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

Cited by (1,001)

Items 801–900 of 1,001

1. Large-scale Data Exploration Using Explanatory Regression Functions
   Fotis Savva, Christos B. Anagnostopoulos, Peter Triantafillou, Kostas Kolomvatsos · 2020 · ACM Transactions on Knowledge Discovery from Data
2. Conditional Density Estimation, Latent Variable Discovery, and Optimal Transport
   Hongkang Yang, Esteban G. Tabak · 2020 · Communications on Pure and Applied Mathematics
3. Online estimation of rollator user condition using spatiotemporal gait parameters
   Joaquín Ballesteros, Cristina Urdiales, Antonio B. Martínez, Marina Tirado · 2016 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
4. Evaluating the Risk Factors of Post Inflammatory Hyperpigmentation Complications with Nd-YAG Laser Toning Using LASSO-Based Algorithm
   Chao-Hong Liu, Chin‐Shiuh Shieh, Tai‐Lin Huang et al. · 2020 · Applied Sciences
5. Detecting Road Maps for Capacity Utilization Decisions by Clustering Analysis and CHAID Decision Tress
   Ali Serhan Koyuncugil, Nermin Özgülbaş · 2009 · Journal of Medical Systems
6. A Note on the Complexity of Proximal Iterative Hard Thresholding Algorithm
   Xue Zhang, Xiaoqun Zhang, Xiaoqun Zhang · 2015 · Journal of the Operations Research Society of China
7. BOLT
   Ahmed Osama Fathy Atya, Karthikeyan Sundaresan, Srikanth V. Krishnamurthy · 2015
8. Gradient tree boosting with random output projections for multi-label classification and multi-output regression
   Arnaud Joly, Louis A. Wehenkel, Pierre Geurts · 2019 · arXiv (Cornell University)
9. Transporter genes in biosynthetic gene clusters predict metabolite characteristics and siderophore activity
   Alexander Crits‐Christoph, Nicholas Bhattacharya, Matthew R. Olm · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
10. AI Ethics and Governance in Practice: An Introduction
    David Leslie, Cami Rincón, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael A. Katell et al. · 2024 · SSRN Electronic Journal
11. Machine Learning for Underwater Explosion Prediction: A Comprehensive Review of Methods, Challenges and Future Directions
    Jacopo Bardiani, Claudio Sbarufatti, Andrea Manes · 2025 · Archives of Computational Methods in Engineering
12. Integrating statistical design and inference: A roadmap for robust and trustworthy medical AI
    Qiaochu Wei, Miao Cui, Zehua Liu, Zhonghua Liu, Guoshuang Feng, Yi Li, David C. Christiani, Liming Li, Jingyuan Wang, Yuantao Hao et al. · 2025 · The Innovation Medicine
13. FedIn-NID: A Federated Learning Framework for Network Intrusion Detection in Large-Scale Heterogeneous Industrial IoT
    Jingxin Mao, Zhiwei Wei, Bing Li, Rongqing Zhang, Lingyang Song · 2025 · IEEE Transactions on Information Forensics and Security
14. Diversified and enhanced learning-based evolutionary particle swarm optimization and its applications in feature selection
    Balkrishna Dwivedi, Shubham Gupta, Vinay Kumar · 2026 · Cluster Computing
15. Machine learning with temporal control designs for testing rhythmic specificity in chronobiology: A multivariate framework proposal for distinguishing genuine biological rhythms from temporal artifacts
    Wissem Dhahbi, Ismail Dergaa · 2026 · Chronobiology International
16. Application of periodic parameters and their effects on the ANN landfill gas modeling
    Bahareh Fallah, Farshid Torabi · 2021 · Environmental Science and Pollution Research
17. Well-log facies classification using an active semi-supervised algorithm with pairwise constraints
    Wei Chau Xie, Kyle T Spikes · 2021 · Geophysical Journal International
18. Predicting the severity of occupational accidents in the construction industry using standard and regularized logistic regression models
    Şura Toptancı, Nihal Erginel, Ilgın Acar · 2023 · Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
