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ORCIDPieter Simoens
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Publications
- 2019
[j39]Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen
, Pieter Simoens, Bart Dhoedt:
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. 97: 355-360 (2019)- 2018
- [j31]Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. J. Syst. Softw. 141: 52-65 (2018) - [j30]Steven Bohez, Glenn Daneels, Lander Van Herzeele, Niels Van Kets, Sam Decrock, Matthias De Geyter, Glenn Van Wallendael, Peter Lambert, Bart Dhoedt, Pieter Simoens, Steven Latré, Jeroen Famaey:
The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events. Multim. Tools Appl. 77(1): 597-629 (2018) - [c46]Sam Leroux, Steven Bohez, Pieter-Jan Maenhaut, Nathan Meheus, Pieter Simoens, Bart Dhoedt:
Fingerprinting encrypted network traffic types using machine learning. NOMS 2018: 1-5 - 2017
- [j27]Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
The cascading neural network: building the Internet of Smart Things. Knowl. Inf. Syst. 52(3): 791-814 (2017) - [c43]Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Sensor fusion for robot control through deep reinforcement learning. IROS 2017: 2365-2370 - [i5]Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Sensor Fusion for Robot Control through Deep Reinforcement Learning. CoRR abs/1703.04550 (2017) - [i4]Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt:
Decoupled Learning of Environment Characteristics for Safe Exploration. CoRR abs/1708.02838 (2017) - [i3]Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Transfer Learning with Binary Neural Networks. CoRR abs/1711.10761 (2017) - 2016
- [j24]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Bart Dhoedt:
Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. J. Syst. Softw. 118: 101-114 (2016) - [c40]Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Bart Dhoedt, Pieter Simoens:
Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. CloudNet 2016: 218-223 - [c39]Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Multi-fidelity matryoshka neural networks for constrained IoT devices. IJCNN 2016: 1305-1309 - [i2]Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt:
Efficiency Evaluation of Character-level RNN Training Schedules. CoRR abs/1605.02486 (2016) - [i1]Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Lazy Evaluation of Convolutional Filters. CoRR abs/1605.08543 (2016) - 2015
- [j21]Steven Bohez, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. Simul. Model. Pract. Theory 50: 109-129 (2015) - [c33]Glenn Daneels, Jeroen Famaey, Steven Bohez, Pieter Simoens, Steven Latré:
Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. GLOBECOM Workshops 2015: 1-7 - [c31]Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Resource-constrained classification using a cascade of neural network layers. IJCNN 2015: 1-7 - [c29]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Piet Demeester, Bart Dhoedt:
Distributed Neural Networks for Internet of Things: The Big-Little Approach. IoT 360 (2) 2015: 484-492 - [c28]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens:
DIANNE: Distributed Artificial Neural Networks for the Internet of Things. M4IoT@Middleware 2015: 19-24 - [c27]Steven Bohez, Jaron Couvreur, Bart Dhoedt, Pieter Simoens:
Cloudlet-based Large-scale 3D Reconstruction Using Real-time Data from Mobile Depth Cameras. MCS@MobiCom 2015: 8-14 - 2014
- [c25]Steven Bohez, Elias De Coninck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Enabling component-based mobile cloud computing with the AIOLOS middleware. ARM@Middleware 2014: 2:1-2:6 - [c23]Steven Bohez, Jens Mostaert, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Management of crowdsourced first-person video: street view live. MUM 2014: 11-19 - 2013
- [c19]Steven Bohez, Joeri De Turck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Mobile, Collaborative Augmented Reality Using Cloudlets. MOBILWARE 2013: 10-19
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