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

Cited by (1,001)

Items 201–300 of 1,001

1. Scalable Predictive Analysis in Critically Ill Patients Using a Visual Open Data Analysis Platform
   Sven Van Poucke, Zhongheng Zhang, Martin Schmitz, Milan Vukičević, Margot Vander Laenen, Leo Anthony Celi, Cathy De Deyne · 2016 · PLoS ONE
2. Approximate ADMM algorithms derived from Lagrangian splitting
   Jonathan Eckstein, Wang Yao · 2017 · Computational Optimization and Applications
3. Chemoinformatics—multivariate mathematical–statistical methods for data evaluation
   Károly Héberger · 2008 · Elsevier eBooks
4. Data-Driven Model Predictive Control with Regression Trees—An Application to Building Energy Management
   Achin Jain, Francesco Smarra, Madhur Behl, Rahul Mangharam · 2018 · ACM Transactions on Cyber-Physical Systems
5. A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data
   Rochus Niemierko, Jannick Töppel, Timm Tränkler · 2018 · Applied Energy
6. A Hybrid BPSO-CGA Approach for Gene Selection and Classification of Microarray Data
   Li‐Yeh Chuang, Cheng‐Huei Yang, Jung-Chike Li · 2011 · Journal of Computational Biology
7. A loss function for classification based on a robust similarity metric
   Abhishek Singh, José Carlos Príncipe · 2010 · 2022 International Joint Conference on Neural Networks (IJCNN)
8. Metabolomic profile related to cardiovascular disease in patients with type 2 diabetes mellitus: A pilot study
   Beatriz García-Fontana, Sonia Morales, Caridad Díaz, Pedro Rozas-Moreno, Olga Genilloud, Francisca Vicente Pérez, José Pérez del Palacio, Manuel Muñoz‐Torres · 2015 · Talanta
9. Error modeling for surrogates of dynamical systems using machine learning
   Sumeet Trehan, Kevin Carlberg, Louis J. Durlofsky · 2017 · International Journal for Numerical Methods in Engineering
10. Closed-loop evolutionary multiobjective optimization
    Joshua D. Knowles · 2009 · IEEE Computational Intelligence Magazine
11. Hierarchical Segmentation Using Tree-Based Shape Spaces
    Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Alain Najman · 2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence
12. An Efficient Data Partitioning to Improve Classification Performance While Keeping Parameters Interpretable
    Kristjan Korjus, Martin N. Hebart, Raúl Vicente · 2016 · PLoS ONE
13. A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images
    Ran Zhou, Fumin Guo, Mahmoud Reza Azarpazhooh, John David Spence, Eranga Ukwatta, Mingyue Ding, Aaron Fenster · 2020 · IEEE Transactions on Medical Imaging
14. Machine Learning Methods with Decision Forests for Parkinson’s Detection
    Moumita Pramanik, Ratika Pradhan, Parvati Nandy, Akash Kumar Bhoi, Paolo Barsocchi · 2021 · Applied Sciences
15. Prediction Models for Railway Track Geometry Degradation Using Machine Learning Methods: A Review
    Yingying Liao, Lei Han, Haoyu Wang · 2022 · Sensors
16. Machine learning for radiomics-based multimodality and multiparametric modeling
    Lise Wei, Sarah O.S. Osman, Mathieu Hatt, Issam El Naqa · 2019 · The Quarterly Journal of Nuclear Medicine and Molecular Imaging
17. Regularity Model for Noisy Multiobjective Optimization
    Handing Wang, Qingfu Zhang, Licheng Jiao · 2015 · IEEE Transactions on Cybernetics
18. Predicting outcome with Intranasal Esketamine treatment: A machine-learning, three-month study in Treatment-Resistant Depression (ESK-LEARNING)
    Mauro Pettorruso, Roberto Guidotti, Giacomo d’Andrea, Luisa De Risio, Antea D’Andrea, Stefania Chiappini, Rosalba Carullo, Stefano Barlati, Raffaella Zanardi, Gianluca Rosso et al. · 2023 · Psychiatry Research
19. Critical factors of electricity consumption in residential buildings: An analysis from the point of occupant characteristics view
    Xiaoxiao Xu, Bing Xiao, Clyde Zhengdao Li · 2020 · Journal of Cleaner Production
20. Market power, regulatory convergence, and the role of data in digital markets
