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

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Items 901–1,000 of 1,001

1. Unsupervised classification of multi-class chart images: a comparison of customized CNNs and transfer learning techniques
   Syed Muhammad Hassan Zaidi, Abdul Hafeez Khan, Syed Azeem Inam, Abdullah Ayub Khan, Jamil Abedalrahim Jamil Alsayaydeh, Ahmad Ali AlZubi, Benny Ogunshola, Safarudin Gazali Herawan · 2025 · PeerJ Computer Science
2. Data-driven analysis of influence between radiologists for diagnosis of breast lesions
   Chao Fu, Dongyue Wang, Wenjun Chang · 2022 · Annals of Operations Research
3. Clinical Natural Language Processing in Secondary Use of EHR for Research
   Sunyang Fu, Andrew Wen, Hongfang Liu · 2023 · Health informatics
4. Exploiting Access Pattern Characteristics for Join Reordering
   Nils L. Schubert, Philipp M. Grulich, Steffen Zeuch · 2023 · International Workshop on Data Management on New Hardware (DaMoN)
5. Multi-objective metaheuristic optimization algorithms for wrapper-based feature selection: a literature survey
   Anitha Gopalakrishnan, V. Vadivel · 2023 · Bulletin of Electrical Engineering and Informatics
6. Robust optimized weights spectrum: Enhanced interpretable fault feature extraction method by solving frequency fluctuation problem
   Yu Wang, Dong Wang, Bingchang Hou · 2024 · Mechanical Systems and Signal Processing
7. Machine Learning-Assisted Mixed Quantum-Classical Dynamics without Explicit Nonadiabatic Coupling: Application to the Photodissociation of Peroxynitric Acid
   Mahesh K. Sit, Subhasish Das, Kousik Samanta · 2024 · The Journal of Physical Chemistry A
8. Predicting patent challenges for small-molecule drugs: A cross-sectional study
   Ally Memedovich, Brian Jacob Steele, Taylor Orr, Shanzeh Chaudhry, Mina Tadrous, Aaron Seth Kesselheim, Aidan Hollis, Reed F. Beall · 2025 · PLoS Medicine
9. Differences in the failure process of grottoes sandstone in southern and northern China determined by microstructure
   Shijie Liu, Hengxing Lan, Haoyang Chen, Xiaolei Huang, Langping Li, Bao Han · 2025 · npj Heritage Science
10. Distress-Based Pavement Condition Assessment Using Artificial Intelligence: A Case Study of Egyptian Roads
    Mostafa M. Radwan, Sundus A. Faris, Ahmed Y. Barakat, Ahmad A. Mousa · 2025 · Eng—Advances in Engineering
11. An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks
    Xi Chen, Ziang Wu, Weiping Zhang · 2025 · Mathematics
12. A First Study on the Use of Boosting for Class Noise Reparation
    Pablo Morales-Álvarez, Julián Luengo, Francisco Herrera · 2016 · Lecture notes in computer science
13. Towards Bridging the Gap between Machine Learning Researchers and Practitioners
    Haytham Assem, Declan O’Sullivan · 2015
14. Traditional vs. Machine-Learning Techniques for OSM Quality Assessment
    Musfira Jilani, Michela Bertolotto, Padraig Corcoran · 2017 · Advances in geospatial technologies book series
15. Risk analysis: Survival data analysis vs. machine learning. Application to Alzheimer prediction
    Catherine Huber‐Carol, Shulamith T. Gross, Filia Vonta · 2019 · Comptes Rendus Mécanique
16. Multi-Layer Hybrid Credit Scoring Model Based on Feature Selection, Ensemble Learning, and Ensemble Classifier
    Diwakar Tripathi, Alok Kumar Shukla, Ramchandra Reddy B. · 2020 · Advances in computational intelligence and robotics book series
17. Machine Learning in Consumer Credit Risk Analysis: A Review
    Jae Young Seo · 2020 · International Journal of Advanced Trends in Computer Science and Engineering
18. Resilient Structural Sparsity in the Design of Consensus Networks
    Gilberto Díaz-García, Gabriel Narváez, Luis Felipe Giraldo, Jairo Giraldo, Alvaro A. Cardenas · 2021 · IEEE Transactions on Cybernetics
19. A privacy-preserving decentralized randomized block-coordinate subgradient algorithm over time-varying networks
    Lin Wang, Mingchuan Zhang, Junlong Zhu · 2022 · Expert Systems with Applications
