Tim Verbelen

发表

Management of crowdsourced first-person video: street view live

Steven Bohez, Jens Mostaert, Tim Verbelen, 2014, MUM.

Adaptive Application Configuration and Distribution in Mobile Cloudlet Middleware

Filip De Turck, Tim Verbelen, Pieter Simoens, 2012, MOBILWARE.

Proceedings of the on Eclipse Technology eXchange

Tim Verbelen, Michael G. Burke, M. Burke, 2015, ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity.

Fatigue life assessment of three offshore wind turbines

Tim Verbelen, Wout Weijtjens, Christof Devriendt, 2016 .

Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks pdf

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2019, PKDD/ECML Workshops.

Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification pdf

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2018, MLCN/DLF/iMIMIC@MICCAI.

Mobile device power models for energy efficient dynamic offloading at runtime

Piet Demeester, Tim Verbelen, Pieter Simoens, 2016, J. Syst. Softw..

Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets

Steven Bohez, Tim Verbelen, Pieter Simoens, 2015, Simul. Model. Pract. Theory.

Software Engineering Practices for Machine Learning pdf

Tim Verbelen, Peter Kriens, Tim Verbelen, 2019, ArXiv.

AIOLOS: mobile middleware for adaptive offloading

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2011, PDT '11.

Quality of experience driven control of interactive media stream parameters

Filip De Turck, Piet Demeester, Tim Verbelen, 2013, 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013).

You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2020, IWAI.

A Survey on Distributed Machine Learning

Tim Verbelen, Jan S. Rellermeyer, Joost Verbraeken, 2019, ACM Comput. Surv..

Adaptive Online Deployment for Resource Constrained Mobile Smart Clients

Filip De Turck, Tim Verbelen, Bart Dhoedt, 2010, MOBILWARE.

Remote Management of a Large Set of Heterogeneous Devices Using Existing IoT Interoperability Platforms

Chris Develder, Tim Verbelen, Jelle Nelis, 2015, IoT 360.

Learning to Grasp Arbitrary Household Objects from a Single Demonstration

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Adaptive offloading and configuration of resource intensive mobile applications

Tim Verbelen, Tim Verbelen, 2013 .

Androsgi: bringing the power of OSGi to Android

Steven Bohez, Tim Verbelen, Bart Dhoedt, 2015, ETX.

Transfer Learning with Binary Neural Networks pdf

Steven Bohez, Tim Verbelen, Pieter Simoens, 2017, NIPS 2017.

AIOLOS: Middleware for improving mobile application performance through cyber foraging

Filip De Turck, Tim Verbelen, Pieter Simoens, 2012, J. Syst. Softw..

Deep active inference for state estimation by learning from demonstration

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2018 .

Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud

Steven Bohez, Tim Verbelen, Pieter Simoens, 2016, 2016 5th IEEE International Conference on Cloud Networking (Cloudnet).

Bayesian policy selection using active inference pdf

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2019, ICLR 2019.

Training binary neural networks with knowledge transfer

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2020, Neurocomputing.

Sensor fusion for robot control through deep reinforcement learning

Steven Bohez, Tim Verbelen, Pieter Simoens, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure

Steven Bohez, Tim Verbelen, Pieter Simoens, 2018, J. Syst. Softw..

Lazy Evaluation of Convolutional Filters pdf

Steven Bohez, Tim Verbelen, Pieter Simoens, 2016, ICML 2016.

Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations pdf

Tim Verbelen, Bart Dhoedt, Sam Leroux, 2018, NIPS 2018.

Multi-fidelity matryoshka neural networks for constrained IoT devices

Steven Bohez, Tim Verbelen, Pieter Simoens, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Cloudlets: bringing the cloud to the mobile user

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2012, MCS '12.

Privacy Aware Offloading of Deep Neural Networks pdf

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2018, ICML 2018.

Vision: smart home control with head-mounted sensors for vision and brain activity

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2014, MCS '14.

Learning Perception and Planning With Deep Active Inference

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds

Steven Bohez, Tim Verbelen, Pieter Simoens, 2016, J. Syst. Softw..

Learning to Grasp from a Single Demonstration pdf

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2018, ArXiv.

Using a Cascade of Neural Network Layers

Steven Bohez, Tim Verbelen, Pieter Simoens, 2015 .

Vision: mapping the world in 3d through first-person vision devices with mercator

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2013, MCS '13.

Augmenting mobile phone capabilities by adaptive offloading

Tim Verbelen, 2011 .

Model-driven configuration and deployment optimization in mobile cloud computing

Filip De Turck, Tim Verbelen, Pieter Simoens, 2014 .

Fast dynamic deployment adaptation for mobile devices

Filip De Turck, Tim Verbelen, Tim Stevens, 2010, ICPS 2010.

Enabling component-based mobile cloud computing with the AIOLOS middleware

Steven Bohez, Tim Verbelen, Pieter Simoens, 2014, ARM '14.

Distributed Neural Networks for Internet of Things: The Big-Little Approach

Piet Demeester, Steven Bohez, Tim Verbelen, 2015, IoT 360.

Vibration based structural health monitoring of the substructures of five offshore wind turbines

Tim Verbelen, Wout Weijtjens, Christof Devriendt, 2017 .

Mobile, Collaborative Augmented Reality Using Cloudlets

Steven Bohez, Tim Verbelen, Pieter Simoens, 2013, 2013 International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications.

Allocation Algorithms for Autonomous Management of Collaborative Cloudlets

Steven Bohez, Tim Verbelen, Pieter Simoens, 2014, 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering.

