Marcus Kalander

17 papers A* 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Exploiting counter-examples for active learning with partial labels. Mach. Learn. Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
2024	A*	`conf`	Safe Table Tennis Swing Stroke with Low-Cost Hardware. ICRA Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao
2023	J	`jnl`	Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation. CoRR Jiren Mai, Fei Zhang, Junjie Ye, Marcus Kalander, Xian Zhang, Wankou Yang, Tongliang Liu, Bo Han
2023	J	`jnl`	Exploiting Counter-Examples for Active Learning with Partial labels. CoRR Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
2023	A*	`conf`	Out-of-distribution Detection with Implicit Outlier Transformation. ICLR Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023	J	`jnl`	Out-of-distribution Detection with Implicit Outlier Transformation. CoRR Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2022	—	`conf`	Contrastive Representation based Active Learning for Time Series. DASC/PiCom/CBDCom/CyberSciTech Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang
2022	J	`jnl`	LDAAD: An effective label de-noising approach for anomaly detection. J. Intell. Fuzzy Syst. Lujia Pan, Marcus Kalander, Pinghui Wang
2022	J	`jnl`	RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk. CoRR Marcus Kalander
2021	J	`jnl`	An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. CoRR Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan
2021	J	`jnl`	An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks. CoRR Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
2021	A*	`conf`	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021	J	`jnl`	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021	J	`jnl`	gCastle: A Python Toolbox for Causal Discovery. CoRR Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
2020	—	`conf`	An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks. ICSOC Workshops Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
2020	J	`jnl`	Proactive microwave link anomaly detection in cellular data networks. Comput. Networks Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang
2020	J	`jnl`	Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan