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Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science ,
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VCNet: A Self-explaining Model for Realistic Counterfactual..:
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Chronicles: Formalization of a Temporal Model; SpringerBriefs in Computer Science ,
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Structuring the Space of Chronicles:
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Advanced Analytics and Learning on Temporal Data; Lecture Notes in Computer Science ,
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Experimental Study of Time Series Forecasting Methods for G..:
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Advanced Analytics and Learning on Temporal Data; Lecture Notes in Computer Science ,
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Human Activity Segmentation Challenge @ ECML/PKDD'23:
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Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science ,
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Generating Robust Counterfactual Explanations:
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Chronicles: Formalization of a Temporal Model; SpringerBriefs in Computer Science ,
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Occurrences of a Chronicle:
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Chronicles: Formalization of a Temporal Model; SpringerBriefs in Computer Science ,
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Conclusion:
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Chronicles: Formalization of a Temporal Model; SpringerBriefs in Computer Science ,
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A Formal Account of Chronicles:
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Lecture Notes in Computer Science; Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track ,
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Interactive Visualization of Counterfactual Explanations fo..:
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Chronicles: Formalization of a Temporal Model; SpringerBriefs in Computer Science ,
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Inducing Chronicles from Event Sequences:
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Chronicles: Formalization of a Temporal Model; SpringerBriefs in Computer Science ,
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Introduction:
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Contributions to Statistics; Theory and Applications of Time Series Analysis and Forecasting ,
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Probabilistic Forecasting of Seasonal Time Series: Combinin..:
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Pattern Recognition and Artificial Intelligence; Lecture Notes in Computer Science ,
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Temporal Disaggregation of the Cumulative Grass Growth:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
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Imbalanced classification with tpg genetic programming :..:
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Computational Science – ICCS 2022; Lecture Notes in Computer Science ,
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