| An Empirical Study on Short-and Long-term Effects of Self-correction in Crowdsourced Microtasks M Kobayashi, H Morita, M Matsubara, N Shimizu, A Morishima Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (1), 2018 | 25 | 2018 |
| Human+ AI Crowd Task Assignment Considering Result Quality Requirements M Kobayashi, K Wakabayashi, A Morishima Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021 | 8 | 2021 |
| A System for Worldwide COVID-19 Information Aggregation A Aizawa, F Bergeron, J Chen, F Cheng, K Hayashi, K Inui, H Ito, ... arXiv preprint arXiv:2008.01523, 2020 | 8 | 2020 |
| Quality-aware Dynamic Task Assignment in Human+ AI Crowd M Kobayashi, K Wakabayashi, A Morishima Companion Proceedings of the Web Conference 2020, 118-119, 2020 | 7 | 2020 |
| A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction M Matsubara, M Kobayashi, A Morishima 2018 IEEE International Conference on Big Data (Big Data), 3522-3528, 2018 | 6 | 2018 |
| Time-Cost Estimation for Early Disaster Damage Assessment Methods, Depending on Affected Area M Inoguchi, K Tamura, K Uo, M Kobayashi, A Morishima Journal of Disaster Research 16 (4), 733-746, 2021 | 4 | 2021 |
| Validation of CyborgCrowd Implementation Possibility for Situation Awareness in Urgent Disaster Response-Case Study of International Disaster Response in 2019 M Inoguchi, K Tamura, K Uo, M Kobayashi 2020 IEEE International Conference on Big Data (Big Data), 3062-3071, 2020 | 4 | 2020 |
| Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks M Kobayashi, H Morita, M Matsubara, N Shimizu, A Morishima Human Computation 8, 2021 | 3 | 2021 |
| HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers Y Yamashita, H Ito, K Wakabayashi, M Kobayashi, A Morishima Proceedings of the 14th ACM Web Science Conference 2022, 118-128, 2022 | 1 | 2022 |
| Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study M Hayashi, M Kobayashi, M Matsubara, T Amagasa, A Morishima 2019 IEEE International Conference on Big Data (Big Data), 4596-4601, 2019 | 1 | 2019 |
| Efficient Crowdsourcing for Semantic Segmentation Considering Human Cognitive Characteristics M Kobayashi, H Morita, A Morishima International Conference on Human-Computer Interaction, 300-307, 2022 | | 2022 |
| 人間+AI Crowdの相互作用によるタスク結果品質の管理手法 森嶋厚行小林正樹，若林啓， 日本データベース学会和文論文誌 20 (2), 8, 2022 | | 2022 |
| Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information Y Zhong, M Kobayashi, M Matsubara, A Morishima 2021 IEEE International Conference on Big Data (Big Data), 3580-3583, 2021 | | 2021 |
| Dynamic Worker-Task Assignment for High-Quality Task Results with ML Workers Y Yamashita, M Kobayashi, K Wakabayashi, A Morishima | | 2020 |
| Active Learning Strategies for Hierarchical Labeling Microtasks K Uo, M Kobayashi, M Matsubara, Y Baba, A Morishima 2019 IEEE International Conference on Big Data (Big Data), 4647-4650, 2019 | | 2019 |
| 人間+ AI クラウドにおけるマイクロタスク処理の効率化 小林正樹， 若林啓， 森嶋厚行 WebDB Forum 2019 論文集 2019, 5-8, 2019 | | 2019 |
| 調理手順の頻出パターンに基づく入力支援手法の提案 小林正樹， 伏見卓恭， 佐藤哲司 電子情報通信学会技術研究報告; 信学技報 115 (230), 53-57, 2015 | | 2015 |
