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

Franklin, James·2005·The Mathematical Intelligencer

Cited by (1,001)

Items 301–400 of 1,001

  1. Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis
    Simon Scheider, Frank Ostermann, Benjamin Adams · 2017 · Future Generation Computer Systems
  2. Non-destructive Measurements of Toona sinensis Chlorophyll and Nitrogen Content Under Drought Stress Using Near Infrared Spectroscopy
    Wenjian Liu, Yanjie Li, Federico Tomasetto · 2022 · Frontiers in Plant Science
  3. Measuring Temporal Patterns in Dynamic Social Networks
    Wei Wei, Kathleen M. Carley · 2015 · ACM Transactions on Knowledge Discovery from Data
  4. High-Dimensional and Multiple-Failure-Region Importance Sampling for SRAM Yield Analysis
    Mengshuo Wang, Changhao Yan, Xin Li, Dian Zhou, Xuan Zeng · 2016 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  5. Automatic feature selection by regularization to improve bug prediction accuracy
    Haidar Osman, Mohammad Ghafari, Oscar Nierstrasz · 2017
  6. Regularized Group Sparse Discriminant Analysis for P300-Based Brain–Computer Interface
    Qiang Wu, Yu Zhang, Ju Liu, Jiande Sun, Andrzej S Cichocki, Feng Gao · 2019 · International Journal of Neural Systems
  7. Projecting the future of rainfall extremes: Better classic than trendy
    Theano Iliopoulou, Demetris Koutsoyiannis · 2020 · Journal of Hydrology
  8. A machine learning framework for the temporal evolution of microstructure during static recrystallization of polycrystalline materials simulated by cellular automaton
    Sepideh Hashemi, Surya R. Kalidindi · 2020 · Computational Materials Science
  9. Resolving anthropogenic aerosol pollution types – deconvolution and exploratory classification of pollution events
    Mikko Äijälä, Liine M. Heikkinen, Roman Fröhlich, Francesco Canonaco, Andrê S. H. Prévôt, Heikki Junninen, Tuukka Petäjä, Markku Kulmala, Douglas R. Worsnop, Mikael Ehn · 2017 · Atmospheric chemistry and physics
  10. Improved Regularity Model-Based EDA for Many-Objective Optimization
    Yanan Sun, Gary G. Yen, Zhang Yi · 2018 · IEEE Transactions on Evolutionary Computation
  11. Sparsity-based approaches for damage detection in plates
    Debarshi Sen, Amirali Aghazadeh, Ali Mousavi · 2018 · Mechanical Systems and Signal Processing
  12. Social learning strategies for matters of taste
    Pantelis P. Analytis, Daniel Barkoczi, Stefan Michael Herzog · 2018 · Nature Human Behaviour
  13. A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone
    Eunice Twumwaa Tagoe, Pascal Agbadi, Emmanuel Kweku Nakua · 2020 · Heliyon
  14. Stem cell imaging through convolutional neural networks: current issues and future directions in artificial intelligence technology
    Ramanaesh Ramakrishna, Zariyantey Abd Hamid, Wan Mimi Diyana Wan Zaki, Aqilah Baseri Huddin, Ramya Dewi Mathialagan · 2020 · PeerJ
  15. A unified powerful set-based test for sequencing data analysis of GxE interactions
    Yu‐Ru Su, Chongzhi Di, Li Hsu · 2016 · Biostatistics
  16. Accounting for differences between crops and regions reduces estimates of nitrate leaching from nitrogen-fertilized soils
    Yan Wang, Yihong Liu, Longlong Xia, Hiroko Akiyama, Xinli Chen, Ji Chen, Yunying Fang, Tony Vancov, Yongfu Li, YuanZhi Yao et al. · 2025 · Communications Earth & Environment
  17. DEFENDER: Detecting and Forecasting Epidemics Using Novel Data-Analytics for Enhanced Response
    Nicholas Thapen, Donal Simmie, Chris Hankin, Joseph J. Gillard · 2016 · PLoS ONE
  18. Using semi-supervised classifiers for credit scoring
    Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany · 2012 · Journal of the Operational Research Society
  19. Coercing machine learning to output physically accurate results
    Zhenglin Geng, Daniel Johnson, Ronald P. Fedkiw · 2019 · Journal of Computational Physics
