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Browsing: scholar
Authors: Dingyi Rong、Wenzhuo Zheng、Bozitao Zhong、Zhouhan Lin、Liang Hong、Ning Liu Paper: https://arxiv.org/abs/2408.06391 Introduction Accurately predicting enzyme functions using Enzyme Commission (EC) numbers…
Authors: Kamyar Zeinalipour、Neda Jamshidi、Monica Bianchini、Marco Maggini、Marco Gori Paper: https://arxiv.org/abs/2408.06396 Introduction In recent years, the field of natural language processing (NLP)…
Authors: Steve Yuwono、Dorothea Schwung、Andreas Schwung Paper: https://arxiv.org/abs/2408.06397 Introduction In modern manufacturing systems, the integration of Artificial Intelligence (AI), Internet of…
Authors: Jiaojiao Guan、Yongxin Ji、Cheng Peng、Wei Zou、Xubo Tang、Jiayu Shang、Yanni Sun Paper: https://arxiv.org/abs/2408.06402 PhaGO: Protein Function Annotation for Bacteriophages by Integrating Genomic…
Authors: Federico Belotti、Fabio Dadda、Marco Cremaschi、Roberto Avogadro、Riccardo Pozzi、Matteo Palmonari Paper: https://arxiv.org/abs/2408.06423 Introduction Tables are essential tools for organizing and sharing information…
Authors: Zibo Liu、Zhe Jiang、Shigang Chen Paper: https://arxiv.org/abs/2408.06445 Introduction Long-term traffic flow forecasting is essential for intelligent transportation systems, enabling traffic…
Authors: Max Nelson、Shannon Wotherspoon、Francis Keith、William Hartmann、Matthew Snover Paper: https://arxiv.org/abs/2408.06484 Introduction Cross-lingual conversational speech summarization is a challenging task due to…
Authors: Jahir Sadik Monon、Deeparghya Dutta Barua、Md. Mosaddek Khan Paper: https://arxiv.org/abs/2408.06503 Introduction Multi-agent Reinforcement Learning (MARL) is a critical framework for…
Authors: Stefano Puliti、Emily R. Lines、Jana Müllerová、Julian Frey、Zoe Schindler、Adrian Straker、Matthew J. Allen、Lukas Winiwarter、Nataliia Rehush、Hristina Hristova、Brent Murray、Kim Calders、Louise Terryn、Nicholas Coops、Bernhard Höfle、Samuli Junttila、Martin…
Authors: Jun Yuan、Aritra Dasgupta Paper: https://arxiv.org/abs/2408.06509 Introduction Explainable AI (XAI) methods, such as SHAP, are crucial for uncovering feature attributions…