Data-Driven Spatio-Temporal Filters for Crosstalk Reduction in High-Density Surface EMG

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Beyond High-Confidence Sampling: Boosting Data Utilization and Model Calibration in Semi-Supervised Learning

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An approach to Data Literacy through a Personalized Interactive LGPD Guide using LLM for Educators

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SEPARATE: Storm Event Partitioning And Rainfall Analytics for Tipping-bucket rain gauge data Evaluation

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos

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On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations

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Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data

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Constraint Automata on Infinite Data Trees: From CTL(Z)/CTL*(Z) To Decision Procedures

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Facebook’s data enclave and the woes of researching social media recommendation algorithms: A reflection on methods

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Evaluating Convolutional Autoencoders for Anomaly Detection on Space-Filling Curve-Transformed Control Flow Data

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trud: An R interface to the NHS England Technology Reference data Update Distribution (TRUD) API

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Sint Multiverse: Prototype Simulator for Generating Synthetic Health Determinant Data for Explainable AI Training

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Sparse Probabilistic Splits for Tree Ensembles: A Tunable Regularizer for Stable Generalization on Tabular Data

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Load Characteristics Analysis of Traction Substations of AC Electrified Railway Based on the Measured Load Data

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GeoAI: A Python package for integrating artificial intelligence with geospatial data analysis and visualization

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Abnormal Vessel Activity Detection Using a Two-Level Grid Representation of AIS Data

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Unsupervised Hand Tracking for Sign Language Recognition via Optical Flow and Previous Tracking Data

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Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation

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Metadata-Integrated Deep Semi-Autoencoder for Implicit-Feedback Recommendation Under Data Sparsity and Cold Start

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