Modurec: Recommender Systems with Feature and Time Modulation

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Implanted medical devices (IMDs) have been widely developed to support the monitoring and recording of biological data inside the body or brain. Wirelessly powered IMDs, a subset of implantable electronics, have been proposed to eliminate the limitations r ...

The use of meteorological radars to study snowfall microphysical properties and processes is well established, in particular via a few distinct techniques: the use of radar polarimetry, of multi-frequency radar measurements, and of the radar Doppler spectr ...

This paper presents a comparative study, analyzing the potentials of pulse amplitude modulation (PAM) for implementing next generation high-speed copper wireline links. This comparative study analyzes the sensitivities of PAM2, PAM4 and PAM8 to inter-symbo ...

Intracranial hemorrhage (ICH) is a common finding in traumatic brain injury (TBI) and computed tomography (CT) is considered the gold standard for diagnosis. Automated detection of ICH provides clinical value in diagnostics and in the ability to feed robus ...

Forecasting is a capability inherent in humans when navigating. Humans routinely plan their paths, considering the potential future movements of those around them. Similarly, to achieve comparable sophistication and safety, autonomous systems must embrace ...

We develop approximate inference and learning methods for facilitating the use of probabilistic modeling techniques motivated by applications in two different areas. First, we consider the ill-posed inverse problem of recovering an image from an underdeter ...

In this paper, we propose a novel semi-supervised active salient object detection (SOD) method that actively acquires a small subset of the most discriminative and representative samples for labeling. Two main contributions have been made to prevent the me ...

Gyrotrons belong to the family of high-power coherent radiation sources known as Electron Cyclotron Masers (ECMs) and are based on the physical mechanism of the ECM-instability, converting electron rotational kinetic energy into coherent electromagnetic ra ...

In this paper, we propose and compare personalized models for Productive Engagement (PE) recognition. PE is defined as the level of engagement that maximizes learning. Previously, in the context of robot-mediated collaborative learning, a framework of prod ...

This paper presents the first low noise complementary metal oxide semiconductor (CMOS) terahertz (THz) imager based on source modulation and in-pixel high-Q filtering. The 31 × 31 focal plane array has been fully integrated in a 0 . 13 μ m standard CMOS pr ...

We present a search for galaxy-scale strong gravitational lenses in the initial 2500 square degrees of the Canada-France Imaging Survey (CFIS). We designed a convolutional neural network (CNN) committee that we applied to a selection of 2 344 002 r-band im ...

This paper presents a bidirectional modular DC/DC converter. It consists of two Modular Multilevel Converters (MMC) linked by a transformer to achieve galvanic isolation. This topology serves as “DC transformer” interfacing low and medium voltage DC grids. ...

Recommender systems (RSs), as used by Netflix, YouTube, or Amazon, are one of the most compelling success stories of AI. Enduring research activity in this area has led to a continuous improvement of recommendation techniques over the years, and today's RS ...

The authors demonstrate programmable integrated microwave photonic filters with low noise figure and ultrahigh dynamic range, using combination of modulation transformer and double injection ring resonator in a single photonic chip. Microwave photonics has ...

A novel method using optical fiber parametric amplification and phase modulation is proposed in order to generate Nyquist pulses. Using parabolic pulses as a pump, we show theoretically that it is possible to generate Nyquist pulses. Furthermore, we show t ...

We advocate a compressed sensing strategy that consists of multiplying the signal of interest by a wide bandwidth modulation before projection onto randomly selected vectors of an orthonormal basis. Firstly, in a digital setting with random modulation, con ...

Background A variety of imaging methods are available to obtain kinematic data at an interface, with a widely varying range of spatial and temporal resolution. These methods require a trade-off between imaging rate and resolution. Objective A deep learning ...

The aim of the present thesis is to investigate several aspects of: the proteins mechanics, interprotein interactions and to study also new techniques, theoretical and technical, to obtain and analyze the force spectroscopy experiments. The first section i ...

The present invention exploits the combination of the amplification, provided by the integration of a FET (or any other three terminal active device), with the signal modulation, provided by the MEM resonator, to build a MEM resonator with built-in transis ...

We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-term amplitude modulations of speech/audio signals using autoregressive models. ...

Modurec: Recommender Systems with Feature and Time Modulation

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Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

ISI Sensitivity of PAM Signaling for Very High-Speed Short-Reach Copper Links

Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

Applications of Approximate Learning and Inference for Probabilistic Models

Semi-supervised Active Salient Object Detection

Gyrotron physics from linear to chaotic regimes: experiment and numerical modeling

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

A Low-Noise CMOS THz Imager Based on Source Modulation and an In-Pixel High-Q Passive Switched-Capacitor N-Path Filter

Strong lensing in UNIONS: Toward a pipeline from discovery to modeling

Modular DC/DC Converter: Comparison of Modulation Methods

Recommender systems: Trends and frontiers

Ultrahigh dynamic range and low noise figure programmable integrated microwave photonic filter

Near-Nyquist optical pulse generation with fiber optical parametric amplification

Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques

High Resolution Interferometric Imaging of Liquid-Solid Interfaces with HOTNNET

Statistical Study of the Unfolding of Multimodular Proteins and their Energy Landscape by Atomic Force Microscopy

Active multi gate micro-electro-mechanical device with built-in transistor

Autoregressive Models of Amplitude Modulations in Audio Compression