- Best practices for single|cell analysis across modalities🔍
- Bitstream|Corrupted Video Recovery🔍
- We Need Better Benchmarks for Machine Learning in Drug Discovery🔍
- An Image|Based Benchmark Dataset and a Novel Object Detector ...🔍
- Benchmark dataset for mid‐price forecasting of limit order book data ...🔍
- High|content cellular screen image analysis benchmark study🔍
- A Novel Pre|Processing Approach and Benchmarking Analysis for ...🔍
- Benchmarking tRNA|Seq quantification approaches by realistic ...🔍
Identifying high resolution benchmark data needs and Novel ...
Best practices for single-cell analysis across modalities - Nature
It performed favourably for identifying genes with high variance ... Having obtained confident annotations on high-quality data, the ...
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset ...
... high-quality data. Recovery of real corrupted video lacks research because the unrealistic corruption assumption limits the performance of video inpainting ...
We need relevant, high-quality datasets that we can use as benchmarks. Beyond this, we must carefully evaluate the benchmark data to identify ...
(PDF) WH-MAVS: A Novel Dataset and Deep Learning Benchmark ...
Accordingly, in this paper, we provide a large-range high-resolution scene classification dataset with multiple time phases, called WH-MAVS. It facilitates the ...
An Image-Based Benchmark Dataset and a Novel Object Detector ...
To ensure that the distributions of training data and testing data ... However, detecting objects in higher resolution images has more computational overhead.
Benchmark dataset for mid‐price forecasting of limit order book data ...
Performance of baseline approaches are also provided to facilitate experimental comparisons. We expect that such a large-scale dataset can serve ...
High-content cellular screen image analysis benchmark study
... data volume, high phenotypic complexity and the presence of a ... identifies novel visual phenotypes not detected by previous studies.
A Novel Pre-Processing Approach and Benchmarking Analysis for ...
0 provided a fundamental dataset for assessing object identification algorithms in aerial photos, answering the demand for high-resolution, ...
STAVER: a standardized benchmark dataset-based algorithm for ...
... data, without compromising the quality or depth of protein identification. ... High-quality benchmark datasets are crucial for STAVER's ...
Benchmarking tRNA-Seq quantification approaches by realistic ...
... data simulation identifies two novel approaches with higher accuracy ... For this approach, bowtie2 simply needs to be run with the -a flag to ...
NeurIPS 2023 Datasets-Benchmarks-2023
Second, we release a real-world database, which contains multi-view capture of 100 object instances, and high-resolution (6k× × 8k) testing images. Third, we ...
WH-MAVS: A Novel Dataset and Deep Learning Benchmark for ...
kinds of auxiliary data are also beneficial and additionally need to be ... four-band high-resolution data [such as SAT4/6 [48], in R, G,. B, and near ...
Development of a novel benchmark method to identify and ...
In order to reliably compare outcomes of community care, such a benchmark needs to rely on high quality data which generate valid indicators for ...
The Dex-Benchmark resource – datasets and code to evaluate ...
To make the best choice about which tools to use, objective benchmarks can be developed to compare the quality of different algorithms to extract biological ...
Entity Resolution | Papers With Code
... finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source ...
A Novel Data Set for Benchmarking Analogy Detection and Extraction
Figure 1: AnaDE sub-tasks: (i) Analogy Document De- tection to identify documents containing analogies ( ) vs. not ( ), (ii) Analogy Segment ...
Aci-bench: a Novel Ambient Clinical Intelligence Dataset for ... - Nature
It is also a natural prime potential beneficiary to advances in generative models. However with such advances, benchmarking is more critical ...
If the tool is used to identify community goals for professional development, family child care providers need to be included in planning such activities. NAFCC ...
satellite-image-deep-learning/techniques - GitHub
... identifying whales in high-resolution satellite imagery, by Microsoft. AL4EO -> a QGIS plug-in to run Active Learning techniques on Earth observation data ...
11 Benchmarking AI - Machine Learning Systems
Moreover, these benchmarks highlight data quality, diversity, and representation challenges, pushing the community to address biases and gaps in AI training ...