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

Cited by (1,001)

Items 701–800 of 1,001

1. Applying a probabilistic seismic-petrophysical inversion and two different rock-physics models for reservoir characterization in offshore Nile Delta
   Mattia Aleardi · 2017 · Journal of Applied Geophysics
2. Persian Classical Music Instrument Recognition (PCMIR) Using a Novel Persian Music Database
   Seyed Muhammad Hossein Mousavi, V. B. Surya Prasath, Seyed Muhammad Hassan Mousavi · 2019 · International Conference on Computer and Knowledge Engineering
3. Evaluation of postmortem microarray data in bipolar disorder using traditional data comparison and artificial intelligence reveals novel gene targets
   Jaehyoung Choi, David Frederick Bodenstein, Joseph Geraci, Ana C. Andreazza · 2021 · Journal of Psychiatric Research
4. Energy Efficient Data Mining Scheme for High Dimensional Data
   Mohammad Abdulaziz Alwadi, Girija Chetty · 2015 · Procedia Computer Science
5. Hamming Distance based Clustering Algorithm
   Ritu Vijay, Prerna Mahajan, Rekha Kandwal · 2012 · International Journal of Information Retrieval Research
6. Community Detection in Social Networks
   Chang Su, Yu Kun Wang, Yue Yu · 2014 · Applied Mechanics and Materials
7. B Cells With High Side Scatter Parameter by Flow Cytometry Correlate With Inferior Survival in Diffuse Large B-Cell Lymphoma
   Ali Bashashati, Nathalie A. Johnson, Alireza Hadj Khodabakhshi, Matthew D. Whiteside, Habil Zare, David W. Scott, Kenneth Lo, Raphaël Gottardo, Fiona S. L. Brinkman, Joseph Michael Connors et al. · 2012 · American Journal of Clinical Pathology
8. Application of Logistic Regression with Fixed Memory Step Gradient Descent Method in Multi-Class Classification Problem
   Yuan Sun, Zhihao Zhang, Zan Yang · 2019 · International Conference on Systems and Informatics (ICSAI)
9. The Role of Spiking Neurons for Visual Perception of a Partner Robot
   Naoyuki Kubota, K. Nishida · 2006 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
10. Anisotropic neighborhood searching for point cloud with sharp feature
    Xiaocui Yuan, Baoling Liu, Yongli Ma · 2020 · Measurement and Control
11. A novel intelligent displacement prediction model of karst tunnels
    Haiying Fu, Yanyan Zhao, Haojiang Ding, Yunkang Rao, Tao Yang, Mingzhe Zhou · 2022 · Scientific Reports
12. A Deep Factor Model for Crop Yield Forecasting and Insurance Ratemaking
    Wenjun Zhu · 2023 · North American Actuarial Journal
13. A machine learning approach to predicting 30-day mortality following paediatric cardiac surgery: findings from the Australia New Zealand Congenital Outcomes Registry for Surgery (ANZCORS)
    Kim Steven Betts, Supreet Prakash Marathe, Kevin E. K. Chai, Igor E. Konstantinov, Ajay J. Iyengar, Jessica M. Suna, ANZCORS Collaborative, David Andrews, Johann Brink, Christian Pierre Brizard et al. · 2023 · European Journal of Cardio-Thoracic Surgery
14. Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine
    Davide Ilardi, Miltiadis Kalikatzarakis, Luca Oneto · 2023 · IEEE Access
15. Proportional hazard model with ℓ1 Penalization applied to Predictive Maintenance in semiconductor manufacturing
    Simone Pampuri, Andrea Schirru, Cristina De Luca · 2011 · 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
16. Novel Methods for Surface EMG Analysis and Exploration Based on Multi-Modal Gaussian Mixture Models
    Anna Vögele, Rebeka Roza Zsoldos, Björn Krüger, Theresia Franziska Licka · 2016 · PLoS ONE
17. Mining shopping data with passive tags via velocity analysis
    Jumin Zhao, Like Wang, Dengao Li · 2018 · EURASIP Journal on Wireless Communications and Networking
18. Predicting Passenger Flow at Charles De Gaulle Airport Security Checkpoints
    Philippe Monmousseau, Gabriel Jarry, Florian Bertosio · 2020
19. Detection of Asphalt Pavement Segregation Using Machine Learning Linear and Quadratic Discriminant Analyses
    Austin Arunika, Jaka Fajar Fatriansyah, Venia Andira Ramadheena · 2022 · Evergreen
20. Prediction of rupture and perforation limits of pressurised X80 pipelines using BP neural networks and generalised additive models
    You Zhou, Shuhua Zhang · 2022 · Ocean Engineering