  20. Is poverty predictable with machine learning? A study of DHS data from Kyrgyzstan
    Qing Li, Shuai Yu, Damien Échevin · 2021 · Socio-Economic Planning Sciences
  21. Large scale instance matching via multiple indexes and candidate selection
    Juanzi Li, Zhichun Wang, Xiao Zhang · 2013 · Knowledge-Based Systems
  22. Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid
    Vinícius Veloso de Melo, Wolfgang Banzhaf · 2017 · Information Sciences
  23. SSIM Compliant Modeling Framework With Denoising and Deblurring Applications
    Rajesh Bhatt, Naren Naik, Venkatesh K. Subramanian · 2021 · IEEE Transactions on Image Processing
  24. Fairness Violations and Mitigation under Covariate Shift
    Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara · 2021 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  25. Predicting the Preference for Sad Music: The Role of Gender, Personality, and Audio Features
    Liuchang Xu, Ye Zheng, Dayu Xu, Liang Xu · 2021 · IEEE Access
  26. The Effect of COVID on Oral Reading Fluency During the 2020–2021 Academic Year
    Benjamin W. Domingue, Madison Dell, David Lang, Rebecca D. Silverman, Jason D. Yeatman, Heather J. Hough · 2022 · AERA Open
  27. Boosting in the Presence of Outliers: Adaptive Classification With Nonconvex Loss Functions
    Alexander Hanbo Li, Jelena Bradić · 2017 · Journal of the American Statistical Association
  28. Learning aerodynamics with neural network
    Wenhui Peng, Yao Zhang, Éric Laurendeau, Michel C. Desmarais · 2022 · Scientific Reports
  29. A comprehensive review: Segmentation of MRI images-brain tumor
    Saritha Saladi, N. Amutha Prabha · 2016 · International Journal of Imaging Systems and Technology
  30. JIVE integration of imaging and behavioral data
    Qunqun Yu, Benjamin B. Risk, Kai Zhang, James Stephen Marron · 2017 · NeuroImage
  31. Automatic Assessment of a Rollator-User’s Condition During Rehabilitation Using the i-Walker Platform
    Joaquín Ballesteros, Cristina Urdiales, Antonio B. Martínez, Marina Tirado · 2017 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  32. Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks
    Jecinta Mulongo, Marcellin Atemkeng, Theophilus Ansah-Narh · 2019 · Applied Artificial Intelligence
  33. A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT
    Shahriar Faghani, Francis I. Baffour, Michael D. Ringler, Matthew A. Hamilton-Cave, Pouria Rouzrokh, Mana Moassefi, Bardia Khosravi, Bradley James Erickson · 2022 · Skeletal Radiology
  34. Parametrization of pair correlation function and static structure factor of the one component plasma across coupling regimes
    Nicolas Desbiens, Philippe Arnault, Jean Clérouin · 2016 · Physics of Plasmas
  35. Convex Multiview Semi-Supervised Classification
    Feiping Nie, Jing Li, Xuelong Li · 2017 · IEEE Transactions on Image Processing
  36. Multiview gait-based gender classification through pose-based voting
    Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar · 2018 · Pattern Recognition Letters
  37. On the Use of Machine Learning to Detect Shocks in Road Vehicle Vibration Signals
    Julien Lépine, Vincent Rouillard, Michael A. Sek · 2016 · Packaging Technology and Science
  38. Classification and regression tree model for predicting tracheostomy in patients with traumatic cervical spinal cord injury
    Dae-Sang Lee, Chi-Min Park, Keumhee Chough Carriere · 2017 · European Spine Journal
  39. Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, Ocimum, and Withania somnifera study
    Khan, Samreen, Rai, Abhishek Kumar, Singh, Anjali, Singh, Saudan, Dubey, Basant Kumar, Lal, Raj Kishori, Negi, Arvind Singh, Birse, Nicholas, Trivedi, Prabodh Kumar, Elliott, Christopher T. et al. · 2023 · Journal of Pharmaceutical Analysis
  40. Accelerated spectral clustering using graph filtering of random signals
    Nicolas Tremblay, Gilles Puy, Pierre Borgnat · 2016 · IEEE International Conference on Acoustics Speech and Signal Processing
