Data analysis and synthesis can be highly engaging because reviewers are constructing answers to their questions. They can see their contribution to knowledge materializing before their eyes. To adhere to the values associated with systematic reviewing, however, authors may need to temper their passion...
Table 1: A summary of publicly available 3D indoor scenes datasets, grouped based on acquisition source, along different axes that include high-level details such as the physical mode of capture to low-level ones such as the kinds of annotations on the scene and the number of CAD models/scen...
The fusion strategy implemented in the fusionModel package borrows and expands upon ideas from the statistical matching (D’Orazio et al. 2006), imputation (Little and Rubin 2019), and data synthesis (Drechsler 2011) literatures to create a flexible data fusion tool. It employs variable-k, cond...
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Given the recent advancements in image synthesis, Generative Adversarial Networks (GANs), and adversarial training, we assess the potential of these technologies to address a number of key challenges of cancer imaging. We categorise these challenges into (a) data scarcity and imbalance, (b) data ...
Fig. 1: Multi-task learning of multi-modality biological data by UnitedNet. a Schematics of representative multi-modality biological data: (i) simultaneously measured transcriptomics and intracellular electrophysiology (multi-sensing data), (ii) integratively profiled transcriptomics and DNA accessibility ...
Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied
The combination of time series with cross-sections can enhance the quality and quantity of data in ways that would be otherwise impossible using only one of these two dimensions (Gujarati, 2003; Baltagi, 1995). In the area of social science discipline, panel analysis has enabled researchers to...
data analysis (GDA)-based perovskite structure representation and featurization and combine them with learning models for 2D perovskite design. Both geometric properties and periodicity information of the material unit cell, are fully characterized by a series of 1D functions, i.e., density finger...
“-omics” data streams include:transcriptomics, the pattern ofRNAsynthesis from DNA;proteomics, the distribution of proteins incells;interactomics, the patterns of protein-protein and protein–nucleic acid interactions; andmetabolomics, the nature and traffic patterns of transformations of small molecules...