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Publications associées (38)

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web

By offering courses and resources, learning platforms on the Web have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promot ...

Association for Computing Machinery2021

Graph Signal Processing for Machine Learning: A Review and New Perspectives

Pascal Frossard, Michael Bronstein, Laura Toni, Xiaowen Dong

The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains, such as networks and graphs, are one of the key questions in modern machine learning. Graph signal processing ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Decentralized Industrial IoT Data Management Based on Blockchain and IPFS

Jinzhi Lu, Xiaochen Zheng

The wide application of Internet of Things (IoT) has fostered the development of Industry 4.0. In manufacturing domain, Industrial IoT (IIoT) are key components of the Factories of the Future (FoF). The big IIoT data are the foundation of implementing data ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

Advancing Deep Learning for Earth Sciences: From Hybrid Modeling to Interpretability

Devis Tuia

Machine learning and deep learning in particular have made a huge impact in many fields of science and engineering. In the last decade, advanced deep learning methods have been developed and applied to remote sensing and geoscientific data problems extensi ...

2020

Eco-Morphological Evaluation of a Residual Flow Reach Restoration Measure

Robin Schroff

It is a complex and challenging task to evaluate the effects of a river restoration measure on the riverscape’s habitat mosaic. This study investigated the medium term effects of a restoration measure in a residual flow reach downstream of a hydroelectric ...

2020

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing

Samuel Bosch, Mohsen Imani

In the Internet of Things (IoT), the large volume of data generated by sensors poses significant computational challenges in resource-constrained environments. Most existing machine learning algorithms are unable to train a proper model using a significant ...

IEEE2019

Model-Based Occupant Tracking Using Slab-Vibration Measurements

Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira

Sensor-based occupant tracking has the potential to enhance knowledge of the utilization of buildings. Occupancy-tracking strategies using footstep-induced floor vibrations may be beneficial for thermal-load prediction, security enhancement, and care-givin ...

2019

Cost Calculator for DMP

Antoine Louis Claude Masson

In recent years, funding agencies, governments, and international organization have issued a series of research data management and sharing policies, like the H2020 [1]. Researchers are encouraged or required to share their production in an open way, inclu ...

2019

Data Management Checklist

Managing research data throughout its lifecycle ensures its long-term value and prevents data from falling into digital obsolescence. Proper data management is a key prere- quisite for effective data sharing throughout the scientific community. This, in tu ...

DLCM2018

A Process Compensated Gain Cell Embedded-DRAM for Ultra-Low-Power Variation-Aware Design

Andreas Peter Burg, Adam Shmuel Teman, Robert Giterman, Pascal Andreas Meinerzhagen

Gain cell embedded DRAM (GC-eDRAM) is a high-density alternative to SRAM for ultra-low-power systems. However, due to its dynamic nature, GC-eDRAM requires power-hungry refresh cycles to ensure data retention. Traditional design approaches dictate configur ...

Ieee2016

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