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Disambiguation of "Renoust, Benjamin"

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Improving topic modeling through homophily for legal documents.

, , , , , , , and . Appl. Netw. Sci., 5 (1): 77 (2020)

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Benjamin Renoust

Benjamin Bender

Cerebrospinal fluid and interstitial fluid volume measurement in the human brain at 3T with EPI. Uni Tübingen, (2009)

Benjamin Köckemann

Abundance, niche breadth and stress in the centre and at the border of the distribution range: a macroecological study on abundant and rare tree specie. Uni Göttingen, (2008)

Benjamin Braatz

Formal modelling and application of graph transformations in the resource description framework. TU Berlin, (2009)

Benjamin Dahlke

 

Other publications of authors with the same name

Multilayer Network Model of Movie Script., , , and . COMPLEX NETWORKS (1), volume 812 of Studies in Computational Intelligence, page 782-796. Springer, (2018)3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis., , , , , , , , , and 2 other author(s). CaPTion@MICCAI, volume 13581 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)Constructing a Public Meeting Corpus., , , , , , , and . LREC, page 1934-1940. European Language Resources Association, (2020)Understanding Art through Multi-Modal Retrieval in Paintings., , and . CoRR, (2019)Improving topic modeling through homophily for legal documents., , , , , , , and . Appl. Netw. Sci., 5 (1): 77 (2020)Evaluating Face Tracking for Political Analysis in Japanese News Over a Long Period of Time., , , , , and . WI (Companion), page 51-58. ACM, (2019)Built Year Prediction from Buddha Face with Heterogeneous Labels., , , , , and . SUMAC @ ACM Multimedia, page 5-12. ACM, (2021)Comparison of Graph Distance Measures for Movie Similarity Using a Multilayer Network Model., , , and . Entropy, 26 (2): 149 (February 2024)NII-HITACHI-UIT at TRECVID 2017., , , , , , , , , and 5 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2017)NII-HITACHI-UIT at TRECVID 2016., , , , , , , , , and 4 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2016)