26 papers · ranked by Valyu relevance
Yan Miao, Xuan Tang, Chunyu Wang, Zhenyuan Sun + 3 more
'Shan Huang' 'Quan Zou'] Circular RNA, a class of RNA molecules gaining widespread attentions, has been widely recognized as a potential biomarker for many diseases. In recent years, significant progress has been made in the study of the associations between circRNA and diseases. However, traditional experimental…
Long Shi, Chuanqing Tang, Hepu Deng, Cai Xu + 2 more
Hierarchical Opinion Aggregation Authors: ['Long Shi' 'Chuanqing Tang' 'Hepu Deng' 'Cai Xu' 'Lei Xing' 'Badong Chen'] Abstract—Recently, multi-view learning has witnessed a considerable interest on the research of trusted decision-making. Previous methods are mainly inspired from an important paper published by Han et…
Zunguan Fan, Yifan Feng, Kang Wang, Xiaoli Li + 1 more
Efficient flotation beneficiation heavily relies on accurate flotation condition recognition based on monitored froth video. However, the recognition accuracy is hindered by limitations of extracting temporal features from froth videos and establishing correlations between complex multi-modal high-order data. To…
Jun-Yu Chen, Long Shi, Badong Chen
Enhancement and Aggregation Authors: ['Jun-Yu Chen' 'Long Shi' 'Badong Chen'] Graph Neural Networks (GNNs) have exhibited remarkable efficacy in learning from multi-view graph data. In the framework of multi-view graph neural networks, a critical challenge lies in effectively combining diverse views, where each view…
Gori Sankar Borah, Sukriti Tiwari, Selvaraman Nagamani
Accurate prediction of biomedical relationships, such as chemical–gene interactions, is fundamental to understanding disease mechanisms and advancing drug discovery. With the rapid growth of heterogeneous biological data, modeling large-scale, multi-entity networks has become increasingly challenging. Traditional…
Jinhui Hu, Lihong Qiao, Yucheng Shu, Andrea Murari
Robust representation learning from multi-source data necessitates the effective orchestration of complementary information while preserving semantic integrity. Existing methods primarily focus on class-level or instance-level alignment, neglecting fine-grained feature consistency and hierarchical collaborative…
Majid Hameed Ahmed, Sabrina Tiun, Nazlia Omar, Nor Samsiah Sani + 1 more
'Yunhe Wang'] Clustering texts together is an essential task in data mining and information retrieval, whose aim is to group unlabeled texts into meaningful clusters that facilitate extracting and understanding useful information from large volumes of textual data. However, clustering short texts (STC) is complex…
Yue Wang, Xibei Yang, Keyu Liu, Qihang Guo + 2 more
Multi-view learning has recently gained considerable attention in graph representation learning as it enables the fusion of complementary information from multiple views to enhance representation quality. However, most existing studies neglect that irrelevant views may introduce noise and negatively affect…
Liang Liu, Peng Chen, Guangchun Luo, Kang Zhao + 2 more
'Sanchu Han'] Abstract With the explosive growth of multi-source data, multi-view clustering has attracted great attention in recent years. Most existing multi-view methods operate in raw feature space and heavily depend on the quality of original feature representation. Moreover, they are often designed for feature…
Fabio Affaticati, Esther Bartholomeus, Kerry Mullan, Pierre Van Damme + 4 more
The high complexity of biological systems arises from the large number of spatially and functionally overlapping interconnected components constituting them. The immune system, which is built of reticular components working to ensure host survival from microbial threats, presents itself as particularly intricate. A…
Eugene Wu
Each output record of Qi is mapped to one mark. Given the view's mark type K, Ri maps attributes in the query result to visual attributes (e.g., x, y, color) valid for the mark type K. Let AQi be the attributes in Qi , and AK be the set of visual attributes for K. Ri is defined as: $R_{i}=\{K\to mark\}\cup\{a_{q}\to…
Bingjie Wu, Huijuan Xiong, Lin Zhuo, Yingjie Xiao + 2 more
Phenotype prediction is a promising strategy for accelerating molecular plant breeding. Data from multiple sources (called multi-view data) can provide complementary information to characterize a biological object from various aspects. By integrating multi-view information into phenotype prediction, a multi-view best…
Hassan Akell, Małgorzata Łazęcka, Dinesh Adhithya Haridoss, Miriam Urban + 2 more
