Zobrazeno 1 - 10 of 56 pro vyhledávání: '"Rushed Kanawati"'
1
Akademický článek
Feature-rich networks: going beyond complex network topologies
Autor: Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala
Publikováno v: Applied Network Science, Vol 4, Iss 1, Pp 1-13 (2019)
Abstract The growing availability of multirelational data gives rise to an opportunity for novel characterization of complex real-world relations, supporting the proliferation of diverse network models such as Attributed Graphs, Heterogeneous Network
Externí odkaz: https://doaj.org/article/a11a6b14b25f4a9fadbf66d6dd46b7e0
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4
Tag Recommendation by Link Prediction Based on Supervised Machine Learning
Autor: Manisha Pujari, Rushed Kanawati
Publikováno v: Proceedings of the International AAAI Conference on Web and Social Media. 6:547-550
In this work, we explore applying a link prediction approach to tag recommendation in broad folksonomies. The original idea of the approach is to mine the dynamic of the tagging activity in order to compute the most suitable tag for a given user and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a58cfb83a427e1dfb26c2ee5400a7bfa
https://doi.org/10.1609/icwsm.v6i1.14315
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7
Elektronická kniha
Al, Healthcare and Law
Autor: Guilhem Julia, Anne Fauchon, Rushed Kanawati
In a fully digitized world and hyper-connected society, artificial intelligence (AI) is developing more and more each day. In the aftermath of the Covid-19 pandemic, it seems appropriate to examine the real or imagined progress of AI in terms of huma
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8
Gaia-AgStream: An Explainable AI Platform for Mining Complex Data Streams in Agriculture
Autor: Jan Schoenke, Rushed Kanawati, Roberto Interdonato, Guillaume Vial, Ann-Christin Meisener, Francois Thierart, Nils Aschenbruck, Martin Atzmueller
Publikováno v: Smart and Sustainable Agriculture ISBN: 9783030882587
We present a position paper about our concept for an artificial intelligence (AI) and data streaming platform for the agricultural sector. The goal of our project is to support agroecology in terms of carbon farming and biodiversity protection by pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a1709182aeb2afaaf44f380cd8c8c9
https://hal.archives-ouvertes.fr/hal-03636208
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9
Topological multi-view clustering for collaborative filtering
Autor: Nistor Grozavu, Issam Falih, Younès Bennani, Rushed Kanawati
Publikováno v: INNS Conference on Big Data
Collaborative filtering is a well-known technique for recommender systems. Collaborative filtering models use the available preferences of a group of users to make recommendations or predictions of the unknown preferences for other users. Collaborati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c859e47ca9a0cac72d2dc59a94ea1dac
https://doi.org/10.1016/j.procs.2018.10.524
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10
Collaborative Multi-View Attributed Networks Mining
Autor: Nistor Grozavu, Basarab Matei, Younès Bennani, Rushed Kanawati, Issam Falih
Publikováno v: IJCNN
Graph clustering techniques are very useful for detecting densely connected groups in large graphs. Many existing graph clustering methods mainly focus on the topological structure, but ignore the vertex properties. Existing graph clustering methods
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4f12c849d605fee5290e86d3ca39507
https://doi.org/10.1109/ijcnn.2018.8489183
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