LAUSR

Potential of a cure in patients with colorectal liver metastases and concomitant extrahepatic disease: Methodological issues

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0 Published in 2017 at "Journal of Surgical Oncology"

DOI: 10.1002/jso.24729

Abstract: Dear Editor-in Chief, We read thepaper authoredby Imai et al thatwaspublished in Journal of SurgicalOncology,withgreat interest.Theauthorsaimedtodetermine the cure rate and its predictive factors in patients with colorectal liver metastases and concomitant extrahepatic disease (EHD) on… read more here.

Keywords: regression; association; cohort; sparse data ... See more keywords

Strategies for Learning Groundwater Potential Modelling Indices under Sparse Data with Supervised and Unsupervised Techniques

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0 Published in 2020 at "Water Resources Management"

DOI: 10.1007/s11269-020-02555-y

Abstract: Mapping for Groundwater Potential Indices (GPI) is investigated for study areas with sparse data by the customary ten general-purpose data layers with a scoring system of rates and weights but assigning their values give rise… read more here.

Keywords: unsupervised models; groundwater potential; sparse data; base ... See more keywords

A simulation-based method to develop strategies for nitrogen pollution control in a creek watershed with sparse data

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1 Published in 2020 at "Environmental Science and Pollution Research"

DOI: 10.1007/s11356-020-09954-z

Abstract: Well-defined targets for nitrogen (N) release into the local environment are essential for water management in creeks, but difficulties often arise from working with data that are too sparse to achieve reliable evaluations. Here, a… read more here.

Keywords: pollution; water; nitrogen pollution; sparse data ... See more keywords

Sparse Data Interpolation Using the Geodesic Distance Affinity Space

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1 Published in 2019 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2019.2914004

Abstract: In this letter, we adapt the geodesic distance-based recursive filter to the sparse data interpolation problem. The proposed technique is general and can be easily applied to any kind of sparse data. We demonstrate its… read more here.

Keywords: interpolation; data interpolation; sparse data; geodesic distance ... See more keywords

ANFIS Construction With Sparse Data via Group Rule Interpolation

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1 Published in 2021 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2019.2952267

Abstract: A major assumption for constructing an effective adaptive-network-based fuzzy inference system (ANFIS) is that sufficient training data are available. However, in many real-world applications, this assumption may not hold, thereby requiring alternative approaches. In light… read more here.

Keywords: anfis construction; construction; rule; sparse data ... See more keywords

Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices

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1 Published in 2019 at "IEEE Transactions on Information Theory"

DOI: 10.1109/tit.2018.2859327

Abstract: One of the key issues in the acquisition of sparse data by means of compressed sensing is the design of the measurement matrix. Gaussian matrices have been proven to be information-theoretically optimal in terms of… read more here.

Keywords: gaussian matrices; acquisition; ric; sparse data ... See more keywords

HSETA: A Heterogeneous and Sparse Data Learning Hybrid Framework for Estimating Time of Arrival

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2 Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3170917

Abstract: The estimated time of arrival (ETA) plays a vital role in intelligent transportation systems and has been widely used as a basic service in ride-hailing platforms. Obtaining a precise ETA is a challenging task due… read more here.

Keywords: time; sparse data; data learning; sparse ... See more keywords

Variable Selection for Sparse Data with Applications to Vaginal Microbiome and Gene Expression Data

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1 Published in 2023 at "Genes"

DOI: 10.3390/genes14020403

Abstract: Sparse data with a high portion of zeros arise in various disciplines. Modeling sparse high-dimensional data is a challenging and growing research area. In this paper, we provide statistical methods and tools for analyzing sparse… read more here.

Keywords: expression data; gene expression; sparse data;