21. Integration of transcription regulation and functional genomic data reveals lncRNA SNHG6’s role in hematopoietic differentiation and leukemia
    Joshua M. Hazan, Raziel Amador, Tahleel Ali-Nasser, Tamar Lahav, Stav Roni Shotan, Miryam Steinberg, Ziv Cohen, Dvir Aran, David Meiri, Yehuda G. Assaraf et al. · 2024 · Journal of Biomedical Science
22. Habitat association in the critically endangered Mangshan pit viper ( Protobothrops mangshanensis ), a species endemic to China
    Bing Zhang, Bingxian Wu, Daode Yang · 2020 · PeerJ
23. Latent state recognition by an enhanced hidden Markov model
    Yuan Yao, Yi Cao, Jia Zhai · 2020 · Expert Systems with Applications
24. Indications of positive feedbacks to flammability through fuel structure after high-severity fire in temperate eucalypt forests
    Yogendra K. Karna, T. Penman, C. Aponte, C. Gutekunst, Lauren T. Bennett · 2021 · International journal of wildland fire
25. Property tax‐induced mobility and redistribution: Evidence from mass reappraisals
    Rebecca Cannon Fraenkel · 2024 · Public Budgeting &amp Finance
26. Impact of dynamic rate coding aspects of mobile phone networks on forensic voice comparison
    Esam A.S. Alzqhoul, Balamurali B T Nair, Bernard Guillemin · 2015 · Science & Justice
27. Sparse Additive Gaussian Process with Soft Interactions
    Garret Vo, Debdeep Pati · 2017 · Open Journal of Statistics
28. Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression
    John Tipton, Mevin B. Hooten, Simon James Goring · 2017 · Advances in statistical climatology, meteorology and oceanography
29. Discussions of boosting papers, and rejoinders
    Peter L. Bartlett, Peter J. Bickel, Peter Bühlmann, Yoav Freund, Jerome H. Friedman, Trevor J. Hastie, Wenxin Jiang, Michael I. Jordan, Vladimir I. Koltchinskii, Gábor Lugosi et al. · 2004 · The Annals of Statistics
30. BigFeat: Scalable and Interpretable Automated Feature Engineering Framework
    Hassan Eldeeb, Shota Amashukeli, Radwa Elshawi · 2022 · IEEE International Conference on Big Data (BigData)
31. PsyQoE: Improving Quality-of-Experience Assessment With Psychological Effects in Video Streaming
    Daoxu Sheng, Qi Qi, Jingyu Wang, Lianyuan Li, Wei Yu, Jianxin Liao · 2024 · IEEE Transactions on Services Computing
32. Machine learning model‐based preterm birth prediction and clinical nomogram: A big retrospective cohort study
    Ya Liu, Jiangling Liu, Heqing Shen · 2024 · International Journal of Gynecology & Obstetrics
33. A case study from a critical stopover site in the East Asian-Australasian Flyway provides lessons for optimal high-tide roost management to support shorebird conservation
    Jia Guo, Waner Liang, Yan Zhou, Yifei Jia, Hongyan Yang, Lili Sun, Qing Chen, Ting Fu, Sicheng Ren, Wenkui Jiang et al. · 2025 · Biological Conservation
34. Leveraging machine learning and decision analytics for sustainable and resilient environmental monitoring in metal processing industries: a step towards Industry 5.0
    Shahrooz Bamdad · 2025 · International Journal of Production Research
35. Deep learning in vibrational spectroscopy: Benefits, limitations, and recent progress
    Yalu Cai, Yuduan Lin, Honghao Cai · 2025 · Journal of the Chinese Chemical Society
36. Segment length optimization for crash frequency modelling: Evaluating power spectral segment length in safety performance assessment
    Parveen J. Kumar, Geetam Tiwari, Sourabh Paul · 2025 · Accident Analysis & Prevention
37. WaterOpt: a method for checking near-feasibility of continuous water supply
    Bharadwaj S. Amrutur, M. S. Mohan Kumar, K.R. Sheetal Kumar · 2016
38. Structural Health Monitoring with dependence on non-harmonic periodic hidden covariates
    Luong Ha Nguyen, J-A. Goulet · 2018 · Engineering Structures
39. Data Generation Methodology for Machine Learning-based Power System Stability Studies
    Francesca Rossi, Eduardo Prieto‐Araujo, Marc Cheah Mañé · 2022 · IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
40. Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach
    Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed · 2025 · Scientific Reports
41. On Locally Linear Classification by Pairwise Coupling
    Feng Chen, Chang‐Tien Lu, Arnold P. Boedihardjo · 2008 · Proceedings
42. PhenoCurve: capturing dynamic phenotype-environment relationships using phenomics data