20. Selection of traceability-based, automated decision-making methods in global production networks
    Franziska Fessenmayr, Martin Benfer, Patrizia Gartner · 2022 · Procedia CIRP
21. Boundary-restricted metric learning
    Shuo Chen, Chen Gong, Xiang Li · 2023 · Machine Learning
22. EEG-based Affect Classification with Machine Learning Algorithms
    Jianhua Zhang, Zhong Yin, Peng Chen · 2023 · IFAC-PapersOnLine
23. GIS-based rainfall-triggered landslide warning and forecasting model of Shenzhen
    Gege Jiang, Yuan Tian, Chenchao Xiao · 2013 · International Conference on Geoinformatics
24. Pattern recognition in long‐term Sooty Shearwater data: applying machine learning to create a harvest index
    Grant Richard Woodrow Humphries, Corey Bragg, J. Overton · 2014 · Ecological Applications
25. Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP
    Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama, Kitsuchart Pasupa · 2018 · IEEE Access
26. A Novel Pruning Approach for Bagging Ensemble Regression Based on Sparse Representation
    AmirEhsan Khorashadizadeh, Massoud Babaie‐Zadeh, Christian Jutten · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
27. Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks
    Qing Zou, Mathews Jacob · 2021 · SIAM Journal on Imaging Sciences
28. Hybrid feature selection methods for online biomedical publication classification
    Long Ma, Yanqing Zhang, Rajshekhar Sunderraman · 2015 · IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
29. Applying non-negative matrix factorization methods to discover user;s resource access patterns for computer security tasks
    Dmitriy V. Tsarev, Курынин Роман Валерьевич, Mikhail Petrovskiy · 2014 · International Conference on Hybrid Intelligent Systems (HIS)
30. The Bump Hunting Method and Its Accuracy Using the Genetic Algorithm with Application to Real Customer Data
    Hideo Hirose, Takahiro Yukizane, T. Deguchi · 2007 · IEEE International Conference on Computer and Information Technology (CIT)
31. Analysis of Vehicle Emissions and Prediction of Gross Emitter using Remote Sensing Data
    Jun Zeng, Huafang Guo, Yueming Hu · 2006 · International Conference on Control, Automation, Robotics and Vision (ICARCV)
32. Modeling Probability of Causal and Random Impacts
    Stan Lipovetsky, Igor Mandel · 2015 · Journal of Modern Applied Statistical Methods
33. Non-Parametric Techniques
    Marius-Christian Frunza · 2015 · Elsevier eBooks
34. Source-Aware Partitioning for Robust Cross-Validation
    Ozsel Kilinc, Ismail Uysal · 2015 · IEEE International Conference on Machine Learning and Applications (ICMLA)
35. Spektrale Bandselektion für das Filterdesign optischer Inspektionssysteme
    Matthias Michelsburg, Robin Gruna, Kai-Uwe Vieth · 2011 · tm - Technisches Messen
36. RAPIDSNPs: A new computational pipeline for rapidly identifying key genetic variants reveals previously unidentified SNPs that are significantly associated with individual platelet responses
    Bajuna R. Salehe, Chris Ian Jones, Giuseppe Di Fatta, Liam James McGuffin · 2017 · PLoS ONE
37. Joint Principal Trend Analysis for Longitudinal High-dimensional Data
    Yuping Zhang, Zhengqing Ouyang · 2017 · Biometrics
38. Optimization of classification algorithm based on gene expression programming
    Lei Yang, Kangshun Li, Wensheng Zhang · 2017 · Journal of Ambient Intelligence and Humanized Computing
39. An Intelligent Class: The Development Of A Novel Context Capturing Framework Supporting The Functional Auto-Classification Of Records
    Nathaniel Payne · 2019 · IEEE International Conference on Big Data (BigData)
40. Train Type Identification at S&C
    Martina Kratochvílová, Jan Podroužek, Jiří Apeltauer · 2020 · Journal of Advanced Transportation
41. Applying machine learning to explore the association between biological stress and near misses in emergency medicine residents
    Sonnet Xu, Judith E. Arnetz, Bengt B. Arnetz · 2022 · PLoS ONE
