Searched for: subject:"Learning"
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van Zoelen, E.M. (author), van den Bosch, K. (author), Neerincx, M.A. (author)
A team develops competency by progressive mutual adaptation and learning, a process we call co-learning. In human teams, partners naturally adapt to each other and learn while collaborating. This is not self-evident in human-robot teams. There is a need for methods and models for describing and enabling co-learning in human-robot partnerships....
conference paper 2021
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Phillipson, F. (author), Wezeman, R.S (author), Chiscop, I. (author)
There is a growing trend in using machine learning techniques for detecting environmental context in communication networks. Machine learning is one of the promising candidate areas where quantum computing can show a quantum advantage over their classical algorithmic counterpart on near term Noisy Intermediate-Scale Quantum (NISQ) devices. The...
conference paper 2021
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Deng, T. (author), Manders-Groot, A.M.M. (author), Segers, A.J. (author), Bai, Y. (author), Lin, H.Q. (author)
Tropospheric ozone is a secondary pollutant which can affect human health and plant growth. In this paper, we investigated transferred convolutional neural network long short-term memory (TL-CNN-LSTM) model to predict ozone concentration. Hourly CNN-LSTM model is used to extract features and predict ozone for next hour, which is superior to...
conference paper 2021
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Burghouts, G.J. (author), Hillerström, F.H.J. (author)
Current object recognition techniques are based on deep learning and require substantial training samples in order to achieve a good performance. Nonetheless, there are many applications in which no (or only a few) training images of the targets are available, whilst they are well-known by domain experts. Zero-shot learning is used in use cases...
conference paper 2021
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van Gulijk, C. (author), Zaitseva, E. (author)
Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas...
book 2021
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Schoonderwoerd, T.A.J. (author), Jorritsma, W. (author), Neerincx, M.A. (author), van den Bosch, K. (author)
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transparency of machine learning models. More recently, the focus on human-centered approaches to XAI has increased. Yet, there is a lack of practical methods and examples on the integration of human factors into the development processes of AI-generated...
article 2021
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Veugen, P.J.M. (author), Kamphorst, B (author), van de L'Isle, N. (author), van Egmond, M.B. (author)
We show how multiple data-owning parties can collabora tively train several machine learning algorithms without jeopardizing the privacy of their sensitive data. In particular, we assume that every party knows specific features of an overlapping set of people. Using a secure implementation of an advanced hidden set intersection protocol and a...
conference paper 2021
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Neumann, N.M.P. (author)
conference paper 2021
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Arora, A. (author), Dimitrovski, T. (author), Litjens, R. (author), Zhang, H. (author)
conference paper 2021
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Chiscop, I. (author), Gazdag, A. (author), Bosman, J. (author), Biczók, G. (author)
Multiple attacks have shown that in-vehicle networks have vulnerabilities which can be exploited. Securing the Controller Area Network (CAN) for modern vehicles has become a necessary task for car manufacturers. Some attacks inject potentially large amount of fake messages into the CAN network; however, such attacks are relatively easy to detect...
conference paper 2021
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Santhakumar, S. (author), Meerman, J.C. (author), Faaij, A.P.C. (author)
This article reviews experience curve applications in energy technology studies to illustrate best practices in analyzing technological learning. Findings are then applied to evaluate future performance projections of three emerging offshore energy technologies, namely, offshore wind, wave & tidal, and biofuel production from seaweed. Key...
article 2021
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Neumann, N.M.P. (author), van Heesch, M.P.P. (author), Phillipson, F. (author), Smallegange, A.A.P. (author)
Quantum computers have the potential to outshine classical alternatives in solving specific problems, under the assumption of mature enough hardware. A specific subset of these problems relate to military applications. In this paper we consider the state-of-the-art of quantum technologies and different applications of this technology....
conference paper 2021
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de Greeff, J. (author), de Boer, M.H.T. (author), Hillerström, F.H.J. (author), Bomhoff, F.W. (author), Jorritsma, W. (author), Neerinx, M. (author)
AI tools are becoming more commonly used in a variety of application domains. In this paper, we describe a system named FATE that combines state of the art AI tools. The goal of the FATE system is decision support with use of ongoing human-AI co-learning, explainable AI and fair, bias-free and secure usage of data. These topics are societally...
conference paper 2021
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Huizing, A. (author), Veenman, C.J. (author), Neerincx, M. (author), Dijk, J. (author)
In recent years, AI based on deep learning has achieved tremendous success in specialized tasks such as speech recognition, machine translation, and the detection of tumors in medical images. Despite these successes there are also some clear signs of the limitations of the current state-of-the-art in AI. For example, biases in AI-enabled face...
conference paper 2021
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Schouten, D.G.M. (author), Massink, P. (author), Donker, S.F. (author), Neerincx, M.A. (author), Cremers, A.H.M. (author)
In this study, we attempt to specify the cognitive support behavior of a previously designed embodied conversational agent coach that provides learning support to low-literates. Three knowledge gaps are identified in the existing work: an incomplete specification of the behaviors that make up ‘support,’ an incomplete specification of how this...
article 2021
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Madhuanand, L. (author), Sadavarte, P. (author), Visschedijk, A.J.H. (author), Denier van der Gon, H.A.C. (author), Aben, I. (author), Osei, F.B. (author)
article 2021
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Dalla Longa, F. (author), Sweerts, B. (author), van der Zwaan, B.C.C. (author)
Energy poverty is receiving increased attention in developed countries like the Netherlands. Although it only affects a relatively small share of the population, it constitutes a stern challenge that is hard to quantify and monitor, hence difficult to effectively tackle through adequate policy measures. In this paper we introduce a framework to...
article 2021
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Araujo, M. (author), van Dommelen, P. (author), Koledova, E.B. (author), Srivastava, J. (author)
The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatments. Here we show a methodology to predict, at individual-level, future therapy adherence for patients receiving daily injections of growth hormone (GH) therapy for GH deficiency. Our proposed model...
article 2021
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van Baardewijk, J.U. (author), Agarwal, S. (author), Cornelissen, A.S. (author), Joosen, M.J.A. (author), Kentrop, J. (author), Varon, C. (author), Brouwer, A.M. (author)
Early detection of exposure to a toxic chemical, e.g., in a military context, can be life-saving. We propose to use machine learning techniques and multiple continuously measured physiological signals to detect exposure, and to identify the chemical agent. Such detection and identification could be used to alert individuals to take appropriate...
article 2021
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Kaptein, F. (author), Broekens, J. (author), Hindriks, K. (author), Neerincx, M.A. (author)
Current developments in Artificial Intelligence (AI) led to a resurgence of Explainable AI (XAI). New methods are being researched to obtain information from AI systems in order to generate explanations for their output. However, there is an overall lack of valid and reliable evaluations of the effects on users' experience of, and behavior in...
article 2021
Searched for: subject:"Learning"
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