Results 51 to 60 of about 21,136,484 (286)

Experiments with multi-view multi-instance learning for supervised image classification [PDF]

, 2011
In this paper we empirically investigate the benefits of multi-view multi-instance (MVMI) learning for supervised image classification. In multi-instance learning, examples for learning contain bags of feature vectors and thus data from different views ...
Mayo, Michael, Frank, Eibe
core  

Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot

Sensors, 2018
In view of terrain classification of the autonomous multi-legged walking robots, two synthetic classification methods for terrain classification, Simple Linear Iterative Clustering based Support Vector Machine (SLIC-SVM) and Simple Linear Iterative ...
Yaguang Zhu, Kailu Luo, Chao Ma, Qiong Liu, Bo Jin   +4 more
doaj   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

Adaptive Disentangled Representation Learning for Incomplete Multi-View Multi-Label Classification

CoRR
Multi-view multi-label learning frequently suffers from simultaneous feature absence and incomplete annotations, due to challenges in data acquisition and cost-intensive supervision. To tackle the complex yet highly practical problem while overcoming the existing limitations of feature recovery, representation disentanglement, and label semantics ...
Quanjiang Li, Zhiming Liu, Tianxiang Xu, Tingjin Luo, Chenping Hou   +4 more
openaire   +3 more sources

Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
In recent years, multi-view multi-label learning has garnered considerable attention due to its broad application prospects, such as bioinformatics and medical imaging.
Yishan Jiang, Lian Zhao, Zhixian Jiang, Yinghao Ye, Xiaohuan Lu   +4 more
doaj   +1 more source

RENet: tactics and techniques classifications for cyber threat intelligence with relevance enhancement

四川大学学报. 自然科学版, 2022
Tactics, Techniques, and Procedures (TTPs) analysis in Cyber Threat Intelligence (CTI) providing a global view of cyberattack events and reveal system weaknesses, is a key technique for cyberattack traceability.
GE Wen-Han, WANG Jun-Feng, TANG Bin-Hui, YU Zhong-Kun, CHEN Bo-Han, YU Jian   +5 more
doaj  

Multi-label Deepfake Classification [PDF]

, 2023
peer reviewedIn this paper, we investigate the suitability of current multi-label classification approaches for deepfake detection. With the recent advances in generative modeling, new deepfake detection methods have been proposed.
NGUYEN, van Dat, Ghorbel, Enjie, AOUADA, Djamila, SINGH, Inder Pal, MEJRI, Nesryne   +4 more
core   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

Dynamic graph-guided imputation network for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
In practice, multi-view multi-label classification often faces the dual challenge of missing views and labels. Existing methods typically avoid redundant computations by simply masking missing items, which neither recovers missing view information nor ...
Xingang Mao, Yang Xu
doaj   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source