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• A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data
  preprints 2022 置信度 0.74
• Skin Tone Penalties: Bottom-up Discrimination in Football
  preprints 2023 置信度 0.74
• Cross-Border Mobility Responses to Covid-19 in Europe: New Evidence from Facebook Data
  preprints 2021 置信度 0.74
• MantisCOVID: Rapid X-Ray Chest Radiograph and Mortality Rate Evaluation With Artificial Intelligence For COVID-19
  preprints 2020 置信度 0.74
• Efficient prediction of structural and electronic properties of hybrid 2D materials using complementary DFT and machine learning approaches
  preprints 2018 置信度 0.74
• Marmosets mutually compensate for differences in rhythms when coordinating vigilance
  preprints 2023 置信度 0.74
• Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
  preprints 2024 置信度 0.74
• Pollution, Economic Growth and COVID-19 Deaths in India: Machine Learning Evidence
  preprints 2020 置信度 0.74
• A Tiny Viral Protein, SARS-CoV-2-ORF7b: Structural Features
  preprints 2023 置信度 0.74
• Deep learning segmentation model for automated detection of the opacity regions in the chest X-rays of the Covid-19 positive patients and the application for disease severity
  preprints 2020 置信度 0.74
• An Open-source Tool for Analysis and Automatic Identification of Dendritic Spines Using Machine Learning
  preprints 2018 置信度 0.74
• Human Nature, Human (In)Competencies and The Prospects of Nonhuman Intelligence
  preprints 2022 置信度 0.74
• A Generalized Similarity Metric for Predicting Peptide Binding Affinity
  preprints 2019 置信度 0.74
• HatEmoTweet: Low Level Emotion Classifications and Spatio-Temporal Trends of Hate and Offensive COVID-19 Tweets
  preprints 2023 置信度 0.74
• A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities
  preprints 2021 置信度 0.74
• Machine learning analysis highlights the down-trending of the proportion of COVID-19 patients with a distinct laboratory result profile
  preprints 2020 置信度 0.74
• ScanNet: An interpretable geometric deep learning model for structure-based protein binding site prediction
  preprints 2021 置信度 0.74
• Modern Hopfield Networks and Attention for Immune Repertoire Classification
  preprints 2020 置信度 0.74
• Prestige and Process at CDC: Reconciling Administrative Expertise with Regulatory Flexibility
  preprints 2023 置信度 0.74
• The Road Back: Our Global Supply Chain Crisis
  preprints 2022 置信度 0.74
• Retro Drug Design: From Target Properties to Molecular Structures
  preprints 2021 置信度 0.74
• PhysiofUS : a tissue-motion based method for heart and breathing rate assessment in neurofunctional ultrasound imaging
  preprints 2024 置信度 0.74
• Fault-Aware Machine Learning and Deep Learning-Based Algorithm for Cloud Architecture
  crossref Deepika Agarwal, Sneha Agrawal, Punit Gupta 2022-01-24T13:47:41Z 置信度 0.70
• Machine Learning Framework for Financial Forecasting and Intelligent Decision Support Systems
  In the rapidly evolving financial markets, accurate forecasting and informed decision-making are critical for risk management and strategic investment. This chapter presents an advanced machine learning framework designed for financial forecasting and intellig…
  crossref C Meera Bai, Janardan Kukreja 2026-05-13T04:03:28Z 置信度 0.70
• Machine‐Learning and Deep‐Learning Techniques in Social Sciences
  crossref Hutashan V. Bhagat, Manminder Singh 2022-11-18T21:51:15Z 置信度 0.70
• Structural Results About On-line Learning Models With and Without Queries
  crossref Peter Auer, Philip M. Long 2002-12-22T05:54:50Z 置信度 0.70
• TriDoSHAI: Integrating Tridosha Theory with Machine Learning for Personalized Wellness
  crossref Gagandeep Singh 2026-05-17T16:21:25Z 置信度 0.70
• A Comprehensive Review of Machine Learning Techniques for Retail Supply Chain Optimizations
  The rapid growth of digital retail platforms, changing customer preferences, and increasing market uncertainty have created significant challenges in managing modern retail supply chains. Supply chain performance optimisation, real-time decision-making, effect…
  crossref Mr. Himanshu Barhaiya 2026-07-22T15:06:57Z 置信度 0.70
• Toward Generative Machine Learning for Boosting Ensembles of Climate Simulations
  Abstract Accurately quantifying uncertainty in predictions and projections arising from irreducible internal climate variability is critical for decision‐making. Such uncertainty is typically assessed using ensembles produced with climate models. However, comp…
  crossref Parsa Gooya, Reinel Sospedra‐Alfonso, Johannes Exenberger 2026-07-04T09:42:16Z 置信度 0.70
• Learning, SAT, and CSP
  crossref 2012-08-08T15:35:08Z 置信度 0.70
• Supplemental Information 3: Machine learning models.
