Crowd science for hybrid AI applications; Service-Oriented System Engineering (SOSE)
| Parent link: | Service-Oriented System Engineering (SOSE).— 2021.— [P. 172-175] |
|---|---|
| 1. Verfasser: | |
| Körperschaft: | |
| Weitere Verfasser: | , |
| Zusammenfassung: | Title screen Most AI applications are hybrid, that is, employ machines to make inferences but can fall back on humans when the algorithm is not confident enough. This is true for a wide class of applications ranging from self-driving cars to decision making and process automation in enterprise AI. In this WIP paper we present our vision and progress towards an AI and crowd service that trains, assess and refines ML systems intended to be used in hybrid context. We specifically focus on crowdsourcing as a mean to assist ML algorithm development, and on the different ways in which crowd and machine can interact before, during and after the training process in a synergic way that goes well beyond the 'traditional' application of crowd workers to provide data labels for ML training. Режим доступа: по договору с организацией-держателем ресурса |
| Sprache: | Englisch |
| Veröffentlicht: |
2021
|
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1109/SOSE52839.2021.00027 |
| Format: | Elektronisch Buchkapitel |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666777 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 666777 | ||
| 005 | 20250818165337.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\37981 | ||
| 035 | |a RU\TPU\network\37876 | ||
| 090 | |a 666777 | ||
| 100 | |a 20220126d2021 k y0engy50 ba | ||
| 101 | 0 | |a eng | |
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Crowd science for hybrid AI applications |f Е. А. Taran, V. A. Malanina, F. Casati | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 10 tit.] | ||
| 330 | |a Most AI applications are hybrid, that is, employ machines to make inferences but can fall back on humans when the algorithm is not confident enough. This is true for a wide class of applications ranging from self-driving cars to decision making and process automation in enterprise AI. In this WIP paper we present our vision and progress towards an AI and crowd service that trains, assess and refines ML systems intended to be used in hybrid context. We specifically focus on crowdsourcing as a mean to assist ML algorithm development, and on the different ways in which crowd and machine can interact before, during and after the training process in a synergic way that goes well beyond the 'traditional' application of crowd workers to provide data labels for ML training. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | |t Service-Oriented System Engineering (SOSE) |o Proceedings 15th IEEE International conference, 23-26 August 2021, Virtual, Oxford |v [P. 172-175] |d 2021 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a crodwsourcing | |
| 610 | 1 | |a hybrid learning | |
| 610 | 1 | |a machine learning | |
| 610 | 1 | |a краудсорсинг | |
| 610 | 1 | |a гибридное обучение | |
| 610 | 1 | |a машинное обучение | |
| 700 | 1 | |a Taran |b Е. А. |c Economist |c Senior Lecturer of Tomsk Polytechnic University |f 1981- |g Ekaterina Aleksandrovna |3 (RuTPU)RU\TPU\pers\35026 |9 18317 | |
| 701 | 1 | |a Malanina |b V. A. |c economist |c Associate Professor of Tomsk Polytechnic University, Candidate of economic sciences |f 1977- |g Veronika Anatolievna |3 (RuTPU)RU\TPU\pers\34896 |9 18214 | |
| 701 | 1 | |a Casati |b F. |c Italian economist and Professor at the University of Trento (Italy) |c Professor of Tomsk Polytechnic University, candidate of technical Sciences |f 1971- |g Fabio |3 (RuTPU)RU\TPU\pers\39820 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Школа базовой инженерной подготовки |b Отделение социально-гуманитарных наук |3 (RuTPU)RU\TPU\col\23512 |
| 801 | 2 | |a RU |b 63413507 |c 20220126 |g RCR | |
| 856 | 4 | |u https://doi.org/10.1109/SOSE52839.2021.00027 | |
| 942 | |c CF | ||