About: Albrecht Zimmermann

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
sameAs	Zimmermann, Albrecht (1976-.... ; enseignant-chercheur en informatique) Zimmermann, Albrecht (1976-.... ; enseignant-chercheur en informatique) Zimmermann, Albrecht (1976-.... ; enseignant-chercheur en informatique)
Life Event	http://www.idref.fr/250787806/birth
preferred label	Zimmermann, Albrecht (1976-.... ; enseignant-chercheur en informatique)
name	Albrecht Zimmermann
dbpedia-owl:citizenship	http://sws.geonames.org/3017382/
Language	http://lexvo.org/id/iso639-3/fra
Given name	Albrecht
familyName	Zimmermann
has biographical i...tion (Deprecated)	Maître de conférences en informatique, membre du Groupe de recherche en informatique, image, automatique et instrumentation de Caen - GREYC - à l'Université de Caen Normandie, IUT (en 2022)
gender	male
ORCID iD	0000-0002-8319-7456
org:hasMembership	http://www.idref.fr/250787806/affiliation/1 http://www.idref.fr/250787806/affiliation/2
org:memberOf	Groupe de recherche en informatique, image, automatique et instrumentation de Caen (1995-....) Université de Caen Normandie
Scopus ID	56210138200
is sameAs of	Zimmermann, Albrecht (1976-.... ; enseignant-chercheur en informatique) Zimmermann, Albrecht (1976-.... ; enseignant-chercheur en informatique)
is Author of	PrePeP – A Tool for the Identification and Characterization of Pan Assay Interference Compounds Link Prediction in Multi-layer Networks and Its Application to Drug Design Efficiently Finding Conceptual Clustering Models with Integer Linear Programming Towards a structural characterization of Pan Assay Interference Compounds Link Prediction via Community Detection in Bipartite Multi-Layer Graphs Machine Learning and Data Mining for Sports Analytics New pharmacophore fingerprints and Weight‐Matrix Learning for virtual screening. Application to Bcr‐Abl data Integer Linear Programming for Pattern Set Mining; with an Application to Tiling https://hal.archives-ouvertes.fr/hal-02935080#id Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2015), Porto, Portugal A Relaxation-based Approach for Mining Diverse Closed Patterns Towards lattice-based interactive pharmacophore exploration https://hal.archives-ouvertes.fr/hal-04711998#id The Data Problem in Data Mining Clustering conceptuel en PLNE Pharmacophores vs Circular Fingerprints with Learned Feature Transformation Before Clustering. Comparative Studies on Bcr-Abl Data What can connectivity characteristics of networks tell us about the quality of link predictions? https://hal.archives-ouvertes.fr/hal-04719085#id An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse Machine Learning and Data Mining for Sports Analytics, 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings Objectively evaluating condensed representations and interestingness measures for frequent itemset mining Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions Identification de concepts remarquables à partir de leur voisinage dans un treillis Exceptional contextual subgraph mining Link Prediction via Community Detection in Bipartite Multi-Layer Graphs Guest editorial: Special issue on sports analytics Exploring chance in NCAA basketball Clustering Conceptuel en PLNE Wages of wins: could an amateur make money from match outcome predictions? Fouille de Motifs Fermés et Diversifiés Basée sur la Relaxation ECML PKDD 2020 Workshops Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14–18, 2020, Proceedings Proceedings of the 4nd Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2017), Skopje, Macédoine Using Data Science to Improve the Identification of Plant Nutritional Status Machine Learning and Data Mining for Sports Analytics 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings PrePeP: A light-weight, extensible tool for predicting frequent hitters Mining communities and their descriptions on attributed graphs: a survey Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019) Basketball predictions in the NCAAB and NBA: Similarities and differences Method Evaluation, Parametrization, and Result Validation in Unsupervised Data Mining: A Critical Survey Improving SAR analysis via pharmacophoric feature selection and feature transformation LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks Selecting Outstanding Patterns Based on Their Neighbourhood Machine Learning and Data Mining for Sports Analytics Interactive Pattern Mining using Discriminant Sub-patterns as Dynamic Features
is primary topic of	http://www.idref.fr/250787806
is Publishing director of	http://www.sudoc.fr/26915499X/id http://www.sudoc.fr/268205663/id http://www.sudoc.fr/276570057/id
is Opponent of	http://www.sudoc.fr/267109652/id http://www.sudoc.fr/269294775/id Cadre interactif de fouille de motifs avec prise en compte des préférences de l'utilisateur http://www.sudoc.fr/270281525/id http://www.sudoc.fr/251097471/id

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