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2025	A methodological approach for inferring causal relationships from opinions and news-derived events with an application to climate change PeerJ Computer Science Juan Marten, Fernando Delbianco, Fernando Tohme, Ana G. Maguitman
2025	Document-Level Causal Event Extraction Enhanced by Temporal Relations Using Dual-Channel Neural Network Electronics Zishu Liu, Yongquan Liang, Weijian Ni
2025	Spatiotemporal Learning With Decoupled Causal Attention for Multivariate Time Series IEEE Transactions on Big Data Xin Bi, Qinghan Jin, Meiling Song, Xin Yao, Xiangguo Zhao, Ye Yuan, Guoren Wang
2024	Building causal models for finding actual causes of unmanned aerial vehicle failures Frontiers in Robotics and AI Ehsan Zibaei, Robin Borth
2024	Learning causality structures from electricity demand data Energy Systems Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Evangelos Milios, Ana Maguitman
2024	2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT) Erwin Antepuesto, Stan Kiefer Gallego, Gerard D. Ompad, Angie Ceniza
2024	Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation settings MethodsX Atsushi Kurotani, Hirokuni Miyamoto, Jun Kikuchi
2023	Assessing causality among topics and sentiments: The case of the G20 discussion on Twitter Journal of Information Science Mauro Fonseca, Fernando Delbianco, Ana Maguitman, Axel J Soto
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