Bin Li

13 papers B 4Journal 3Unranked 5
YearRankTypeTitle / Venue / Authors
2024 B conf
Cohesive Explanation for Time Series Prediction.
IJCNN
Bin Li, Emmanuel Müller
2024 J jnl
State-transition-aware anomaly detection under concept drifts.
Data Knowl. Eng.
Bin Li, Shubham Gupta, Emmanuel Müller
2024 — —
Unsupervised temporal anomaly detection: Time series, data stream, and interpretability.
Bin Li
2023 B conf
Contrastive Time Series Anomaly Detection by Temporal Transformations.
IJCNN
Bin Li, Emmanuel Müller
2023 — conf
On Model Performance Estimation in Time Series Anomaly Detection.
CIIS
Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
2023 J jnl
On the Consistency and Robustness of Saliency Explanations for Time Series Classification.
CoRR
Chiara Balestra, Bin Li, Emmanuel Müller
2023 J jnl
Prototypes as Explanation for Time Series Anomaly Detection.
CoRR
Bin Li, Carsten Jentsch, Emmanuel Müller
2023 B conf
State-Transition-Aware Anomaly Detection Under Concept Drifts.
DaWaK
Bin Li, Emmanuel Müller
2023 — conf
The Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection.
ECML/PKDD (7)
Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
2023 B conf
slidSHAPs - sliding Shapley Values for correlation-based change detection in time series.
DSAA
Chiara Balestra, Bin Li, Emmanuel Müller
2022 — conf
ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data.
ECML/PKDD (6)
Benedikt Tobias Müller, Marvin Ender, Jan Erik Swiadek, Mengcheng Jin, Simon Winkel, Dominik Niedziela, Bin Li, Jelle Hüntelmann, Emmanuel Müller
2022 — conf
Reconstruction-based unsupervised drift detection over multivariate streaming data.
ICDM (Workshops)
Daniil Kaminskyi, Bin Li, Emmanuel Müller
2022 — conf
STAD: State-Transition-Aware Anomaly Detection Under Concept Drifts.
OLUD@WCCI
Bin Li, Emmanuel Müller