From 73da8f5fa2a7d225f1e04917580b5952a233043a Mon Sep 17 00:00:00 2001 From: Luke Kim Date: Sun, 2 Jul 2023 16:02:39 +0900 Subject: [PATCH] Update index.mdx --- blog/2023-06-04-publication-birp/index.mdx | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/blog/2023-06-04-publication-birp/index.mdx b/blog/2023-06-04-publication-birp/index.mdx index 54b441e..ed1a42d 100644 --- a/blog/2023-06-04-publication-birp/index.mdx +++ b/blog/2023-06-04-publication-birp/index.mdx @@ -14,7 +14,7 @@ import birp_diagram from './image/birp_diagram.png'; import chart_vote_performance from './image/chart_vote_performance.png'; import ranking_indicator from './image/ranking_indicator.png'; -[KDD workshop submission version](https://github.com/puzzlecollector/AI-Conferences/blob/main/SIGIR_SIRIP_2023_final.pdf) +[KDD Workshop on Machine Learning in Finance](https://github.com/puzzlecollector/AI-Conferences/blob/main/SIGIR_SIRIP_2023_final.pdf) > Minsuk Kim, Gyeongmin Kim, Byungchul Kim, Junyeong Yong, Jeongwoo Park. "BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching" > @@ -100,37 +100,49 @@ multimodal top 5 방식의 랭킹으로 voting 정보를 계산해서 backtest ## References + Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A Scalable Tree Boosting System. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (San Francisco, California, USA) (KDD ’16). ACM, New York, NY, USA, 785–794. https://doi.org/10.1145/2939672.2939785 + Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597–1607. + Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186. https://doi.org/10.18653/v1/N19-1423 + Guozhu Dong and Vahid Taslimitehrani. 2016. Pattern-aided regression modeling and prediction model analysis. In 2016 IEEE 32nd International Conference on Data Engineering (ICDE). 1508–1509. https://doi.org/10.1109/ICDE.2016.7498398 + Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021. SimCSE: Simple Contrastive Learning of Sentence Embeddings. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 6894–6910. https://doi.org/10.18653/v1/2021.emnlp-main.552 + Xueyuan Gong and Yain-Whar Si. 2013. Comparison of subsequence pattern matching methods for financial time series. In 2013 Ninth International Conference on Computational Intelligence and Security. IEEE, 154–158. + Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021. DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION. In International Conference on Learning Representations. 1–21. https://openreview.net/forum?id=XPZIaotutsD + Gyeongmin Kim, Minsuk Kim, Byungchul Kim, and Heuiseok Lim. 2023. CBITS: Crypto BERT Incorporated Trading System. IEEE Access 11 (2023), 6912–6921. https://doi.org/10.1109/ACCESS.2023.3236032 + Leland McInnes, John Healy, and James Melville. 2018. Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426 (2018). + Satoshi Nakamoto. 2008. Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review (2008), 21260. + Marc Velay and Fabrice Daniel. 2018. Stock chart pattern recognition with deep learning. arXiv preprint arXiv:1808.00418 (2018) + Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, and Bixiong Xu. 2022. Ts2vec: Towards universal representation of time series. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36. 8980–8987.