    Jan Krämer, Michael Wohlfarth · 2017 · Telecommunications Policy
21. Oil Palm (Elaeis guineensis) Mapping with Details: Smallholder versus Industrial Plantations and their Extent in Riau, Sumatra
    Adrià Descals, Zoltan Szantoi, Erik Meijaard · 2019 · Remote Sensing
22. A pareto-based ensemble of feature selection algorithms
    Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour · 2021 · Expert Systems with Applications
23. A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
    Srigiri Krishnapriya, Yepuganti Karuna · 2023 · Health and Technology
24. A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data
    Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan · 2016 · IEEE Transactions on Computational Biology and Bioinformatics
25. Feature extraction using two-dimensional maximum embedding difference
    Minghua Wan, Ming Li, Guowei Yang · 2014 · Information Sciences
26. A bipartite matching-based feature selection for multi-label learning
    Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi–pour · 2020 · International Journal of Machine Learning and Cybernetics
27. Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region
    Yu Duan, Junnan Xiong, Weiming Cheng · 2021 · Natural Hazards
28. Efficient white-box fairness testing through gradient search
    Lingfeng Zhang, Yueling Zhang, Min Zhang · 2021 · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
29. A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran
    Omid Hamidi, Jalal Poorolajal, Majid Sadeghifar · 2014 · Theoretical and Applied Climatology
30. Augmenting service recommender systems by incorporating contextual opinions from user reviews
    Guanliang Chen, Li Chen · 2015 · User Modeling and User-Adapted Interaction
31. Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images
    R. Massafra, S. Bove, V. Lorusso, Albino Biafora, M. C. Comes, V. Didonna, S. Diotaiuti, Annarita Fanizzi, A. Nardone, A. Nolasco et al. · 2021 · Diagnostics
32. Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning
    Lamin Juwara, Navpreet Arora, Mervyn Gornitsky, Paramita Saha‐Chaudhuri, Ana Míriam Velly · 2020 · International Journal of Medical Informatics
33. Predicting PM 2.5 Concentrations Across USA Using Machine Learning
    P. Preetham Vignesh, Jonathan H. Jiang, Pangaluru Kishore · 2023 · Earth and Space Science
34. Kernel ridge regression classification
    Jinrong He, Lixin X. Ding, Lei Jiang · 2014
35. Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform
    Falk Huettmann, Yuri B. Artukhin, Olivier Gilg · 2011 · Marine Biodiversity
36. Variable selection and prediction with incomplete high-dimensional data
    Ying Liu, Yuanjia Wang, Yang Feng, Melanie M. Wall · 2016 · The Annals of Applied Statistics
37. Homoeologous gene expression and co-expression network analyses and evolutionary inference in allopolyploids
    Guanjing Hu, Corrinne E. Grover, Mark A. Arick, Meiling Liu, Daniel G. Peterson, Jonathan F. Wendel · 2020 · Briefings in Bioinformatics
38. Enhancing nuclear data validation analysis by using machine learning
    Denise Neudecker, Michael J. Grosskopf, Matthew J. Herman · 2020 · Nuclear Data Sheets
39. Efficient web service QoS prediction using local neighborhood matrix factorization
    Wei Lo, Jianwei Yin, Ying Li · 2014 · Engineering Applications of Artificial Intelligence
40. Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study
    Sugai Liang, Yinfei Li, Zhong Zhang, Xiangzhen Kong, Qiang Wang, Wei Deng, Xiaojing Li, Liansheng Zhao, Mingli Li, Yajing Meng et al. · 2018 · Schizophrenia Bulletin
41. Deep-learning based high-resolution mapping shows woody vegetation densification in greater Maasai Mara ecosystem
    Wang Li, Robert Buitenwerf, Michael Munk, Peder Klith Bøcher, Jens‐Christian Svenning · 2020 · Remote Sensing of Environment
42. Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks
    Patrick McClure, Nao Rho, John A. Lee, Jakub Kaczmarzyk, Charles Y. Zheng, Satrajit Ghosh, Dylan M. Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira · 2019 · Frontiers in Neuroinformatics
43. Optimal Cerebral Perfusion Pressure and Brain Tissue Oxygen in Aneurysmal Subarachnoid Hemorrhage
    Murad Megjhani, Miriam Weiss, Jenna L. Ford et al. · 2022 · Stroke
44. DtaRefinery, a Software Tool for Elimination of Systematic Errors from Parent Ion Mass Measurements in Tandem Mass Spectra Data Sets
    Vladislav Petyuk, Anoop M. Mayampurath, Matthew E Monroe, Ashoka D. Polpitiya, Samuel Owen Purvine, Gordon Anderson, David Camp, Richard D. Smith · 2009 · Molecular & Cellular Proteomics
45. Gaussian Cubes: Real-Time Modeling for Visual Exploration of Large Multidimensional Datasets
    Zhe Wang, Nivan Roberto Ferreira Júnior, Youhao Wei · 2016 · IEEE Transactions on Visualization and Computer Graphics
46. Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
    Agni Orfanoudaki, Emma Chesley, Christian Cadisch, Barry D. Stein, Amre M Nouh, Mark J. Alberts, Dimitris Bertsimas · 2020 · PLoS ONE
47. Population modeling with machine learning can enhance measures of mental health
    Kamalaker Dadi, Gael P. Varoquaux, Josselin Houenou, Danilo Bzdok, Bertrand Thirion, Denis Alexander Engemann · 2021 · GigaScience
48. Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification
    Bing Xue, Mengjie Zhang, Will Neil Browne · 2013 · Lecture notes in computer science
49. Photovoltaic power pattern clustering based on conventional and swarm clustering methods
    Amr Munshi, Yasser Abdel‐Rady I. Mohamed · 2015 · Solar Energy
50. High dimensional structural reliability with dimension reduction
    Zhongming Jiang, Jie Li · 2017 · Structural Safety
51. Predicting Hospital Readmission: A Joint Ensemble-Learning Model
    Kaiye Yu, Xiaolei Xie · 2019 · IEEE Journal of Biomedical and Health Informatics
52. An ultra-compact particle size analyser using a CMOS image sensor and machine learning
    Rubaiya Hussain, Mehmet A. Noyan, Getinet Taffesse Woyessa et al. · 2020 · Light Science & Applications
53. Fatigue properties and S-N curve estimating of 316L stainless steel prepared by SLM
    Fanyu Zeng, Yongtai Yang, Guian Qian · 2022 · International Journal of Fatigue
54. Reducing the loss of information and gaining accuracy with clustering methods in a global land-use model
    Dietrich, Jan Philipp, Popp, Alexander, Lotze-Campen, Hermann · 2013 · Ecological Modelling
55. Radiomics Analysis on Contrast-Enhanced Spectral Mammography Images for Breast Cancer Diagnosis: A Pilot Study
    Liliana Losurdo, Annarita Fanizzi, Teresa M. A. Basile, R. Bellotti, U. Bottigli, Rosalba Dentamaro, Vittorio Didonna, Vito Lorusso, Raffaella Massafra, Pasquale Tamborra et al. · 2019 · Entropy
56. Cardiovascular Disease Recognition Based on Heartbeat Segmentation and Selection Process
    Mehrez Boulares, Reem Alotaibi, Amal Abdullah AlMansour · 2021 · International Journal of Environmental Research and Public Health
57. Biomarkers of nanomaterials hazard from multi-layer data
    Vittorio Fortino, Pia Kinaret, Michele Fratello, Angela Serra, Laura Aliisa Saarimäki, Audrey Gallud, Govind Sharan Gupta, Gerard Vales, Manuel Correia, Omid Rasool et al. · 2022 · Nature Communications
58. A Gaussian graphical model approach to climate networks
    Tanja Zerenner, Petra Friederichs, Klaus Lehnertz, Andreas Hense · 2014 · Chaos An Interdisciplinary Journal of Nonlinear Science
59. Model selection between traditional and popular methods for standardizing catch rates of target species: A case study of Japanese Spanish mackerel in the gillnet fishery
    Zengguang Li, Zhenjiang Ye, Rong Wan · 2014 · Fisheries Research
60. Stock Return Serial Dependence and Out-of-Sample Portfolio Performance
    Victor DeMiguel, Francisco J. Nogales, Raman Uppal · 2010 · SSRN Electronic Journal
61. Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023
