Results 81 to 90 of about 201,162 (313)
Test set macro F1 score for the tested TC methods.
, 2022 Test set macro F1 score for the tested TC methods.
Andrea Gasparetto (13007211) +3 more
core +1 more source
Advanced Functional Materials, EarlyView.Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee +10 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha +9 more
wiley +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
BioengineeringThe retina offers a unique window into both ocular and systemic health, motivating the development of AI-based tools for disease screening and risk assessment.
Mohammad Mahdi Aghabeigi Alooghareh +4 more
doaj +1 more source
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
Advanced Materials, EarlyView.An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source
Semantic F1 Scores: Fair Evaluation Under Fuzzy Class Boundaries
CoRRWe propose Semantic F1 Scores, novel evaluation metrics for subjective or fuzzy multi-label classification that quantify semantic relatedness between predicted and gold labels. Unlike the conventional F1 metrics that treat semantically related predictions as complete failures, Semantic F1 incorporates a label similarity matrix to compute soft precision-
Georgios Chochlakis +5 more
openaire +2 more sources
Precision, Recall and F1 score
, 2018 <p>Precision, Recall and F1 score calculated to compare the automatic annotation with that from domain experts.</p ...
Olga Giraldo, Olga Giraldo (4991132)
core +1 more source
The loss, ACC F1 score curve in four experimental classifications.
, 2023 The loss, ACC F1 score curve in four experimental classifications.
Lihui Zhang (482145) +4 more
core +1 more source
Advanced Materials, EarlyView.A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source