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Marcus Kalander
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2020 – today
- 2024
- [j3]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113(6): 3849-3868 (2024) - [c5]Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao:
Safe Table Tennis Swing Stroke with Low-Cost Hardware. ICRA 2024: 18279-18285 - 2023
- [c4]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. ICLR 2023 - [i9]Jiren Mai, Fei Zhang, Junjie Ye, Marcus Kalander, Xian Zhang, Wankou Yang, Tongliang Liu, Bo Han:
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation. CoRR abs/2303.02449 (2023) - [i8]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. CoRR abs/2303.05033 (2023) - [i7]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting Counter-Examples for Active Learning with Partial labels. CoRR abs/2307.07413 (2023) - 2022
- [j2]Lujia Pan, Marcus Kalander, Pinghui Wang:
LDAAD: An effective label de-noising approach for anomaly detection. J. Intell. Fuzzy Syst. 42(6): 5627-5637 (2022) - [c3]Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang:
Contrastive Representation based Active Learning for Time Series. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [i6]Marcus Kalander:
RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk. CoRR abs/2205.10004 (2022) - 2021
- [c2]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD 2021: 1975-1985 - [i5]Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye:
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks. CoRR abs/2105.03092 (2021) - [i4]Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan:
An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. CoRR abs/2107.02347 (2021) - [i3]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR abs/2107.03767 (2021) - [i2]Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan:
gCastle: A Python Toolbox for Causal Discovery. CoRR abs/2111.15155 (2021) - 2020
- [j1]Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang:
Proactive microwave link anomaly detection in cellular data networks. Comput. Networks 167 (2020) - [c1]Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye:
An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks. ICSOC Workshops 2020: 124-136 - [i1]Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan:
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR abs/2009.09849 (2020)
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