Results 31 to 40 of about 8,233,255 (298)

Character Strengths Profiles in Medical Professionals and Their Impact on Well-Being

Frontiers in Psychology, 2020
Character strengths profiles in the specific setting of medical professionals are widely unchartered territory. This paper focused on an overview of character strengths profiles of medical professionals (medical students and physicians) based on ...
Alexandra Huber, Cornelia Strecker, Timo Kachel, Timo Kachel, Thomas Höge, Stefan Höfer   +5 more
doaj   +1 more source

Streaming Active Learning for Regression Problems Using Regression via Classification [PDF]

, 2023
One of the challenges in deploying a machine learning model is that the model's performance degrades as the operating environment changes. To maintain the performance, streaming active learning is used, in which the model is retrained by adding a newly ...
Horiguchi, Shota, Dohi, Kota, Kawaguchi, Yohei   +2 more
core   +1 more source

Hypergraph Classification via Persistent Homology

CoRR, 2023
Persistent homology is a mathematical tool used for studying the shape of data by extracting its topological features. It has gained popularity in network science due to its applicability in various network mining problems, including clustering, graph classification, and graph neural networks.
Mehmet Emin Aktas, Thu Nguyen 0002, Rakin Riza, Muhammad Ifte Islam, Esra Akbas   +4 more
openaire   +2 more sources

Multi-View Classification via Adaptive Discriminant Analysis

IEEE Access, 2019
In many real applications, an object is usually represented with multiple views, providing compatible and complementary information to each other. Therefore, it is highly desirable to recognize the object from distinct and even heterogeneous views.
Deyan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao   +5 more
doaj   +1 more source

Action Classification via Concepts and Attributes [PDF]

2018 24th International Conference on Pattern Recognition (ICPR), 2018
Classes in natural images tend to follow long tail distributions. This is problematic when there are insufficient training examples for rare classes. This effect is emphasized in compound classes, involving the conjunction of several concepts, such as those appearing in action-recognition datasets.
Amir Rosenfeld, Shimon Ullman
openaire   +4 more sources

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Supplementary Materials: Using Multiple Real-World Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning

, 2023
Supplementary Material for our JAAD research letter "Using Multiple Real-World Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning"THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Brinker, T (via Mendeley Data), Brinker, Titus   +1 more
core   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

improving speech emotion recognition via gender classification [PDF]

مجله مدل سازی در مهندسی, 2017
Speech emotion recognition is a relatively new field of research that could plays an important role in man-machine interaction. In this paper we use from two new spectral features for the automatic recognition of human affective information from speech ...
Ali Harimi, Khashayar Yaghmaie
doaj   +1 more source

Lightweight Metagenomic Classification via eBWT [PDF]

, 2019
The development of Next Generation Sequencing has had a major impact on the study of genetic sequences, and in particular, on the advancement of metagenomics, whose aim is to identify the microorganisms that are present in a sample collected directly from the environment.
Veronica Guerrini, Giovanna Rosone
openaire   +2 more sources