Eamonn Keogh - Finding Approximately Repeated Patterns in Time Series
https://u-paris.fr/diip/ More information and materials are available on our website: https://u-paris.fr/diip/eamonn-keogh-... More diiP distinguished lectures: https://u-paris.fr/diip/events/distin...
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Laurent Daudet - Promises and challenges of massive-scale AI – the case of large language models
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Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen
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Time Series data Mining Using the Matrix Profile part 1
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11th-FNIP-webinar-D.Brunner_W.Buchser_T.Dorigo.
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TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
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How Proctor’s texts in Karen Read lawsuit could free dangerous criminals
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Giulio Biroli - 1/3 Generative AI and Diffusion Models: a Statistical Physics Analysis
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Irrational Exuberance Why we should not believe 95% of papers on Time Series Anomaly Detection
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Aileen Nielsen - Irregular time series and how to whip them
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Alon Halevy - Well-being, AI, and You: Developing AI-based Technology for Well-being
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Trends and Innovations in SEEG (Birgit Frauscher, MD, PhD) #Epilepsy #EpilepsySurgery #SEEG
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Financial Engineering Playground: Signal Processing, Robust Estimation, Kalman, Optimization
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PyCon.DE 2017 Nils Braun - Time series feature extraction with tsfresh - “get rich or die..
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The Bayesians are Coming to Time Series
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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LSTM is dead. Long Live Transformers!
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Automatically Find Patterns & Anomalies from Time Series or Sequential Data - Sean Law
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The Passage of Time and the Meaning of Life | Sean Carroll
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STUMPY: A Powerful and Scalable Library for Modern Time Series Analysis - Sean Law
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