論文

• Kaushalya Madhawa, Tsuyoshi MURATA. Active Learning for Node Classification: An Evaluation, Entropy, MDPI, Vol. 22, No. 1164, pp. 1-20, Oct. 2020.  公式リンク  
  
• Kaushalya Madhawa, Tsuyoshi MURATA. A multi-armed bandit approach for exploring partially observed networks, Applied Network Science, Springer, Vol. 6, No. 26, pp. 1-18, May 2019.  公式リンク  
  

国際会議発表 (査読有り)

• Kaushalya Madhawa, Tsuyoshi MURATA. MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning, the 12th Asian Conference on Machine Learning (ACML 2020), Nov. 2020.  公式リンク  
  
• Kaushalya Madhawa, Tsuyoshi MURATA. Active Learning on Graphs via Meta Learning, Graph Representation Learning and Beyond (GRL+), pp. 1-8, July 2020.  公式リンク  
  
• Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi MURATA. Towards Robust Compressed Convolutional Neural Networks, The 6th IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019), Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019), IEEE, pp. 168-175, Feb. 2019.
• Kaushalya Madhawa, Tsuyoshi MURATA. Exploring Partially Observed Networks with Nonparametric Bandits, 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018), Proceedings of the 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018), Springer, Vol. 2, pp. 158-168, Dec. 2018.  公式リンク  
  
• Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi MURATA. Robustness of Compressed Convolutional Neural Networks, Workshop on Big Data for CyberSecurity (BigCyber-2018), Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), pp. 4829-4836, Dec. 2018.  公式リンク  
  

学位論文

• Active Sampling for Graph-structured Data,  Thesis,  Doctor (Academic),  Tokyo Institute of Technology,  2021/03/26,   
• Active Sampling for Graph-structured Data,  Exam Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2021/03/26,   
• Active Sampling for Graph-structured Data,  Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2021/03/26,   

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