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Arzhaeva, Y. (author), Tax, D. (author), Van Ginneken, B. (author)
In this paper we compare and combine two distinct pattern classification approaches to the automated detection of regions with interstitial abnormalities in frontal chest radiographs. Standard two-class classifiers and recently developed one-class classifiers are considered. The one-class problem is to find the best model of the normal class and...
conference paper 2006
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Calana, Y.P. (author), Cheplygina, V.V. (author), Duin, R.P.W. (author), Garcia-Reyes, E. (author), Orozco-Alzate, M. (author), Tax, D.M.J. (author), Loog, M. (author)
Nearest-neighbor (NN) classification has been widely used in many research areas, as it is a very intuitive technique. As long as we can defined a similarity or distance between two objects, we can apply NN, therefore making it suitable even for non-vectorial data such as graphs. An alternative to NN is the dissimilarity space [2], where...
conference paper 2013
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Tax, D.M.J. (author)
In pattern recognition and data analysis, objects or events are often represented by a feature vector with a fixed length. For some applications this is a severe limitation, and extensions have been proposed. One approach is Multiple-Instance Learning (MIL). Here, objects are represented by a collection of feature vectors (called a bag) and a...
conference paper 2012
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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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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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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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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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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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Çetinay Iyicil, H. (author), Kekec, I.T. (author), Kuipers, F.A. (author), Tax, D.M.J. (author)
Many countries aim to integrate a substantial amount of wind energy in the near future. This requires meticulous planning, which is challenging due to the uncertainty in wind profiles. In this paper, we propose a novel framework to discover and investigate those geographic areas that are well suited for building wind farms. We combine the key...
conference paper 2017
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Guédon, A.C.P. (author), Paalvast, M. (author), Meeuwsen, F.C. (author), Tax, D.M.J. (author), van Dijke, A.P. (author), Wauben, L.S.G.L. (author), Van Der Elst, M. (author), Dankelman, J. (author), van den Dobbelsteen, J.J. (author)
Efficiency in the Operating Room (OR) is a topic of growing interest. Planning of care is a crucial element to ensure optimal use of the ORs. Currently, OR scheduling is considered as a complex task based on predictions of surgery duration. The latter are often based on average times, but turn out to be inaccurate in practice because of...
conference paper 2015
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Hajizadeh, S. (author), Nunez, Alfredo (author), Tax, D.M.J. (author)
Rail defect detection by video cameras has recently gained much attention in both<br/>academia and industry. Rail image data has two properties. It is highly imbalanced towards the non-defective class and it has a large number of unlabeled data samples available for semisupervised learning techniques. In this paper we investigate if positive...
conference paper 2016
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Tan, S. (author), Tax, D.M.J. (author), Hung, H.S. (author)
This paper presents a model for head and body pose estimation (HBPE) when labelled samples are highly sparse. The current state-of-the-art multimodal approach to HBPE utilizes the matrix completion method in a transductive setting to predict pose labels for unobserved samples. Based on this approach, the proposed method tackles HBPE when...
conference paper 2018
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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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Tax, D.M.J. (author)
doctoral thesis 2001
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Tax, C.M.W. (author), Duits, R. (author), Vilanova, A. (author), Ter Haar Romeny, B.M. (author), Hofman, P. (author), Wagner, L. (author), Leemans, A. (author), Ossenblok, P. (author)
Diffusion MRI and tractography allow for investigation of the architectural configuration of white matter in vivo, offering new avenues for applications like presurgical planning. Despite the promising outlook, there are many pitfalls that complicate its use for (clinical) application. Amongst these are inaccuracies in the geometry of the...
journal article 2014
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Rijlaarsdam, M.A. (author), Tax, D.M.J. (author), Gillis, A.J.M. (author), Dorssers, L.C.J. (author), Koestler, D.C. (author), De Ridder, J. (author), Looijenga, L.H.J. (author)
The cell of origin of the five subtypes (I-V) of germ cell tumors (GCTs) are assumed to be germ cells from different maturation stages. This is (potentially) reflected in their methylation status as fetal maturing primordial germ cells are globally demethylated during migration from the yolk sac to the gonad. Imprinted regions are erased in the...
journal article 2015
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Veenman, C.J. (author), Tax, D.M.J. (author)
journal article 2005
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Hashemi, H. (author), Tax, D.M.J. (author), Duin, R.P.W. (author), Javaherian, A. (author), De Groot, P. (author)
Seismic object detection is a relatively new field in which 3-D bodies are visualized and spatial relationships between objects of different origins are studied in order to extract geologic information. In this paper, we propose a method for finding an optimal classifier with the help of a statistical feature ranking technique and combining...
journal article 2008
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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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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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