Preface: Advancing deep learning for remote sensing time series data analysis

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Is Your Time Well Spent Online?: Focusing on Quality Experiences Through a User-Centered Recommendation Algorithm and Simulation Model

Denis Gillet, Sandy Ingram, Rania Islambouli

Spending an uncontrolled quantity and quality of time on digital news and social media platforms can negatively influence mental health and decrease cognitive abilities. In this paper, we propose a sequential news recommendation system employing deep reinf ...

IEEE2022

MoZuMa: A Model Zoo for Multimedia Applications

Stéphane Remo Massonnet, Niels Jens Poulsen, Marco Romanelli, Karl Aberer, Rémi Philippe Lebret

Lots of machine learning models with applications in Multimedia Search are released as Open Source Software. However, integrating these models into an application is not always an easy task due to the lack of a consistent interface to run, train or distrib ...

Assoc Computing Machinery2022

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Alexandre Massoud Alahi, Sven Kreiss, Parth Ashit Kothari

Since the past few decades, human trajectory forecasting has been a field of active research owing to its numerous real-world applications: evacuation situation analysis, traffic operations, deployment of social robots in crowded environments, to name a fe ...

IEEE Institute of Electrical and Electronics Engineers2021

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions

Tanja Christina Käser Jacober, Mirko Marras

The design and delivering of platforms for online education is fostering increasingly intense research. Scaling up education online brings new emerging needs related with hardly manageable classes, overwhelming content alternatives, and academic dishonesty ...

2021

PM2.5 Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

Daniel Thalmann

This article devises a photograph-based monitoring model to estimate the real-time PM2.5 concentrations, overcoming currently popular electrochemical sensor-based PM2.5 monitoring methods' shortcomings such as low-density spatial distribution and time dela ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Relative stability toward diffeomorphisms indicates performance in deep nets

Matthieu Wyart, Mario Geiger, Leonardo Petrini, Alessandro Favero

Understanding why deep nets can classify data in large dimensions remains a challenge. It has been proposed that they do so by becoming stable to diffeomorphisms, yet existing empirical measurements support that it is often not the case. We revisit this qu ...

2021

DB4HLS: A Database of High-Level Synthesis Design Space Explorations

Giovanni Ansaloni

High-level synthesis (HLS) frameworks allow to easily specify a large number of variants of the same hardware design by only acting on optimization directives. Nonetheless, the hardware synthesis of implementations for all possible combinations of directiv ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021