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- Screening autism spectrum disorder in children using machine learning on speech transcripts
- Federated multi scale vision transformer with adaptive client aggregation for industrial defect detection
- An interpretable hybrid deep learning framework for gastric cancer diagnosis using histopathological imaging
- Enhanced multi objective graph learning approach for optimizing traffic speed prediction on spatial and temporal features
- Video analysis of tree sway offers non-invasive method to monitor forest health
- Frequency-based Quantum Deep Learning Models Capture Opinion Shifts In Deliberative Discourse And Predict Outcomes
- AI model can manipulate time to make better predictions in a wide range of fields
- Georgia Tech Students Take Charge with New AI and Engineering Course
- Building adaptive knowledge bases for evolving continual learning models
- A Two-Phase Learning Approach Integrated with Multi-Source Features for Cloud Service QoS Prediction
- Combining RWD And Machine Learning To Determine Meaningful Patient Populations
- Machine Learning Enables 96% Accurate Single-Pixel Detection Of Structured Light With Speckle-Learned Recognition
- Change-point detection with deep learning: A review
- A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
- Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
- Fast Machine Learning Models -Nearest Neighbour Regression Rivals Kernel Ridge Regression For Atmospheric Molecular Clusters
- Study highlights challenges and gaps in identifying patients’ social needs: Richard M. Fairbanks School of Public Health : Indiana University
- Machine Learning Accelerates Direct Energy Deposition Research
- Spatial gene expression at single-cell resolution from histology using deep learning with GHIST
- Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond
- Improved light sheet microscope allows researchers to watch the brain learn
- Reinforcement Learning Achieves Breakthrough In Reasoning AI
- Robot movement planning for obstacle avoidance using reinforcement learning
- Improve recruit skills with learning styles
- Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
- Hybrid Intrusion Detection System Optimizes Resource-Constrained Networks With Genetic Algorithms And Self-Supervised Learning
- BamClassifier: a machine learning method for assessing iron deficiency
- Applying Universal Design for Learning (UDL) Supports Inclusive Education
- From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
- A comparative analysis of parametric survival models and machine learning methods in breast cancer prognosis
- Roles of programming self-efficacy, cognitive styles, and self-regulated learning strategies on computational thinking in computer programming
- Interpretable X-ray diffraction spectra analysis using confidence evaluated deep learning enhanced by template element replacement
- A fused weighted federated learning-based adaptive approach for early-stage drug prediction
- An AI-Driven Approach to Creating Effective Learning Experiences at QCon
- Cyberattack event and arguments extraction based on feature interaction and few-shot learning
- University english teaching evaluation using artificial intelligence and data mining technology
- Estimation of state of health for lithium-ion batteries using advanced data-driven techniques
- Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors
- Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification
- GEPA optimizes LLMs without costly reinforcement learning
- OpenSWI Dataset Advances Deep Learning For Surface Dispersion Curve Inversion
- Anatomy education at central Europe medical schools: a qualitative analysis of educators’ pedagogical knowledge, methods, practices, and challenges | BMC Medical Education
- Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis
- Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis
- New research could block AI learning from your online content
- Set-Transformer Architecture Accelerates Variational Monte Carlo Calculations Of Magnetization Powers
- Watertown School Board Discusses Curriculum Revisions and Teacher Development Efforts | Local News
- Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition
- A review of machine learning applications in heart health | BioMedical Engineering OnLine
- Batch evaluation of collective owned commercialised construction land using machine learning
- OpenAI’s IMO Team on Finally Solving Elite-Level Math
- Controllable Image Generation Based on Causal Representation Learning
- A comparative study of manifold learning methods for scRNA-seq with a trajectory-aware metric
- Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy
- A hybrid filtering and deep learning approach for early Alzheimer’s disease identification
- Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors
- Los Alamos researchers unlock quantum machine learning
- Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis | BMC Oral Health
- Advancing deep learning for expressive music composition and performance modeling
- Students & syllabi evolving, yet BEd teacher training lags behind | Hyderabad News
- A machine learning-based prediction-to-map framework for rapid and accurate spatial flood prediction
- How AI helps to solve a big problem with small earthquakes
- San Miguel School allows students to succeed: Commentary
- Apple Workshop on Human-Centered Machine Learning 2024
- A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study
- Prognosis of air quality index and air pollution using machine learning techniques
- What comes next with reinforcement learning
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- Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils
- Domain-incremental white blood cell classification with privacy-aware continual learning
- Effect of preclinical training in periodontal instrumentation on undergraduate students’ anxiety, clinical performance, satisfaction | BMC Oral Health
- Network-based intrusion detection using deep learning technique
- Enhanced spectrum sensing for 5G and LTE signals using advanced deep learning models and hyperparameter tuning
- Multi-task genomic prediction using gated residual variable selection neural networks | BMC Bioinformatics
- Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture
- Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces
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- Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach
- Revisiting Benchmarking of Tabular Reinforcement Learning Methods
- A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs
- How AI and machine learning are transforming drug discovery
- 'Quantum AI' algorithms already outpace the fastest supercomputers, study says
- Deploying AI On Resource-Constrained Edge Devices.
