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Publication search results
found 40 matches
- 2023
- M. R. Rahul, Shital S. Chiddarwar:
A causality-inspired data augmentation approach to cross-domain burr detection using randomly weighted shallow networks. Int. J. Mach. Learn. Cybern. 14(12): 4223-4236 (2023) - Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert:
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(4): 1095-1106 (2023) - Chaojin Mao, Liang Zhao, Geyong Min, Ammar Hawbani, Ahmed Yassin Al-Dubai, Albert Y. Zomaya:
Informative Causality-Based Vehicle Trajectory Prediction Architecture for Domain Generalization. GLOBECOM 2023: 1-6 - Suo Qiu:
Causality-Inspired Source-Free Domain Adaptation for Medical Image Classification. ICIG (5) 2023: 68-80 - Shanshan Wang, Yiyang Chen, Zhenwei He, Xun Yang, Mengzhu Wang, Quanzeng You, Xingyi Zhang:
Disentangled Representation Learning with Causality for Unsupervised Domain Adaptation. ACM Multimedia 2023: 2918-2926 - Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan:
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading. CoRR abs/2309.15493 (2023) - (Withdrawn) Causality-based Dual-Contrastive Learning Framework for Domain Generalization. CoRR abs/2301.09120 (2023)
- 2022
- Huiyong Sun, Yuxiang Jia, Xiaojing Du, Shuai Cao, Hongying Zan:
Building a Corpus for Chinese Causality Extraction in Futures Domain. CLSW (2) 2022: 302-314 - Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu:
Causality Inspired Representation Learning for Domain Generalization. CVPR 2022: 8036-8046 - Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu:
Causality Inspired Representation Learning for Domain Generalization. CoRR abs/2203.14237 (2022) - Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR abs/2205.04641 (2022) - 2021
- Luiz A. Baccalá, Koichi Sameshima:
Frequency Domain Repercussions of Instantaneous Granger Causality. Entropy 23(8): 1037 (2021) - Tobias Kabzinski, Peter Jax:
A Causality-Constrained Frequency-Domain Least-Squares Filter Design Method for Crosstalk Cancellation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2942-2956 (2021) - Yuxiang Jia, Le Kang, Huiyong Sun, Xiaojing Du, Shuai Cao, Hongying Zan, Fang Li:
Causality Extraction in Futures Domain. IALP 2021: 111-116 - Raksha Sharma, Girish K. Palshikar:
Virus Causes Flu: Identifying Causality in the Biomedical Domain Using an Ensemble Approach with Target-Specific Semantic Embeddings. NLDB 2021: 93-104 - Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert:
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR abs/2111.12525 (2021) - 2020
- James Bannon, Brad Windsor, Wenbo Song, Tao Li:
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains. CoRR abs/2006.02579 (2020) - Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh:
Domain Adaptative Causality Encoder. CoRR abs/2011.13549 (2020) - 2019
- Qingshan She, Hang Zheng, Tongcai Tan, Botao Zhang, Yingle Fan, Zhizeng Luo:
Time-Frequency-Domain Copula-Based Granger Causality and Application to Corticomuscular Coupling in Stroke. Int. J. Humanoid Robotics 16(4): 1950018:1-1950018:18 (2019) - Saulius Gudas, Jurij Tekutov, Rimantas Butleris, Vitalijus Denisovas:
Modelling Subject Domain Causality for Learning Content Renewal. Informatica 30(3): 455-480 (2019) - Sitthichoke Subpaiboonkit, Xue Li, Xin Zhao, Harrisen Scells, Guido Zuccon:
Causality Discovery with Domain Knowledge for Drug-Drug Interactions Discovery. ADMA 2019: 632-647 - Luca Faes, Jana Krohova, Riccardo Pernice, Alessandro Busacca, Michal Javorka:
A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular Interactions. EMBC 2019: 4258-4261 - Nguyen Ngoc Thach, Le Hoang Anh, Ha Thi Nhu Phuong:
Frequency Domain Causality Analysis of Stock Market and Economic Activites in Vietnam. Structural Changes and their Econometric Modeling 2019: 620-638 - 2018
- Lipeng Ning, Yogesh Rathi:
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks. IEEE Trans. Medical Imaging 37(9): 1957-1969 (2018) - Qin Zhang, Quanying Yao:
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1637-1651 (2018) - 2016
- Lutz Leistritz, Herbert Witte:
A time domain frequency-selective multivariate granger causality approach. EMBC 2016: 5485-5488 - 2014
- Gaetano Valenza, Michele Orini, Luca Citi, Ana Mincholé, Esther Pueyo, Pablo Laguna, Riccardo Barbieri:
Assessing real-time RR-QT frequency-domain measures of coupling and causality through inhomogeneous point-process bivariate models. EMBC 2014: 6475-6478 - 2013
- Luca Faes, Giandomenico Nollo:
Measuring frequency domain granger causality for multiple blocks of interacting time series. Biol. Cybern. 107(2): 217-232 (2013) - Claudiu Mihaila, Tomoko Ohta, Sampo Pyysalo, Sophia Ananiadou:
BioCause: Annotating and analysing causality in the biomedical domain. BMC Bioinform. 14: 2 (2013) - Tomás Boril, Pavel Sovka:
Autoregressive causal relation: Digital filtering approach to causality measures in frequency domain. Digit. Signal Process. 23(5): 1756-1766 (2013)
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