Marcus Kalander

According to our database1, Marcus Kalander authored at least 12 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Exploiting Counter-Examples for Active Learning with Partial labels.
CoRR, 2023

Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation.
CoRR, 2023

Out-of-distribution Detection with Implicit Outlier Transformation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
LDAAD: An effective label de-noising approach for anomaly detection.
J. Intell. Fuzzy Syst., 2022

RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk.
CoRR, 2022

Contrastive Representation based Active Learning for Time Series.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
gCastle: A Python Toolbox for Causal Discovery.
CoRR, 2021

An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels.
CoRR, 2021

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.
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.
CoRR, 2020

Proactive microwave link anomaly detection in cellular data networks.
Comput. Networks, 2020

An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks.
Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020


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