Results 211 to 220 of about 253,713 (258)

Selector: A General Python Library for Diverse Subset Selection. [PDF]

J Chem Inf Model
Meng F, Martínez González M, Chuiko V, Tehrani A, Al Nabulsi AR, Broscius A, Khaleel H, López-Pérez K, Miranda-Quintana RA, Ayers PW, Heidar-Zadeh F.   +10 more
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Representations in vision and language converge in a shared, multidimensional space of perceived similarities. [PDF]

J Vis
Simkova KM, Doerig A, Hickey C, Charest I.   +3 more
europepmc   +1 more source

Automated phenotyping of ophthalmologic diseases from routine medical records using small language models and the human phenotype ontology (HPO). [PDF]

Sci Rep
Thai BD, Arens S, Reinhard T, Böhringer D.   +3 more
europepmc   +1 more source

Histology-informed spatial domain identification through multi-view graph convolutional networks. [PDF]

PLoS Comput Biol
Zhang H, Chang J, Li Z, Sun Y, Hu P, Wang H, Yang H, Ren Y, Zhang X, Chen Z, Wong KW, Shao H.   +11 more
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A clinically informed automated evaluation pipeline for medical image segmentation based on Medical Similarity Index. [PDF]

Phys Imaging Radiat Oncol
Fazekas S, Budai BK, Bérczi V, Maurovich Horvat P, Vizi Z.   +4 more
europepmc   +1 more source

Automated emotion recognition via video-based semantic embeddings. [PDF]

Front Digit Health
Diemerling H, Kulla P, Kruse J, von Oertzen T.   +3 more
europepmc   +1 more source

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On similarity codes

IEEE Transactions on Information Theory, 2000
Summary: We introduce a biologically motivated measure of sequence similarity for quaternary \(N\)-sequences, extending Hamming similarity. This measure is the sum over the length of the sequences of ``alphabetic'' similarities at all positions. Alphabetic similarities are defined, symmetrically, on the Cartesian square of the alphabet.
Arkadii G. D'yachkov, David C. Torney
openaire   +2 more sources

Disguising Code to Help Students Understand Code Similarity

Koli Calling '20: Proceedings of the 20th Koli Calling International Conference on Computing Education Research, 2020
To act with academic integrity in programming, students need to understand the concept of code similarity and the aspects that contribute to it, because undue similarity is often used as a first step in detecting plagiarism or collusion. However, if students are told at all about code similarity, it is typically in very general terms, which might not ...
Oscar Karnalim, Simon
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Detection of semantically similar code

Frontiers of Computer Science, 2014
The traditional similar code detection approaches are limited in detecting semantically similar codes, impeding their applications in practice. In this paper, we have improved the traditional metrics-based approach as well as the graph-based approach and presented a metrics-based and graph-based combined approach. First, source codes are represented as
Tiantian Wang 0001, Kechao Wang, Xiaohong Su, Peijun Ma   +3 more
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