The Data Intelligence Institute of Paris (diiP) is a Université Paris Cité IdEx interdisciplinary institute, with the mission to address major contemporary scientific and societal questions. The diiP institute is governed by an Executive Committee that comprises the following scientists:

J Frej, N Shah, M Knezevic, T Nazaretsky, T Käser. Proceedings of the 14th Learning Analytics and Knowledge Conference, 426-437, 2024. 15: 2024: Ripple: Concept-based interpretation for raw time series models in education. M Asadi, V Swamy, J Frej, J Vignoud, M Marras, T Käser.

5 天之前 · Figure 1: In practical applications, image degradation is often unknown, intricate, and challenging to model, such as when removing JPEG artifacts. In comparison to the recent state-of-the-art DreamClean [19], DIffusion Image Prior (DIIP) consistently produces results that more effectively preserve the original identity of the image. 1 Introduction

The Data Intelligence Institute of Paris (diiP) is an interdisciplinary initiative of Université Paris Cité. It is a laboratory that fosters and supports the emergence of interdisciplinary practices around data science and data intelligence. It gathers researchers from formal sciences, physical sciences, life sciences and social sciences.

A Novel Method for Recognition, Localization, and Alarming to Prevent Swimmers from Drowning. In 2019 IEEE Cloud Summit (pp. 65-71) V Mandalapa Bhoopathy, M Ben Haj Frej, SR Ebenezer...

The use of the R2 coefficient of determination to determine the impact of selected parameters on the number of fatalities in road accidents in Poland compared to selected …

The Defence Industry Internship Program (DIIP) provides Engineering and Technology university students with direct connections to the Defence Industry by facilitating a 12-week (450 hour) paid internship in small to medium defence industry businesses across Australia.

The Data Intelligence Institute of Paris (diiP) is a digital laboratory that fosters and supports the emergence of interdisciplinary practices around data science and data intelligence, integrating and capitalizing on the world-leading expertise in the domains practiced at the partner institutions, including formal sciences (mathematics ...

DIffusion Image Prior (DIIP). DIIP has immediate applicability in image restoration (IR), where the aim is to reconstruct a clean image from its degraded version. While DIP can handle only im-age corruption processes that inject high-frequency artifacts in an image without using the degradation operator, DIIP can handle a broader range of ...