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Grabocka, Josif [Author] ; Baydogan, Mustafa [Other]; Schmidt-Thieme, Lars [Degree supervisor]

Invariant Features For Time-Series Classification

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2016
Arif, Mofassir Ul Islam [Author]; Jameel, Mohsan [Author]; Grabocka, Josif [Author]; Schmidt-Thieme, Lars [Author]

Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks

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2020

Published in: LWDA (2020 : Online): LWDA 2020 - Lernen, Wissen, Daten, Analysen 2020 ; (2020), Seite 47-58
Grabocka, Josif [Author] ; Schmidt-Thieme, Lars [Degree supervisor]; Baydogan, Mustafa [Other]

Invariant Features For Time-Series Classification

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Hildesheim: Universität Hildesheim, 2016
Grabocka, Josif; Schmidt-Thieme, Lars

Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII: Learning Through Non-linearly Supervised Dimensionality Reduction

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Springer Berlin Heidelberg, 2015

Published in: Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII (2015), Seite 74-96
Grabocka, Josif; Schmidt-Thieme, Lars

Invariant time-series factorization

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Springer Science and Business Media LLC, 2014

Published in: Data Mining and Knowledge Discovery, 28 (2014) 5-6, Seite 1455-1479
Jameel, Mohsan [Author] ; Schmidt-Thieme, Lars [Degree supervisor]; Schmidt-Thieme, Lars [Other]; Grabocka, Josif [Other]

Edge Machine Learning: Fast Model Averaging for Decentralized Model Training

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Hildesheim: Stiftung Universität Hildesheim, 2022
Jawed, Shayan; Grabocka, Josif; Schmidt-Thieme, Lars

Advances in Knowledge Discovery and Data Mining: Self-supervised Learning for Semi-supervised Time Series Classification

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Springer International Publishing, 2020

Published in: Advances in Knowledge Discovery and Data Mining (2020), Seite 499-511
Rashed, Ahmed; Grabocka, Josif; Schmidt-Thieme, Lars

Lecture Notes in Computer Science: Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights

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Springer International Publishing, 2019

Published in: Lecture Notes in Computer Science (2019), Seite 100-117
Grabocka, Josif; Schilling, Nicolas; Schmidt-Thieme, Lars

Latent Time-Series Motifs

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Association for Computing Machinery (ACM), 2017

Published in: ACM Transactions on Knowledge Discovery from Data, 11 (2017) 1, Seite 1-20
Grabocka, Josif; Wistuba, Martin; Schmidt-Thieme, Lars

Fast classification of univariate and multivariate time series through shapelet discovery

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Springer Science and Business Media LLC, 2016

Published in: Knowledge and Information Systems, 49 (2016) 2, Seite 429-454
Grabocka, Josif; Wistuba, Martin; Schmidt-Thieme, Lars

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials

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Institute of Electrical and Electronics Engineers (IEEE), 2015

Published in: IEEE Transactions on Knowledge and Data Engineering, 27 (2015) 6, Seite 1683-1695
Grabocka, Josif; Bedalli, Erind; Schmidt-Thieme, Lars

Advances in Knowledge Discovery and Data Mining: Supervised Nonlinear Factorizations Excel In Semi-supervised Regression

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Springer International Publishing, 2014

Published in: Advances in Knowledge Discovery and Data Mining (2014), Seite 188-199
Grabocka, Josif; Drumond, Lucas; Schmidt-Thieme, Lars

Data Warehousing and Knowledge Discovery: Supervised Dimensionality Reduction via Nonlinear Target Estimation

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Springer Berlin Heidelberg, 2013

Published in: Data Warehousing and Knowledge Discovery (2013), Seite 172-183
Grabocka, Josif; Nanopoulos, Alexandros; Schmidt-Thieme, Lars

Machine Learning and Knowledge Discovery in Databases: Invariant Time-Series Classification

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Springer Berlin Heidelberg, 2012

Published in: Machine Learning and Knowledge Discovery in Databases (2012), Seite 725-740
Jomaa, Hadi S.; Schmidt-Thieme, Lars; Grabocka, Josif

Dataset2Vec: learning dataset meta-features

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Springer Science and Business Media LLC, 2021

Published in: Data Mining and Knowledge Discovery, 35 (2021) 3, Seite 964-985
Jawed, Shayan; Jomaa, Hadi; Schmidt-Thieme, Lars; Grabocka, Josif

Machine Learning and Knowledge Discovery in Databases. Research Track: Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets

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Springer International Publishing, 2021

Published in: Machine Learning and Knowledge Discovery in Databases. Research Track (2021), Seite 485-501
Nguyen, Hanh T. H.; Wistuba, Martin; Grabocka, Josif; Drumond, Lucas Rego; Schmidt-Thieme, Lars

Advances in Knowledge Discovery and Data Mining: Personalized Deep Learning for Tag Recommendation

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Springer International Publishing, 2017

Published in: Advances in Knowledge Discovery and Data Mining (2017), Seite 186-197

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