Filter Results
94939 results
# Installation conda create -n deep_texture python=3.6 source activate deep_texture conda install numpy pillow conda install keras-gpu conda install keras # if GPUs are not available pip install git+https://github.com/keras-team/keras-applications.git@d506dc82d0 # downgrade keras-application ## usage import deep_texture (prep, dnn) = deep_texture.setup_texture(arch = 'nasnet', layer = 'normal_concat_11', cbp_dir = '/tmp') dtr = deep_texture.calc_features_file("./test.png", prep, dnn)
Data Types:
  • Other
  • Software/Code
Integrating data from multiple sources with the aim to identify records that correspond to the same entity is required in many real-world applications including healthcare, national security, and businesses. However, privacy and confidentiality concerns impede the sharing of personal identifying values to conduct linkage across different organizations. Privacy-preserving record linkage (PPRL) techniques have been developed to tackle this problem by performing clustering based on the similarity between encoded record values, such that each cluster contains (similar) records corresponding to one single entity. When employing PPRL on databases from multiple parties, one major challenge is the prohibitively large number of similarity comparisons required for clustering, especially when the number and size of databases are large. While there have been several private blocking methods proposed to reduce the number of comparisons, they fall short in providing an efficient and effective solution for linking multiple large databases. Further, all of these methods are largely dependent on data. In this paper, we propose a novel private blocking method for efficiently linking multiple databases by exploiting the data characteristics in the form of probabilistic signatures and introduce a local blocking evaluation step for validating blocking methods without knowing the ground-truth. Experimental results show the efficacy of our method in comparison to several state-of-the-art methods.
Data Types:
  • Other
  • Software/Code
ATC-Anno is an annotation tool for the transcription and semantic annotation of air traffic control utterances. It was developed at the Spoken Language Systems (LSV) group at Saarland University. The latest version of the tool can always be found on the LSV GitHub account. If you use the tool in your research, please cite the associated paper: Marc Schulder, Johannah O'Mahony, Yury Bakanouski, Dietrich Klakow (2020). ATC-Anno: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation. In Proceedings of the International Conference on Language Resources and Evaluation (LREC), Marseilles, France.
Data Types:
  • Other
  • Software/Code
MATLAB codes used to model arsenic(III) remediation using a composite TiO2-Fe2O3 sorbent in batch and continuous-flow systems, using a modified form of the pseudo-second order (PSO) adsorption kinetic model. This data supports the manuscript provisionally titled 'A kinetic adsorption model to inform the design of arsenic(III) treatment plants using photocatalyst-sorbent materials'
Data Types:
  • Software/Code
PROPACK v0.3.1 Diff since v0.3.0 Closed issues: Remove dependency on BinaryProvider (#24) Merged pull requests: Interface PROPACK for complex matrices (#22) (@amontoison) Change Cirrus status link (#23) (@amontoison) Release 0.3.1 (#25) (@amontoison)
Data Types:
  • Software/Code
Tools for interacting with the publicly available California Delta Fish Salvage Database, including continuous deployment of data access, analysis, and presentation.
Data Types:
  • Software/Code
PyPI: https://pypi.org/project/mantichora/0.10.0/ Changes from the previous release: (diff) added threading mode, which can be selected by new option mode added brief sleeps in "while" loops, which improves performance in some circumstances removed code for Python 2.7
Data Types:
  • Software/Code
add automatic nrows and expose for manual override (#918 -> #924) expose and warn about small chunksize in tqdm.contrib.concurrent.process_map (#912) fix py2 file stream comparison (#727 -> #730) deprecate utils._environ_cols_wrapper add and update tests add documentation
Data Types:
  • Software/Code
Esta tabela tem como objetivo apresentar, de forma simples, o dimensionamento do consumo de oxigênio medicinal para o atendimento assistencial à saúde de leitos de Unidades de Terapia Intensiva – Adulto em consonância com as diretrizes técnicas previstas na norma ABNT NBR 12188 e as disposições legais presentes na RDC n º 50.
Data Types:
  • Software/Code
No description provided.
Data Types:
  • Software/Code