| ESG information extraction with cross-sectoral and multi-source adaptation based on domain-tuned language models J Lee, M Kim Expert Systems with Applications 221, 119726, 2023 | 29 | 2023 |
| Semi-supervised learning for an improved diagnosis of COVID-19 in CT images CH Han, M Kim, JT Kwak PLoS One 16 (4), e0249450, 2021 | 26 | 2021 |
| Stock price prediction through sentiment analysis of corporate disclosures using distributed representation M Kim, EL Park, S Cho Intelligent Data Analysis 22 (6), 1395-1413, 2018 | 21 | 2018 |
| Virtual metrology for copper-clad laminate manufacturing M Kim, S Kang, J Lee, H Cho, S Cho, JS Park Computers & Industrial Engineering 109, 280-287, 2017 | 21 | 2017 |
| Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application H Kim, HK Kim, M Kim, J Park, S Cho, KB Im, CR Ryu Computers & Industrial Engineering 130, 272-281, 2019 | 16 | 2019 |
| A data mining framework for financial prediction M Kim Expert Systems with Applications 173, 114651, 2021 | 15 | 2021 |
| Accurate and prompt answering framework based on customer reviews and question-answer pairs E Kim, H Yoon, J Lee, M Kim Expert Systems with Applications, 2022 | 14 | 2022 |
| Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking T Kim, H Yoon, Y Lee, P Kang, M Kim Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 10 | 2022 |
| Adaptive trading system integrating machine learning and back-testing: Korean bond market case M Kim Expert Systems with Applications 176, 114767, 2021 | 10 | 2021 |
| Detecting documents with inconsistent context D Jung, M Kim, YS Cho IEEE Access 10, 98970-98980, 2022 | 6 | 2022 |
| Detecting incongruent news headlines with auxiliary textual information J Jang, YS Cho, M Kim, M Kim Expert Systems with Applications 199, 116866, 2022 | 6 | 2022 |
| Monetary policy document analysis for prediction of monetary policy board decision M Kim, S Cho Heliyon, 2023 | 4 | 2023 |
| A simple and efficient dialogue generation model incorporating commonsense knowledge G Son, M Kim Expert Systems with Applications 249, 123584, 2024 | 3 | 2024 |
| Domain-slot relationship modeling using a pre-trained language encoder for multi-domain dialogue state tracking J An, S Cho, J Bang, M Kim IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2091-2102, 2022 | 3 | 2022 |
| Oh my mistake!: Toward realistic dialogue state tracking including turnback utterances T Kim, Y Lee, H Yoon, P Kang, J Bang, M Kim arXiv preprint arXiv:2108.12637, 2021 | 3 | 2021 |
| Dstea: Improving dialogue state tracking via entity adaptive pre-training Y Lee, T Kim, H Yoon, P Kang, J Bang, M Kim Knowledge-Based Systems 290, 111542, 2024 | 2 | 2024 |
| Headline Token-based Discriminative Learning for Subheading Generation in News Article J Jang, M Kim Findings of the Association for Computational Linguistics: EACL 2023, 2128-2135, 2023 | 2 | 2023 |
| Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents J Lee, J Jang, M Kim Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
| Dialogue specific pre-training tasks for improved dialogue state tracking J An, M Kim Neural Processing Letters 55 (6), 7761-7776, 2023 | 1 | 2023 |
| METHOD AND APPARATUS FOR GENERATING CHEMICAL STRUCTURE USING NEURAL NETWORK KD Kim, Y Kwon, M Kim, J Yoo, YS Choi KR Patent App. 10-2018-0,098,373, 2020 | 1* | 2020 |
sungzoon choSeoul National UniversityVerified email at snu.ac.kr