42. Partial Discharge Localization in Gas-Insulated Switchgear using Various Learning Algorithms
    Omar H. Abu-Rub, Ahmad Darwish · 2019 · International Conference on Smart Grid and Renewable Energy (SGRE)
43. Capitalizing on Aggregate Data for Gaining Process Understanding––Effect of Raw Material, Environmental and Process Conditions on the Dissolution Rate of a Sustained Release Product
    Karel Stryczek, Petr Horáček, Jǐŕı Kléma · 2007 · Journal of Pharmaceutical Innovation
44. A Data Cleaning Framework for Trajectory Clustering
    Agzam Y. Idrissov · 2012 · ERA: Education and Research Archive (University of Alberta)
45. 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 · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
46. Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics
    Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Ioan Rusu · 2024 · Preprints.org
47. Predictors of British Isles Lupus Assessment Group-based outcomes in patients with systemic lupus erythematosus: Analysis from the Systemic Lupus International Collaborating Clinics Inception Cohort
    Trixy David, Li Su, Yafeng Cheng · 2023 · Lupus
48. Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends
    Rajashree Nambiar, Ranjith Bhat, H. V. BALACHANDRA ACHAR · 2025 · The Scientific World JOURNAL
49. Systematic optimization and neural network modelling of Acartia steueri copepod reproduction for enhanced live feed solutions in sustainable aquaculture
    Mohammed Syed Marjuk, Palani Sridhar, Ayyasamy Gowthami, Perumal Santhanam, Ranjit Kumar Sarangi, Pachiappan Perumal · 2025 · Aquaculture
50. HairTime: A noninvasive assay for estimating circadian phase from a single hair sample
    Bert Maier, Luísa K. Pilz, Selin Özcakir, Ali Rahjouei, Ashraf N. Abdo, Jan de Zeeuw, Dieter Kunz, Achim Kramer · 2026 · Proceedings of the National Academy of Sciences
51. Deep autoencoder-guided machine learning for prospectivity mapping of intrusion-related Cu-Au mineral systems in southwestern New Brunswick, Canada
    Babak Ghane, David Richard Lentz, Kathleen G. Thorne · 2026 · Ore Geology Reviews
52. Mitigating surface industrial heat island effects in arid environments: A machine learning approach to sustainable planning
    Islam M. Hamdi, Eman Albalawi, Elsayed K. AbdAlmapoed, Sayed R. AbdElaal · 2026 · Energy and Buildings
53. Analysis of E.coli Promoter Regions Using Classification, Association and Clustering Algorithms
    D. S. V. G. K. Kaladhar, Uma Devi Tatavarthi, P. Lakshmi · 2011 · Advances in intelligent and soft computing
54. Computational Methods for Neuron Segmentation in Two-Photon Calcium Imaging Data: A Survey
    Waseem Abbas, David Masip · 2022 · Applied Sciences
55. Is Someone There or Is That the TV? Detecting Social Presence Using Sound
    Nicholas C. Georgiou, Rebecca Ramnauth, Emmanuel Adéníran · 2023 · ACM Transactions on Human-Robot Interaction
56. Machine Learning Approach for Analyzing 3-Year Outcomes of Patients with Brain Arteriovenous Malformation (AVM) after Stereotactic Radiosurgery (SRS)
    Mirko Jerber Rodríguez Mallma, Marcos Vilca-Aguilar, Luis Zuloaga-Rotta, Rubén Borja-Rosales, María Salas-Ojeda, David Mauricio · 2023 · Diagnostics
57. Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics
    Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Ioan Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, Cristian Constantin Volovăț · 2024 · Diagnostics
58. A Survey of Intrusion Detection Systems Based On Deep Learning for IoT Data
    Mehrnaz Moudi, Arefeh Soleimani, AmirHossein Hojjati nia · 2024 · Journal of Information Systems and Telecommunication (JIST)
59. Prediction model for grouting volume using borehole image features and explainable artificial intelligence
    Yalei Zhe, Kepeng Hou, Zongyong Wang · 2025 · Construction and Building Materials
60. Accurate and efficient prediction on the formation energy and potential profiles of sodium vanadium oxyfluorophosphate by machine learning
