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Admissible generalisation of temporal sequences as chronicles

Journal of applied non-classical logics, 2023-10, Vol.33 (3-4), p.641-653

Guyet, T.

2023

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Chronicles: Formalization of a Temporal Model

2023

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Clustering flood events from water quality time series using Latent Dirichlet Allocation model

Water resources research, 2013-12, Vol.49 (12), p.8187-8199

2013

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Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers

1, 2023

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Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers

1st Edition 2023, 2023

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Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers

1st Edition 2021, 2021

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Knowledge construction from time series data using a collaborative exploration system

Journal of biomedical informatics, 2007-12, Vol.40 (6), p.672-687

2007

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A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification

Advanced Analytics and Learning on Temporal Data, 2020, Vol.12588, p.77-94

2020

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Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

1, 2020

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How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods

Advanced Analytics and Learning on Temporal Data, 2020, Vol.11986, p.110-125

2020

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Data Augmentation for Time Series Classification with Deep Learning Models

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.117-132

2023

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Fast Time Series Classification with Random Symbolic Subsequences

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.50-65

2023

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Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.83-101

2023

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RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.66-82

2023

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ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.181-196

2023

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Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.167-180

2023

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A Fully Automated Periodicity Detection in Time Series

Advanced Analytics and Learning on Temporal Data, 2020, Vol.11986, p.43-54

2020

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Clustering flood events from water quality time series using Latent Dirichlet Allocation model: New Clustering Method, Applied on Flood Chemistry

Water resources research, 2013-12, Vol.49 (12), p.8187-8199

2013

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Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.34-49

2023

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Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.133-147

2023

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Adjustable Context-Aware Transformer

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.3-17

2023

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EDGAR: Embedded Detection of Gunshots by AI in Real-time

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.148-166

2023

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Clustering of Time Series Based on Forecasting Performance of Global Models

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.18-33

2023

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Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River

Advanced Analytics and Learning on Temporal Data, 2023, Vol.13812, p.105-116

2023

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Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

1, 2020

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Admissible generalisation of temporal sequences as chronicles

Chronicles: Formalization of a Temporal Model

Clustering flood events from water quality time series using Latent Dirichlet Allocation model

Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers

Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers

Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers

Knowledge construction from time series data using a collaborative exploration system

A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification

Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods

Data Augmentation for Time Series Classification with Deep Learning Models

Fast Time Series Classification with Random Symbolic Subsequences

Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark

RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection

ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications

Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves

A Fully Automated Periodicity Detection in Time Series

Clustering flood events from water quality time series using Latent Dirichlet Allocation model: New Clustering Method, Applied on Flood Chemistry

Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction

Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0

Adjustable Context-Aware Transformer

EDGAR: Embedded Detection of Gunshots by AI in Real-time

Clustering of Time Series Based on Forecasting Performance of Global Models

Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River

Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

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