- Integrating deep learning and machine learning for ceramic artifact classification and market value prediction
- Should organisations commit to on-demand learning?
- A framework to evaluate machine learning crystal stability predictions
- Reinforcement Learning Teachers of Test Time Scaling
- HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities
- Inspirational Achievements Recognized at the 2025 SDCTE Annual Conference | State News
- Learning vision-based agile flight via differentiable physics
- Machine learning method improves accuracy of inverse protein folding for drug design
- A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data
- Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis | BMC Public Health
- PointMoment: a mixed-moment self-supervised learning approach for 3D Terracotta Warriors
- GenAi and machine learning vital to operational efficiency in unconventional fields
- Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome
- Emotion recognition with multiple physiological parameters based on ensemble learning
- Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand | BMC Public Health
- Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels
- Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI
- Clustering-based approach accelerates AI learning in robotics and gaming
- Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance
- Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and Accuracy
- An efficient bearing fault detection strategy based on a hybrid machine learning technique
- Efficient Techniques From Swaminathan Sethuraman Reshaping Neural Networks
- Perception of undergraduate medical students regarding “Reel-Making” as an innovative learning method in ophthalmology: a cross-sectional study | BMC Medical Education
- The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
- Additive manufacturing source identification from photographs using deep learning
- Deep learning method identifies transition states in protein conformational changes
- Machine learning for improved density functional theory thermodynamics
- Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification
- Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery
- Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health
- Enhancing student reading performance through a personalized two-tier problem-based learning approach with generative artificial intelligence
- Machine learning approach leads to discovery of high-performance infrared functional materials
- A meta-learning approach for selectivity prediction in asymmetric catalysis
- New radiotherapy technique aims to protect the heart during lung cancer treatment
- Investigating the learning value of early clinical exposure among undergraduate medical students in Dubai: a convergent mixed methods study | BMC Medical Education
- Federal Circuit Ruling Narrows Patent Eligibility for Machine Lea
- A novel approach for music genre identification using ZFNet, ELM, and modified electric eel foraging optimizer
- Storm surge predictions get a boost from hybrid wind field and machine learning models
- A periodic table of machine learning
- Effectiveness of a multi-model teaching strategy to train emergency medicine residents to use point-of-care ultrasound (POCUS) for assessment of shock | BMC Medical Education
- Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features
- Anomaly Detection at Scale: Machine Learning Approaches for Enterprise Data Monitoring
- Busted! Engineers Revolutionize Fraud Detection with Machine Learning
- Earth-like Planet Predictor: A Machine Learning Approach
- New Training Methods to Save Apple Intelligence?
- Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy
- Machine learning unlocks superior performance in light-driven organic crystals
- A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease
- The Rise of AI in Education: Balancing Technology and Traditional Teaching Methods
- Training and Hospitality Education: Trends, Methods, and Options
- Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods
- A three-stage machine learning and inference approach for educational data
- Rise Up Launches AI Memorisation Feature for LMS | EdTech News
- A quantum inspired machine learning approach for multimodal Parkinson’s disease screening
- Investigation of the relationship between learning preferences and information acquisition and processing processes of physiotherapy and rehabilitation department students | BMC Medical Education
- A machine learning approach for corrosion rate modeling in Patna water distribution network of Bihar
- New algorithm unlocks the power of quantum machine learning
- How Purpose-Based Learning Leads to
- Machine learning model outperforms traditional methods in myelofibrosis risk stratification
- Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology
- Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection | BMC Psychiatry
- AI-driven teaching methods essential for modern education, researcher says
- Machine learning methods for predicting residual strength in corroded oil and gas steel pipes
- Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques | Parasites & Vectors
- Education: Using AI to Personalise Learning Methods
- Google DeepMind Launches Gemini Robotics AI Model -
- Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis
- Machine learning framework accelerates theoretical design of nonlinear optical materials
- Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin
- BWM analysis of online and offline learning effectiveness in Bangladesh
- Machine learning precisely predicts material characteristics for high-performance photovoltaics
- Incorporating soil information with machine learning for crop recommendation to improve agricultural output
- 5 Ways Homeschooling Supports Different Learning Styles
- Education: Using AI to Personalise Learning Methods
- Strategies and barriers to implementing physically active teaching in universities from the perspective of lecturers: a qualitative study | BMC Public Health
- Strategies for Teaching Complex Subjects in Large Hybrid Classrooms Across Campus: Bridging Engagement and Equity Across Modalities - Faculty Focus
- Bringing art into classrooms can benefit students who are learning to speak English
- Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approach
- A New Machine Learning Approach Answers What-If Questions
- Bog standard? Study seeks most effective toilet training methods | Parents and parenting
- World's First Machine Learning Model Combats Wrong-Site Surgery - Surgical Techniques
- Harvard Classes Don’t Have To Be This Boring | Opinion