  crossref 2024-09-20T11:08:24Z 置信度 0.70
• Figure 4: Machine learning taxonomy tree.
  crossref 2023-02-23T04:43:36Z 置信度 0.70
• Identifying Michel Electrons in Liquid Argon TPCs Using Machine Learning
  crossref Riya Shah 2023-08-31T02:47:36Z 置信度 0.70
• Machine Learning for Biomedical and Health Informatics
  crossref Sanjukta Bhattacharya, Chinmay Chakraborty 2020-07-10T11:59:52Z 置信度 0.70
• Connections Between Inductive Inference and Machine Learning
  crossref John Case, Sanjay Jain 2017-04-13T12:35:13Z 置信度 0.70
• Data for Machine Learning in MATLAB
  crossref Michael Paluszek, Stephanie Thomas 2024-03-01T13:02:27Z 置信度 0.70
• Unifying Instance-Based and Rule-Based Induction
  crossref Pedro Domingos 2003-02-06T17:07:14Z 置信度 0.70
• A Novel Machine Learning Technique Using CNN to Forecast Power consumption Forecasting using Machine Learning Technique
  crossref 2024-11-30T02:27:14Z 置信度 0.70
• Software Quality Assessment Using Explainable Machine Learning
  Ensuring software quality is critical for the reliability, maintainability, and usability of modern software systems. Traditional software quality assessment techniques often rely on manual reviews, static analysis, or classical machine learning models that of…
  crossref Nandhini Ravi 2026-07-27T10:47:32Z 置信度 0.70
• Can We Understand How Machine Learning Models Reason?
  ML models are tools, not open books. It is evident that the weights in a trained model in some way encode valuable information, but there are no explanations inside. Is there any way that we can understand how the model reasons? In this chapter we take a look …
  crossref 2026-08-14T09:21:46Z 置信度 0.70
• Analytical Learning
  crossref 2010-12-29T17:36:36Z 置信度 0.70
• NC-Learning
  crossref 2010-12-29T17:26:29Z 置信度 0.70
• Learning Control
  crossref 2010-12-29T17:28:18Z 置信度 0.70
• Optimal Learning
  crossref 2010-12-29T17:26:38Z 置信度 0.70
• Medicine: Applications of Machine Learning
  crossref 2012-02-07T13:44:39Z 置信度 0.70
• Machine Learning
  crossref L. G. Valiant 2017-09-05T15:02:27Z 置信度 0.70
• Drug Design with Machine Learning
  crossref 2011-08-29T16:20:21Z 置信度 0.70
• Figure 8: Machine learning model accuracy %.
  crossref 2024-11-11T03:41:02Z 置信度 0.70
• A Deep Learning-Based Framework for Multiclass Skin Cancer Classification Using ConvNeXt-Tiny
  crossref Kamal Gulati, Aruna Malik 2026-05-21T19:40:52Z 置信度 0.70
• Prioritized Sweeping: Reinforcement Learning with Less Data and Less Time
  crossref Andrew W. Moore, Christopher G. Atkeson 2003-04-04T16:55:36Z 置信度 0.70
• DICOMP: Deep Reinforcement Learning for Integer Compression
  crossref Mohamad Khalil Farhat, Ji Zhang, Xiaohui Tao, Tianning Li 2025-10-15T19:41:37Z 置信度 0.70
• Role of Machine Learning in Social Area Networks
  crossref Rajeswari Arumugam, Premalatha Balasubramaniam, Cynthia Joseph 2020-10-09T12:43:22Z 置信度 0.70
• Predicting Air Quality Index with Machine Learning Models
  crossref G. Abirami, R. Girija, Anindya Das, Navneeth Sreenivasan 2022-03-17T17:03:25Z 置信度 0.70
• Applying deep reinforcement learning to minimize flow fluctuations in digital flow control
  crossref Essam Elsaed, Matti Linjama 2025-06-05T22:01:33Z 置信度 0.70
• Learning Controllers for Industrial Robots
  crossref C. Baroglio, A. Giordana, R. Piola, M. Kaiser 等 2003-02-06T17:07:14Z 置信度 0.70
• Role of machine learning and deep learning in advancing generative artificial intelligence such as ChatGPT
  The advancement of machine learning (ML) and deep learning (DL) has greatly accelerated the progress of generative artificial intelligence (GAI) models such as ChatGPT, transforming multiple industries through improved human-machine communication. This study i…
  crossref Nitin Liladhar Rane, Suraj Kumar Mallick, Ömer Kaya, Jayesh Rane 2024-10-22T04:52:47Z 置信度 0.70
• Grammar Learning
  crossref 2010-12-29T17:43:13Z 置信度 0.70
• Inductive Learning
  crossref 2010-12-29T17:31:37Z 置信度 0.70
• Figure 3: Growth of machine learning and deep learning in sustained attention.
