Searched for: subject%3A%22train%22
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van Goeverden, C.D. (author)
In the context of mitigating climate change, a shift from air to rail is proposed for short-haul journeys. The impact of this policy on the GHG emissions of aviation is small and will be even marginal if only journeys < 500 km are involved. These journeys account for 2.2% of the mileage of air travel, and the impact on emissions will be even...
conference paper 2023
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Ghiassi, S. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Learning robust deep models against noisy labels becomes ever critical when today's data is commonly collected from open platforms and subject to adversarial corruption. The information on the label corruption process, i.e., corruption matrix, can greatly enhance the robustness of deep models but still fall behind in combating hard classes....
conference paper 2023
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van Dam, Tim (author), Izadi, M. (author), van Deursen, A. (author)
Transformer-based pre-trained models have recently achieved great results in solving many software engineering tasks including automatic code completion which is a staple in a developer’s toolkit. While many have striven to improve the code-understanding abilities of such models, the opposite – making the code easier to understand – has not been...
conference paper 2023
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Ortner, Thomas (author), Pes, Lorenzo (author), Gentinetta, Joris (author), Frenkel, C. (author), Pantazi, Angeliki (author)
Recurrent neural networks trained with the backpropagation through time (BPTT) algorithm have led to astounding successes in various temporal tasks. However, BPTT introduces severe limitations, such as the requirement to propagate information backwards through time, the weight symmetry requirement, as well as update-locking in space and time....
conference paper 2023
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Lin, Zhaofeng (author), Patel, T.B. (author), Scharenborg, O.E. (author)
Whispering is a distinct form of speech known for its soft, breathy, and hushed characteristics, often used for private communication. The acoustic characteristics of whispered speech differ substantially from normally phonated speech and the scarcity of adequate training data leads to low automatic speech recognition (ASR) performance. To...
conference paper 2023
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Al-Kaswan, A. (author), Ahmed, Toufique (author), Izadi, M. (author), Sawant, Anand Ashok (author), Devanbu, Premkumar (author), van Deursen, A. (author)
Binary reverse engineering is used to understand and analyse programs for which the source code is unavailable. Decompilers can help, transforming opaque binaries into a more readable source code-like representation. Still, reverse engineering is difficult and costly, involving considering effort in labelling code with helpful summaries....
conference paper 2023
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van Alderwegen, E. (author), Mosselman, E. (author), Zijlema, A. (author), Bahrami-Yarahmadi, M. (author), Reedijk, B (author)
conference paper 2022
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Duró, Gonzalo (author), Mosselman, E. (author), Schippers, Melanie (author), Reneerkens, Michiel (author), Ridderinkhof, Wim (author)
conference paper 2022
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Ahrendt, S.M. (author), Blom, A. (author), van Denderen, R. Pepijn (author), Schielen, R.M.J. (author), Horner-Devine, Alexander (author)
conference paper 2022
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Mosselman, E. (author), Buijse, Tom (author)
conference paper 2022
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Czapiga, Matthew (author), Blom, A. (author), Viparelli, Enrica (author)
conference paper 2022
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Li, Z. (author), Rajan, R.T. (author)
Multiagent systems have been widely researched and deployed in the industry for their potential to collectively achieve goals by distributing tasks to individual agents [1]–[4]. Formation control, one of the many applications of multiagent systems, aims at steering agents into a stable geometric pattern in space [3], [4]. There has been a...
conference paper 2022
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de Rooij, S.J.S. (author), Hunyadi, Borbala (author)
Epilepsy is one of the most common neurological conditions, affecting nearly 1% of the global population. It is defined by the seemingly random occurrence of spontaneous seizures. Anti-epileptic drugs provide adequate treatment for about 70% of patients. The remaining 30%, on the other hand, continue to have seizures, which has a significant...
conference paper 2022
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Goedemondt, K.S. (author), Yang, J. (author), Wang, Q. (author)
Touchscreens and buttons had became a medium for virus transmission during the COVID-19 pandemic. We have seen in our daily life that people use tissues and keys to press buttons inside elevators, on public screens, etc. In the post- COVID world, touch-free interaction with public touchscreens and buttons may become more popular. Motivated by...
conference paper 2022
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Bouman, Katja (author), Lefter, I. (author), Rook, L. (author), Oertel, Catharine (author), Jonker, C.M. (author), Brazier, F.M. (author)
This study investigates whether an agent-based Negotiation Training System (NTS) can teach women Strategic Empathy - a recently introduced negotiation strategy based on perspective taking - and whether this can improve their negotiation performance. Developed and tested through an interaction-based real-time experiment was a NTS that integrated...
conference paper 2022
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Rocha, Isabelly (author), Felber, Pascal (author), Schiavoni, Valerio (author), Chen, Lydia Y. (author)
Deep Neural Networks (DNNs) have demonstrated impressive performance on many machine-learning tasks such as image recognition and language modeling, and are becoming prevalent even on mobile platforms. Despite so, designing neural architectures still remains a manual, time-consuming process that requires profound domain knowledge. Recently,...
conference paper 2022
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Kon, Johan (author), Bruijnen, Dennis (author), van de Wijdeven, Jeroen (author), Heertjes, Marcel (author), Oomen, T.A.E. (author)
Unknown nonlinear dynamics can limit the performance of model-based feedforward control. The aim of this paper is to develop a feedforward control framework for systems with unknown, typically nonlinear, dynamics. To address the unknown dynamics, a physics-based feedforward model is complemented by a neural network. The neural network output in...
conference paper 2022
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Beuling, M.G. (author), van Riet, T.C.T. (author), van Frankenhuyzen, J. (author), van Antwerpen, R. (author), de Blocq van Scheltinga, S. (author), Dourleijn, A.H.H. (author), Ireiz, D. (author), Streefkerk, S. (author), van Zanten, J.C. (author), de Lange, Jan (author), Kober, J. (author), Dodou, D. (author)
The need for a training modality for tooth extraction procedures is increasing, as dental students do not feel properly trained. In this study, a prototype of a training setup is designed, in which extraction procedures can be performed on jaw models and cadaveric jaws. The prototype was designed in a way that it can give real-time feedback on...
conference paper 2022
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Dong, J. (author), Becetti, Belkassem (author), Bauer, P. (author)
This paper investigates a high speed vacuum tube train system relying on wheels for suspension and a multi-mode linear electric machine for charging and propulsion: the machine will be configured as a doubly fed induction machine for charging at stationary, and as a permanent magnet synchronous machine for acceleration and deceleration. The...
conference paper 2022
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Van Damme, Nathan (author), Ratz, Raphael (author), Marchal Crespo, L. (author)
Sensorimotor impairments of the hand after stroke can drastically reduce the ability to perform activities of daily living. Recently, there has been an increased interest in minimally supervised and unsupervised rehabilitation to increase therapy dosage and to complement conventional therapy. Several devices have been developed that are...
conference paper 2022
Searched for: subject%3A%22train%22
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