Factor analysis is a dominant paradigm for multi-omic heterogeneous data, but is challenged by partially redundant signals and noise across views and by an unknown true number of factors. We present CLING, an unsupervised multi-view factor model with hierarchical Bayesian sparsity priors: a product-of-Gammas prior…
Yixiang Huang, Yuan Gan, Xinqi Gong
Multi-omics profiling—spanning proteomics, transcriptomics, and additional omics data types—is rapidly advancing, providing increasingly detailed maps of cellular identity and function. In parallel, computational methods have evolved to integrate diverse omics with increasing precision in resolving cellular…
Hailu Yang, Qian Liu, Jin Zhang, Xiaoyu Ding + 3 more
'Boleslaw K. Szymanski'] The semantic social network is a complex system composed of nodes, links, and documents. Traditional semantic social network community detection algorithms only analyze network data from a single view, and there is no effective representation of semantic features at diverse levels of…
Weixuan Liu, Katherine A. Pratte, Peter J. Castaldi, Craig Hersh + 3 more
Multiple -omics (genomics, proteomics, etc.) profiles are commonly generated to gain insight into a disease or physiological system. Constructing multi-omics networks with respect to the trait(s) of interest provides an opportunity to understand relationships between molecular features but integration is challenging…
Vladimir Guchev, Paolo Buono, Cristina Gena
The analysis of structured complex data, such as clustered graph based datasets, usually applies a variety of visual representa9on techniques and formats. The majority of currently available tools and approaches to exploratory visualiza9on are built on integrated schemes for simultaneous displaying of mul9ple aspects…
Yalan Qin, Nan Pu, Hanzhou Wu, Nicu Sebe
—Multi-view clustering aims to study the complementary information across views and discover the underlying structure. For solving the relatively high computational cost for the existing approaches, works based on anchor have been presented recently. Even with acceptable clustering performance, these methods tend to…
Raphael Kirchgaessner, Kaya Keutler, Layaa Sivakumar, Xubo Song + 1 more
AI based embeddings offer the possibilities of encoding complex biological data into low dimensional spaces, called embedding spaces, that maintain the relationships between entities. There is an open question about the compatibility of embedding spaces that are created without any coordination. It has been assumed…
Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann + 7 more
Chemical reaction optimization (RO) is an iterative process that results in large and high-dimensional datasets. Current tools only allow for limited analysis and understanding of parameter spaces, making it hard for scientists to review or follow changes throughout the process. With the recent emergence of using…
Qiang Xu, Long He
In order to explore the architectural space model of design, a visualization method based on big data map is proposed. Referring to the tile pyramid model, a multidimensional aggregation pyramid model (MAP) is proposed, which extends the 2D spatial hierarchical aggregation of tile pyramid to the multidimensional of…
Md Naimul Hoque, Niklas Elmqvist
Multidimensional datasets consist of many attributes per observation, and are routinely found in both tabular as well network applications. For example, the U.S. Census dataset of citizen demographics includes hundreds of attributes capturing individuals living in the United States, including properties such as age…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Belinda Boehm, Christopher McNeill, David Huang
Understanding the solution-phase behaviour of organic semiconducting polymers is important for systematically improving the performance of devices based on solution-processed thin films of these molecules. Conventional polymer theory predicts that polymer conformations become more compact as solvent quality decreases…
Michał Bałchanowski, Urszula Boryczka, Jiayi Ma
The aim of a recommender system is to suggest to the user certain products or services that most likely will interest them. Within the context of personalized recommender systems, a number of algorithms have been suggested to generate a ranking of items tailored to individual user preferences. However, these algorithms…
Yuanqing Lu, Timur Fazletdinov, Zhiwen Pan, Katrin Wondraczek + 1 more
The synthesis of nanoscale particles and particle aggregates from liquid or gaseous precursors is affected by a variety of trade-off relations, for example, in terms of product composition, yield, or energy efficiency. Machine-supported process evaluation and learning (ML) of these relations enables optimization…