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Found 8 papers, 3 papers with code
Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling
Clinical patient notes are critical for documenting patient interactions, diagnoses, and treatment plans in medical practice.
An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms
Stroke prediction plays a crucial role in preventing and managing this debilitating condition.
DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics
We introduce DROP, a novel framework for modeling Dynamics Responses of humans using generative mOtion prior and Projective dynamics.
Grasping Core Rules of Time Series through Pure Models
Time series underwent the transition from statistics to deep learning, as did many other machine learning fields.
Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation
Real-time human motion reconstruction from a sparse set of (e. g. six) wearable IMUs provides a non-intrusive and economic approach to motion capture.
Policy Transfer via Kinematic Domain Randomization and Adaptation
Transferring reinforcement learning policies trained in physics simulation to the real hardware remains a challenge, known as the "sim-to-real" gap.
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
In addition, the metabolic energy function on muscle activations is transformed to a nonlinear function of joint torques, joint configuration and joint velocity.
Data-Augmented Contact Model for Rigid Body Simulation
Accurately modeling contact behaviors for real-world, near-rigid materials remains a grand challenge for existing rigid-body physics simulators.
