Striving to earn more: a survey of work strategies and tool use among crowd workers T Kaplan, S Saito, K Hara, J Bigham Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 ¡, 2018 | 70 | 2018 |
TurkScanner: Predicting the hourly wage of microtasks S Saito, CW Chiang, S Savage, T Nakano, T Kobayashi, JP Bigham The World Wide Web Conference 🏆, 3187-3193, 2019 | 50 | 2019 |
Becoming the super turker: Increasing wages via a strategy from high earning workers S Savage, CW Chiang, S Saito, C Toxtli, J Bigham Proceedings of The Web Conference 2020, 1241-1252, 2020 | 42 | 2020 |
Waseda at TRECVID 2016: Ad-hoc Video Search. K Ueki, K Kikuchi, S Saito, T Kobayashi TRECVID, 2016 | 16 | 2016 |
Towards a framework for collaborative video surveillance system using crowdsourcing S Saito, T Kobayashi, T Nakano Proceedings of the 19th ACM Conference on Computer Supported Cooperative ¡, 2016 | 7 | 2016 |
VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification S Saito, Y Ide, T Nakano, T Ogawa INTERSPEECH 2021, 2021 | 6 | 2021 |
Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors S Saito, CW Chiang, S Savage, T Nakano, T Kobayashi, J Bigham Human Computation 6, 192-219, 2019 | 5 | 2019 |
Two-stage calving prediction system: Exploiting state-based information relevant to calving signs in japanese black beef cows R Hyodo, S Yasuda, S Saito, Y Okimoto, T Nakano, M Akabane, ... European Conference on Precision Livestock Farming (ECPLF), 670-676, 2019 | 4 | 2019 |
Calving prediction from video: Exploiting behavioural information relevant to calving signs in japanese black beef cows K Sugawara, S Saito, T Nakano, M Akabane, T Kobayashi, T Ogawa European Conference on Precision Livestock Farming (ECPLF), 663-669, 2019 | 4 | 2019 |
Toward building a data-driven system for detecting mounting actions of black beef cattle Y Kawano, S Saito, T Nakano, I Kondo, R Yamazaki, H Kusaka, ... 2020 25th International Conference on Pattern Recognition (ICPR), 4458-4464, 2021 | 2 | 2021 |
Can Humans Correct Errors From System? Investigating Error Tendencies in Speaker Identification Using Crowdsourcing. Y Ide, S Saito, T Nakano, T Ogawa INTERSPEECH, 5100-5104, 2022 | 1 | 2022 |
Crowdsourced verification for operating calving surveillance systems at an early stage Y Okimoto, S Kawata, S Saito, T Nakano, T Ogawa 2020 25th International Conference on Pattern Recognition (ICPR), 4356-4362, 2021 | 1 | 2021 |
Exploring effectiveness of inter-microtask qualification tests in crowdsourcing M Morinaga, S Saito, T Nakano, T Kobayashi, T Ogawa arXiv preprint arXiv:2012.10999, 2020 | 1 | 2020 |
ÈâÅ£¤Î発Çé検Öª¤Î¤¿¤á¤Î乗駕ÐÐ動»Ïñ¥Çþí¥¿¥»¥Ã¥È構築¤Ë¤ª¤±¤ë¥¯¥é¥¦¥É¥½þí¥·¥ó¥°¤Î»îÓà ´¨Ò°°ÙºÏ×Ó£¬ 斎ÌÙ奨£¬ ÖÐÒ°鐵±ø£¬ ³àÓð誠£¬ ½üÌÙÓýº££¬ ɽÆé稜Ì£¬ ÈÕÏÂÔ£ÃÀ£¬ ... È˹¤ÖªÄÜѧ»áÈ«¹ú´ó»á論Îļ¯ µÚ 34 »Ø (2020), 1N5GS1305-1N5GS1305, 2020 | 1 | 2020 |
MicroLapse: Measuring workers' leniency to prediction errors of microtasks' working times S Saito, T Nakano, T Kobayashi, JP Bigham Companion Publication of the 2019 Conference on Computer Supported ¡, 2019 | 1 | 2019 |
Evaluation of collaborative video surveillance platform: Prototype development of abandoned object detection S Saito, T Nakano, M Akabane, T Kobayashi Proceedings of the 10th International Conference on Distributed Smart Camera ¡, 2016 | 1 | 2016 |
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle R Hyodo, S Saito, T Nakano, M Akabane, R Kasuga, T Ogawa arXiv preprint arXiv:2301.03926, 2023 | | 2023 |
Do You Know How Humans Sound? Exploring a Qualification Test Design for Crowdsourced Evaluation of Voice Synthesis Quality M Yaegashi, S Saito, T Nakano, T Ogawa 2022 Asia-Pacific Signal and Information Processing Association Annual ¡, 2022 | | 2022 |
¥¯¥é¥¦¥É¥½þí¥·¥ó¥°¤Ë¤ª¤±¤ë動µÄ¥¿¥¹¥¯発×¢¥â¥Ç¥ë¤Î½Ì師¤Ê¤·Ñ§習 Áø澤遼£¬ 斎ÌÙ奨£¬ ÖÐÒ°鐵±ø£¬ СÁÖÕÜ則£¬ С´¨ÕÜ˾ 電×ÓÇé報ͨÐÅѧ»á¼¼術Ñо¿報¸æ; ÐÅѧ¼¼報 122 (94), 72-76, 2022 | | 2022 |
Unsupervised Learning of a Dynamic Task Ordering Model for Crowdsourcing R Yanagisawa, S Saito, T Nakano, T Kobayashi, T Ogawa IEICE Technical Report; IEICE Tech. Rep. 122 (94), 72-76, 2022 | | 2022 |