Results 261 to 270 of about 5,879,357 (336)

Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning. [PDF]

Sensors (Basel)
Bhave A, Kieson E, Hafner A, Gloor PA.
europepmc   +1 more source

Mepylome: A Point‐of‐Care Tumor Diagnostic Toolkit for Tumor DNA Methylation and Copy Number Analysis

Advanced Intelligent Systems, EarlyView.
DNA methylation and chromosomal copy number profiling have recently become essential for tumor diagnostics. The open‐source tool Mepylome enables this task in clinical routine. It combines several machine learning strategies and allows users to interactively examine respective data through an intuitive graphical interface. Running up to 65 times faster
Jon Brugger, Claus Hultschig, Daniel Baumhoer, Baptiste Ameline, Benjamin Maciej Freyter, Stephan Frank, Jürgen Hench   +6 more
wiley   +1 more source

Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson's Disease. [PDF]

Bioengineering (Basel)
Dattola S, Ielo A, Quartarone A, De Cola MC.   +3 more
europepmc   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning. [PDF]

Sensors (Basel)
Sun M, Zhong Y, He X, Zhang J.
europepmc   +1 more source

Computing p th root of a transition matrix with a deep unsupervised learning approach

Filippo Camellini, Giorgia Franchini, Marco Prato   +2 more
openalex   +2 more sources

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

Unsupervised learning reveals rapid gait adaptation after leg loss and regrowth in spiders.

J Exp Biol
Kane SA, Quinn BL, Wu XK, Xi SY, Ochs MF, Hsieh ST.   +5 more
europepmc   +1 more source

Unsupervised Learning of Progress Coordinates during Weighted Ensemble Simulations: Application to NTL9 Protein Folding. [PDF]

J Chem Theory Comput
Leung JMG, Frazee NC, Brace A, Bogetti AT, Ramanathan A, Chong LT.   +5 more
europepmc   +1 more source

Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning

, 2018
Michael Kampffmeyer
openalex   +1 more source