Aalborg University

research

∙ 02/15/2022

Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes

Anomaly detection in X-ray images has been an active and lasting researc...

Simon B. Jensen, et al. ∙

research

∙ 12/11/2019

Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments

With the rapidly growing expansion in the use of UAVs, the ability to au...

Bruna G. Maciel-Pearson, et al. ∙

research

∙ 08/05/2021

On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator

In this paper we envision a federated learning (FL) scenario in service ...

Igor Donevski, et al. ∙

research

∙ 12/21/2021

AutoCTS: Automated Correlated Time Series Forecasting – Extended Version

Correlated time series (CTS) forecasting plays an essential role in many...

Xinle Wu, et al. ∙

research

∙ 03/30/2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning – Extended Version

In step with the digitalization of transportation, we are witnessing a g...

Sean Bin Yang, et al. ∙

research

∙ 08/10/2022

Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach

In this work, we optimize the 3D trajectory of an unmanned aerial vehicl...

Nithin Babu, et al. ∙

research

∙ 02/15/2019

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms

The Bayesian Optimisation Algorithm (BOA) is an Estimation of Distributi...

Mohamed El Yafrani, et al. ∙

research

∙ 02/14/2022

Graph Neural Networks for Graphs with Heterophily: A Survey

Recent years have witnessed fast developments of graph neural networks (...

Xin Zheng, et al. ∙

research

∙ 11/15/2021

Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder

The sewerage infrastructure is one of the most important and expensive i...

Joakim Bruslund Haurum, et al. ∙

research

∙ 11/20/2021

Deep Spoken Keyword Spotting: An Overview

Spoken keyword spotting (KWS) deals with the identification of keywords ...

Iván López-Espejo, et al. ∙

research

∙ 05/20/2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Entity alignment (EA) aims at finding equivalent entities in different k...

Yunjun Gao, et al. ∙

research

∙ 07/30/2018

The Importance of Context When Recommending TV Content: Dataset and Algorithms

Home entertainment systems feature in a variety of usage scenarios with ...

Miklas S. Kristoffersen, et al. ∙

research

∙ 06/11/2020

A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting

One of the beyond-5G developments that is often highlighted is the integ...

Cristian J. Vaca-Rubio, et al. ∙

research

∙ 09/15/2021

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images

This work tackles scene understanding for outdoor robotic navigation, so...

Galadrielle Humblot-Renaux, et al. ∙

research

∙ 04/28/2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting–Full Version

A variety of real-world applications rely on far future information to m...

Razvan-Gabriel Cirstea, et al. ∙

research

∙ 12/01/2017

Utilizing Domain Knowledge in End-to-End Audio Processing

End-to-end neural network based approaches to audio modelling are genera...

Tycho Max Sylvester Tax, et al. ∙

research

∙ 06/29/2017

Indoor UAV scheduling with Restful Task Assignment Algorithm

Research in UAV scheduling has obtained an emerging interest from scient...

Yohanes Khosiawan, et al. ∙

research

∙ 09/06/2017

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Improving speech system performance in noisy environments remains a chal...

Daniel Michelsanti, et al. ∙

research

∙ 06/07/2017

Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images

A method for automatically quantifying emphysema regions using High-Reso...

Isabel Pino Peña, et al. ∙

research

∙ 09/14/1998

Distributed Computation as Hierarchy

This paper presents a new distributed computational model of distributed...

Michael Manthey, et al. ∙

research

∙ 03/11/2017

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

Despite significant recent advances in the field of head pose estimation...

Grigorios Kalliatakis, et al. ∙

research

∙ 09/14/2016

Distributed Estimation of the Operating State of a Single-Bus DC MicroGrid without an External Communication Interface

We propose a decentralized Maximum Likelihood solution for estimating th...

Marko Angjelichinoski, et al. ∙

research

∙ 04/13/2016

Variational Bayesian Inference of Line Spectra

In this paper, we address the fundamental problem of line spectral estim...

Mihai-Alin Badiu, et al. ∙

research

∙ 09/26/2015

Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes

We consider the problem of jointly estimating multiple precision matrice...

Anders Ellern Bilgrau, et al. ∙

research

∙ 03/27/2015

Estimating a common covariance matrix for network meta-analysis of gene expression datasets in diffuse large B-cell lymphoma

The estimation of covariance matrices of gene expressions has many appli...

Anders Ellern Bilgrau, et al. ∙

research

∙ 03/13/2016

A comprehensive study of sparse codes on abnormality detection

Sparse representation has been applied successfully in abnormal event de...

Huamin Ren, et al. ∙

research

∙ 04/15/2012

Lower Complexity Bounds for Lifted Inference

One of the big challenges in the development of probabilistic relational...

