4 citations · 6 across the 6 of their papers we have counts for
6 papers
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL
Qingxin Xia, Takuya Maekawa, Jaime Morales +4
In this study, we investigate a new self-supervised learning (SSL) approach for complex work activity recognition using wearable sensors. Owing to the cost of labeled sensor data c…
Fast Algorithm for Embedded Order Dependency Validation (Extended Version)
Alejandro Ramos, Takuya Uemura, Daichi Amagata +2
Order Dependencies (ODs) have many applications, such as query optimization, data integration, and data cleaning. Although many works addressed the problem of discovering OD (and i…
Organized Event Participant Prediction Enhanced by Social Media Retweeting Data
Yihong Zhang, Takahiro Hara
Nowadays, many platforms on the Web offer organized events, allowing users to be organizers or participants. For such platforms, it is beneficial to predict potential event partici…
Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT
Qingxin Xia, Takuya Maekawa, Takahiro Hara
Wearable sensor devices, which offer the advantage of recording daily objects used by a person while performing an activity, enable the feasibility of unsupervised Human Activity R…
Learned k-NN Distance Estimation
Daichi Amagata, Yusuke Arai, Sumio Fujita +1
Big data mining is well known to be an important task for data science, because it can provide useful observations and new knowledge hidden in given large datasets. Proximity-based…
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach
Daichi Amagata, Takahiro Hara
Clustering multi-dimensional points is a fundamental task in many fields, and density-based clustering supports many applications as it can discover clusters of arbitrary shapes. T…