2.9k citations
- The University of TokyoJP171 papers
- The Graduate University for Advanced Studies, SOKENDAIJP129 papers
- NTT Basic Research LaboratoriesJP96 papers
- Stanford UniversityUS80 papers
- Japan Science and Technology AgencyJP63 papers
- NTT (Japan)JP60 papers
- Centre National de la Recherche ScientifiqueFR55 papers
- New York UniversityUS49 papers
- New York University ShanghaiCN49 papers
- Hewlett-Packard (United Kingdom)GB41 papers
- East China Normal UniversityCN38 papers
- Japanese-French Laboratory for InformaticsJP38 papers
1,134 papers
Multi-bounce Drum Roll with Optimized Active Tricks to Leverage Soft Embodiment
Naoto Yamanaka, Takanori Jin, Taisuke Kobayashi
This paper presents a soft robotic drummer for accurate and efficient drum rolls. High-frequency drum rolls require the "multi-bounce technique," where a drumstick bounces multiple…
Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?
Fumiaki Kimino, Ryoma Sato
Graph neural networks (GNNs) are widely used to represent complex interactions and relationships among entities. We investigate a multimodal model that combines two complementary i…
Improving Mobile User Interface Testing with Model Driven Monkey Search
Jordan Doyle, Takfarinas Saber, Paolo Arcaini +1
Testing mobile applications often relies on tools, such as Exerciser Monkey for Android systems, that simulate user input. Exerciser Monkey, for example, generates random events (e…
Modelling Android applications through static analysis and systematic exploratory testing
Jordan Doyle, Thomas Laurent, Anthony Ventresque
Mobile application development is a fast paced industry with frequent releases. While the development pace increases, so too does the need for automated test generation. Model-base…
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, c…
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of chest CT volumes based on likelihood of COVID-19 cases. Novel coronavirus disease 2019 (COVID-19) spreads over the world,…