  crossref 2023-06-13T04:05:41Z 置信度 0.70
• Automatic classification of takeaway food outlet cuisine type using machine (deep) learning
  crossref Tom R.P. Bishop, Stephanie von Hinke, Bruce Hollingsworth, Amelia A. Lake 等 2021-07-10T05:23:57Z 置信度 0.70
• cloudml: Interface to the Google Cloud Machine Learning Platform
  crossref Daniel Falbel, Javier Luraschi, JJ Allaire, Kevin Ushey 2024-06-11T04:17:57Z 置信度 0.70
• An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples
  crossref Renée Elio, Larry Watanabe 2003-04-04T16:55:36Z 置信度 0.70
• e-Resources Relevant to Machine Learning Tools for Medicinal Chemistry
  The integration of machine learning (ML) into medicinal chemistry has revolutionized the drug discovery process by enabling data-driven predictions and decision-making. This chapter provides a detailed overview of key e-resources that support the effective app…
  crossref Sushmita Barua, B. Balaji, S. Balaji 2026-07-22T08:41:26Z 置信度 0.70
• Wireless Communications Using Machine Learning and Deep Learning
  crossref Himanshu Priyadarshi, Kulwant Singh, Ashish Shrivastava 2022-11-18T21:51:15Z 置信度 0.70
• Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning
  crossref Raymond J. Mooney 2003-04-04T16:55:36Z 置信度 0.70
• Lifelong Semi-supervised Learning for Information Extraction
  crossref Zhiyuan Chen, Bing Liu 2022-12-06T19:08:30Z 置信度 0.70
• Figure 3: Machine learning decision tree.
  crossref 2023-07-28T07:07:50Z 置信度 0.70
• Keynote 2: Emerging Opportunities with Data Analytics and Machine Learning in Subsurface Modeling
  crossref M. Pyrcz 2021-02-25T00:11:40Z 置信度 0.70
• Model Selection for Machine Learning
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.70
• Classification by Feature Partitioning
  crossref H. Altay Guvenir, İzzet Şirin 2003-02-06T17:07:14Z 置信度 0.70
• Machine Learning Scalability Requires High Performance Computing Strategies
  crossref D. Akhiyarov, A. Gherbi, M. Araya-Polo 2021-01-15T16:19:52Z 置信度 0.70
• Chapter 22: Physics-Informed Machine Learning Inversion of Seismic Data
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Chemical Discovery as Belief Revision
  crossref Donald Rose, Pat Langley 2003-04-04T16:57:10Z 置信度 0.70
• Employee Salaries Analysis and Prediction with Machine Learning
  crossref Guanqi Wang 2022-11-15T20:45:01Z 置信度 0.70
• Machine Learning Approach to Art Authentication
  The popularity of machine learning algorithms produced numerous applications in computer vision in the past 10 years. One application is art authentication, which assures that a piece of art is created by an artist. The models produced by machine learning algo…
  crossref Bryan Todd Dobbs, Zbigniew W. Ras 2023-01-20T15:44:01Z 置信度 0.70
• 4. From classical to quantum machine learning
  In recent years, Machine Learning (ML) has started to be ubiquitously applied to practically most of the human activity domains. Although traditional, or classical machine learning (CML) approaches are useful in solving many complex tasks, there are still many…
  crossref Arit Kumar Bishwas, Ashish Mani, Vasile Palade 2020-07-10T08:08:32Z 置信度 0.70
• Attribute Assisted Interpretation Confidence Classification Using Machine Learning
  An attribute assisted classification deriving estimates of interpretation confidence was performed. Instantaneous and coherency attributes were used in a supervised followed by an unsupervised classification resulting in an error envelope of the interpretation…
  crossref Wolfgang Weinzierl 2018-01-23T12:20:07Z 置信度 0.70
• The Future of Machine Learning
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.70
• What Is Machine Learning?
