--- title: "Proceedings - International Conference on Tools with Artificial" description: "All 232 papers of Proceedings - International Conference on Tools with Artificial Intelligence, TAI 2021 · page 3 of 3, the most cited first; those with…" canonical: "https://research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/page/3/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Proceedings - International Conference…](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/) / [2021](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/) / [papers](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/) / page 3 # Proceedings - International Conference on Tools with Artificial Intelligence, TAI 2021: all accepted papers 232 papers · page 3 of 3 · the most cited first · [← Proceedings - International Conference on Tools with Artificial Intelligence, TAI 2021](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/) [← prev](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/) [2](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/page/2/) **3** 201. **[Bridging Text Space and Knowledge Space via Transference Methods ↗](https://doi.org/10.1109/ictai52525.2021.00153)**Ming Liu, Bo Wang, Qiang Gao et al. 202. **[Checking Agent Intentions in Games ↗](https://doi.org/10.1109/ictai52525.2021.00130)**Nathalie Chetcuti-Sperandio, Alix Goudyme, Sylvain Lagrue et al. 203. **[Clustering Users by exploiting Activity Tracks in Recommender Systems for SME ↗](https://doi.org/10.1109/ictai52525.2021.00214)**Luigi Portinale, Samuele Brondolin 204. **[Consensus Subspace Clustering ↗](https://doi.org/10.1109/ictai52525.2021.00064)**Nathan Thom, Hung Nguyen, Emily Hand 205. **[Detection of Defect Proportion for Workpiece Surface Based on a Fusion Prediction Model ↗](https://doi.org/10.1109/ictai52525.2021.00173)**Sikai Tao, Ruixun Zhang, Yumeng Li 206. **[Enrichment of Features for Malware-Related Sentence Classification using External Knowledge ↗](https://doi.org/10.1109/ictai52525.2021.00181)**Chau Duc Minh Nguyen, Vu Tran, Le-Minh Nguyen 207. **[FHSR: A Successful Application of Deep Learning Technology in Signal Retrieval ↗](https://doi.org/10.1109/ictai52525.2021.00162)**Pengcheng Liu, Zhen Han, Meimei Li et al. 208. **[Few-Shot Classification With Intra-Class Unrelated Multi-Prototype Representation and Episode Adaptation Strategy ↗](https://doi.org/10.1109/ictai52525.2021.00166)**Wen Zhijie, Zhang Qi, Wei Wang et al. 209. **[Foreword ↗](https://doi.org/10.1109/ictai52525.2021.00005)** 210. **[Formal Modeling of Reinforcement Learning with Many Agents through Repeated Local Interactions ↗](https://doi.org/10.1109/ictai52525.2021.00113)**Chin-Wing Leung, Shuyue Hu, Ho-fung Leung 211. **[Improving Integer and Constraint Programming for Graeco-Latin Squares ↗](https://doi.org/10.1109/ictai52525.2021.00096)**Noah Rubin, Curtis Bright, Kevin K. H. Cheung et al. 212. **[IncrAMLSI: Incremental Learning of Accurate Planning Domains from Partial and Noisy Observations ↗](https://doi.org/10.1109/ictai52525.2021.00025)**Maxence Grand, Humbert Fiorino, Damien Pellier 213. **[Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem ↗](https://doi.org/10.1109/ictai52525.2021.00081)**Pankaj Khanchandani, Oliver Richter, Lukas Rusch et al. 214. **[Multi-task Scale Adaptive Ladder Network for Crowd Counting ↗](https://doi.org/10.1109/ictai52525.2021.00120)**Kehao Wang, Ruiqi Ren, Chenglin Li 215. **[PAMELA: a generic and light multi-agent platform ↗](https://doi.org/10.1109/ictai52525.2021.00226)**Baudouin Dafflon, Maxime Guériau, Yacine Ouzrout et al. 216. **[POI Recommend for Deep Neural Network Based on Explicit and Implicit Feature Joint ↗](https://doi.org/10.1109/ictai52525.2021.00057)**Hailun Zhan, Zhiming Ding, Mengmeng Chang et al. 217. **[Proactive, Correlation Based Anomaly Detection at the Edge ↗](https://doi.org/10.1109/ictai52525.2021.00216)**Panagiotis Fountas, Kostas Kolomvatsos 218. **[Recurrent Temporal Point Process Network for First and Repeated Clinical Events ↗](https://doi.org/10.1109/ictai52525.2021.00029)**Min Min Chan, Amanda Yun Rui Lam, David Carmody et al. 219. **[Reviewers ↗](https://doi.org/10.1109/ictai52525.2021.00008)** 220. **[SAdvGAN : Multiple Information Fusion For Adversary Generation ↗](https://doi.org/10.1109/ictai52525.2021.00203)**Qian Sun, Ziman Yang, Pei Li et al. 221. **[SEED: A Cross-Layer Semantic Enhanced SLU Model With Role Context Differentiated Fusion ↗](https://doi.org/10.1109/ictai52525.2021.00201)**Changjian Wang, Dongsong Zhang, Shezheng Song et al. 222. **[Self-supervised Variational Autoencoder for Recommender Systems ↗](https://doi.org/10.1109/ictai52525.2021.00132)**Jing Wang, Gangdu Liu, Jun Wu et al. 223. **[Semantic-based Bidirectional Adversarial Neural Topic Model ↗](https://doi.org/10.1109/ictai52525.2021.00061)**Zulong Ma, Jiamin Lu, Jun Feng et al. 224. **[Smart Data for Goods and Vehicle Monitoring – Practical Considerations on Data Semantization ↗](https://doi.org/10.1109/ictai52525.2021.00192)**Krzysztof Kutt, Piotr Nowara, Rafal Szczur et al. 225. **[Sparse Real-time Decision Diagrams for Continuous Multi-Robot Path Planning ↗](https://doi.org/10.1109/ictai52525.2021.00021)**Pavel Surynek 226. **[T-Mask: An Active and Accurate Dialogue State Tracking with Token Mask Prediction ↗](https://doi.org/10.1109/ictai52525.2021.00154)**Shezheng Song, Changjian Wang, Dongsong Zhang et al. 227. **[Terroristic Content Detection using a Multi-scene classification system ↗](https://doi.org/10.1109/ictai52525.2021.00144)**Chenyi Wang, Jie Guo, Weidong Qiu et al. 228. **[Training Electric Vehicle Charging Controllers with Imitation Learning ↗](https://doi.org/10.1109/ictai52525.2021.00107)**Martin Pilát 229. **[User-Guided Image Inpatinting with Transformer ↗](https://doi.org/10.1109/ictai52525.2021.00174)**Jingjun Qiu, Yan Gao 230. **[Copyright notice ↗](https://doi.org/10.1109/ictai52525.2021.00003)** 231. **[Title page i ↗](https://doi.org/10.1109/ictai52525.2021.00001)** 232. **[Title page iii ↗](https://doi.org/10.1109/ictai52525.2021.00002)** [← prev](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/) [2](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/papers/page/2/) **3** - [← back to](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2021/) — Proceedings - International Conference on Tools with Artificial Intelligence, TAI 2021