19. Who will stay a little longer? Predicting length of stay in hip and knee arthroplasty patients using machine learning
    Benedikt Langenberger · 2023 · Intelligence-Based Medicine
20. Ensemble Learning Models for Prediction of Punching Shear Strength in RC Slab-Column Connections
    Omid Habibi, Tarik A. Youssef, Hamed Naseri, Khalid Ibrahim · 2024 · Civil Engineering Journal
21. Nuclear Neural Networks: Emulating Late Burning Stages in Core-collapse Supernova Progenitors
    Aldana Grichener, Mathieu Renzo, Wolfgang Kerzendorf · 2025 · The Astrophysical Journal Supplement Series
22. Optimal Control Strategies for an SSVEP-Based Brain-Computer Interface
    Nishant A. Mehta, Sadhir Hussain S. Hameed, Melody Moore Jackson · 2010 · International Journal of Human-Computer Interaction
23. Exploiting Unlabeled Ages for Aging Pattern Analysis on a Large Database
    Chao Zhang, Guodong Guo · 2013 · IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
24. Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization
    Amichai Painsky, Saharon Rosset · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
25. Artificial olfactory system with fault-tolerant sensor array
    Nasser Lotfivand, Vida Abdolzadeh, Mohd Nizar Hamidon · 2016 · ISA Transactions
26. Group contribution model based on decision tree algorithm for estimating flash point of pure organic compounds
    Yan Cao, Qiangfeng Wang, Zhijie Wang · 2020 · Energy Sources Part A Recovery Utilization and Environmental Effects
27. A hybrid seagull optimization algorithm for chemical descriptors classification
    Essam Halim Houssein, Mosa E. Hosney, Diego A. Oliva · 2021 · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
28. Accurate and Hybrid Regularization - Robust Regression Model in Handling Multicollinearity and Outlier Using 8SC for Big Data
    Mukhtar Mukhtar, Majid Khan Majahar Ali, Anam Javaid, Mohd Tahir Ismail, Ahmad Fudholi · 2021 · Mathematical Modelling and Engineering Problems
29. Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach
    Masaru Kamba, Masae Manabe, Shoko Wakamiya · 2021 · JMIR Cancer
30. Cross-Sectional Analysis of Impulse Indicator Saturation Method for Outlier Detection Estimated via Regularization Techniques with Application of COVID-19 Data
    Sara Muhammadullah, Amena Urooj, Muhammad Hashim Mengal · 2022 · Computational and Mathematical Methods in Medicine
31. Feature Selection for financial data – comparison
    Karolina Miałkowska, Klaudia Kaczmarczyk, Marcin Hernesa · 2022 · Procedia Computer Science
32. Automatic detection of attachment style in married couples through conversation analysis
    Tuğçe Melike Koçak, Büşra Çilem Dibek, Esma Nafiye Polat, Nilüfer Kafesçioğlu, Cenk Demiroğlu · 2023 · EURASIP Journal on Audio Speech and Music Processing
33. Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study
    Chihang Wei, Zhihuan Song · 2023 · Sensors
34. Predictive Geometallurgical Modeling for Flotation Performance in Mixed Copper Ores Using Discriminatory Methods
    Rachid Faouzi, Hassan Oumesaoud, Khalid Naji · 2024 · Arabian Journal for Science and Engineering
35. Cognitive land cover mapping: A three-layer deep learning architecture for remote sensing data classification
    Madhusmita Sahu, Rasmita Dash · 2024 · Environmental Challenges
36. BUILDING LIFE CYCLE MANAGEMENT AT THE OPERATION STAGE USING ARTIFICIAL NEURAL NETWORK MODELS AND MACHINE LEARNING
    Lyudmila Suleymanova, A. Obaydi · 2024 · Bulletin of Belgorod State Technological University named after V G Shukhov
37. Assessing abundance–suitability models to prioritize conservation areas for the dwarf caimans in South America
    Andrés L. Rodriguez‐Cordero, Sergio A. Balaguera‐Reina, Brandon A. Gross · 2024 · Ecology and Evolution
38. Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism
    Nicola Lazzarini, L. Nanni, C. Fantozzi, A. Pietracaprina, G. Pucci, T. Seccia, G. Rossi · 2015 · Pattern Recognition Letters
