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Current trends on ICT technologies for enterprise information systems

Related publications (40)

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GELEX: Generative AI-Hybrid System for Example-Based Learning

Jibril Albachir Frej, Aybars Yazici

Traditional example-based learning methods are often limited by static, expert-created content. Hence, they face challenges in scalability, engagement, and effectiveness, as some learners might struggle to relate to the examples or find them relevant. To a ...

Association for Computing Machinery2024

Digitised Historical Newspapers: A Changing Research Landscape (Introduction)

Maud Ehrmann, Frédéric Clavert

The application of digital technologies to newspaper archives is transforming the way historians engage with these sources. The digital evolution not only affects how scholars access historical newspapers, but also, increasingly, how they search, explore a ...

De Gruyter Oldenbourg2022

Beyond the patch: on landscape-explicit metapopulation dynamics

Jonathan Giezendanner

Climate change threatens biodiversity and species distribution all over the world at unprecedented rates. Human induced changes to landscape structure and habitat are redefining the relation between species and their environment. Understanding, characteriz ...

EPFL2020

Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images

Agata Justyna Mosinska

Detection of curvilinear structures has long been of interest due to its wide range of applications. Large amounts of imaging data could be readily used in many fields, but it is practically not possible to analyze them manually. Hence, the need for automa ...

EPFL2019

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Matthieu Wyart, Mario Geiger, Marco Baity-Jesi, Stefano Spigler, Levent Dogus Sagun

Deep learning has been immensely successful at a variety of tasks, ranging from classification to artificial intelligence. Learning corresponds to fitting training data, which is implemented by descending a very high-dimensional loss function. Understandin ...

AMER PHYSICAL SOC2019

A deep learning approach to Cadastral Computing

Frédéric Kaplan, Isabella Di Lenardo, Sofia Ares Oliveira, Bastien Solal Emile Tourenc

This article presents a fully automatic pipeline to transform the Napoleonic Cadastres into an information system. The cadastres established during the first years of the 19th century cover a large part of Europe. For many cities they give one of the first ...

2019

Linked Books: un indice citazionale per la storia di Venezia

Matteo Romanello, Giovanni Colavizza

We present the outcomes of the Linked Books project, resulting in a prototype citation index interlinking the Italian national library catalog (Opac SBN) with the information system of the State Archive of Venice and international authority records or “met ...

2019

Academic affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, and ...

EPFL2018

Mapping Affinities in Academic Organizations

Frédéric Kaplan, Boris Beaude, Dario Rodighiero

Scholarly affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, an ...

2018

While Ubiquitous Learning Environments (ULEs) have shown several benefits for learning, they pose challenges for orchestration. Teachers need to be aware of the learning process, which is difficult to achieve when it occurs across a heterogeneous set of sp ...

CEUR2017