Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Albrecht Zimmermann"'
Autor:
Etienne Lehembre, Johanna Giovannini, Damien Geslin, Alban Lepailleur, Jean-Luc Lamotte, David Auber, Abdelkader Ouali, Bruno Cremilleux, Albrecht Zimmermann, Bertrand Cuissart, Ronan Bureau
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-18 (2023)
Abstract This paper presents a novel approach called Pharmacophore Activity Delta for extracting outstanding pharmacophores from a chemogenomic dataset, with a specific focus on a kinase target known as BCR-ABL. The method involves constructing a Has
Externí odkaz:
https://doaj.org/article/d8b69a94ae2f424a8732b836ea448583
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-39 (2021)
Abstract Many aspects from real life with bi-relational structure can be modeled as bipartite networks. This modeling allows the use of some standard solutions for prediction and/or recommendation of new relations between objects in such networks. In
Externí odkaz:
https://doaj.org/article/1966d30bcaae49e6b3dad1bd870eab54
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031237928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e23eac3c0195d7885a72c733c2d7f80
https://doi.org/10.1007/978-3-031-23793-5_16
https://doi.org/10.1007/978-3-031-23793-5_16
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf381d278e4b0e3d6b9f252150f3810
https://doi.org/10.1007/978-3-031-30047-9_17
https://doi.org/10.1007/978-3-031-30047-9_17
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333736
Lecture Notes in Computer Science (LNAI)
PAKDD 2023: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2023: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Mar 2023, Osaka (Japon), Japan. pp.252-263, ⟨10.1007/978-3-031-33374-3_20⟩
Lecture Notes in Computer Science (LNAI)
PAKDD 2023: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2023: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Mar 2023, Osaka (Japon), Japan. pp.252-263, ⟨10.1007/978-3-031-33374-3_20⟩
International audience; Recent years have seen a shift from a pattern mining process that has users define constraints before-hand, and sift through the results afterwards, to an interactive one. This new framework depends on exploiting user feedback
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae3c30140d0525b6c0f270388cf33d45
https://doi.org/10.1007/978-3-031-33374-3_20
https://doi.org/10.1007/978-3-031-33374-3_20
Autor:
Hajar Rehioui, Bertrand Cuissart, Abdelkader Ouali, Alban Lepailleur, Jean‐Luc Lamotte, Ronan Bureau, Albrecht Zimmermann
Publikováno v:
Molecular informaticsReferences. 42(1)
In this work, we propose to analyze the potential of a new type of pharmacophoric descriptors coupled to a novel feature transformation technique, called Weight-Matrix Learning (WML, based on a feed-forward neural network). The application concerns v
Publikováno v:
Data Mining and Knowledge Discovery. 35:661-687
Finding communities that are not only relatively densely connected in a graph but that also show similar characteristics based on attribute information has drawn strong attention in the last years. There exists already a remarkable body of work that
Autor:
Etienne Lehembre, Ronan Bureau, Bruno Cremilleux, Bertrand Cuissart, Jean-Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, Albrecht Zimmermann
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031013324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a04373b6836d78be9f5f63c6f280ec3
https://doi.org/10.1007/978-3-031-01333-1_15
https://doi.org/10.1007/978-3-031-01333-1_15
Autor:
Albrecht Zimmermann
Publikováno v:
Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference ISBN: 9783030993320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d6b6a23ce4eb9e57c218d6bc4ae21e
https://doi.org/10.1007/978-3-030-99333-7_3
https://doi.org/10.1007/978-3-030-99333-7_3
This book constitutes the refereed proceedings of the 10th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2023, held in Turin, Italy, in September 2023.The 16 full papers included in this book were carefully rev