Source: ISSN: 0169-2070 ; International Journal of Forecasting ; https://hal.science/hal-03259163 ; International Journal of Forecasting, 2021, 37 (3), pp.1049-1060.

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Conference

Advancements in traffic simulations with multiMATSim’s distributed framework

Authors : Moukir, Sara; Tsuji, Miwako; Emad, Nahid ...

Subjects: Road Traffic Simulation; Big Data Analysis; High Performance Computingrome; Italy

Source: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART ; ICAART 2024 - the 16th International Conference on Agents and Artificial Intelligence ;

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Academic Journal

Inference in the age of big data: Future perspectives on neuroscience

Authors : Bzdok, Danilo; Yeo, B, T Thomas;

Subjects: sample complexity; hypothesis testing; epistemology

Source: ISSN: 1053-8119.

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Report

Le rayonnement culturel des musées parisiens, une analyse par les big data. Le cas de Twitter.

Authors : Barthelemy, Marc; Carra, Giulia; Gallotti, Riccardo ...

Subjects: [SHS.GEO]Humanities and Social Sciences/Geography; [SHS.STAT]Humanities and Social Sciences/Methods and statistics

Source: https://hal.science/hal-03834693 ; Mairie de Paris; CEA - Commissariat à l'énergie atomique et aux énergies alternatives; CNRS; EHESS. 2017.

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Conference

A high performance algorithmic variant of MATSim road traffic simulator

Authors : Moukir, Sara; Emad, Nahid; Baudelocq, Stéphane ...

Subjects: road traffic simulation; big data analysis; high performance computingSt petersburg; United States

Source: Proceedings : 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ; IPDPSW 2023 - IEEE International Parallel and Distributed Processing Symposium Workshops ;

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Book

Working with omics data, an interdisciplinary challenge at the crossroads of biology and computer science

Authors : Poinsignon, Thibault; Poulain, Pierre; Gallopin, Mélina ...

Subjects: genomics; transcriptomics; proteomics

Source: Machine Learning for Brain Disorders ; https://hal.science/hal-03738102 ; Machine Learning for Brain Disorders, In press

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Conference

A high performance approach with MATSim for traffic road simulation

Authors : Moukir, Sara; Emad, Nahid; Baudelocq, Stéphane ...

Subjects: road traffic simulation; big data analysis; high performance computingKanazawa; Japan

Source: (IIAI-AAI), 2022 - Proceedings of the 12th International Congress on Advanced Applied Informatics ; 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) ;

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Conference

A Secure Federated Learning framework using Homomorphic Encryption and Verifiable Computing

Authors : Madi, Abbass; Stan, Oana; Mayoue, Aurélien ...

Subjects: Artificial intellience; machine learning; federated learningHamiltonHamilton, Canada

Source: RDAAPS 2021 - Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge ;

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Conference

Sparse non-negative matrix factorization for retrieving genomes across metagenomes

Authors : Prost, Vincent; Gazut, Stéphane; Brüls, Thomas ...

Subjects: genomics; statistical analysis; DNA. metagenomicsLima; Peru

Source: Communications in Computer and Information Science (CCIS) ; SimBig 2019 - 6th International Conference on Information Management and Big

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نتائج البحث

فلترة النتائج

Data-driven discovery approach to tackle turbulence in fusion plasmas ; Détermination des propriétés de la Turbulence dans les plasmas de fusion en développant une approche « Big Data »

Big data from dynamic pricing: A smart approach to tourism demand forecasting

Advancements in traffic simulations with multiMATSim’s distributed framework

Inference in the age of big data: Future perspectives on neuroscience

Le rayonnement culturel des musées parisiens, une analyse par les big data. Le cas de Twitter.

A high performance algorithmic variant of MATSim road traffic simulator

Working with omics data, an interdisciplinary challenge at the crossroads of biology and computer science

A high performance approach with MATSim for traffic road simulation

A Secure Federated Learning framework using Homomorphic Encryption and Verifiable Computing

Sparse non-negative matrix factorization for retrieving genomes across metagenomes

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