    Ling-Zhi Wang, Xiao-Fei Sun, Jinbao Zhang, Hao-Xiang Li, Dan Yu, Jiayu Ju, Wen-Jun Wang, Xue-Song Mei · 2025 · Journal of Alloys and Compounds
61. Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review
    Christian John A. Saludar, Maryam Tayebi, Eryn E. Kwon, Joshua P. McGeown, William S. Schierding, Alan Wang, Justin Fernandez, Samantha Jane Holdsworth, Vickie Shim · 2025 · Journal of Magnetic Resonance Imaging
62. Dynamic metric learning from pairwise comparisons
    Kristjan H. Greenewald, Stephen Kelley, Alfred O. Hero · 2016 · Allerton Conference on Communication, Control, and Computing
63. Investigation of gene expressions in differentiated cell derived bone marrow stem cells during bone morphogenetic protein-4 treatments with Fourier transform infrared spectroscopy
    Jaber Zafari, Fatemeh Javani Jouni, Ali Ahmadvand · 2016 · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
64. Integrated Effect of Nearest Neighbors and Distance Measures in k-NN Algorithm
    Rashmi Agrawal · 2017 · Advances in intelligent systems and computing
65. Spatial prioritization of selected mining pitlakes from Eastern Coalfields region, India: A species distribution modelling approach
    Snehangshu Das, Aparajita Mukherjee, Santanu Gupta · 2020 · Conservation Science and Practice
66. An Alignment-Free Regression Approach for Estimating Allele-Specific Expression Using RNA-Seq Data
    Chen-Ping Fu, Vladimir Jojic, Leonard McMillan · 2014 · Lecture notes in computer science
67. Real-Time Fine-Grained Freeway Traffic State Estimation Under Sparse Observation
    Yangxin Lin, Yang Zhou, Shengyue Yao · 2021 · Lecture notes in computer science
68. Individual Differentiated Multidimensional Hawkes Model: Uncovering Urban Spatial Interaction Using Mobile-Phone Data
    Lintao Yang, Yashu Zhu, Qikai Mei · 2021 · IEEE Transactions on Intelligent Transportation Systems
69. Thermal Ablation Treatment Detection by means of Machine Learning
    Luca Brunese, Francesco Mercaldo, Antonella Santone · 2021
70. What a deep song: The role of music features in perceived depth
    Xin Wen, Zhengxi Huang, Zaoyi Sun · 2021 · PsyCh Journal
71. Larger versus Luckier: preservice teachers’ exploration of probabilistic reasoning through an aleatoric music activity
    Song A. An, Alyse C. Hachey, Daniel A. Tillman · 2021 · International Journal of Mathematical Education in Science and Technology
72. Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning
    Han Bai Fan, Daniel Jonsson, Erik Schaffernicht · 2022 · IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
73. Habitat choice for narrowly distributed species: Multiple spatial scales of habitat selection for the Mangshan pit viper
    Zhang Bing, Xiangyun Ding, Shuheng Li, Linhai Li, Zhanqiang Wen, Yonghui Li, Jun Chen, Daode Yang · 2023 · Global Ecology and Conservation
74. Predicting daily precision improvement of Jakarta Islamic Index in Indonesia’s Islamic stock market using big data mining
    Mohammed Ayoub Ledhem, Warda Moussaoui · 2023 · Journal of Modelling in Management
75. Age at natural menopause and its determinants in female population of Kharameh cohort study: Comparison of regression, conditional tree and forests
    Zahra Pasokh, Mozhgan Seif, Haleh Ghaem, Abbas Rezaianzadeh, Masoumeh Ghoddusi Johari‬ · 2024 · PLoS ONE
76. Supervised Learning from Microarray Data
    Trevor Hastie, Robert John Tibshirani, Balasubramanian Narasimhan · 2002 · Physica-Verlag eBooks
77. Feature Selection Using a Reinforcement-Behaved Brain Storm Optimization
    Ben Niu, Xuesen Yang, Hong Wang · 2019 · Lecture notes in computer science
78. Developing a novel force forecasting technique for early prediction of critical events in robotics
    Meenakshi Narayan, Ann Majewicz Fey · 2020 · PLoS ONE
79. Use of Artificial Neural Network for Estimation of Propeller Torque Values in a CODLAG Propulsion System
    Sandi Baressi Šegota, Daniel Štifanić, Kazuhiro Ohkura · 2020 · Journal of Maritime & Transportation Science
