Skip to main content

Mendeley Data Showcase

Filter Results
24801839 resultsSearch results powered by
  • Main Results and Proof of Propositions of Blockchain-driven win-win strategy
    Appendix: Main Results and Proof of Propositions
    • Dataset
    • Document
  • Alibhai et al Amur tiger data
    Data from Amur tiger footprints
    • Software/Code
    • Dataset
  • Factores de riesgo psicosocial en los trabajadores del sector industrial de Ensenada Baja California.
    Tesis de grado de doctor sobre la evaluación de los factores de riesgo psicosocial y la validación de la Guía de referencia III de la Normal Oficial Mexicana 035 de la STPS.
    • Dataset
    • Document
  • THE CONTRIBUTION OF RAPID AUTOMATIZED NAMING SKILLS AND PHONOLOGICAL AWARENESS TO ARABIC LANGUAGE READING FLUENCY: A PATH ANALYSIS
    methods and findings concerning this article
    • Dataset
    • Document
  • Uso de tecnologías de información y comunicación para promover la autogestión de ulceras por pie diabético.
    Manuscrito
    • Dataset
    • Document
  • BAFF and Graves' disease
    This a dataset summarizing data of BAFF level and polymorphisms investigation in Graves' disease patients
    • Tabular Data
    • Dataset
  • Dataset for The mental health benefits of visiting canals and rivers: An ecological momentary assessment study.
    Dataset containing the underlying data for the manuscript titled: The mental health benefits of visiting canals and rivers: An ecological momentary assessment study.
    • Tabular Data
    • Dataset
  • An integrated Decision Support System for planning production, storage and bulk port operations in a fertilizer supply chain: Data sets and results
    We provide the input data and results of six case studies inspired by the operations of OCP Group at the Jorf Lasfar chemical platform in Morocco.
    • Tabular Data
    • Dataset
  • Reproducible experiments on Learned Metric Index – proposition of learned indexing for unstructured data
    With this collection of code and configuration files (contained in "LMIF" = 'Learned Metric Index Framework'), outputs ("output-files") and datasets ("datasets") we set out to explore whether a learned approach to building a metric index is a viable alternative to the traditional way of constructing metric indexes. Specifically, we build the index as a series of interconnected machine learning models. This collection serves as the basis for the reproducibility paper accompanying our parent paper -- "Learned metric index—proposition of learned indexing for unstructured data" [1]. 1. In "datasets/" we make publicly available a collection of 3 individual dataset descriptors -- CoPhIR (1 million objects, 282 columns), Profimedia (1 million objects, 4096 columns), and MoCap (~350k objects, 4096 columns), "labels" obtained from a template index -- M-tree or M-index, "queries" used to perform an experimental search with and "ground-truths" to evaluate the approximate k-NN performance of the index. Within "test" we include dummy data to ease the integration of any custom dataset (examples in "LMIF/*.ipynb") that a reader may want to integrate into our solution. In CoPhIR [2], each of the vectors is obtained by concatenating five MPEG-7 global visual descriptors extracted from an image downloaded from Flickr. The Profimedia image dataset [3], contains Caffe visual descriptors extracted from Photo-stock images by a convolutional neural network. MoCap (motion capture data) [4] descriptors contain sequences of 3D skeleton poses extracted from 3+ hrs of recordings capturing actors performing more than 70 different motion scenarios. The dataset's size is 43 GB upon decompression. [1] Antol, Matej, et al. "Learned metric index—proposition of learned indexing for unstructured data." Information Systems 100 (2021): 101774. [2] Batko, Michal, et al. "Building a web-scale image similarity search system." Multimedia Tools and Applications 47.3 (2010): 599-629. [3] Budikova, Petra et al. "Evaluation platform for content-based image retrieval systems." International Conference on Theory and Practice of Digital Libraries. Springer, Berlin, Heidelberg, 2011. [4] Müller, Meinard, et al. "Documentation mocap database hdm05." (2007). 2. "LMIF" contains a user-friendly environment to reproduce the experiments in [1]. LMIF consists of three components: - an implementation of the Learned Metric Index (distributed under the MIT license), - a collection of scripts and configuration setups necessary for re-running the experiments in [1] and - instructions for creating the reproducibility environment (Docker). For a thorough description of "LMIF", please refer to our reproducibility paper -- "Reproducible experiments on Learned Metric Index – proposition of learned indexing for unstructured data". 3. "output-files" contain the reproduced outputs for each experiment, with generated figures and a concise ".html" report (as presented in [1])
    • Other
    • Software/Code
    • Image
    • Tabular Data
    • Dataset
    • Text
    • File Set
  • SHMT2-mediated mitochondrial serine metabolism drives 5-FU resistance by fueling nucleotide biosynthesis - Pranzini et al.
    Uncut western blots for publication "SHMT2-mediated mitochondrial serine metabolism drives 5-FU resistance by fueling nucleotide biosynthesis - Pranzini et al."
    • Dataset
    • Document
1