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- Kyoto UniversityJP15 papers
- The University of TokyoJP14 papers
- Tokyo Institute of TechnologyJP7 papers
- University of TsukubaJP6 papers
- National Institute of Advanced Industrial Science and TechnologyJP5 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Institut polytechnique de GrenobleFR3 papers
- Japan Atomic Energy AgencyJP3 papers
- Kyoto College of Graduate Studies for InformaticsJP3 papers
- Kyushu UniversityJP3 papers
- Nara Institute of Science and TechnologyJP3 papers
5 papers · 1 filter
Qualitative Approaches to Voice UX
Katie Seaborn, Jacqueline Urakami, Peter Pennefather +1
Voice is a natural mode of expression offered by modern computer-based systems. Qualitative perspectives on voice-based user experiences (voice UX) offer rich descriptions of compl…
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
Mingzhe Yang, Hiromi Arai, Naomi Yamashita +1
Teaching unbiased decision-making is crucial for addressing biased decision-making in daily life. Although both raising awareness of personal biases and providing guidance on unbia…
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada +11
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However,…
Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
Jongyeong Lee, Junya Honda, Shinji Ito +1
This paper studies the optimality of the Follow-the-Perturbed-Leader (FTPL) policy in both adversarial and stochastic -armed bandits. Despite the widespread use of the Follow-th…
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
To investigate neural network parameters, it is easier to study the distribution of parameters than to study the parameters in each neuron. The ridgelet transform is a pseudo-inver…