80. A Comparison of Variables Selection Methods and their Sequential Application: A Case Study of the Bankruptcy of Polish Companies
    Mikhail Zanka · 2020 · Folia Oeconomica Stetinensia
81. Contact clustering and fusion for preprocessing multistatic active sonar data
    Evan Hanusa, David W. Krout, Maya R. Gupta · 2013
82. Joint metal artifact reduction and material discrimination in X-ray CT using a learning-based graph-cut method
    Limor Martin, Ahmet Tüysüzoğlu, Prakash Ishwar · 2014 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
83. Voting spaces cooperation for 3D plane detection from monocular image sequences
    Qiong Nie, Samia Bouchafa, Alain Merigot · 2012 · International Conference on Image Processing Theory, Tools and Applications (IPTA)
84. Learning a user-thread alignment manifold for thread recommendation in online forum
    Jun Hua Zhao, Jiajun Bu, Chun Chen · 2010 · ACM International Conference on Information and Knowledge Management (CIKM)
85. A robust ensemble-based trust and reputation system against different types of intruder attacks
    Jiwan Seo, Seungjin Choi, Mucheol Kim · 2014 · International Journal of Computer Mathematics
86. Generalized Haar DWT and Transformations Between Decision Trees and Neural Networks
    Rory G. Mulvaney, Dhananjay S. Phatak · 2006 · IEEE Transactions on Neural Networks
87. Simulation of high‐ and low‐resolution mass spectra for assessment of calibration methods
    Phillip G. Turner, S. Taylor, John Yannis Goulermas · 2007 · Rapid Communications in Mass Spectrometry
88. Uncertainty heuristics of large margin active learning for hyperspectral image classification
    Ines Slimene, Nesrine Chehata, Imed Riadh Farah · 2014
89. Reinforcement-Based Simultaneous Algorithm and Its Hyperparameters Selection
    Valeria Efimova, Andrey A. Filchenkov, Anatoly Abramovich Shalyto · 2019 · Communications in computer and information science
90. LVC: Local Variance-based Clustering
    Rania Ibrahim, Ahmed Elbagoury, Mohamed S. Kamel, Fakhri Karray · 2016 · International Joint Conference on Neural Networks (IJCNN)
91. Cortical activity predicts good variation in human motor output
    Sarine Babikian, E. Kanso, J. Kutch · 2017 · Experimental Brain Research
92. Referenceless magnetic resonance temperature imaging using Gaussian process modeling
    Joshua P. Yung, David Fuentes, Christopher J. MacLellan · 2017 · Medical Physics
93. Early Diagnosis of Alzheimer's Disease Using Informative Features of Clinical Data
    Aunsia Khan, Muhammad Usman · 2018
94. STEM: Stacked threshold-based entity matching for knowledge base generation
    Enrico Palumbo, Giuseppe Francesco Rizzo, Raphaël Troncy A · 2018 · Semantic Web
95. A kernel-based weight decorrelation for regularizing CNNs
    Yanhong Zhang, Fei Zhu · 2020 · Neurocomputing
96. Evaluating Morphological Features of Electrocardiogram Signals for Diagnosing of Myocardial Infarction Using Classification-Based Feature Selection
    Seyed Ataaldin Mahmoudinejad Dezfuli, Naser Safdarian · 2021 · Journal of Medical Signals & Sensors
97. Learning Sparse Privacy-Preserving Representations for Smart Meters Data
    Mohammadhadi Shateri, Francisco Javier Messina, Pablo Piantanida, Fabrice Labeau · 2021 · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
98. Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification
    Jan Salmen, Thorsten Suttorp, Johann Edelbrunner · 2007 · International Conference on Hybrid Intelligent Systems (HIS)
99. ANÁLISIS DEL COMPORTAMIENTO DEL ALGORITMO SVM PARA DIFERENTES KERNEL EN AMBIENTES CONTROLADOS
    José Daniel López-Cabrera, Alain Pereira Toledo · 2018 · Holos
100. BWatch: A Non-invasive Blood Leakage Detection Device using Robust Reflectance-based Sensing
     Chee How Tan, Jien-Yi Khaw, Ying Ching Wong · 2019 · IEEE International Conference on Cybernetics and Intelligent Systems and IEEE Conference on Robotics, Automation and Mechatronics (CIS-RAM)