  41. Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis
    Sihai Dave Zhao, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron · 2014 · Bioinformatics
  42. Increasing homeowners’ insulation activity in Germany: An empirically grounded agent-based model analysis
    Jonas Friege · 2016 · Energy and Buildings
  43. Variable selection in functional data classification: a maxima-hunting proposal
    José L. Torrecilla, José R. Berrendero, Antonio Cuevas · 2015 · Statistica Sinica
  44. Commonality of neural representations of sentences across languages: Predicting brain activation during Portuguese sentence comprehension using an English-based model of brain function
    Ying Yang, Jing Wang, Cyntia Bailer, Vladimir L. Cherkassky, Marcel Adam Just · 2016 · NeuroImage
  45. A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
    Marco Cavallo, Çağatay Demiralp · 2018 · CHI Conference on Human Factors in Computing Systems
  46. Predicting the Entrepreneurial Success of Crowdfunding Campaigns Using Model-Based Machine Learning Methods
    Michael Safo Oduro, Han Yu, Hong Huang · 2022 · International Journal of Crowd Science
  47. Machine learning-driven process of alumina ceramics laser machining
    Razyeh Behbahani, Hamidreza Yazdani Sarvestani, Erfan Fatehi, Elham Kiyani, Behnam Ashrafi, Mikko Karttunen, Meysam Rahmat · 2022 · Physica Scripta
  48. Neural evidence of the strategic choice between working memory and episodic memory in prospective remembering
    Jarrod A. Lewis‐Peacock, Jonathan D. Cohen, Kenneth A. Norman · 2016 · Neuropsychologia
  49. Model-assisted clustering for automated operational modal analysis of partially continuous multi-span bridges
    Elisa Tomassini, Enrique García‐Macías, Edwin P. B. Reynders · 2023 · Mechanical Systems and Signal Processing
  50. A Machine Learning Based Framework for Sub-Resolution Assist Feature Generation
    Xiaoqing Xu, Tetsuaki Matsunawa, Shigeki Nojima, Chikaaki Kodama, Toshiya Kotani, David Zhigang Pan · 2016 · International Symposium on Physical Design
  51. Sample Out-of-Sample Inference Based on Wasserstein Distance
    José Blanchet, Yang Kang · 2021 · Operations Research
  52. Penalized Multi-Way Partial Least Squares for Smooth Trajectory Decoding from Electrocorticographic (ECoG) Recording
    Andrey Eliseyev, Tetiana Aksenova · 2016 · PLoS ONE
  53. Gemello
    Nipun Batra, Amarjeet Singh, Kamin Whitehouse · 2016 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  54. Who cares about the environment? An empirical analysis of the evolution of political parties’ environmental concern in European countries (1970–2008)
    François Facchini, Giuseppe Lucio Gaeta, Benjamin Michallet · 2017 · Land Use Policy
  55. Hybrid L1/2 + 2 method for gene selection in the Cox proportional hazards model
    Haihui Huang, Yong Qi Liang · 2018 · Computer Methods and Programs in Biomedicine
  56. Online Pricing with Offline Data: Phase Transition and Inverse Square Law
    Jinzhi Bu, David Simchi‐Levi, Yunzong Xu · 2022 · Management Science
  57. A Comparison Analysis of BLE-Based Algorithms for Localization in Industrial Environments
    Davide Cannizzaro, Marina Zafiri, Daniele Jahier Pagliari, Edoardo Patti, Enrico Macii, Massimo Poncino, Andrea Acquaviva · 2019 · Electronics
  58. Automatic quality control in clinical 1H MRSI of brain cancer
    Nuno Pedrosa de Barros, Richard McKinley, Urspeter Knecht, Roland Wiest, Johannes Slotboom · 2016 · NMR in Biomedicine
  59. Influence of Hydroclimatology and Socioeconomic Conditions on Water-Related International Relations
    Kerstin Stahl · 2005 · Water International
  60. Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data
    Gang Cheng, Huan Wen Ding, Jie Yang · 2023 · International Journal of Remote Sensing
  61. Data-Driven Incentive Design in the Medicare Shared Savings Program