    Yifan Yang, Lei Xu, Zheyun Feng, Jeffrey A. Cruz, Linda J. Savage, David Kramer, Jin Chen · 2016 · Bioinformatics
43. Jihadist waves: Syria, the Islamic State, and the changing nature of foreign fighters
    Güneş Murat Tezcür, Clayton Besaw · 2017 · Conflict Management and Peace Science
44. Looking into Crystal Balls: A Laboratory Experiment on Reputational Cheap Talk
    Debrah C Meloso, Salvatore Nunnari, Marco Ottaviani · 2023 · Management Science
45. Prediction and Diagnosis of Diabetes by Using Data Mining Techniques
    Seyede Somayeh Mirzajani, Siamak Salimy · 2018 · Avicenna Journal of Medical Biochemistry
46. Analysis of Penalized Regression Methods in a Simple Linear Model on the High-Dimensional Data
    Zari Farhadi, Reza Arabi Belaghi, Özlem Gürünlü Alma · 2019 · American Journal of Theoretical and Applied Statistics
47. Driver Drowsiness Behavior Detection and Analysis Using Vision-Based Multimodal Features for Driving Safety
    Rui Li, Howard Brand, Aditya Gopinath · 2020 · SAE technical papers on CD-ROM/SAE technical paper series
48. A Data-driven Fault Prediction Integrated Design Scheme Based on Ensemble Learning for Thermal Boiler Process
    Hai Qin, Shen Yin, Tianyi Gao · 2020 · IEEE International Conference on Industrial Technology (ICIT)
49. Distributed Feature Selection for Multi-Class Classification Using ADMM
    Daniel Jung · 2020 · IEEE Control Systems Letters
50. Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process
    Chihang Wei, Liyun Zuo, Xinmin Zhang, Zhihuan Song · 2021 · IEEE Transactions on Cybernetics
51. Modeling Structure–Activity Relationship of AMPK Activation
    Jürgen Drewe, Ernst Küsters, Felix Hammann, Matthias Heinrich Kreuter, Philipp Boss, Verena Schöning · 2021 · Molecules
52. Interpolation of soil properties from geostatistical priors and DCT-based compressed sensing
    Can Wang, Xiaopeng Li, Kefan Xuan · 2022 · Ecological Indicators
53. Multidimensional acoustic analysis for voice quality assessment based on the GRBAS scale
    Ping Yu, Zhijian Wang, Shanshan Liu · 2014
54. Transmission Near-Infrared (NIR) and Photon Time-of-Flight (PTOF) Spectroscopy in a Comparative Analysis of Pharmaceuticals
    Faisal Kamran, Otto H. A. Abildgaard, Anders Sparén, Olof Svensson, Jonas Johansson, Stefan Andersson‐Engels, Peter E. Andersen, Dmitry Khoptyar · 2015 · Applied Spectroscopy
55. Delaunay-based optimization in CFD leveraging multivariate adaptive polyharmonic splines (MAPS)
    Shahrouz Ryan Alimo, Pooriya Beyhaghi, Gianluca Meneghello, Thomas Bewley · 2017 · AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (SDM)
56. Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques
    Aruna Devi Balasubramanian, M. Pallikonda Rajasekaran, Arunprasath Thiyagarajan · 2019 · International Journal of Imaging Systems and Technology
57. MTBR: Multi-Target Boosting for Regression
    Sangdi Lin, Bahareh Azarnoush, George C. Runger · 2019 · IEEE Transactions on Knowledge and Data Engineering
58. Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems
    Oindrila Chatterjee, Shantanu Chakrabartty · 2020 · IEEE Transactions on Neural Networks and Learning Systems
59. Wrapper for Building Classification Models Using Covering Arrays
    Hugo Dorado, Carlos Cobos, José Torres-Jiménez, Dharani Dhar Burra, Martha Mendoza, Daniel Ricardo Jimenez · 2019 · IEEE Access
60. Big data approaches to knot theory: Understanding the structure of the Jones polynomial
    Jesse S. F. Levitt, Mustafa Hajij, Radmila Sazdanović · 2022 · Journal of Knot Theory and Its Ramifications
61. Random Forest Algorithm for Prediction of HIV Drug Resistance
    Letícia Martins Raposo, Paulo Tadeu Cardozo Ribeiro Rosa, Flávio Fonseca Nobre · 2020 · STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
62. An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals
    Amirhessam Tahmassebi, Jennifer Martin, Anke Meyer‐Baese, Amir H. Gandomi · 2020 · IEEE Symposium Series on Computational Intelligence (SSCI)
63. Inference for feature selection using the Lasso with high-dimensional data
    Kasper Brink‐Jensen, Claus Thorn Ekstrøm · 2014 · arXiv (Cornell University)
64. Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?
