Výsledky vyhledávání - "A. Azéroual"

Report

PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation

Autor: Daniel, Nati, Nathan, May, Azeroual, Eden, Fisher, Yael, Savir, Yonatan

Incorporating artificial intelligence (AI) into digital pathology offers promising prospects for automating and enhancing tasks such as image analysis and diagnostic processes. However, the diversity of tissue samples and the necessity for meticulous

Externí odkaz: http://arxiv.org/abs/2411.16515

Zobrazit plný text záznamu

Report

Research information in the light of artificial intelligence: quality and data ecologies

Autor: Azeroual, Otmane, Koltay, Tibor

This paper presents multi- and interdisciplinary approaches for finding the appropriate AI technologies for research information. Professional research information management (RIM) is becoming increasingly important as an expressly data-driven tool f

Externí odkaz: http://arxiv.org/abs/2405.12997

Zobrazit plný text záznamu

Report

The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study

Autor: Evron, Itay, Onn, Ophir, Orzech, Tamar Weiss, Azeroual, Hai, Soudry, Daniel

Error-correcting codes (ECC) are used to reduce multiclass classification tasks to multiple binary classification subproblems. In ECC, classes are represented by the rows of a binary matrix, corresponding to codewords in a codebook. Codebooks are com

Externí odkaz: http://arxiv.org/abs/2302.05334

Zobrazit plný text záznamu

Report

NoSQL security: can my data-driven decision-making be influenced from outside?

Autor: Nikiforova, Anastasija, Daskevics, Artjoms, Azeroual, Otmane

Nowadays, there are billions interconnected devices forming Cyber-Physical Systems, Internet of Things (IoT) and Industrial Internet of Things (IIoT) ecosystems. With an increasing number of devices and systems in use, amount and the value of data, t

Externí odkaz: http://arxiv.org/abs/2206.11787

Zobrazit plný text záznamu

Report

GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes

Autor: Fabre, Renaud, Azeroual, Otmane, Bellot, Patrice, Schöpfel, Joachim, Egret, Daniel

The cognitive manifold of published content is currently expanding in all areas of science. However, Scientific Knowledge Graphs (SKGs) only provide poor pictures of the adversarial directions and scientific controversies that feed the production of

Externí odkaz: http://arxiv.org/abs/2205.01331

Zobrazit plný text záznamu

Report

Implementation and user acceptance of research information systems

Autor: Azeroual, Otmane, Schöpfel, Joachim, Saake, Gunter

Publikováno v: Data Technologies and Applications, 2019, 54 (1), pp.1-15

PurposeThe purpose of this paper is to present empirical evidence on the implementation, acceptance and quality-related aspects of research information systems (RIS) in academic institutions.Design/methodology/approachThe study is based on a 2018 sur

Externí odkaz: http://arxiv.org/abs/2111.08309

Zobrazit plný text záznamu