    Anil J. Aswani, Zuo‐Jun Max Shen, Auyon Siddiq · 2019 · Operations Research
  62. NEIGHBOURING PREDICTION FOR MORTALITY
    Chou‐Wen Wang, Jinggong Zhang, Wenjun Zhu · 2021 · Astin Bulletin
  63. Estimating absence locations of marine species from data of scientific surveys in OBIS
    G. Coro, C. Magliozzi, E. V. Berghe, N. Bailly, A. Ellenbroek, P. Pagano · 2016 · Ecological Modelling
  64. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography
    Gustavo Carneiro, Luke Oakden‐Rayner, Andrew Peter Bradley, Jacinto C. Nascimento, Lyle John Palmer · 2017 · IEEE International Symposium on Biomedical Imaging (ISBI)
  65. Relay logic for islanding detection in active distribution systems
    Mehrnoosh Vatani, Turaj Amraee, Ali Mohammad Ranjbar · 2015 · IET Generation Transmission & Distribution
  66. A molecular phylogeny of Staphyleaceae: Implications for generic delimitation and classical biogeographic disjunctions in the family
    AJ Harris, P.-M. Chen, Xin‐Wei Xu · 2016 · Journal of Systematics and Evolution
  67. Application of Multitemporal InSAR Covariance and Information Fusion to Robust Road Extraction
    Mi Jiang, Zelang Miao, Paolo E. Gamba · 2017 · IEEE Transactions on Geoscience and Remote Sensing
  68. Subresolution Assist Feature Generation With Supervised Data Learning
    Xiaoqing Xu, Yibo Lin, Meng Li · 2017 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  69. Artificial intelligence used in genome analysis studies
    Edo D’Agaro · 2018 · The EuroBiotech Journal
  70. Learning a Spatial Field in Minimum Time With a Team of Robots
    Varun Suryan, Pratap Tokekar · 2020 · IEEE Transactions on Robotics
  71. Machine‐learning‐based reliability evaluation framework for power distribution networks
    Gengfeng Li, Yuxiong Huang, Zhaohong Bie · 2020 · IET Generation Transmission & Distribution
  72. Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods
    Lucky Oghenechodja Daniel, Caston Sigauke, Colin Chibaya, Rendani Mbuvha · 2020 · Algorithms
  73. A novel UAV path planning algorithm to search for floating objects on the ocean surface based on object’s trajectory prediction by regression
    Mehrez Boulares, Ahmed Barnawi · 2020 · Robotics and Autonomous Systems
  74. Artificial Intelligence for Response Evaluation With PET/CT
    Lise Wei, Issam El Naqa · 2020 · Seminars in Nuclear Medicine
  75. Feature selection in credit risk modeling: an international evidence
    Ying Nan Zhou, Mohammad Shamsu Uddin, Tabassum Habib, Guotai Chi, Kunpeng Yuan · 2021 · Economic Research-Ekonomska Istraživanja
  76. Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study
    Sahar Shariatnia, Majid Ziaratban, Abdolhalim Rajabi · 2022 · BMC Medical Informatics and Decision Making
  77. Model-Based Pancreas Segmentation in Portal Venous Phase Contrast-Enhanced CT Images
    Matthias Hammon, Alexander Cavallaro, Marius Erdt · 2013 · Journal of Imaging Informatics in Medicine
  78. Machine learning-optimized titanium-based broadband absorber with high-efficiency performance across visible and infrared wavelengths
    Jacob Wekalao, Jonas Muheki, Ngaira Mandela · 2025 · Optical and Quantum Electronics
  79. Multilevel Lasso applied to Virtual Metrology in semiconductor manufacturing
    Simone Pampuri, Andrea Schirru, Giuseppe Fazio, Giuseppe De Nicolao · 2011 · IEEE International Conference on Automation Science and Engineering (CASE)
  80. Road centerlines extraction from high resolution images based on an improved directional segmentation and road probability
    Ruyi Liu, Jianfeng Song, Qiguang Miao · 2016 · Neurocomputing
  81. An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization
    Nathalie Bartoli, Thierry Lefebvre, Sylvain Dubreuil, Romain Olivanti, Nicolas Bons, Joaquim R. R. A. Martins, Mohamed-Amine Bouhlel, Joseph Morlier · 2017 · AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO)