    Ronnie Sebro, Cynthia De la Garza‐Ramos · 2024 · British Journal of Radiology
65. A data-driven cluster analysis to explore cognitive reserve and modifiable risk factors in early phases of cognitive decline
    Sara Bernini, Alice Valcarenghi, Elena Ballante, Federico Fassio, Marta Picascia, Elena Cavallini, Matteo Cotta Ramusino, Alfredo Ribeiro da Costa, Tomaso Vecchi, Cristina Tassorelli et al. · 2025 · Scientific Reports
66. A distribution-guided Mapper algorithm
    Yuyang Tao, Shu-Fei Ge · 2024 · BMC Bioinformatics
67. Monitoring legume nutrition with machine learning: The impact of splits in training and testing data
    H.K. Chinmayi, K. Colton Flynn, Gurjinder S. Baath, Prasanna H. Gowda, Brian K. Northup, Amanda Joy Ashworth · 2025 · Applied Soft Computing
68. Machine Learning-Driven Optimization of Computer Numerical Control Milling Parameters for Enhanced Surface Integrity and Burr Control in Additive Manufacturing
    Zihni Alp Çevik, Gencay Sarıışık · 2025 · Journal of Tribology
69. Predicting soil erosion rates of farmland with different slope shapes in Northeast China by using the improved RUSLE2 model
    Yingli Shen, Gang Liu, Ju Gu, Chengbo Shu, Kai Wang, Qiong Zhang, Han Luo, Chutian Zhang, Zhen Yang Guo · 2025 · Soil and Tillage Research
70. Intelligent fault detection of UAV propellers through time-domain vibration analysis and ensemble learning
    Karam J. Mohammed, Ahmed Ali Farhan Ogaili, Abdul-Rasool Kareem Jweri · 2026 · Aerospace Systems
71. Post-fabrication calibration of Near-Threshold circuits for energy efficiency
    Mohammad Saber Golanbari, Saman Kiamehr, Fabian Oboril · 2017 · International Symposium on Quality Electronic Design (ISQED)
72. Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
    Guanhua Fang, Zhiliang Ying · 2020 · Psychometrika
73. Neural Network-Based Model for Classification of Faults During Operation of a Robotic Manipulator
    Sandi Baressi Šegota, Nikola Anđelić, Zlatan Car · 2021 · Tehnicki vjesnik - Technical Gazette
74. Application of Artificial Intelligent Approach to Predict the Normal Boiling Point of Refrigerants
    Bo Liu, Maryam Karimi Nouroddin · 2023 · International Journal of Chemical Engineering
75. Crystallization deformation and phase transitions of coarse-grained sulfate saline soils upon cooling
    Liyang Wang, Pengcheng Wang, Jingyu Liu · 2023 · Cold Regions Science and Technology
76. A Novel Hybrid Ordinal Learning Model With Health Care Application
    Lujia Wang, Hairong Wang, Yi Su, Fleming Y. M. Lure, Jing Li · 2024 · IEEE Transactions on Automation Science and Engineering
77. Research advances in automated red teaming
    James Decraene, Fanchao Zeng, Malcolm Yoke Hean Low · 2010 · Spring Simulation Multiconference
78. Related entity finding by unified probabilistic models
    Yi Fang, Luo Si · 2013 · World Wide Web
79. Distinguishing locations across perimeters using wireless link measurements
    Junxing Zhang, Sneha Kumar Kasera, Neal Patwari, Piyush Rai · 2011 · IEEE Conference on Computer Communications (INFOCOM)
80. Random Forests Are Able to Identify Differences in Clotting Dynamics from Kinetic Models of Thrombin Generation
    Jayavel Arumugam, Satish Bukkapatnam, Krishna R. Narayanan · 2016 · PLoS ONE
81. Reliable surrogate modeling of engineering data with more than two levels of fidelity
    Alexey Zaytsev · 2016 · International Conference on Mechanical and Aerospace Engineering
82. Systematic process to determine DNBR limit of CHF correlation with repetitive cross-validation technique
    Byeung-Seok Kim, Shane Park, Kanghoon Kim, Jongseon Lim, Keeyil Nahm · 2018 · Journal of Nuclear Science and Technology
83. Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep Learning
    Luciana C. D. Campos, Leonardo Goliatt, Tales Lima Fonseca, Gabriel Dias de Abreu, Letícia Florentino Pires, Yulia Gorodetskaya · 2019 · Lecture notes in computer science
84. Nonparametric K-means algorithm with applications in economic and functional data
    Zhangmei Feng, Jiamin Zhang · 2020 · Communication in Statistics- Theory and Methods
85. Machine learning for analysing ab initio molecular dynamics simulations
    Florian Häse, Ignacio Fdez. Galván, Alán Aspuru‐Guzik · 2020 · Journal of Physics Conference Series
86. Exploratory analysis of machine learning approaches for surveillance of Zika‐associated birth defects
    Richard Lusk, John Zimmerman, Kelley VanMaldeghem · 2020 · Birth Defects Research
87. A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data
    Ping Hou, Pei Guo, Peng Wu · 2020 · IEEE International Conference on Smart Computing
88. Influence of the Cross-Sectional Shape of Hot Semifinished Rolled Products on the Formation of the Plot of Specific Tension in Cold-Rolled Strips
    A. N. Shkarin, S. M. Bel’skii, V. A. Pimenov · 2020 · Metallurgist
89. Machine Learning Algorithms for Optical Remote Sensing Data Classification and Analysis
    Gangalakunta P. Obi Reddy, Karikkathil C. Arun Kumar · 2021 · Studies in big data
90. Combination of ECG And PPG Signals For Smart HealthCare Systems: Techniques, Applications, and Challenges
    Mahmoud M. Bassiouni, Islam Hegazy, Nouhad J. Rizk, El-Sayed. A. El-Dahshan, Abdel-Badeeh Mohamed Salem · 2021 · International Conference on Intelligent Computing and Information Systems (ICICIS)
91. Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes
    Laura Genga, Luca Allodi, Nicola Zannone · 2022 · Journal of Cybersecurity and Privacy
92. A Classification Technique for English Teaching Resources and Merging Using Swarm Intelligence Algorithm
    Yan Yang, Huaye Huang · 2022 · Mobile Information Systems · Retracted
93. Adaptive psychophysical procedures, loss functions, and entropy
    Elena Kelareva, J. Mewing, Andrew H. Turpin · 2010 · Attention Perception & Psychophysics
94. Experimental Design or Monte Carlo Simulation? Strategies for Building Robust Surrogate Models
    Jared Schuetter, Srikanta Mishra · 2015 · SPE Annual Technical Conference and Exhibition
95. Returns to women’s education using optimal IV selection
    Jun Sung Kim, Bin Jiang, Chuhui Li · 2018 · Applied Economics
96. Bridging the skill gap using vocational training simulators: Validating skill assessment metrics
    P. V. Aswathi, Amritha Natarajan, Kalakunnath Namitha · 2016 · International Conference on Advances in Computing, Communications and Informatics (ICACCI)
97. Estimating personalized diagnostic rules depending on individualized characteristics
    Ying Liu, Yuanjia Wang, Chaorui C. Huang, Donglin Zeng · 2016 · Statistics in Medicine
98. Exploring diagnostic models of Parkinson's disease with multi-objective regression
    Marta Vallejo, Stuart Jamieson, Jeremy Cosgrove · 2016 · IEEE Symposium Series on Computational Intelligence (SSCI)
99. Mortality Prediction Based on Echocardiographic Data and Machine Learning: CHF, CHD, Aneurism, ACS Cases
    Kirill Kutyrev, Aleksey N. Yakovlev, Oleg Metsker · 2019 · Procedia Computer Science
100. A Deep Hybrid Fuzzy Neural Hammerstein-Wiener Network for Stock Price Prediction
     Chen Xie, Deepu Rajan, Chai Hiok Quek · 2020 · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)