemporal PolSAR Crop Classification
    Siddharth Hariharan, Dipankar Mandal, Siddhesh Tirodkar · 2018 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
91. Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment
    Tao Shi, Hui Ma, Gang Chen · 2020 · IEEE Transactions on Parallel and Distributed Systems
92. Transporter genes in biosynthetic gene clusters predict metabolite characteristics and siderophore activity
    Alexander Crits‐Christoph, Nicholas Bhattacharya, Matthew R. Olm, Yun S. Song, Jillian F. Banfield · 2020 · Genome Research
93. Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model
    Ari Frankel, Kousuke Tachida, Reese E. Jones · 2020 · Machine Learning Science and Technology
94. Deep Residual Neural Networks Resolve Quartet Molecular Phylogenies
    Zhengting Zou, Hongjiu Zhang, Yuanfang Guan, Jianzhi Zhang · 2019 · Molecular Biology and Evolution
95. Identification of primary effecters of N2O emissions from full-scale biological nitrogen removal systems using random forest approach
    Min Joon Song, Sangki Choi, Wo Bin Bae · 2020 · Water Research
96. Improved Understanding of How Catchment Properties Control Hydrological Partitioning Through Machine Learning
    Shujie Cheng, Lei Cheng, Shujing Qin, Lu Zhang, Pan Liu, Liu Liu, Zhicheng Xu, Qilin Wang · 2022 · Water Resources Research
97. Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data
    Essam Halim Houssein, Mosa E. Hosney, Waleed M. Mohamed, Abdelmgeid Amin Ali, Eman M. G. Younis · 2022 · Neural Computing and Applications
98. Group-regularized individual prediction: theory and application to pain
    Martin A. Lindquist, Anjali Krishnan, Marina López‐Solà, Marieke Jepma, Choong‐Wan Woo, Leonie Koban, Mathieu Roy, Lauren Yvette Atlas, Liane Schmidt, Luke J. Chang et al. · 2015 · NeuroImage
99. A Novel Chaotic Interior Search Algorithm for Global Optimization and Feature Selection
    Sankalap Arora, Manik Sharma, Priyanka Anand · 2020 · Applied Artificial Intelligence
100. Identification of Crystalline Materials with Ultra-Low Thermal Conductivity Based on Machine Learning Study
     Xinming Wang, Shuming Zeng, Zhuchi Wang, Jun Ni · 2020 · The Journal of Physical Chemistry C