Results 81 to 90 of about 6,238,484 (290)

Score Images as a Modality: Enhancing Symbolic Music Understanding through Large-Scale Multimodal Pre-Training

Sensors
Symbolic music understanding is a critical challenge in artificial intelligence. While traditional symbolic music representations like MIDI capture essential musical elements, they often lack the nuanced expression in music scores.
Yang Qin, Huiming Xie, Shuxue Ding, Yujie Li, Benying Tan, Mingchuan Ye   +5 more
doaj   +1 more source

Learning Contour-Based Mid-Level Representation for Shape Classification

IEEE Access, 2020
This article proposes a novel contour-based mid-level shape description method for shape classification. This method resolves the shortcomings of low-level shape descriptors in dealing with the shapes of objects with large intra-class changes and non ...
Chengzhuan Yang, Lincong Fang, Hui Wei
doaj   +1 more source

Certifying algorithms

Computer Science Review, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
McConnell, R M, Mehlhorn, Kurt, Naher, S, Schweitzer, Pascal   +3 more
openaire   +3 more sources

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

An Early Warning Method of College Students’ Psychological Crisis Based on Emotion Recognition

Journal of Electrical and Computer Engineering
In order to realize rapid and accurate early warning of college students’ psychological crisis, an improved emotion recognition method based on the YOLOv8 model is proposed.
Haifeng Qian, Sai Che, Wenhe Chen
doaj   +1 more source

SDE-based software reliability additive models with masked data using ELS algorithm

Journal of King Saud University: Computer and Information Sciences
The growing complexity of contemporary software systems, with multiple sub-modules, demands innovative modeling approaches, especially in addressing intricate failures and masked data generation.
Jianfeng Yang, Ming Ding, Menglan He, Zhoutao Zheng, Nan Yang   +4 more
doaj   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Nonlocal spatial attention module for image classification

International Journal of Advanced Robotic Systems, 2020
To enhance the capability of neural networks, research on attention mechanism have been deepened. In this area, attention modules make forward inference along channel dimension and spatial dimension sequentially, parallelly, or simultaneously.
Bingling Chen, Yan Huang, Qiaoqiao Xia, Qinglin Zhang   +3 more
doaj   +1 more source

Algorithmic probability

Scholarpedia, 2007
Algorithmic "Solomonoff" Probability (AP) assigns to objects an a priori probability that is in some sense universal. This prior distribution has theoretical applications in a number of areas, including inductive inference theory and the time complexity analysis of algorithms.
Hutter, M., Legg, S., Vitanyi, P.M.B.
openaire   +3 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source