哈尔滨工业大学邓宗全院士团队
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期刊


ISSN1566-2535
刊名Information Fusion
参考译名信息融合
收藏年代2004~2024



全部

2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015
2016 2017 2018 2019 2020 2021
2022 2023 2024

2022, vol.77 2022, vol.78 2022, vol.79 2022, vol.80 2022, vol.81 2022, vol.82
2022, vol.83/84 2022, vol.85 2022, vol.86/87 2022, vol.88

题名作者出版年年卷期
Neural generators of sparse local linear models for achieving both accuracy and interpretabilityYoshikawa, Yuya; Iwata, Tomoharu20222022, vol.81
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanationsArras, Leila; Osman, Ahmed; Samek, Wojciech20222022, vol.81
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directionsRahate, Anil; Walambe, Rahee; Ramanna, Sheela; Kotecha, Ketan20222022, vol.81
A fusion spatial attention approach for few-shot learningSong, Heda; Deng, Bowen; Pound, Michael; Ozcan, Ender; Triguero, Isaac20222022, vol.81
Tabular data: Deep learning is not all you needShwartz-Ziv, Ravid; Armon, Amitai20222022, vol.81
ContrXT: Generating contrastive explanations from any text classifierMalandri, Lorenzo; Mercorio, Fabio; Mezzanzanica, Mario; Nobani, Navid; Seveso, Andrea20222022, vol.81
A multi-representation re-ranking model for Personalized Product SearchBassani, Elias; Pasi, Gabriella20222022, vol.81
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applicationsChou, Yu-Liang; Moreira, Catarina; Bruza, Peter; Ouyang, Chun; Jorge, Joaquim20222022, vol.81
Information fusion for edge intelligence: A surveyZhang, Yin; Jiang, Chi; Yue, Binglei; Wan, Jiafu; Guizani, Mohsen20222022, vol.81
A novel model usability evaluation framework (MUsE) for explainable artificial intelligenceKirrane, Sabrina; Dieber, Juergen20222022, vol.81
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