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Septentrio Conference Series, 2020 First year architecture students are introduced to the library by taking part in an “Escape Room” activity in the KTH library. The aim of this initiative is to introduce the students to the library space and the library's resources in an interactive and playful way and to enable them to learn and reflect upon their learning within the frame of an ...
Lenita Brodin Berggren, Ika Jorum
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Active Function Learning [PDF]
, 2018 AbstractHow do people actively explore to learn about functional relationships, that is, how continuous inputs map onto continuous outputs? We introduce a novel paradigm to investigate information search in continuous, multi-feature function learning scenarios.
Jones, Angela +3 more
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Variational Adversarial Active Learning [PDF]
IEEE International Conference on Computer Vision, 2019 Active learning aims to develop label-efficient algorithms by sampling the most representative queries to be labeled by an oracle. We describe a pool-based semi-supervised active learning algorithm that implicitly learns this sampling mechanism in an ...
Samarth Sinha +2 more
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How to measure uncertainty in uncertainty sampling for active learning
Machine-mediated learning, 2021 Various strategies for active learning have been proposed in the machine learning literature. In uncertainty sampling, which is among the most popular approaches, the active learner sequentially queries the label of those instances for which its current ...
Eyke Hüllermeier
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Eating habits matter for sleep difficulties in children and adolescents: A cross-sectional study
Frontiers in Pediatrics, 2023 BackgroundSleep difficulties are a common sleep-related problem among children and adolescents. However, the association between eating habits and sleep difficulties has not been extensively studied.
Yaping Zhao +5 more
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MCDAL: Maximum Classifier Discrepancy for Active Learning [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Recent state-of-the-art active learning methods have mostly leveraged generative adversarial networks (GANs) for sample acquisition; however, GAN is usually known to suffer from instability and sensitivity to hyperparameters. In contrast to these methods,
Jae-Won Cho +3 more
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Learning User's Confidence for Active Learning [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2013 In this paper, we study the applicability of active learning in operative scenarios: more particularly, we consider the well-known contradiction between the active learning heuristics, which rank the pixels according to their uncertainty, and the user's confidence in labeling, which is related to both the homogeneity of the pixel context and user's ...
Tuia Devis, Munoz-Mari Jordi
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Proceedings of the National Academy of Sciences of the United States of America, 2020 Significance Achievement gaps increase income inequality and decrease workplace diversity by contributing to the attrition of underrepresented students from science, technology, engineering, and mathematics (STEM) majors. We collected data on exam scores
Elli J. Theobald +32 more
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Cogent Psychology, 2020 Disappointment in interpersonal relationships may arise from a gap between the intentions and actions or perceptions that each person has of their own intentions and actions and those of others (Intention and Behaviour Gap). This gap can originate from: (
Carlos A. Raimundo
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Approaching physically active learning as a multi, inter, and transdisciplinary research field
Frontiers in Sports and Active Living, 2023 In broad terms, physically active learning is a phenomenon that combines health and educational disciplines to integrate physical activity and core educational goals.
Mathias Brekke Mandelid +1 more
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