DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing T Gong, Y Kim, A Orzikulova, Y Liu, SJ Hwang, J Shin, SJ Lee arXiv preprint arXiv:2111.11053, 2021 | 4 | 2021 |
FinerMe: Examining App-level and Feature-level Interventions to Regulate Mobile Social Media Use A Orzikulova, H Cho, HY Chung, H Hong, U Lee, SJ Lee Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-30, 2023 | 3 | 2023 |
Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention A Orzikulova, H Xiao, Z Li, Y Yan, Y Wang, Y Shi, M Ghassemi, SJ Lee, ... Proceedings of the 2024 CHI conference on human factors in computing systems …, 2024 | 2 | 2024 |
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing T Gong, Y Kim, A Orzikulova, Y Liu, SJ Hwang, J Shin, SJ Lee Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 2 | 2023 |
Modeling structural dissimilarity based on shape embodiment for cell segmentation HG Lee, A Orzikulova, BG Park, SC Lee 2017 IEEE International Conference on Image Processing (ICIP), 3844-3848, 2017 | 2 | 2017 |
Time-bound Contextual Bio-ID Generation for Minimalist Wearables A Orzikulova, DA Vasile, F Kawsar, C Min arXiv preprint arXiv:2403.00889, 2024 | 1 | 2024 |
App-and feature-level smartphone interventions to reduce time spent in mobile social media applications A Orzikulova 한국과학기술원, 2022 | | 2022 |
AUDIO-BASED MULTI-LABEL MOOD RECOGNITION USING DATA AUGMENTATION Q Chen, A Orzikulova | | |