Results 61 to 70 of about 5,726,851 (263)

Exploration of Multi-Label Classification Techniques for Modelling of Specialty Arabica Coffee Flavour Notes [PDF]

Predicting the complex flavor profiles of specialty Arabica coffee is a challenging task due to the subjective nature of human sensory evaluations. This study investigates the application of visible-near-infrared (vis-NIR) spectroscopy coupled with multi-
Sherman, Ho
core   +1 more source

Deep Multi-label Classification in Affine Subspaces [PDF]

, 2019
Multi-label classification (MLC) problems are becoming increasingly popular in the context of medical imaging. This has in part been driven by the fact that acquiring annotations for MLC is far less burdensome than for semantic segmentation and yet ...
Sznitman, Raphael, Thomas Kurmann, Sebastian Wolf, Raphael Sznitman, Kurmann, Thomas, Márquez-Neila, Pablo, Wolf, Sebastian, Pablo Márquez-Neila   +7 more
core   +1 more source

Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework

CoRR
Recently, multi-view and multi-label classification have become significant domains for comprehensive data analysis and exploration. However, incompleteness both in views and labels is still a real-world scenario for multi-view multi-label classification.
Bingyan Nie, Wulin Xie, Jiang Long, Xiaohuan Lu   +3 more
openaire   +2 more sources

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

Multi-Label Classification

, 2009
Multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization, and semantic scene classification.
Ioannis Katakis, Grigorios Tsoumakas
core   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

Advanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw, Zhanhong Yang, Anne Ladegaard Skov, Magdalena Skowyra   +3 more
wiley   +1 more source

Reliable Representations Learning for Incomplete Multi-View Partial Multi-Label Classification [PDF]

As a cross-topic of multi-view learning and multi-label classification, multi-view multi-label classification has gradually gained traction in recent years. The application of multi-view contrastive learning has further facilitated this process, however,
Xu, Yong, Nie, Liqiang, Zhang, Bob, Liu, Chengliang, Wen, Jie, Zhang, Min   +5 more
core   +1 more source

Multi-label code-smell dataset

, 2023
The multi-label code-smell dataset for studies related to multi-label ...
Binh Nguyen Thanh (13965222)
core   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance

BMC Genomics
Background The subcellular localization of mRNA plays a crucial role in gene expression regulation and various cellular processes. However, existing wet lab techniques like RNA-FISH are usually time-consuming, labor-intensive, and limited to specific ...
Yu Deng, Jianhua Jia, Mengyue Yi
doaj   +1 more source