39. Modelling prehistoric terrain Models using LiDAR-data: a geomorphological approach
    Veit Höfler, Christine Wessollek, Pierre Karrasch · 2015 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
40. Incorporating scientific knowledge into phenotype development: Penalized latent class regression
    Jeannie‐Marie Leoutsakos, Karen Bandeen‐Roche, Elizabeth S. Garrett-Mayer · 2010 · Statistics in Medicine
41. An adaptive multiobjective estimation of distribution algorithm with a novel Gaussian sampling strategy
    Tao Lin, Hu Zhang, Ke Zhang · 2016 · Soft Computing
42. VLSI layout hotspot detection based on discriminative feature extraction
    Hang Zhang, Haoyu Yang, Bei Yu · 2016 · IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
43. Probabilistic Formulations of Regression with Mixed Guidance
    Aubrey Gress, Ian A. K. Davidson · 2016 · Proceedings
44. DCSPARK: Virtualizing spark using Docker containers
    Zhou Lei, Hongguang Du, Shengbo Chen · 2016 · International Conference on Audio, Language and Image Processing
45. Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data
    Kristin McLeod, Kristin Tøndel, Lilian Calvet, Maxime Sermesant B, Xavier Pennec · 2018 · IEEE Transactions on Biomedical Engineering
46. Online MR image reconstruction for compressed sensing acquisition in T2* imaging
    Loubna El Gueddari, Émilie Chouzenoux, Alexandre Vignaud, J.-C. Pesquet, Philippe Ciuciu · 2019 · Wavelets and Sparsity
47. Network Structure Transmission With Limited Data via Compressed Sensing
    Zhao-Long Hu, Xiao Han, Lijia Ma · 2020 · IEEE Transactions on Network Science and Engineering
48. Goodness-of-Fit Tests on Manifolds
    Alexander Shapiro, Yao Xie, Rui Zhang · 2021 · IEEE Transactions on Information Theory
49. Single Stock Call Options as Lottery Tickets: Overpricing and Investor Sentiment
    Luiz F. F. Felix, Roman Kräussl, Philip Stork · 2019 · Journal of Behavioral Finance
50. Prediction of Soil Organic Carbon Contents of Rice Paddies in South-Western Coastal Area of Korea Using Random Forest Models
    Hyun-Jin Park, Woo‐Jung Choi · 2022 · 한국토양비료학회지
51. Towards rapid, in situ characterization for materials-on-demand manufacturing
    Ashif Sikandar Iquebal, Bhaskar Botcha, Satish Bukkapatnam · 2019 · Manufacturing Letters
52. On the Impact of Side Information on Smart Meter Privacy-Preserving Methods
    Mohammadhadi Shateri, Francisco Javier Messina, Pablo Piantanida, Fabrice Labeau · 2020 · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
53. Reservoir facies design and modeling using probabilistic rock-physics templates
    Wei Chau Xie, Kyle T Spikes · 2020 · Geophysics
54. When Positive Sentiment is Not so Positive: Textual Analytics and Bank Failures
    Aparna Gupta, Cheng Lu, Majeed Simaan · 2016 · SSRN Electronic Journal
55. Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach
    Fetlework Gubena Arage, Zinabu Bekele Tadese, Eliyas Addisu Taye · 2025 · BMC Medical Informatics and Decision Making
56. Attention-based Transformer-LSTM architecture for early diagnosis and staging of early-stage Parkinson’s disease using fNIRS data
    Huan Wang, Hujun Wang, Shuyan Qie, Congxiao Wang, Nan Li, Hanming Wang · 2025 · Frontiers in Aging Neuroscience
57. The application of time series predictive maintenance model on rolling stock critical systems
    Md Mahabubur Rahman, Babakalli Alkali, Amit Kumar Jain · 2025 · Advances in Mechanical Engineering
58. Earth and Rockfill Dams’ Seepage Prediction Using Artificial Intelligence Models: A Comprehensive Review Assessment, and Future Research Directions
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammed Al-Hetari, Umair Ali · 2025 · Archives of Computational Methods in Engineering
59. Machine learning approaches for predicting diesel engine emissions using waste tire pyrolysis Oil – Hydrotreated vegetable oil blends