  82. Reference line-based Estimation of Distribution Algorithm for many-objective optimization
    Yanan Sun, Gary G. Yen, Yi Zhang · 2017 · Knowledge-Based Systems
  83. Forest use strategies and their determinants among rural households in the Miombo woodlands of the Copperbelt Province, Zambia
    Moses Kazungu, Eliza Zhunusova, Anastasia Yang, Gillian Kabwe, Davison Gumbo, Sven Günter · 2019 · Forest Policy and Economics
  84. Classification of vessel activity in streaming data
    Ioannis Kontopoulos, Konstantinos Chatzikokolakis, Konstantinos Tserpes · 2020 · ACM International Conference on Distributed and Event-Based Systems (DEBS)
  85. Predicting Posttraumatic Stress Disorder Among Survivors of Recent Interpersonal Violence
    Matthew C. Morris, Francisco Sánchez‐Sáez, Brooklynn Bailey, Natalie M. Hellman, Amber Williams, Julie A. Schumacher, Uma Rao · 2020 · Journal of Interpersonal Violence
  86. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis
    Zohra L. Cherfi, Latifa Oukhellou, Étienne Côme, Thierry Denœux, Patrice Aknin · 2011 · Soft Computing
  87. Shapes classification of dust deposition using fuzzy kernel-based approaches
    Andrea Proietti, Luca Liparulo, Fabio Leccese · 2015 · Measurement
  88. Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification
    Sumeet Trehan, Louis J. Durlofsky · 2018 · Computational Geosciences
  89. AIoT: Artificial Intelligence and the Internet of Things for Monitoring and Prognosis of Systems and Structures
    Hailing Fu, Jing Rao, Fang Yi Deng, Yihan Wang, Bowen Zhao, Zhuowen Liu, Hong Yu Guan, Paweł Malinowski, Lijun Xu · 2025 · IEEE Transactions on Instrumentation and Measurement
  90. Decision forests for machine learning classification of large, noisy seafloor feature sets
    Ed Lawson, Denson Smith, Donald Sofge · 2016 · Computers & Geosciences
  91. NvCloudIDS: A security architecture to detect intrusions at network and virtualization layer in cloud environment
    Preeti Mishra, Emmanuel S. Pilli, Vijay Varadharajan · 2016 · International Conference on Advances in Computing, Communications and Informatics (ICACCI)
  92. Learning Sensitive Combinations of A/B Test Metrics
    Eugene Kharitonov, Alexey Valerievich Drutsa, Pavel Serdyukov · 2017 · ACM International Conference on Web Search and Data Mining (WSDM)
  93. Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms
    Lorenzo Meneghetti, Gian Antonio Susto, Simone Del Favero · 2019 · Journal of Diabetes Science and Technology
  94. Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency
    Liu Chen, Meysam Asgari, Robert C. Gale · 2020 · Frontiers in Psychology
  95. Semi-supervised regression using diffusion on graphs
    Mohan Timilsina, Alejandro Figueroa, Mathieu d’Aquin · 2021 · Applied Soft Computing
  96. Power-aware anomaly detection in smartphones: An analysis of on-platform versus externalized operation
    Guillermo Suárez‐Tangil, Juan Tapiador, Pedro Peris Lopez, Sergio Pastrana · 2014 · Pervasive and Mobile Computing
  97. Interpretation of surface water quality using principal components analysis and cluster analysis
    Omotayo Ayeni · 2013 · Journal of Geography and Regional Planning
  98. Use of Comprehensive Two-Dimensional Gas Chromatography with Time-of-Flight Mass Spectrometric Detection and Random Forest Pattern Recognition Techniques for Classifying Chemical Threat Agents and Detecting Chemical Attribution Signatures
    Erich D. Strozier, Douglas Mooney, David A. Friedenberg · 2016 · Analytical Chemistry
  99. Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample
    Joanna F. Dipnall, Julie Anne Pasco, Michael Berk, Lana J. Williams, Seetal Dodd, Felice N. Jacka, Denny Meyer · 2016 · PLoS ONE
  100. Analysis and mining of online social networks: emerging trends and challenges
    Sajid Yousuf Bhat, Muhammad Abulaish · 2013 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery