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Liscio, E. (author)Human values are the abstract motivations that drive our opinions and actions. AI agents ought to align their behavior with our value preferences (the relative importance we ascribe to different values) to co-exist with us in our society. However, value preferences differ across individuals and are dependent on context. To reflect diversity in...doctoral thesis 2024
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Meng, Zeng (author), Kong, Lin (author), Jiaxiang, Y. (author), Peng, Hao (author)This paper proposes a new active learning method named as optimum-pursuing method (OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for solving constrained optimization and reliability-based design optimization (RBDO) problems with low computation cost. It uses the cheap Kriging metamodel to replace the...journal article 2024
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Viering, T.J. (author)This dissertation focuses on safety in machine learning. Our adopted safety notion is related to robustness of learning algorithms. Related to this concept, we touch upon three topics: explainability, active learning and learning curves.<br/><br/>Complex models can often achieve better performance compared to simpler ones. Such larger models are...doctoral thesis 2023
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Ren, Chao (author), Tan, J. (author), Xing, Yihan (author)Wave energy is considered one of the most potential renewable energy. In the last two decades, many wave energy converters (WECs) have been designed to harvest energy from the ocean. Different power take-off systems are developed to maximize the power generation of WECs. However, the estimation of the power matrix of the WECs and annual power...journal article 2023
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Sayin, Burcu (author), Yang, J. (author), Passerini, Andrea (author), Casati, Fabio (author)In many practical applications, machine learning models are embedded into a pipeline involving a human actor that decides whether to trust the machine prediction or take a default route (e.g., classify the example herself). Selective classifiers have the option to abstain from making a prediction on an example they do not feel confident about...conference paper 2023
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Celemin, Carlos (author), Kober, J. (author)In order to deploy robots that could be adapted by non-expert users, interactive imitation learning (IIL) methods must be flexible regarding the interaction preferences of the teacher and avoid assumptions of perfect teachers (oracles), while considering they make mistakes influenced by diverse human factors. In this work, we propose an IIL...journal article 2023
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van Loenen, B. (author), Ploeger, H.D. (author), van Everdingen, N.A.L. (author), Cuervo, Kristian (author), Monahan, Jessica (author), Pille, Julia (author), Verhaeghe, Carmel (author)A new active teaching and learning approach has been implemented in the BSc course Open Urban Data Governance.. This course is part of the minor Spatial Computing for Digital Twinning in the Bachelor of Architecture, Urbanism and Building Sciences at the Faculty of Architecture and The Built Environment, TU Delft, and offered TU wide as an...conference paper 2023
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Peschl, M. (author), Zgonnikov, A. (author), Oliehoek, F.A. (author), Cavalcante Siebert, L. (author)Inferring reward functions from demonstrations and pairwise preferences are auspicious approaches for aligning Reinforcement Learning (RL) agents with human intentions. However, state-of-the art methods typically focus on learning a single reward model, thus rendering it difficult to trade off different reward functions from multiple experts. We...conference paper 2022
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Welle Donker, F.M. (author), van Loenen, B. (author), Kessler, Carsten (author), Küppers, Natalie (author), Panek, Mark (author), Mansourian, Ali (author), Zhao, Pengxiang (author), Vancauwenberghe, Glenn (author), Tomić, Hrvoje (author), Kević, Karlo (author)The new concept of Open Spatial Data Infrastructures (Open SDIs) has emerged from an increased interest in open data initiatives together with national and international directives, such as the EU Open Data Directive (Directive (EU) 2019/1024), and the large investment of European public authorities in developing SDIs for sharing spatial data...conference paper 2022
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Welle Donker, F.M. (author), van Loenen, B. (author), Poslončec Petrić, Vesna (author)There is an increasing need for spatial data to be used for informed decision-making and as a resource for developing innovative products and services. A Spatial Data Infrastructure (SDI) facilitates access to and sharing of spatial data by providing a framework in which technical and non-technical aspects are established. Traditionally, SDIs...abstract 2022
