Marcus Kalander

According to our database, Marcus Kalander authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting counter-examples for active learning with partial labels.

Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han

Mach. Learn., June, 2024

Safe Table Tennis Swing Stroke with Low-Cost Hardware.

Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation.

Jiren Mai, Fei Zhang, Junjie Ye, Marcus Kalander, Xian Zhang, Wankou Yang, Tongliang Liu, Bo Han

CoRR, 2023

Out-of-distribution Detection with Implicit Outlier Transformation.

Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

LDAAD: An effective label de-noising approach for anomaly detection.

Lujia Pan, Marcus Kalander, Pinghui Wang

J. Intell. Fuzzy Syst., 2022

RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk.

Marcus Kalander

CoRR, 2022

Contrastive Representation based Active Learning for Time Series.

Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

gCastle: A Python Toolbox for Causal Discovery.

Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan

CoRR, 2021

An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels.

Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan

CoRR, 2021

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.

Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks.

Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan

CoRR, 2020

Proactive microwave link anomaly detection in cellular data networks.

Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang

Comput. Networks, 2020

An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks.

Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020