Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Sakurai, Yasushi"'
Machine learning has shown great potential in the field of cancer multi-omics studies, offering incredible opportunities for advancing precision medicine. However, the challenges associated with dataset curation and task formulation pose significant
Externí odkaz:
http://arxiv.org/abs/2409.02143
The medical community believes binary medical event outcomes in EHR data contain sufficient information for making a sensible recommendation. However, there are two challenges to effectively utilizing such data: (1) modeling the relationship between
Externí odkaz:
http://arxiv.org/abs/2408.09410
The Transformer model has shown leading performance in time series forecasting. Nevertheless, in some complex scenarios, it tends to learn low-frequency features in the data and overlook high-frequency features, showing a frequency bias. This bias pr
Externí odkaz:
http://arxiv.org/abs/2406.09009
The advent of generative AI tools has had a profound impact on societies globally, transcending geographical boundaries. Understanding these tools' global reception and utilization is crucial for service providers and policymakers in shaping future p
Externí odkaz:
http://arxiv.org/abs/2405.20037
Subsequence clustering of time series is an essential task in data mining, and interpreting the resulting clusters is also crucial since we generally do not have prior knowledge of the data. Thus, given a large collection of tensor time series consis
Externí odkaz:
http://arxiv.org/abs/2402.11773
Precision medicine fundamentally aims to establish causality between dysregulated biochemical mechanisms and cancer subtypes. Omics-based cancer subtyping has emerged as a revolutionary approach, as different level of omics records the biochemical pr
Externí odkaz:
http://arxiv.org/abs/2308.09725
Autor:
Nakamura, Kota, Matsubara, Yasuko, Kawabata, Koki, Umeda, Yuhei, Wada, Yuichiro, Sakurai, Yasushi
Given a huge, online stream of time-evolving events with multiple attributes, such as online shopping logs: (item, price, brand, time), and local mobility activities: (pick-up and drop-off locations, time), how can we summarize large, dynamic high-or
Externí odkaz:
http://arxiv.org/abs/2303.03789
Social media has been a paramount arena for election campaigns for political actors. While many studies have been paying attention to the political campaigns related to partisanship, politicians also can conduct different campaigns according to their
Externí odkaz:
http://arxiv.org/abs/2301.07282
Large quantifies of online user activity data, such as weekly web search volumes, which co-evolve with the mutual influence of several queries and locations, serve as an important social sensor. It is an important task to accurately forecast the futu
Externí odkaz:
http://arxiv.org/abs/2208.04846