Chris Develder

Publications
Influence

Worldwide energy needs for ICT: The rise of power-aware networking

M. Pickavet, W. Vereecken, +6 authors P. Demeester
Engineering
2nd International Symposium on Advanced Networks…
1 December 2008

As Information and Communication Technology (ICT) is becoming more and more wide-spread and pervasive in our daily life, it is important to get a realistic overview of the worldwide impact of ICT on… Expand

Joint entity recognition and relation extraction as a multi-head selection problem

Giannis Bekoulis, J. Deleu, Thomas Demeester, Chris Develder
Computer Science
Expert Syst. Appl.
20 April 2018

We propose a joint neural model which performs entity recognition and relation extraction simultaneously, without the need of any manually extracted features or the use of any external tool. Expand

Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging

Kevin Mets, Tom Verschueren, W. Haerick, Chris Develder, F. De Turck
Computer Science
IEEE/IFIP Network Operations and Management…
19 April 2010

In this paper, we investigate the potential benefits of using control mechanisms, that could be offered by a Home Energy control box, in optimizing energy consumption stemming from PHEV charging in a residential use case. Expand

Data-centric optical networks and their survivability

D. Colle, S. D. Maesschalck, +7 authors P. Demeester
Computer Science
IEEE J. Sel. Areas Commun.
7 August 2002

The explosive growth of data traffic-for example, due to the popularity of the Internet-poses important emerging network requirements on today's telecommunication networks. Expand

The European IST project DAVID: a viable approach toward optical packet switching

L. Dittmann, Chris Develder, +16 authors G. J. Eilenberger
Computer Science
IEEE J. Sel. Areas Commun.
8 September 2003

In this paper, promising technologies and a network architecture are presented for future optical packet switched networks. Expand

Adversarial training for multi-context joint entity and relation extraction

Giannis Bekoulis, J. Deleu, T. Demeester, Chris Develder
Computer Science
EMNLP
1 August 2018

Adversarial training (AT) is a regularization method that can be used to improve the robustness of neural network methods by adding small perturbations in training data. Expand

Optical Networks for Grid and Cloud Computing Applications

Chris Develder, M. D. Leenheer, +4 authors P. Demeester
Computer Science
Proceedings of the IEEE
31 January 2012

The evolution toward grid and cloud computing as observed for over a decennium illustrates the crucial role played by (optical) networks in supporting today's applications. Expand

Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis

Kevin Mets, Juan Aparicio, Chris Develder
Computer Science
IEEE Communications Surveys & Tutorials
14 March 2014

We provide a comprehensive overview of various smart grid simulators, applicable in smart grid research: we will cover both the communication and associated ICT infrastructure, on top of the power grid. Expand

Integrated simulation of power and communication networks for smart grid applications

Kevin Mets, Tom Verschueren, Chris Develder, T. Vandoorn, L. Vandevelde
Computer Science
IEEE 16th International Workshop on Computer…
10 June 2011

Innovative architectures, control mechanisms and network technologies are being proposed to realize the future smart grid. Expand

Design and control of optical grid networks

M. D. Leenheer, Chris Develder, T. Stevens, B. Dhoedt, M. Pickavet, P. Demeester
Computer Science
Fourth International Conference on Broadband…
1 September 2007

Grid computing aims to realize a high-performance computing environment, while increasing the usage efficiency of installed resources. Expand

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