
CostBased Goal Recognition Meets Deep Learning
The ability to observe the effects of actions performed by others and to...
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PrivacyNet: An Adversarial Approach For Identityobfuscated Segmentation
This paper presents a privacypreserving network oriented towards medica...
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A Transfer Learning Method for Goal Recognition Exploiting CrossDomain Spatial Features
The ability to infer the intentions of others, predict their goals, and ...
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A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data
Topic modeling based on latent Dirichlet allocation (LDA) has been a fra...
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HoME: a Household Multimodal Environment
We introduce HoME: a Household Multimodal Environment for artificial age...
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Correlational Neural Networks
Common Representation Learning (CRL), wherein different descriptions (or...
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Describing Videos by Exploiting Temporal Structure
Recent progress in using recurrent neural networks (RNNs) for image desc...
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Document Neural Autoregressive Distribution Estimation
We present an approach based on feedforward neural networks for learnin...
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Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
In this work, we introduce a dataset of video annotated with high qualit...
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WithinBrain Classification for Brain Tumor Segmentation
Purpose: In this paper, we investigate a framework for interactive brain...
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Learning Multilingual Word Representations using a BagofWords Autoencoder
Recent work on learning multilingual word representations usually relies...
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A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation
Topic modeling based on latent Dirichlet allocation (LDA) has been a fra...
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Brain Tumor Segmentation with Deep Neural Networks
In this paper, we present a fully automatic brain tumor segmentation met...
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Deep learning trends for focal brain pathology segmentation in MRI
Segmentation of focal (localized) brain pathologies such as brain tumors...
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Neural Autoregressive Distribution Estimation
We present Neural Autoregressive Distribution Estimation (NADE) models, ...
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Practical Bayesian Optimization of Machine Learning Algorithms
Machine learning algorithms frequently require careful tuning of model h...
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RNADE: The realvalued neural autoregressive densityestimator
We introduce RNADE, a new model for joint density estimation of realval...
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Automatic Channel Fault Detection and Diagnosis System for a Small Animal APDBased Digital PET Scanner
Fault detection and diagnosis is critical to many applications in order ...
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Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Diffusion magnetic resonance imaging datasets suffer from low Signalto...
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Systematic Ensemble Learning for Regression
The motivation of this work is to improve the performance of standard st...
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Local Water Diffusion Phenomenon Clustering From High Angular Resolution Diffusion Imaging (HARDI)
The understanding of neurodegenerative diseases undoubtedly passes throu...
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Moving Toward High Precision Dynamical Modelling in Hidden Markov Models
Hidden Markov Model (HMM) is often regarded as the dynamical model of ch...
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Formal Representation of SysML/KAOS Domain Model (Complete Version)
Nowadays, the usefulness of a formal language for ensuring the consisten...
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The SysML/KAOS Domain Modeling Approach
A means of building safe critical systems consists of formally modeling ...
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Forward Analysis for WSTS, Part III: KarpMiller Trees
This paper is a sequel of "Forward Analysis for WSTS, Part I: Completion...
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Operation of universal gates in a DXD superconducting solid state quantum computer
We demonstrate that complete set of gates can be realized in a DXD super...
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CREATE: Multimodal Dataset for Unsupervised Learning, Generative Modeling and Prediction of Sensory Data from a Mobile Robot in Indoor Environments
The CREATE database is composed of 14 hours of multimodal recordings fro...
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Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir
The use of electroencephalogram (EEG) as the main input signal in brain...
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Depth versus Breadth in Convolutional Polar Codes
Polar codes were introduced in 2009 by Arikan as the first efficient enc...
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Convolutional Polar Codes on Channels with Memory
Arikan's recursive code construction was designed for memoryless channel...
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On Predictive Density Estimation under αdivergence Loss
Based on X ∼ N_d(θ, σ^2_X I_d), we study the efficiency of predictive de...
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Inference for a constrained parameter in presence of an uncertain constraint
We describe a hierarchical Bayesian approach for inference about a param...
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Reconciling Multiple Genes Trees via Segmental Duplications and Losses
Reconciling gene trees with a species tree is a fundamental problem to u...
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On efficient prediction and predictive density estimation for spherically symmetric models
Let X,U,Y be spherically symmetric distributed having density η^d +k/2 ...
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The Generic SysML/KAOS Domain Metamodel
This paper is related to the generalised/generic version of the SysML/KA...
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Structured Pruning of Neural Networks with BudgetAware Regularization
Pruning methods have shown to be effective at reducing the size of deep ...
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Lightweight and Optimized Sound Source Localization and Tracking Methods for Open and Closed Microphone Array Configurations
Humanrobot interaction in natural settings requires filtering out the d...
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Proving that a Tree Language is not FirstOrder Definable
We explore from an algebraic viewpoint the properties of the tree langua...
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Tractography and machine learning: Current state and open challenges
Supervised machine learning (ML) algorithms have recently been proposed ...
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From Visual to Acoustic Question Answering
We introduce the new task of Acoustic Question Answering (AQA) to promot...
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Unsupervised Low Latency Speech Enhancement with RTGCCNMF
In this paper, we present RTGCCNMF: a realtime (RT), twochannel blin...
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On shrinkage estimation for balanced loss functions
The estimation of a multivariate mean θ is considered under natural modi...
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Pear2Pear (On Wifi): A Data Sharing Protocol Over Wifi through a Peer to Peer Network
A peertopeer system is a distributed system in which equal nodes (in t...
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The Tandem Duplication Distance is NPhard
In computational biology, tandem duplication is an important biological ...
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Towards Linearization Machine Learning Algorithms
This paper is about a machine learning approach based on the multilinear...
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Toward a Wired Ad Hoc Nanonetwork
Nanomachines promise to enable new medical applications, including drug ...
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Genomic Problems Involving Copy Number Profiles: Complexity and Algorithms
Recently, due to the genomic sequence analysis in several types of cance...
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ImaginationAugmented Deep Learning for Goal Recognition
Being able to infer the goal of people we observe, interact with, or rea...
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AriEL: volume coding for sentence generation
Mapping sequences of discrete data to a point in a continuous space make...
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Bayesian estimation and prediction for mixtures
For two vast families of mixture distributions and a given prior, we pro...
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Université de Sherbrooke
The Université de Sherbrooke is a large public Frenchlanguage university in Quebec, Canada with campuses located in Sherbrooke and Longueuil, a suburb of Montreal approximately 130 km west of Sherbrooke.