Structure and influence in a global capital–ownership network

Autor: Sammy Khalife, Jesse Read, Michalis Vazirgiannis

Publikováno v: Applied Network Science, Vol 6, Iss 1, Pp 1-21 (2021)

Abstract Relationships between legal entities can be represented as a large weighted directed graph. In this work, we model the global capital ownership network across a hundred of millions of such entities with the goal of establishing a methodology

Externí odkaz: https://doaj.org/article/da096a48d72d4a6e9ce0ddd22326a39e

Neural Networks with Linear Threshold Activations: Structure and Algorithms

Autor: Sammy Khalife, Amitabh Basu

Publikováno v: Integer Programming and Combinatorial Optimization ISBN: 9783031069000

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e52f37a954dcb23510bf63d56c0c82ab
https://doi.org/10.1007/978-3-031-06901-7_26

Sequence Graphs: Characterization and Counting of Admissible Elements

Autor: Sammy Khalife, Dr Riadh Chaker

Publikováno v: AIRO Springer Series ISBN: 9783030630713

We present a family of graphs implicitly involved in sequential models, which are obtained by adding edges between elements of a discrete sequence appearing simultaneously in a window of size w, and study their combinatorial properties. First, we stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::918f6184697b5639ceb6722d6b889749
https://doi.org/10.1007/978-3-030-63072-0_17

Scalable graph-based method for individual named entity identification

Autor: Sammy Khalife, Michalis Vazirgiannis

Publikováno v: Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), Nov 2019, Hong Kong, France. pp.17-25, ⟨10.18653/v1/D19-5303⟩
TextGraphs@EMNLP
Scopus-Elsevier

In this paper, we consider the named entity linking (NEL) problem. We assume a set of queries, named entities, that have to be identified within a knowledge base. This knowledge base is represented by a text database paired with a semantic graph, end

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bcb9bca0b34cde39ba3709980436528
https://hal.archives-ouvertes.fr/hal-02368758

Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms

Autor: Jesse Read, Sammy Khalife, Olivier Pallanca

Publikováno v: BIBM

Detection and classification of critical neural events during sleep is a central problem in EEG signal processing. Sleep Spindles constitute the most known pattern and their density in the EEG signal are related to many cerebral functions as memory c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1aa969adbfc6b72e9b5e9b5f0c1123b
https://doi.org/10.1109/bibm.2018.8621305