Searched for: author%3A%22Tax%2C+D.M.J.%22
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Ghorbani, R. (author), Reinders, M.J.T. (author), Tax, D.M.J. (author)
Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may be interesting. However, robust and reliable anomaly detection within these data remains a challenge...
journal article 2024
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Dekhovich, A. (author), Tax, D.M.J. (author), Sluiter, M.H.F. (author), Bessa, M.A. (author)
Current deep neural networks (DNNs) are overparameterized and use most of their neuronal connections during inference for each task. The human brain, however, developed specialized regions for different tasks and performs inference with a small fraction of its neuronal connections. We propose an iterative pruning strategy introducing a simple...
journal article 2024
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van den Houten, K.C. (author), de Weerdt, M.M. (author), Tax, D.M.J. (author), Freydell, Esteban (author), Christoupoulou, Eva (author), Nati, Alessandro (author)
We study a highly complex scheduling problem that requires the generation and optimization of production schedules for a multi-product biomanufacturing system with continuous and batch processes. There are two main objectives here; makespan and lateness, which are combined into a cost function that is a weighted sum. An additional complexity...
conference paper 2023
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Ghorbani, R. (author), Reinders, M.J.T. (author), Tax, D.M.J. (author)
With the progress of sensor technology in wearables, the collection and analysis of PPG signals are gaining more interest. Using Machine Learning, the cardiac rhythm corresponding to PPG signals can be used to predict different tasks such as activity recognition, sleep stage detection, or more general health status. However, supervised...
conference paper 2023
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Bongaerts, Michiel (author), Kulkarni, Purva (author), Zammit, Alan (author), Bonte, Ramon (author), Kluijtmans, Leo A. J. (author), Blom, Henk J. (author), Engelke, Udo F. H. (author), Tax, D.M.J. (author), Ruijter, George J.G. (author), Reinders, M.J.T. (author)
Untargeted metabolomics (UM) is increasingly being deployed as a strategy for screening patients that are suspected of having an inborn error of metabolism (IEM). In this study, we examined the potential of existing outlier detection methods to detect IEM patient profiles. We benchmarked 30 different outlier detection methods when applied to...
journal article 2023
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Mensi, Antonella (author), Tax, D.M.J. (author), Bicego, Manuele (author)
Because outliers are very different from the rest of the data, it is natural to represent outliers by their distances to other objects. Furthermore, there are many scenarios in which only pairwise distances are known, and feature-based outlier detection methods cannot directly be applied. Considering these observations, and given the success...
journal article 2023
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Dekhovich, A. (author), Tax, D.M.J. (author), Sluiter, M.H.F. (author), Bessa, M.A. (author)
The human brain is capable of learning tasks sequentially mostly without forgetting. However, deep neural networks (DNNs) suffer from catastrophic forgetting when learning one task after another. We address this challenge considering a class-incremental learning scenario where the DNN sees test data without knowing the task from which this...
journal article 2023
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Kato, Y. (author), Tax, D.M.J. (author), Loog, M. (author)
Estimating uncertainty of machine learning models is essential to assess the quality of the predictions that these models provide. However, there are several factors that influence the quality of uncertainty estimates, one of which is the amount of model misspecification. Model misspecification always exists as models are mere simplifications...
conference paper 2023
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Naseri Jahfari, A. (author), Tax, D.M.J. (author), van der Harst, Pim (author), Reinders, M.J.T. (author), van der Bilt, Ivo (author)
Background: Smartwatches enable continuous and noninvasive time series monitoring of cardiovascular biomarkers like heart rate (from photoplethysmograms), step counter, skin temperature, et cetera; as such, they have promise in assisting in early detection and prevention of cardiovascular disease. Although these biomarkers may not be directly...
journal article 2023
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Moradi, M. (author), Ghorbani, R. (author), Sfarra, Stefano (author), Tax, D.M.J. (author), Zarouchas, D. (author)
Assessment of cultural heritage assets is now extremely important all around the world. Non-destructive inspection is essential for preserving the integrity of the artworks while avoiding the loss of any precious materials that make it up. The use of Infrared Thermography (IRT) is an interesting concept since surface and subsurface faults can be...