    Sorif Hossain, Mohammad Kamrul Hasan, Mohammad Omar Faruk · 2024 · BMC Cardiovascular Disorders
62. Portfolio Selections in P2P Lending
    Hongke Zhao, Qi Liu, Guifeng Wang · 2016 · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
63. NestNet: a multiscale convolutional neural network for remote sensing image change detection
    Xiao Yu, Junfu Fan, Jiahao Chen, Peng Zhang, Yuke Zhou, Liusheng Han · 2021 · International Journal of Remote Sensing
64. Effects of individual factors on perceived emotion and felt emotion of music: Based on machine learning methods
    Liang Xu, Xin Wen, Jiaming Shi, Shutong Li, Yuhan Xiao, Qun Wan, Xiuying Qian · 2020 · Psychology of Music
65. Is a COVID-19 Second Wave Possible in Emilia-Romagna (Italy)? Forecasting a Future Outbreak with Particulate Pollution and Machine Learning
    Silvia Mirri, Giovanni Delnevo, Marco Roccetti · 2020 · Computation
66. Design and analysis of high-sensitivity hormone sensor with KNN behavior prediction for healthcare and biomedical applications
    Jacob Wekalao, Abdullah Baz, Shobhit K. Patel · 2024 · Measurement
67. Machine learning and linear regression models to predict catchment‐level base cation weathering rates across the southern Appalachian Mountain region, USA
    Nicholas A. Povak, Paul F. Hessburg, Todd C. McDonnell, Keith M. Reynolds, Timothy J. Sullivan, R. Brion Salter, Bernard Jack Cosby · 2014 · Water Resources Research
68. Valuing walkability: New evidence from computer vision methods
    Christopher Yencha · 2019 · Transportation Research Part A Policy and Practice
69. Accelerating Quantum Approximate Optimization Algorithm using Machine Learning
    Mahabubul Alam, Abdullah Ash Saki, Swaroop Ghosh · 2020 · Design, Automation, and Test in Europe
70. Data-Driven Open-Set Fault Classification of Residual Data Using Bayesian Filtering
    Daniel Jung · 2020 · IEEE Transactions on Control Systems Technology
71. The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds
    Nicola Bodini, Mike Optis · 2020 · Wind energy science
72. Performance evaluation of anomaly-detection algorithms for mouse dynamics
    Chao Qun Shen, Zhongmin Cai, Xiaohong Guan, Roy A. Maxion · 2014 · Computers & Security
73. Multiple Fault Diagnosis in Distillation Column Using Multikernel Support Vector Machine
    Syed Ali Ammar Taqvi, Lemma Dendena Tufa, Haslinda Binti Zabiri, Abdulhalim Shah Maulud, Fahim Uddin · 2018 · Industrial & Engineering Chemistry Research
74. A novel chaotic selfish herd optimizer for global optimization and feature selection
    Priyanka Anand, Sankalap Arora · 2019 · Artificial Intelligence Review
75. Relative-error inertial-relaxed inexact versions of Douglas-Rachford and ADMM splitting algorithms
    M. Marques Alves, Jonathan Eckstein, Marina Geremia, Jefferson G. Melo · 2020 · Computational Optimization and Applications
76. Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
    César Iván Álvarez, Ana Cláudia Teodoro, Alberto Freitas, João Fonseca · 2020 · Applied Geography
77. The mRMR variable selection method: a comparative study for functional data
    José R. Berrendero, Antonio Cuevas, José L. Torrecilla · 2015 · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
78. Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms
    Reza Daneshfar, Amin Bemani, Masoud Hadipoor · 2020 · Applied Sciences
79. A cautionary note on the use of hypervolume kernel density estimators in ecological niche modelling
    Huijie Qiao, Luis E. Escobar, Erin E. Saupe · 2016 · Global Ecology and Biogeography
80. Linking teleconnection patterns to European temperature – a multiple linear regression model
    Henning W. Rust, Andy Richling, Peter Bissolli · 2015 · Meteorologische Zeitschrift
81. Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association
    Wei J. Chen, Mao-Jhen Jhou, Tian‐Shyug Lee, Chi-Jie Lu · 2021 · Entropy
82. Using Species Distribution Model to Estimate the Wintering Population Size of the Endangered Scaly-Sided Merganser in China
