Related publications (54)

An Integrated Approach to Learning Analytics

Denis Gillet, Juan Carlos Farah, Sandy Ingram

Despite the rise in services generating learning analytics, there is a lack of standard models and guidelines for data integration and aggregation to inform the design choices of applications supporting learning analytics. We propose a bottom-up, user-driv ...
2021

In-depth assessment of potential new data integration into the MIP

Tomas Teijeiro Campo

In the scope of the Human Brain Project (SGA2), this document summarizes from the technical perspective the main challenges faced by the current Medical Informatics Platform for the integration of three new types of data: complex neuroimaging, omics, and d ...
2020

Recommendations for the MIP Technical Development During SGA3

Tomas Teijeiro Campo

In the scope of the Human Brain Project (SGA2), this document collects the specific technical recommendations for the future development of the MIP derived from the potential integration of new types of data into the platform. This integration is discussed ...
2020

Systems Engineering Approach to Identify Requirements for Digital Twins Development

Jinzhi Lu, Xiaochen Zheng, Ali Gharaei

Digital Twins (DT) are proposed in industries to support the entire lifecycle of services with different perspectives. Lack of systematic analysis of DT concepts leads to various definitions and services which challenges the DT developers for data integrat ...
SPRINGER INTERNATIONAL PUBLISHING AG2020

Multi-Modal Recurrent Attention Networks for Facial Expression Recognition

Seungryong Kim, Jiyoung Lee

Recent deep neural networks based methods have achieved state-of-the-art performance on various facial expression recognition tasks. Despite such progress, previous researches for facial expression recognition have mainly focused on analyzing color recordi ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Wafer-scale fabrication of ultralow-loss silicon nitride nonlinear photonic circuits

Tobias Kippenberg, Rui Ning Wang, Guanhao Huang, Anat Siddharth, Mikhail Churaev, Junqiu Liu, Maxim Karpov, Wenle Weng, Arslan Sajid Raja, Jijun He, Miles Henry Anderson, Anton Lukashchuk, Nils Johan Engelsen, Alexey Tikan

Recent advances in silicon nitride integrated photonics have achieved ultralow optical losses. Transferring this technology to standard commercial foundries, and merging it with silicon photonics via heterogeneous integration, will seed novel laser and qua ...
IEEE2020

Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models

Karl Aberer, Thành Tâm Nguyên, Zoltán Miklós

Data models capture the structure and characteristic properties of data entities, e.g., in terms of a database schema or an ontology. They are the backbone of diverse applications, reaching from information integration, through peer-to-peer systems and ele ...
PERGAMON-ELSEVIER SCIENCE LTD2019

NanoElectronics roadmap for Europe: From nanodevices and innovative materials to system integration

Mihai Adrian Ionescu, Lucia Baldi Unser, Montserrat Fernandez-Bolanos Badia

The NEREID project ("NanoElectronics Roadmap for Europe: Identification and Dissemination") is dedicated to mapping the future of European Nanoelectronics. NEREID's objective is to develop a medium and long term roadmap for the European nanoelectronics ind ...
PERGAMON-ELSEVIER SCIENCE LTD2019

Macroecology in the age of Big Data - Where to go from here?

Recent years have seen an exponential increase in the amount of data available in all sciences and application domains. Macroecology is part of this "Big Data" trend, with a strong rise in the volume of data that we are using for our research. Here, we sum ...
2019

Mapping affinities: visualizing academic practice through collaboration

Dario Rodighiero

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

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