  Chapter 4 starts with an introduction to machine learning (ML), with the concepts presented as simple pictorial examples that aid the reader to understand ML with ease. The relationship between artificial intelligence, machine learning and deep learning is bri…
  crossref Shriram K. Vasudevan, Nitin Vamsi Dantu, Sini Raj Pulari, T. S. Murugesh 2023-08-21T16:10:19Z 置信度 0.70
• A Prediction of Users Repurchase Based on Machine Learning Theory
  crossref Hanzhe Zhang 2026-01-22T20:58:30Z 置信度 0.70
• Unsupervised Learning
  crossref Peter Wittek 2014-09-29T15:34:32Z 置信度 0.70
• Considerations for Evaluation and Generalization in Interpretable Machine Learning
  crossref Finale Doshi-Velez, Been Kim 2018-11-29T08:58:26Z 置信度 0.70
• Wavelet-Aided Stock Forecasting Model based on Ensembled Machine Learning
  crossref Yuanyuan Qu, Zhongkai Zhang, Zhiliang Qin 2020-12-17T23:50:38Z 置信度 0.70
• Monetizing Healthcare Machine Learning
  crossref Puneet Mathur 2018-12-12T19:05:50Z 置信度 0.70
• Self-Organizing Teams
  crossref Eric Carter, Matthew Hurst 2019-08-21T15:03:53Z 置信度 0.70
• Machine learning
  crossref Marcele O.K. Mendonça, Sergio L. Netto, Paulo S.R. Diniz, Sergios Theodoridis 2023-07-06T11:01:01Z 置信度 0.70
• Classic Machine Learning Methods
  Abstract In this chapter, we present the main classic machine learning methods. A large part of the chapter is devoted to supervised learning techniques for classification and regression, including nearest neighbor methods, linear and logistic regressions, sup…
  crossref Johann Faouzi, Olivier Colliot 2023-07-24T19:03:02Z 置信度 0.70
• Shallow Learning Versus Deep Learning in Natural Language Processing Applications
  crossref Lina Sawalha, Tahir Cetin Akinci 2024-10-12T18:01:28Z 置信度 0.70
• Machine learning techniques for analysing cardiotocography signals for early detection of fetal anomalies based on feature engineering methods
  crossref Ibrahim Abunadi 2025-10-19T22:06:41Z 置信度 0.70
• Deductive Learning
  crossref 2010-12-29T17:33:48Z 置信度 0.70
• Transductive Learning
  crossref 2010-12-29T17:23:23Z 置信度 0.70
• Beyond deep learning
  Στην παρούσα μελέτη εξετάζονται αναπαραστάσεις δεδομένων για προβλήματα Mηχανικής Mάθησης, με έμφαση τον εμπλουτισμό τους με πληροφορία από πηγές γνώσεων.Αρχικά, εκπονήθηκε βιβλιογραφική μελέτη για αναπαραστάσεις δεδομένων κειμένου, εικόνας και ήχου στο πρόβλη…
  crossref Νικηφόρος Πιτταράς 2022-04-15T07:22:31Z 置信度 0.70
• Discriminative Learning
  crossref 2010-12-29T17:33:48Z 置信度 0.70
• Nogood Learning
  crossref 2010-12-29T17:26:29Z 置信度 0.70
• Machine Learning in Drug Repurposing
  Drug repurposing, also known as drug repositioning, is a strategy that involves finding new therapeutic uses for existing drugs. This approach has gained significant attention in recent years due to its potential to reduce the time and cost associated with dru…
  crossref Sk. Abdul Amin, Lucia Sessa, Eugenio Sottile, Simona Concilio 等 2026-07-22T08:41:26Z 置信度 0.70
• Research Aspects of Machine Learning: Issues, Challenges, and Future Scope
  crossref Reena Thakur, Mayur Tembhurney, Dheeraj Rane 2021-07-07T14:42:19Z 置信度 0.70
• Plausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies
  crossref Gheorghe Tecuci 2003-04-04T16:55:36Z 置信度 0.70
• Bio-inspired optimization algorithms for machine learning in agriculture applications
  crossref P.R. MahiDar, Deepika Ghai 2020-12-10T10:57:28Z 置信度 0.70
• Software Defect Prediction Based on Tree-structured Parzen Estimator Using Machine Learning Classifiers
  crossref 2024-06-21T08:52:29Z 置信度 0.70
• Why Topology for Machine Learning and Knowledge Extraction?
  Data has shape, and shape is the domain of geometry and in particular of its “free” part, called topology. The aim of this paper is twofold. First, it provides a brief overview of applications of topology to machine learning and knowledge extraction, as well a…
  crossref Massimo Ferri 2018-05-03T03:20:27Z 置信度 0.70