    Tomas Mickevičius, Jonas Matijošius, Edwin Geo Varuvel, Femilda Josephin JS, Jerome Stanley M, Tadas Žvirblis, Ferzat Anka, Artūras Kilikevičius · 2025 · Process Safety and Environmental Protection
60. Enhancing short-term streamflow forecasting of extreme events: A wavelet-artificial neural network hybrid approach
    Yulia Gorodetskaya, Rodrigo Oliveira Silva, Celso Bandeira de Melo Ribeiro · 2024 · Water Cycle
61. Clinical concept annotation with contextual word embedding in active transfer learning environment
    Asim Abbas, Mark G. Lee, Niloofer Shanavas, Venelin Kovatchev · 2024 · Digital Health
62. A comparison of resampling and recursive partitioning methods in random forest for estimating the asymptotic variance using the infinitesimal jackknife
    Cole Brokamp, MB Rao, Patrick Ryan, Roman Jandarov · 2017 · Stat
63. Classification of Binary Class HIV/AIDS Test Results Using Ensemble Learning Models
    Daniel Mesafint Belete, D. H. Manjaiah · 2020 · International Conference on Decision Aid Sciences and Application (DASA)
64. Training Model for Predicting Adsorption Energy of Metal Ions Based on Machine Learning
    Ruihong Zhang, Xin Li Wei, Zhanhui Lu · 2021 · Journal of Inorganic Materials
65. Binary Drone Squadron Optimization Approaches for Feature Selection
    Harpreet Singh, Suchita Sharma, Manju Khurana · 2022 · IEEE Access
66. Efficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling
    Nathan Garland, Romit Maulik, Qi Tang, Xian-Zhu Tang, Prasanna Balaprakash · 2022 · Machine Learning Science and Technology
67. Novel Metrics for Evaluation and Validation of Regression-based Supervised Learning
    Md. Mostafizur Rahman, Derek Berger, Jacob E. D. Levman · 2022 · IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
68. Monitoring of Lake Ice Phenology Changes in Bosten Lake Based on Bayesian Change Detection Algorithm and Passive Microwave Remote Sensing (PMRS) Data
    Yimuran Kuluwan, Yusufujiang Rusuli, Mireguli Ainiwaer · 2023 · Sensors
69. Improved prediction of extreme ENSO events using an artificial neural network with weighted loss functions
    Dong‐Hoon Kim, Il‐Ju Moon, Chaewook Lim · 2024 · Frontiers in Marine Science
70. Forecasting stock market returns with a lottery index: Evidence from China
    Yaojie Zhang, Qingxiang Han, Mengxi He · 2024 · Journal of Forecasting
71. LES informed data-driven models for RANS simulations of single-hole cooling flows
    Christopher David Ellis, Hao Xia · 2024 · International Journal of Heat and Mass Transfer
72. Predicting implementation of response to intervention in math using elastic net logistic regression
    Qi Wang, Garret J. Hall, Qian Zhang, Sara Comella · 2024 · Frontiers in Psychology
73. Digital Skills, Ethics, and Integrity—The Impact of Risky Internet Use, a Multivariate and Spatial Approach to Understanding NEET Vulnerability
    Adriana Grigorescu, Victor T. Alistar, Cristina Lincaru · 2025 · Systems
74. Classification of Metagenomics Data at Lower Taxonomic Level Using a Robust Supervised Classifier
    Tao Hou, Fu Liu, Yun Liu · 2015 · Evolutionary Bioinformatics
75. Constrained Sparse Concept Coding Algorithm with Application to Image Representation
    Zhenqiu Shu, Chunxia Zhao, Pu Huang · 2014 · KSII Transactions on Internet and Information Systems
76. Bioinformatics Approach to Understanding Interacting Pathways in Neuropsychiatric Disorders
    Ali Mostafa Alawieh, Zahraa Sabra, Amaly Nokkari, Atlal M. El-Assaad, Stefania Mondello, Fadi A. Zaraket, Bilal H. Fadlallah, Firas H. Kobeissy · 2014 · Methods in molecular biology
77. Decoding force from deep brain electrodes in Parkinsonian patients
    Syed Ahmar Shah, Huiling Tan, Peter Brown · 2016 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
78. A Discrete Detection and Decoding of MLC NAND Flash Memory With Retention Noise
    Wenhao Sun, Jianping Zheng · 2020 · IEEE Access
79. Clustering, factor discovery and optimal transport
