108 citations
- The University of OsakaJP10 papers
- Agency for Science, Technology and ResearchSG1 paper
- Donostia International Physics CenterES1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Freie Universität BerlinDE1 paper
- Fujitsu (Japan)JP1 paper
- Helmholtz-Zentrum Berlin für Materialien und EnergieDE1 paper
- Hokkaido UniversityJP1 paper
- IkerbasqueES1 paper
- Institute of Materials Research and EngineeringSG1 paper
- Leibniz Institute for Solid State and Materials ResearchDE1 paper
- Nara Women's UniversityJP1 paper
12 papers
Atomically Thin Amorphous Carbon with an Ultralow Dielectric Constant
Chee-Tat Toh, Artem K. Grebenko, Ugur Karadeniz +17
Two-dimensional (2D) materials exhibit excellent properties at monolayer thickness and are viable replacements for various microelectronic components as scaling gradually approache…
Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso
Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara +1
With the rapid development of web services, large amounts of time series data are generated and accumulated across various domains such as finance, healthcare, and online platforms…
Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams
Soshi Kakio, Yasuko Matsubara, Ren Fujiwara +1
Analysis and anomaly detection in event tensor streams consisting of timestamps and multiple attributes - such as communication logs(time, IP address, packet length)- are essential…
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata +2
Large quantities of social activity data, such as weekly web search volumes and the number of new infections with infectious diseases, reflect peoples' interests and activities. It…
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
Kota Nakamura, Koki Kawabata, Shungo Tanaka +2
Cybersecurity systems are continuously producing a huge number of time-stamped events in the form of high-order tensors, such as {count; time, port, flow duration, packet size, . .…
Modeling Time-evolving Causality over Data Streams
Naoki Chihara, Yasuko Matsubara, Ren Fujiwara +1
Given an extensive, semi-infinite collection of multivariate coevolving data sequences (e.g., sensor/web activity streams) whose observations influence each other, how can we disco…