- An assessment of machine learning methods to quantify blood lactate from neutrophils phagocytic activity
- Utilizing AI for drought prediction | Waterloo News
- A feature explainability-based deep learning technique for diabetic foot ulcer identification
- AI Finds Shared Neural Patterns Across Minds
- Application of deep learning for fruit defect recognition in Psidium guajava L
- How HR can tailor onboarding experiences to unique learner preferences
- Development and validation of machine learning models based on stacked generalization to predict psychosocial maladjustment in patients with acute myocardial infarction | BMC Psychiatry
- Temporal and spatial self supervised learning methods for electrocardiograms
- MARBLE: interpretable representations of neural population dynamics using geometric deep learning
- Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO2
- Multifactor prediction model for stock market analysis based on deep learning techniques
- Station Rotations Transform Early Childhood Education in DoDEA’s 21st Century Learning | Article
- Machine learning approach leads to a 'living systematic map' of climate policy research
- Preserving and combining knowledge in robotic lifelong reinforcement learning
- A deep-learning approach to parameter fitting for a lithium metal battery cycling model, validated with experimental cell cycling time series
- New method revolutionizes body composition analysis using 3D imaging and deep learning
- A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography
- New machine learning approach improves single-cell data analysis
- Machine learning-based method enhances accuracy of measuring dip angles and directions in rock facets
- Polarimetric image recovery method with domain-adversarial learning for underwater imaging
- Researchers from University of Waterloo and CMU Introduce Critique Fine-Tuning (CFT): A Novel AI Approach for Enhancing LLM Reasoning with Structured Critique Learning
- Machine Learning Methods for Modeling in Psychology
- 7 Progressive Leadership Trainings That Develop Impactful Leaders
- Deep learning model helps detect lung tumors on CT scans
- An approach for detecting prenatal depression
- U of G Receives Over $ 16M to Lead National Agri-Food Innovation and Training Platform
- Distributed training of foundation models for ophthalmic diagnosis
- Exploring peer learning module vs. conventional tutorials: effects on engagement and learning outcomes among first-year medical students | BMC Medical Education
- Is it really a neuromyth? A meta-analysis of the learning styles matching hypothesis
- How Educational Institutions Can Take A 'Hybrid' Approach To Learning
- A machine learning approach to leveraging electronic health records for enhanced omics analysis
- Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
- Geometric machine learning method promises to accelerate precision drug development
- Artificial intelligence - Machine Learning, Robotics, Algorithms
- Improving model performance in mapping black-soil resource with machine learning methods and multispectral features
- Machine learning technique can transform hospital care for long-COVID patients
- Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods
- Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients
- Here’s what happens when teachers tailor their lessons to students’ individual learning styles
- Rise of AI in digital learning compared to traditional learning methodologies
- Deep Learning for Outlier Detection on Tabular and Image Data | by W Brett Kennedy | Jan, 2025
- The role of lifelong learning characteristics and learning approaches in preparing students for successful work adjustment | Work-Learn Institute
- This AI Paper Introduces G-NLL: A Novel Machine Learning Approach for Efficient and Accurate Uncertainty Estimation in Natural Language Generation
- A comprehensive survey of federated transfer learning: Challenges, methods and applications
- Synergizing quantum techniques with machine learning for advancing drug discovery challenge
- Advancements in reinforcement learning for personalized patient care
- Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
- The Rise of AI in Education Market: A .82 billion
- Deep Bayesian active learning using in-memory computing hardware
- Effectiveness of the application of small private online course combined with PBL model based on massive open online course in the teaching of neurology | BMC Medical Education
- How Machine Learning Techniques Optimize Product Discoverability and Boost Online Sales
- Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems
- The joy of true play
- 'AI-at-scale' method accelerates atomistic simulations for scientists
- Learning that sticks // Show Me Mizzou // University of Missouri
- The role of machine learning methods in physiological explorations of endurance trained athletes: a mini-review
- Georgia State University accused of teaching ‘debunked’ reading methods
- Call for Proposals: Approaches to Human Rights Pedagogy
- Model Validation Techniques | Towards Data Science
- Balancing Privacy and Robustness in NLP: A New Approach for Secure Prompt Learning in LLMs
- Application of machine learning in breast cancer survival prediction using a multimethod approach
- Exploring Innovation, Machine Learning, and Ethical Practices Across the Product Lifecycle
- Medical students’ perceptions of a community-engaged learning approach to community health in Ghana: the Students’ Community Engagement Programme (SCEP) | BMC Medical Education
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- Machine learning approach discovers crystallizable organic semiconductors
- Audio-visual aesthetic teaching methods in college students’ vocal music teaching by deep learning
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- Machine learning insights into scapular stabilization for alleviating shoulder pain in college students
- Multi-agent learning for safe and efficient autonomous vehicles
- Novel machine learning techniques can measure ocean's oxygen loss more accurately
- The use of bedside case-based learning in the clinical practice of midwifery education in China | BMC Medical Education
- Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty
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- Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health
- This AI Paper from the Technical University of Munich Introduces a Novel Machine Learning Approach to Improving Flow-Based Generative Models with Simulator Feedback
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- Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers
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