Searched for: subject%3A%22Learning%22
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van Zoelen, E.M. (author), van den Bosch, K. (author), Abbink, D. (author), Neerincx, M.A. (author)
When humans and AI-agents collaborate, they need to continuously learn about each other and the task. We propose a Team Design Pattern that utilizes adaptivity in the behavior of human and agent team partners, causing new Collaboration Patterns to emerge. Human-AI Co-Learning takes place when partners can formalize recognized patterns of...
conference paper 2023
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Snelder, M. (author), Smit, S. (author), Schadd, M. (author), Walraven, E. (author)
Network design problems such as the optimization of road capacities, public transport lines and frequencies, mobility hub locations, shared mobility services and traffic signal settings have been extensively studied in literature using sequential bi-level optimization. However, due to the computational burden, the design and response spaces that...
conference paper 2023
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Stuldreher, I.V. (author), Merasli, A. (author), Thammasan, N. (author), van Erp, J.B.F. (author), Brouwer, A.M. (author)
Research on brain signals as indicators of a certain attentional state is moving from laboratory environments to everyday settings. Uncovering the attentional focus of individuals in such settings is challenging because there is usually limited information about real-world events, as well as a lack of data from the real-world context at hand...
article 2022
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Souto Lima, E. (author), van Stokkum, R. (author), van der Klauw, M. (author), Hooftman, W.E. (author)
Dit rapport bevat een beschrijving van de aanleiding, methoden en resultaten van het project “Machine Learning: A Data Driven Burnout Risk Analysis”, uitgevoerd in het voorjaar van 2019. In dit project zijn moderne machine learning (ML) algoritmes gebruikt om op een data gedreven manier oorzaken te vinden van burn-out symptomen in het...
report 2022
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Bartezzaghi, A. (author), Giurgiu, I. (author), Marchiori, C. (author), Rigotti, M. (author), Sebastian, R. (author), Malossi, C. (author)
conference paper 2022
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Chiscop, I. (author), Soro, F. (author), Smith, P. (author)
Threat hunting and malware prediction are critical activities to ensure network and system security. These tasks are difficult due to increasing numbers of sophisticated malware families. Automatically detecting anomalous Domain Name System (DNS) queries in operational traffic facilitates the detection of new malware infections, significantly...
conference paper 2022
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Peysakhovich, V. (author), Ledegang, W. (author), Houben, M. (author), Groen, E. (author)
Eye movements analysis has great potential for understanding operator behaviour in many safety-critical domains, including aviation. In addition to traditional eye-tracking measures on pilots’ visual behavior, it seems promising to incorporate machine learning approaches to classify pilots’ visual scanning patterns. However, given the multitude...
conference paper 2022
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Schultes, E. (author), Roos, M. (author), Bonino da Silva Santos, L.O. (author), Guizzardi, G. (author), Bouwman, J. (author), Hankemeier, T. (author), Baak, A. (author), Mons, B. (author)
Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine actionable. This methodological overview is a first step toward this clarification. We...
article 2022
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Aslam, K. (author), Hendriks, D. (author)
Applying Model-Driven Engineering can improve development efficiency. But gaining such benefits for legacy software requires models, and creating them manually is both laborious and error prone. Active automata learning has the potential to make it cost-effective, but practitioners face practical challenges applying it to software components of...
conference paper 2022
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van Rooij, S.B. (author), Uysal, F. (author), Papari, G. (author), Kruithof, M.C. (author), Caro Cuenca, M. (author)
Radar systems play a very important role in Space Situational Awareness (SSA) since they are able to provide a wealth of information on remote objects. In particular, imaging radars can characterize space objects using Inverse Synthetic Aperture Radar (ISAR) techniques. Under the right circumstances, ISAR images can provide details of a...
conference paper 2022
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Santos, R.D. (author), Aguilar, J. (author), Rodriguez-Moreno, M.D. (author)
In a smart environment like the smart grids, it is necessary to have knowledge models that allow solving emerging problems. However, large datasets are required to automatically create these models, which in the vast majority of cases are not available. Therefore, in these environments is essential to have a data generator for each context. In...