    Hongkang Yang, Esteban G. Tabak · 2020 · Information and Inference A Journal of the IMA
80. An Intelligent Multicriteria Model for Diagnosing Dementia in People Infected with Human Immunodeficiency Virus
    Luana I. C. C. Pinheiro, Maria Lúcia Duarte Pereira, Evandro Carvalho de Andrade · 2021 · Applied Sciences
81. Traditional vs. Machine-Learning Techniques for OSM Quality Assessment
    Musfira Jilani, Michela Bertolotto, Padraig Corcoran · 2019 · IGI Global eBooks
82. Relaxed Adaptive Lasso and Its Asymptotic Results
    Rufei Zhang, Tong Zhao, Yajun Lu · 2022 · Symmetry
83. Using Bayesian compressed sensing and sparse dictionaries to interpolate soil properties
    Can Wang, Xiaopeng Li, Jiabao Zhang · 2022 · Geoderma
84. Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study
    Shanshan Jin, Xu Zhang, Hanruo Liu · 2022 · Journal of Diabetes Research
85. Forecasting crude oil prices: A reduced-rank approach
    Yixuan Song, Mengxi He, Yudong Wang · 2023 · International Review of Economics & Finance
86. Liver Disease Prediction Model Using SVM and Logistic Regression
    Md Shabbeer, M Pravalika, K Grace Leena · 2023 · International Conference on Edge Computing and Applications (ICECAA)
87. Studies of the adaptive network-constrained linear regression and its application
    Yang Hu, Danhui Yi · 2015 · Computational Statistics & Data Analysis
88. Active learning on anchorgraph with an improved transductive experimental design
    Weijie Fu, Shijie Hao, Meng Wang · 2015 · Neurocomputing
89. Signal-Integrity Optimization for Complicated Multiple-Input Multiple-Output Networks Based on Data Mining of S-Parameters
    Mu-Shui Zhang, Hong‐Zhou Tan, Junfa Mao · 2014 · IEEE Transactions on Components Packaging and Manufacturing Technology
90. As A Supply Chain Financing Source, Trade Credit and Bank Credit Relationship during Financial Crises from Clustering Point of View
    Cüneyt Sevim, Aykut Ekiyor, Ali Tosyali · 2016 · International Business Research
91. SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data
    Leo Yu-Feng Liu, Yufeng Liu, Hongtu Zhu · 2018 · NeuroImage
92. Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration
    Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu · 2019 · IEEE International Conference on Big Data (BigData)
93. Global Prediction of COVID-19 Cases and Deaths using Machine Learning
    Sumit Bhardwaj, Harshit Bhardwaj, Jyoti Bhardwaj · 2021 · International Conference on Image Information Processing (ICIIP)
94. Power-Law Distribution of Human Behaviors in Internet Forums
    Xia-Meng Si, Yun Liu · 2010
95. Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media
    David M. Darmon, Jared Sylvester, Michelle Girvan · 2013 · SSRN Electronic Journal
96. Advanced weibull reliability analysis for industrial pumping systems: An integrated framework for predictive maintenance optimization
    Jamshid Piri · 2026 · Results in Engineering
97. A quasi-manifold-based probabilistic method for real-time interpretation of interbedded strata from sparse boreholes
    Zehang Qian, Chao Shi · 2026 · Géotechnique
98. Explainable and parsimonious machine learning models for predicting product yield from biomass–plastic co-pyrolysis
    Du Nguyen, Wei‐Hsin Chen, M. Olga Guerrero‐Pérez, Enrique Rodrı́guez-Castellón, Van Quy Nguyen, Aminul Islam, Phuc Phat Pham, Anh Tuan Hoang · 2026 · Applied Thermal Engineering
99. A predictive study on the impact of board characteristics on firm performance of Chinese listed companies based on machine learning methods
    Xin Huang, Ting Tang, Yu Ning Luo · 2024 · Chinese Management Studies
100. Aspects of Biology and Machine Learning for Age Prediction in the Large-Eye Dentex Dentex macrophthalmus (Bloch, 1791)
     Dimitris Klaoudatos, Alexandros Theocharis, Chrysoula Vardaki, Elpida Pachi, Dimitrios V. Politikos, Alexis J. Conides · 2025 · Fishes