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Publication search results
found 39 matches
- 2024
- José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor Vargas, María Teresa García-Ordás:
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. CoRR abs/2402.05571 (2024) - 2023
- Min Li, Jianliang Xu, Xiaoquan Wu:
Construction of Traditional Culture Ontology Based on Representation and Role. CCRIS 2023: 156-159 - Magdalena Chudy, Arleta Nawrocka-Wysocka, Ewa Lukasik, Ewa Kusmierek, Tomasz Parkola:
Incorporating symbolic representations of traditional music into a digital library. DLfM 2023: 30-34 - Mina A. Nessiem, Mostafa M. Amin, Björn W. Schuller:
SMILENets: Audio Representation Learning via Neural Knowledge Distillation of Traditional Audio-Feature Extractors. ICFSP 2023: 32-37 - Zecheng Yin, Jinyuan Luo, Yuejun Tan, Yanchun Zhang:
TCMCoRep: Traditional Chinese Medicine Data Mining with Contrastive Graph Representation Learning. KSEM (4) 2023: 44-55 - Dongsheng Shi, Feng Lin, Yuxun Li, Qianzhong Chen, Yiying Lin, Wentao Zhu, Dongmei Li, Xiaoping Zhang:
Rule-Based Representation Learning for Traditional Chinese Medicine Knowledge Graph. SERA 2023: 423-427 - Yiying Lin, Feng Lin, Yu Yang, Dongsheng Shi, Qianzhong Chen, Wentao Zhu, Dongmei Li, Xiaoping Zhang:
Fusion of Multi-headed Self-attention for Traditional Chinese Medicine Knowledge Graph Representation Learning. SNPD-Winter 2023: 15-19 - Devansh Zurale, Shlomo Dubnov:
Learning Sub-Dimensional HRTF Representations Towards Individualization Applications - Traditional and Deep Learning Approaches. WASPAA 2023: 1-5 - 2022
- Yuekun Ma, Zhongyan Sun, Dezheng Zhang, Yechen Feng:
Traditional Chinese Medicine Word Representation Model Augmented with Semantic and Grammatical Information. Inf. 13(6): 296 (2022) - Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao:
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion. AAAI 2022: 13200-13202 - 2021
- Shuchen Li, Wei Wang, Jieyue He:
KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine. BIBM 2021: 450-455 - Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia:
Network Representation Learning: From Traditional Feature Learning to Deep Learning. CoRR abs/2103.04339 (2021) - 2020
- Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia:
Network Representation Learning: From Traditional Feature Learning to Deep Learning. IEEE Access 8: 205600-205617 (2020) - Johannes Kühnel, Markus Ebner, Martin Ebner:
Chatbots for Brand Representation in Comparison with Traditional Websites. Int. J. Interact. Mob. Technol. 14(18): 18-33 (2020) - Appoh Kouamé, Konan Marcellin Brou, Moussa Lo, Jean-Baptiste Lamy:
Visual Representation of African Traditional Medicine Recipes Using Icons and a Formal Ontology, ontoMEDTRAD. MIE 2020: 791-795 - 2019
- Qinan Hu, Ling Zhu, Feng Yang, Jinghua Li, Qi Yu, Ye Tian, Tong Yu, Yueguo Gu:
Semantic Representations of Terms in Traditional Chinese Medicine. CLSW 2019: 764-775 - Oghenemaro Anuyah, Ion Madrazo Azpiazu, Maria Soledad Pera:
Using structured knowledge and traditional word embeddings to generate concept representations in the educational domain. WWW (Companion Volume) 2019: 274-282 - 2017
- Qingping Liu, Jiahao Wang, Yan Zhu, Yongqun He:
Ontology-based systematic representation and analysis of traditional Chinese drugs against rheumatism. BMC Syst. Biol. 11(S-7): 113-125 (2017) - Sapa Chanyachatchawan, Hongbin Yan, Songsak Sriboonchitta, Van-Nam Huynh:
A linguistic representation based approach to modelling Kansei data and its application to consumer-oriented evaluation of traditional products. Knowl. Based Syst. 138: 124-133 (2017) - Cai Xiao Hong, Zhao Yu Feng, Chen Xiang Rong, Li Tian, Wei Ya Wei, Ma Li:
The ontology-based knowledge representation modeling of the traditional-Chinese-medicine symptom. BIBM 2017: 1345-1349 - Wei Li, Zheng Yang:
Distributed Representation for Traditional Chinese Medicine Herb via Deep Learning Models. CoRR abs/1711.01701 (2017) - 2016
- Guoqiang Zhong, Lina Wang, Junyu Dong:
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning. CoRR abs/1611.08331 (2016) - 2015
- Remi Decorsiere, Peter L. Søndergaard, Ewen N. MacDonald, Torsten Dau:
Inversion of Auditory Spectrograms, Traditional Spectrograms, and Other Envelope Representations. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 46-56 (2015) - Huibin Cao, Yuxiang Sun, Jianguo Liu, Huaqiao Gui, Xiang Dong, Lifu Gao, Yunjian Ge:
Research on information acquisition and manipulation representation (MR) method of traditional chinese medical massage (TCMM) based on multi-dimension force sensor. ICIA 2015: 2955-2959 - 2014
- Christina Chrysouli, Vasileios Gavriilidis, Anastasios Tefas:
Graph-based Kernel Representation of Videos for Traditional Dance Recognition. IJCCI (NCTA) 2014: 195-202 - 2013
- Bernard Kamsu-Foguem, Gayo Diallo, Clovis Foguem:
Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine. Eng. Appl. Artif. Intell. 26(4): 1348-1365 (2013) - Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler:
Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. Dublin Core Conference 2013: 71-81 - 2012
- Marian Petre, Helen Sharp, Sallyann Freudenberg:
The mystery of the writing that isn't on the wall: Differences in public representations in traditional and agile software development. CHASE 2012: 120-122 - 2011
- Yuexi Zhou, Ximiao Zhang:
Exploring the methods of using the Chinese traditional folk-custom color cultural representations on the industrial design. EMEIT 2011: 4489-4492 - 2010
- Norhalina Senan, Rosziati Ibrahim, Nazri Mohd Nawi, Musa Mohd Mokji, Tutut Herawan:
The Ideal Data Representation for Feature Extraction of Traditional Malay Musical Instrument Sounds Classification. ICIC (1) 2010: 345-353
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