Manfred Jaeger, et al. ∙

research

∙ 03/06/2013

A Fast Iterative Bayesian Inference Algorithm for Sparse Channel Estimation

In this paper, we present a Bayesian channel estimation algorithm for mu...

Niels Lovmand Pedersen, et al. ∙

research

∙ 04/03/2012

Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation

Existing methods for sparse channel estimation typically provide an esti...

Niels Lovmand Pedersen, et al. ∙

research

∙ 12/02/2011

Merging Belief Propagation and the Mean Field Approximation: A Free Energy Approach

We present a joint message passing approach that combines belief propaga...

Erwin Riegler, et al. ∙

research

∙ 08/22/2011

Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models

In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have b...

Niels Lovmand Pedersen, et al. ∙

research

∙ 05/17/2011

Independent screening for single-index hazard rate models with ultra-high dimensional features

In data sets with many more features than observations, independent scre...

Anders Gorst-Rasmussen, et al. ∙

research

∙ 07/04/2017

Automatic Generation of Natural Language Explanations

An important task for recommender system is to generate explanations acc...

Felipe Costa, et al. ∙

research

∙ 11/19/2016

Incorporating Pass-Phrase Dependent Background Models for Text-Dependent Speaker Verification

In this paper, we propose pass-phrase dependent background models (PBMs)...

A. K. Sarkar, et al. ∙

research

∙ 07/01/2016

Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

We propose a novel deep learning model, which supports permutation invar...

Dong Yu, et al. ∙

research

∙ 12/14/2017

Analysis of Latency and MAC-layer Performance for Class A LoRaWAN

We propose analytical models that allow us to investigate the performanc...

R. B. Sørensen, et al. ∙

research

∙ 12/27/2017

Spatial point processes intensity estimation with a diverging number of covariates

Feature selection procedures for spatial point processes parametric inte...

Achmad Choiruddin, et al. ∙

research

∙ 12/14/2017

An Enhanced Access Reservation Protocol with a Partial Preamble Transmission Mechanism in NB-IoT Systems

In this letter, we propose an enhanced Access Reservation Protocol (ARP)...

Taehoon Kim, et al. ∙

research

∙ 11/07/2017

SWOOP: Top-k Similarity Joins over Set Streams

We provide efficient support for applications that aim to continuously f...

Willi Mann, et al. ∙

research

∙ 08/31/2017

Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training

In this paper we propose to use utterance-level Permutation Invariant Tr...

Morten Kolbæk, et al. ∙

research

∙ 12/14/2017

Optimized Interface Diversity for Ultra-Reliable Low Latency Communication (URLLC)

An important ingredient of the future 5G systems will be Ultra-Reliable ...

Jimmy J. Nielsen, et al. ∙

research

∙ 08/23/2017

Evaluation Measures for Relevance and Credibility in Ranked Lists

Recent discussions on alternative facts, fake news, and post truth polit...

Christina Lioma, et al. ∙

research

∙ 06/24/2017

A Variational EM Method for Pole-Zero Modeling of Speech with Mixed Block Sparse and Gaussian Excitation

The modeling of speech can be used for speech synthesis and speech recog...

Liming Shi, et al. ∙

research

∙ 08/17/2017

Enabling Self-aware Smart Buildings by Augmented Reality

Conventional HVAC control systems are usually incognizant of the physica...

Muhammad Aftab, et al. ∙

research

∙ 11/01/2017

Analysis of the Communication Traffic for Blockchain Synchronization of IoT Devices

Blockchain is a technology uniquely suited to support massive number of ...

Pietro Danzi, et al. ∙

research

∙ 05/03/2017

Distributed Proportional-Fairness Control in MicroGrids via Blockchain Smart Contracts

Residential microgrids (MGs) may host a large number of Distributed Ener...

Pietro Danzi, et al. ∙

research

∙ 01/10/2018

Instance Scale, Numerical Properties and Design of Metaheuristics: A Study for the Facility Location Problem

Metaheuristics are known to be strong in solving large-scale instances o...

David Chalupa, et al. ∙

research

∙ 01/15/2018

On the Distribution of Random Geometric Graphs

Random geometric graphs (RGGs) are commonly used to model networked syst...

Mihai-Alin Badiu, et al. ∙

research

∙ 01/22/2018

Generalized HARQ Protocols with Delayed Channel State Information and Average Latency Constraints

In many wireless systems, the signal-to-interference-and-noise ratio tha...

Kasper Fløe Trillingsgaard, et al. ∙

research

∙ 01/28/2018

GraphCombEx: A Software Tool for Exploration of Combinatorial Optimisation Properties of Large Graphs

We present a prototype of a software tool for exploration of multiple co...

David Chalupa, et al. ∙

Aalborg University

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