conference paper 2022
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Mulder, S.T. (author), Omidvari, Amir-Houshang (author), Rueten-Budde, A.J. (author), Hai, R. (author), Akgün, O.C. (author), Tax, D.M.J. (author), Reinders, M.J.T. (author), Reinders, Marcel (author), Visch, V.T. (author)
A digital twin (DT), originally defined as a virtual representation of a physical asset, system, or process, is a new concept in health care. A DT in health care is not a single technology but a domain-adapted multimodal modeling approach incorporating the acquisition, management, analysis, prediction, and interpretation of data, aiming to...
journal article 2022
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Veronica, Tollenaar (author), Zekollari, H. (author), Lhermitte, S.L.M. (author), Tax, D.M.J. (author), Debaille, Vinciane (author), Goderis, Steven (author), Claeys, Philippe (author), Pattyn, Frank (author)
Meteorites provide a unique view into the origin and evolution of the Solar System. Antarctica is the most productive region for recovering meteorites, where these extraterrestrial rocks concentrate at meteorite stranding zones. To date, meteorite-bearing blue ice areas are mostly identified by serendipity and through costly reconnaissance...
journal article 2022
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Moradi, M. (author), Ghorbani, R. (author), Sfarra, Stefano (author), Tax, D.M.J. (author), Zarouchas, D. (author)
Assessment of cultural heritage assets is now extremely important all around the world. Non-destructive inspection is essential for preserving the integrity of artworks while avoiding the loss of any precious materials that make them up. The use of Infrared Thermography is an interesting concept since surface and subsurface faults can be...
journal article 2022
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Tan, S. (author), Tax, D.M.J. (author), Hung, H.S. (author)
In this work, we propose an approach for detecting conversation groups in social scenarios like cocktail parties and networking events, from overhead camera recordings. We posit the detection of conversation groups as a learning problem that could benefit from leveraging the spatial context of the surroundings, and the inherent temporal...
conference paper 2022
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Naseri Jahfari, A. (author), Tax, D.M.J. (author), Reinders, M.J.T. (author), van der Bilt, Ivo (author)
Background: Wearable technology has the potential to improve cardiovascular health monitoring by using machine learning. Such technology enables remote health monitoring and allows for the diagnosis and prevention of cardiovascular diseases. In addition to the detection of cardiovascular disease, it can exclude this diagnosis in symptomatic...
review 2022
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Tan, S. (author), Tax, D.M.J. (author), Hung, H.S. (author)
Human head orientation estimation has been of interest because head orientation serves as a cue to directed social attention. Most existing approaches rely on visual and high-fidelity sensor inputs and deep learning strategies that do not consider the social context of unstructured and crowded mingling scenarios. We show that alternative...
journal article 2021
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Schmahl, Katja Geertruida (author), Viering, T.J. (author), Makrodimitris, S. (author), Naseri Jahfari, A. (author), Tax, D.M.J. (author), Loog, M. (author)
Large text corpora used for creating word embeddings (vectors which represent word meanings) often contain stereotypical gender biases. As a result, such unwanted biases will typically also be present in word embeddings derived from such corpora and downstream applications in the field of natural language processing (NLP). To minimize the effect...
conference paper 2020
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Cabrera Quiros, L.C. (author), Tax, D.M.J. (author), Hung, H.S. (author)
This paper addresses the detection of hand gestures during free-standing conversations in crowded mingle scenarios. Unlike the scenarios of the previous works in gesture detection and recognition, crowded mingle scenes have additional challenges such as cross-contamination between subjects, strong occlusions, and nonstationary backgrounds....
journal article 2020
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Loog, M. (author), Viering, T.J. (author), Mey, Alexander (author), Krijthe, J.H. (author), Tax, D.M.J. (author)
journal article 2020
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Pei, Wenjie (author), Dibeklioglu, H. (author), Baltrusaitis, Tadas (author), Tax, D.M.J. (author)
The main challenges of age estimation from facial expression videos lie not only in the modeling of the static facial appearance, but also in the capturing of the temporal facial dynamics. Traditional techniques to this problem focus on constructing handcrafted features to explore the discriminative information contained in facial appearance...
journal article 2020
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