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Gielisse, A.S. (author)Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this currently widely adopted convex upsampling approach. We propose a series of changes, inspired by the observation that convex upsampling as currently implemented performs...master thesis 2023
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de Pater, I.I. (author), Mitici, M.A. (author)Most Remaining Useful Life (RUL) prognostics are obtained using supervised learning models trained with many labelled data samples (i.e., the true RUL is known). In aviation, however, aircraft systems are often preventively replaced before failure. There are thus very few labelled data samples available. We therefore propose a Long Short-Term...journal article 2023
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Lee, Y. (author), Specht, M.M. (author)Reading on digital devices has become more commonplace, while it often poses challenges to learners' attention. In this study, we hypothesized that allowing learners to reflect on their reading phases with an empathic social robot companion might enhance learners' attention in e-reading. To verify our assumption, we collected a novel dataset ...conference paper 2023
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Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attentionNdubuisi, G.O. (author), Urom, Christian (author)This paper examines the relationships among cryptocurrency environmental attention and clean cryptocurrencies prices using Time-Varying Parameter Vector Auto-Regression (TVP-VAR) and wavelets techniques. Results show strong connectedness among these variables, implying that the prices of clean cryptocurrencies are influenced by attention on...journal article 2023
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Zhang, Xinqi (author), Shi, Jihao (author), Yang, M. (author), Huang, Xinyan (author), Usmani, Asif Sohail (author), Chen, Guoming (author), Fu, Jianmin (author), Huang, Jiawei (author), Li, Junjie (author)Long short-term memory (LSTM) has been widely applied to real-time automated natural gas leak detection and localization. However, LSTM approach could not provide the interpretation that this leak position is localized instead of other positions. This study proposes a leakage detection and localization approach by integrating the attention...journal article 2023
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Cuentas-Hernandez, Sandra (author), Li, Xiaomeng (author), King, Mark J. (author), Oviedo-Trespalacios, O. (author)Introduction: Driver distraction has been recognized for a long time as a significant road safety issue. It has been consistently reported that drivers spend considerable time engaged in activities that are secondary to the driving task. The temporary diversion of attention from safety-critical driving tasks has often been associated with...journal article 2023
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Bombaerts, Gunter (author), Anderson, Joel (author), Dennis, Matthew James (author), Gerola, Alessio (author), Frank, Lily (author), Hannes, Tom (author), Hopster, Jeroen (author), Marin, L. (author), Spahn, Andreas (author)The “attention economy” refers to the tech industry’s business model that treats human attention as a commodifiable resource. The libertarian critique of this model, dominant within tech and philosophical communities, claims that the persuasive technologies of the attention economy infringe on the individual user’s autonomy and therefore the...journal article 2023
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Bakay, Ahmed (author)Human operators who are tasked with monitoring automation systems may experience a high visual demand to process the information streams from these systems. The visual sampling behavior of human operators can be described using mathematical models. These models can help designers improve environments where multiple signals are present for human...master thesis 2022
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Collé, Baptiste (author)Most deep learning models fail to generalize in production. Indeed, sometimes data used during training does not completely reflect the deployed environment. The test data is then considered out-of-distribution compared to the training data. In this paper, we focus on out-of-distribution performance for image classification. In fact,...bachelor thesis 2022
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Yin, Zhao (author), Geraedts, Victor Jacobus (author), Wang, Z. (author), Contarino, Maria Fiorella (author), Dibeklioglu, H. (author), van Gemert, J.C. (author)Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e., bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms with clinical rating scales, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos to assist the...journal article 2022
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Sun, Junzi (author), Dijkstra, T.L.E. (author), Aristodemou, K. (author), Buzeţelu, V.S. (author), Falat, T. (author), Hogenelst, T.G. (author), Prins, N. (author), Slijper, B.C. (author)In this paper, we propose open machine learning models that can provide airport delay predictions in a network with an error of around or less than five minutes. Due to the complexity of different components of air traffic networks, traditional flight performance model-based predictions fall short when dealing with numerous flights and often are...conference paper 2022
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Raju, Narayana (author), Patil, Shubham (author), Arkatkar, Shriniwas S. (author), Easa, Said (author)This study originated with the intent of qualifying traffic string stability from empirical observations. A new responsiveness angle measure was developed to assess driver instincts under vehicle-following conditions. In this measure, the degree of the follower vehicle's attention towards its leader vehicle's actions is quantified. In...journal article 2022
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Eisma, Y.B. (author), Eijssen, Dirk (author), de Winter, J.C.F. (author)This study explores how drivers of an automated vehicle distribute their attention as a function of environmental events and driving task instructions. Twenty participants were asked to monitor pre-recorded videos of a simulated driving trip while their eye movements were recorded using an eye-tracker. The results showed that eye movements are...journal article 2022
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Hou, Miaomiao (author), Hu, Xiaofeng (author), Cai, Jitao (author), Han, Xinge (author), Yuan, S. (author)Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction can provide reasonable estimations associated with the crime hotspot. It thus contributes to...journal article 2022
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van Nispen, K. (author), Sekine, Kazuki (author), van der Meulen, Ineke (author), Preisig, Basil C. (author)Co-speech hand gestures are an ubiquitous form of nonverbal communication, which can express additional information that is not present in speech. Hand gestures may become more relevant when verbal production is impaired, as in speakers with post-stroke aphasia. In fact, speakers with aphasia produce more gestures than non-brain damaged speakers...journal article 2022
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Anil Meera, A. (author), Novicky, Filip (author), Parr, Thomas (author), Friston, Karl (author), Lanillos, Pablo (author), Sajid, Noor (author)Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual information between the (current) visual information and its estimated causes. However, they fail to consider the circular causality between perception and action. In other...journal article 2022
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Stapel, J.C.J. (author), Happee, R. (author), Christoph, Michiel (author), van Nes, C.N. (author), Martens, Marieke (author)This study reports usage of supervised automation and driver attention from longitudinal naturalistic driving observations. Automation inexperienced drivers were provided with instrumented vehicles with adaptive cruise control (ACC) and lane keeping (LK) features (SAE level 2). Data was collected comparing one month of driving without support...journal article 2022
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Dong, Xichao (author), Zhao, Zewei (author), Wang, Yupei (author), Wang, J. (author), Hu, Cheng (author)Nowadays deep learning-based weather radar echo extrapolation methods have competently improved nowcasting quality. Current pure convolutional or convolutional recurrent neural network-based extrapolation pipelines inherently struggle in capturing both global and local spatiotemporal interactions simultaneously, thereby limiting nowcasting...journal article 2022
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Wenk, Nicolas (author), Jordi, Mirjam V. (author), Buetler, Karin A. (author), Marchal Crespo, L. (author)Combining immersive virtual reality (VR) using head-mounted displays (HMDs) with assisting robotic devices might be a promising procedure to enhance neurorehabilitation. However, it is still an open question how immersive virtual environments (VE) should be designed when interacting with rehabilitation robots. In conventional training, the...journal article 2022
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Lee, Y. (author), Chen, H. (author), Zhao, Guoying (author), Specht, M.M. (author)Human attention is critical yet challenging cognitive process to measure due to its diverse definitions and non-standardized evaluation. In this work, we focus on the attention self-regulation of learners, which commonly occurs as an effort to regain focus, contrary to attention loss. We focus on easy-to-observe behavioral signs in the real...conference paper 2022