Marcus Kalander

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Active Learning

Convolutional Network

Weakly Supervised

Top Venues

ICSOC Workshops

Publications

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) (2024)
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)
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 (2023)
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)
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 (2023)
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 (2023)
Lujia Pan, Marcus Kalander, Pinghui Wang
LDAAD: An effective label de-noising approach for anomaly detection. J. Intell. Fuzzy Syst. 42 (6) (2022)
Marcus Kalander
RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk. CoRR (2022)
Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang
Contrastive Representation based Active Learning for Time Series. DASC/PiCom/CBDCom/CyberSciTech (2022)
Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan
An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. CoRR (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR (2021)
Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks. CoRR (2021)
Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
gCastle: A Python Toolbox for Causal Discovery. CoRR (2021)
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)
Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR (2020)
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)