conference paper 2022
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de Jong, J. (author), Kamphorst, B. (author), Kroes, S. (author)
We present a differentially private extension of the block coordinate descent algorithm by means of objective perturbation. The algorithm iteratively performs linear regression in a federated setting on vertically partitioned data. In addition to a privacy guarantee, we derive a utility guarantee; a tolerance parameter indicates how much the...
article 2022
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Farella, M. (author), Arrigo, M. (author), Tosto, C. (author), Taibi, D. (author), Seta, L. (author), Chifari, A. (author), Goei, S.L. (author), Pronk, J. (author), Mangina, E. (author), Denaro, P. (author), Dhrami, D. (author), Chiazzese, G. (author)
The spread of Augmented Reality (AR) and the recent technological developments, provide innovative techniques and tools that show a growing potential in education. One of the pilots of the European Horizon 2020 project ARETE (Augmented Reality Interactive Educational System) aims to investigate and evaluate for the first time the introduction of...
conference paper 2022
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van den Tooren, M. (author), Steinhoff, M. (author), Huijs, J. (author), in der Maur, M. (author), van der Klauw, M. (author)
Lessons learned from intervention research into labour market discrimination In this essay, we share the lessons learned during the implementation of a large­scale intervention study (Pilot Nudging) in which TNO, together with the Ministry of Social Affairs and Employment (SZW), has studied the ap­plicability, effectiveness and...
article 2022
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Deng, T. (author), Manders, A.M. (author), Jin, J. (author), Lin, H.X. (author)
Ground-level ozone is a critical atmospheric pollutant, and high concentrations of ozone can damage human health, affect plant growth and cause ecological harm. Traditional chemical transport models and popular machine learning models have difficulty in predicting ozone concentrations, especially in times with high concentrations. We proposes a...
article 2022
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Sastry, S. (author), Garg, P. (author), Silvas, E. (author), Willems, F. (author)
Complexity of engine control systems is continuously growing due to an increased number of subsystems and the need for robust performance. For traditional map-based as well as state-of-the-art model-based approaches, this will lead to unacceptable development costs and time for future engines. Parametrization of the embedded models using...
conference paper 2022
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Natali, A. (author), Isufi, E. (author), Coutino Minguez, M.A. (author)
This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the framework renders it model-independent, i.e., it can be theoretically analyzed in its abstract formulation and then instantiated under a variety of model-dependent graph learning problems. This is possible by phrasing (time...
article 2022
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Rooij S.B. van, (author), Bouma, H. (author), van Mil, J.D. (author), ten Hove, R.J.M. (author)
The increasing complexity of security challenges requires Law Enforcement Agencies (LEAs) to have improved analysis capabilities, e.g., with the use of Artificial Intelligence (AI). However, it is challenging to make large enough high-quality training and testing datasets available to the community that is developing AI tools to support LEAs in...
conference paper 2022
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Rozsas, A. (author), Slobbe, A. (author), Huizinga, W. (author), Kruithof, M. (author), ajithkumar Pillai, K. (author), Kleijn, K. (author), Giardina, G. (author)
This paper proposes an automated approach to predict crack pattern similarities that correlate well with assessment by structural engineers. We use Siamese convolutional neural networks (SCNN) that take two crack pattern images as inputs and output scalar similarity measures. We focus on 2D masonry facades with and without openings. The image...
article 2022
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Shahmohammadi, M.S. (author), Parker, L.A. (author), Henke, S. (author), Urbanus, J.H. (author)
Microplastics are a growing environmental and toxicological concern, having been found in the remotest locations of the earth and within multiple organs of the human body. However, the scale of the problem is not yet fully known as the smallest micro- and nanoplastics (MNPs) cannot accurately be measured due to limitations in measurement and...
article 2022
Searched for: subject%3A%22Learning%22
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