    Qing Zeng, Yamian Zhang, Gongqi Sun · 2015 · PLoS ONE
83. Classification of wine quality with imbalanced data
    Gongzhu Hu, Tan Xi, Faraz Mohammed · 2016 · IEEE International Conference on Industrial Technology (ICIT)
84. Persistent changes in the horizontal and vertical canopy structure of fire-tolerant forests after severe fire as quantified using multi-temporal airborne lidar data
    Yogendra K. Karna, T. Penman, C. Aponte, N. Hinko-Najera, Lauren T. Bennett · 2020 · Forest Ecology and Management
85. A Random Forest-Based Data Fusion Method for Obtaining All-Weather Land Surface Temperature with High Spatial Resolution
    Shuo Xu, Jie Cheng, Quan Zhang · 2021 · Remote Sensing
86. Predicting Commercial Vehicle Parking Duration using Generative Adversarial Multiple Imputation Networks
    Raymond Low, Zeynep Duygu Tekler, Lynette W. Cheah · 2020 · Transportation Research Record Journal of the Transportation Research Board
87. National forest inventories in the service of small area estimation of stem volume
    Steen Magnussen, Daniel Mandallaz, Johannes Breidenbach, Adrian Lanz, Christian Ginzler · 2014 · Canadian Journal of Forest Research
88. Life History Traits and Niche Instability Impact Accuracy and Temporal Transferability for Historically Calibrated Distribution Models of North American Birds
    Guinevere O. U. Wogan · 2016 · PLoS ONE
89. Temporal Pattern Recognition in Gait Activities Recorded With a Footprint Imaging Sensor System
    Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan · 2016 · IEEE Sensors Journal
90. Evaluating Imputation Algorithms for Low-Depth Genotyping-By-Sequencing (GBS) Data
    Ariel W. Chan, Martha T. Hamblin, Jean‐Luc Jannink · 2016 · PLoS ONE
91. Prediction of RecurrentClostridium DifficileInfection Using Comprehensive Electronic Medical Records in an Integrated Healthcare Delivery System
    Gabriel J. Escobar, Jennifer M. Baker, Patricia Kipnis, J Greene, Thomas Christopher Mast, Swati B. Gupta, Nicole Cossrow, Vinay Mehta, Vincent X. Liu, Erik R. Dubberke · 2017 · Infection Control and Hospital Epidemiology
92. Real-Time Privacy-Preserving Data Release for Smart Meters
    Mohammadhadi Shateri, Francisco Javier Messina, Pablo Piantanida, Fabrice Labeau · 2020 · IEEE Transactions on Smart Grid
93. Real-Time Privacy-Preserving Data Release for Smart Meters
    Mohammadhadi Shateri, Francisco Javier Messina, Pablo Piantanida · 2020 · eScholarship@McGill (McGill)
94. Machine learning‐based cognitive impairment classification with optimal combination of neuropsychological tests
    Abhay Gupta, Bratati Kahali · 2020 · Alzheimer s & Dementia Translational Research & Clinical Interventions
95. Finding overlapping communities based on Markov chain and link clustering
    Xiaoheng Deng, Genghao Li, Mianxiong Dong · 2016 · Peer-to-Peer Networking and Applications
96. From snapshots to manifolds – a tale of shear flows
    E. Farzamnik, Andrea Ianiro, Stefano Discetti · 2023 · Journal of Fluid Mechanics
97. Computational Biomarker Pipeline from Discovery to Clinical Implementation: Plasma Proteomic Biomarkers for Cardiac Transplantation
    Gabriela V. Cohen Freue, Anna Meredith, DEREK S. H. SMITH, Axel Bergman, Mayu Sasaki, Karen Lam, Zsuzsanna Hollander, Nina Opushneva, Mandeep Takhar, David T S Lin et al. · 2013 · PLoS Computational Biology
98. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades
    Zhiwei Zhang, Jingjing Xiao, Shandong Wu · 2020 · Journal of Imaging Informatics in Medicine
99. Environmental controls of soil fungal abundance and diversity in Australia's diverse ecosystems
    Raphael A. Viscarra Rossel, Yuanyuan Yang, Andrew B. Bissett, Thorsten Behrens, Kingsley Wayne Dixon, Paul Nevill, Shuo Li · 2022 · Soil Biology and Biochemistry
100. Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients
     Joanna Szaleniec, Maciej Wiatr, Maciej Szaleniec · 2012 · Computers in Biology and Medicine