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Hardebolle, Cécile (author), Verma, H. (author), Tormey, Roland (author), Deparis, Simone (author)Background: Research shows that active pedagogies could play an important role in achieving more equitable outcomes for diverse groups of students in Science, Technology, Engineering, and Mathematics (STEM). Although flipped classes are a popular active methodology, there is a lack of high-quality studies assessing their impact in...journal article 2022
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Yang, Yazhou (author), Loog, M. (author)Though much effort has been spent on designing new active learning algorithms, little attention has been paid to the initialization problem of active learning, i.e., how to find a set of labeled samples which contains at least one instance per category. This work identifies the initialization of active learning as a separate and novel...journal article 2022
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Kola, I. (author), Isufaj, R. (author), Jonker, C.M. (author)Personal values represent what people find important in their lives, and are key drivers of human behavior. For this reason, support agents should provide help that is aligned with the personal values of the users. To do this, the support agent not only should know the value preferences of the user, but also how different situations in the...conference paper 2022
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Pitz, Natalie (author), Schulze Althoff, Jan (author), Welle Donker, F.M. (author), van Loenen, B. (author), Vancauwenberghe, G. (author), Mansourian, Ali (author), Zhao, Pengxiang (author), Kević, Karlo (author), Tomić, Hrvoje (author)This report looks at different methods of active teaching and learning and the application of these methods at the partner universities of the SPIDER project. Different methods of on-campus and online teaching are presented and reports on experiences in their application at the partner universities are discussed. In combination with the results...report 2021
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Mansourian, Ali (author), Zhao, Pengxiang (author), Kessler, Carsten (author), Küppers, Natalie (author), Vancauwenberghe, Glenn (author), Lacroix, Lisa (author), Welle Donker, F.M. (author), van Loenen, B. (author), Tomić, Hrvoje (author), Kević, Karlo (author)This report presents showcases of active teaching and learning in spatial data infrastructure education in the SPIDER partner universities. It includes detailed descriptions of the practices that have been implemented, as well as the results of the evaluation of the practices from an active teaching learning perspective.report 2021
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Rocha, I.B.C.M. (author), Kerfriden, P. (author), van der Meer, F.P. (author)Concurrent multiscale finite element analysis (FE<sup>2</sup>) is a powerful approach for high-fidelity modeling of materials for which a suitable macroscopic constitutive model is not available. However, the extreme computational effort associated with computing a nested micromodel at every macroscopic integration point makes FE<sup>2</sup>...journal article 2021
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Sayin, Burcu (author), Krivosheev, Evgeny (author), Yang, J. (author), Passerini, Andrea (author), Casati, Fabio (author)Training data creation is increasingly a key bottleneck for developing machine learning, especially for deep learning systems. Active learning provides a cost-effective means for creating training data by selecting the most informative instances for labeling. Labels in real applications are often collected from crowdsourcing, which engages...journal article 2021
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Teixeira, Rui (author), Nogal Macho, M. (author), O'Connor, Alan (author), Martinez-Pastor, Beatriz (author)Reliability assessment with adaptive Kriging has gained notoriety due to the Kriging capability of accurately replacing the performance function while performing as a self-improving function for learning procedures. Recent works on adaptive Kriging pursued to improve the efficiency of the active learning through the application of distinct...journal article 2020
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Das, Bishwadeep (author), Isufi, E. (author), Leus, G.J.T. (author)Diffusion-based semi-supervised learning on graphs consists of diffusing labeled information of a few nodes to infer the labels on the remaining ones. The performance of these methods heavily relies on the initial labeled set, which is either generated randomly or using heuristics. The first sometimes leads to unsatisfactory results because...conference paper 2020
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Franzese, G. (author), Celemin, Carlos (author), Kober, J. (author)In Learning from Demonstrations, ambiguities can lead to bad generalization of the learned policy. This paper proposes a framework called Learning Interactively to Resolve Ambiguity (LIRA), that recognizes ambiguous situations, in which more than one action have similar probabilities, avoids a random action selection, and uses the human...journal article 2020
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