Learning robots to grasp by demonstration

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2020, Robotics Auton. Syst..

Deep Active Inference for Autonomous Robot Navigation pdf

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2020, ICLR 2020.

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization pdf

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2020, ArXiv.

Resource-constrained classification using a cascade of neural network layers

Steven Bohez, Tim Verbelen, Pieter Simoens, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Towards a component-based platform for industrial AR

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2013, UbiComp.

ETX'14: 2014 workshop on eclipse technology exchange

Tim Verbelen, Jan S. Rellermeyer, 2014, SPLASH '14.

Workshop preview of the 2015 eclipse technology exchange workshop (ETX 2015)

Tim Verbelen, Michael G. Burke, 2015, SPLASH.

Proceedings of the 2014 Workshop on Eclipse Technology eXchange, ETX 2014, Portland, OR, USA, October 20 - 24, 2014

Andrew P. Black, Tim Verbelen, Jan S. Rellermeyer, 2014, ETX.

Mobile AR in the outdoors: watch the clouds

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2012 .

Adaptive deployment and configuration for mobile augmented reality in the cloudlet

Filip De Turck, Tim Verbelen, Pieter Simoens, 2014, J. Netw. Comput. Appl..

Leveraging Cloudlets for Immersive Collaborative Applications

Filip De Turck, Tim Verbelen, Pieter Simoens, 2013, IEEE Pervasive Computing.

Offshore wind turbine foundation monitoring, extrapolating fatigue measurements from fleet leaders to the entire wind farm

Tim Verbelen, Christof Devriendt, Nymfa Noppe, 2016 .

Data Normalization for Foundation SHM of an Offshore Wind Turbine : A Real-Life Case Study

Tim Verbelen, Wout Weijtjens, Christof Devriendt, 2014 .

The cascading neural network: building the Internet of Smart Things

Steven Bohez, Tim Verbelen, Pieter Simoens, 2017, Knowledge and Information Systems.

Enriching networked applications and services through usergenerated content

Filip De Turck, Piet Demeester, Steven Schockaert, 2009 .

Robot navigation using a variational dynamics model for state estimation and robust control

Steven Bohez, Tim Verbelen, Pieter Simoens, 2018, NIPS 2018.

Dynamic deployment and quality adaptation for mobile augmented reality applications

Filip De Turck, Tim Verbelen, Pieter Simoens, 2011, J. Syst. Softw..

Towards an evolvable data management system for wind turbines

Tim Verbelen, Dirk van der Linden, Christof Devriendt, 2017, Comput. Stand. Interfaces.

Learning to Catch Piglets in Flight pdf

Tim Verbelen, Bart Dhoedt, Ozan Çatal, 2020, ArXiv.

DIANNE: Distributed Artificial Neural Networks for the Internet of Things

Steven Bohez, Tim Verbelen, Pieter Simoens, 2015, M4IoT@Middleware.

Foundation structural health monitoring of an offshore wind turbine—a full-scale case study

Tim Verbelen, Wout Weijtjens, Christof Devriendt, 2016 .

Graph partitioning algorithms for optimizing software deployment in mobile cloud computing

Filip De Turck, Tim Verbelen, Bart Dhoedt, 2013, Future Gener. Comput. Syst..

Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things

Steven Bohez, Tim Verbelen, Pieter Simoens, 2019, Future Gener. Comput. Syst..

Decoupled Learning of Environment Characteristics for Safe Exploration pdf

Steven Bohez, Tim Verbelen, Pieter Simoens, 2017, ICML 2017.

A component-based approach towards mobile distributed and collaborative PTAM

Filip De Turck, Tim Verbelen, Pieter Simoens, 2012, 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Learning Generative State Space Models for Active Inference

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2020, Frontiers in Computational Neuroscience.

Sleep: Model Reduction in Deep Active Inference

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2020, IWAI.

A learning gap between neuroscience and reinforcement learning pdf

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2021, ArXiv.

Towards bio-inspired unsupervised representation learning for indoor aerial navigation pdf

Tim Verbelen, Bart Dhoedt, Ni Wang, 2021, ArXiv.

A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance

André Bourdoux, Georges G. E. Gielen, Francky Catthoor, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Self-Supervised Exploration via Latent Bayesian Surprise pdf

Tim Verbelen, Bart Dhoedt, Pietro Mazzaglia, 2021, ArXiv.

Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach

André Bourdoux, Georges G. E. Gielen, Francky Catthoor, 2021, IEEE Robotics and Automation Letters.

Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2021, Neural Computing and Applications.

Robot navigation as hierarchical active inference

Tim Verbelen, Bart Dhoedt, Ozan Çatal, 2021, Neural Networks.

Data-Efficient Sensor Upgrade Path Using Knowledge Distillation

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2021, Sensors.

Disentangling What and Where for 3D Object-Centric Representations Through Active Inference pdf

Tim Verbelen, Bart Dhoedt, Toon Van de Maele, 2021, PKDD/ECML Workshops.

Contrastive Active Inference pdf

Tim Verbelen, Bart Dhoedt, Pietro Mazzaglia, 2021, NeurIPS.

Active Vision for Robot Manipulators Using the Free Energy Principle

Tim Verbelen, Bart Dhoedt, Cedric De Boom, 2021, Frontiers in Neurorobotics.

LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping

Jan Steckel, Tim Verbelen, Bart Dhoedt, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification

Tim Verbelen, Pieter Simoens, Bart Dhoedt, 2019, UNSURE/CLIP@MICCAI.