Results 131 to 140 of about 822,037 (305)

Pig Face Open Set Recognition and Registration Using a Decoupled Detection System and Dual-Loss Vision Transformer

Animals
Effective pig farming relies on precise and adaptable animal identification methods, particularly in dynamic environments where new pigs are regularly added to the herd.
Ruihan Ma, Hassan Ali, Malik Muhammad Waqar, Sang Cheol Kim, Hyongsuk Kim   +4 more
doaj   +1 more source

A metric learning-based method for biomedical entity linking. [PDF]

Front Res Metr Anal, 2023
Le ND, Nguyen NTH.
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Distance-Metric Learning for Personalized Survival Analysis. [PDF]

Entropy (Basel), 2023
Galetzka W, Kowall B, Jusi C, Huessler EM, Stang A.   +4 more
europepmc   +1 more source

Should Colleges Invest in Machine Learning? Comparing the Predictive Powers of Early Momentum Metrics and Machine Learning for Community College Credential Completion

, 2020
Takeshi Yanagiura
openalex   +1 more source

Pig Face Recognition Based on Metric Learning by Combining a Residual Network and Attention Mechanism [PDF]

, 2023
Rong Wang, Ronghua Gao, Qifeng Li, Jiabin Dong   +3 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Basic metric learning

, 2008
This report presents a a novel Multiple Kernel Learning (MKL) algorithm for the 1-class support vector machine. The emphasis is placed on viewing the CBIR task with relevance feedback as a metric learning problem, where each image has 11 different feature extraction methods applied to it. Our method attempts at finding the most compact ball amongst the
Hussain, Zakria, Shawe-Taylor, John, Saunders, Craig, Pasupa, Kitsuchart   +3 more
openaire   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

From Random Search to Bandit Learning in Metric Measure Spaces [PDF]

, 2023
Chuying Han, Yasong Feng, Tianyu Wang
openalex   +1 more source