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Results 1 - 20 of 40  for Central Connecticut State University

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NeuralWarp: Time-Series Similarity with Warping Networks

Grabocka, Josif ; Schmidt-Thieme, Lars

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Calculation of upper esophageal sphincter restitution time from high resolution manometry data using machine learning

Jungheim, Michael ; Busche, Andre ; Miller, Simone ; Schilling, Nicolas ; Schmidt-Thieme, Lars ; Ptok, Martin

Physiology & Behavior, 15 October 2016, Vol.165, pp.413-424 [Peer Reviewed Journal]

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Invariant time-series factorization

Grabocka, Josif ; Schmidt-Thieme, Lars

Data Mining and Knowledge Discovery, 2014, Vol.28(5), pp.1455-1479 [Peer Reviewed Journal]

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Invariant Factorization Of Time-Series

Grabocka, Josif ; Schmidt-Thieme, Lars

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5
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Scalable Discovery of Time-Series Shapelets

Grabocka, Josif ; Wistuba, Martin ; Schmidt-Thieme, Lars

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Time-Series Classification Through Histograms of Symbolic Polynomials

Grabocka, Josif ; Wistuba, Martin ; Schmidt-Thieme, Lars

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7
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Optimal Time-Series Motifs

Grabocka, Josif ; Schilling, Nicolas ; Schmidt-Thieme, Lars

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8
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Ultra-Fast Shapelets for Time Series Classification

Wistuba, Martin ; Grabocka, Josif ; Schmidt-Thieme, Lars

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9
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Scalable Gaussian process-based transfer surrogates for hyperparameter optimization

Wistuba, Martin ; Schilling, Nicolas ; Schmidt-Thieme, Lars

Machine Learning, 2018, Vol.107(1), pp.43-78 [Peer Reviewed Journal]

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10
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Buried pipe localization using an iterative geometric clustering on GPR data

Janning, Ruth ; Busche, Andre ; Horváth, Tomáš ; Schmidt-Thieme, Lars

Artificial Intelligence Review, 2014, Vol.42(3), pp.403-425 [Peer Reviewed Journal]

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11
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Collaborative SVM classification in scale-free peer-to-peer networks

Khan, Umer ; Schmidt-Thieme, Lars ; Nanopoulos, Alexandros

Expert Systems With Applications, 01 March 2017, Vol.69, pp.74-86 [Peer Reviewed Journal]

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12
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GRAMOFON: General model-selection framework based on networks

Buza, Krisztian ; Nanopoulos, Alexandros ; Horváth, Tomáš ; Schmidt-Thieme, Lars

Neurocomputing, 2012, Vol.75(1), pp.163-170 [Peer Reviewed Journal]

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A supervised active learning framework for recommender systems based on decision trees

Karimi, Rasoul ; Nanopoulos, Alexandros ; Schmidt-Thieme, Lars

User Modeling and User-Adapted Interaction, 2015, Vol.25(1), pp.39-64 [Peer Reviewed Journal]

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14
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Perceived Task-Difficulty Recognition from Log-file Information for the Use in Adaptive Intelligent Tutoring Systems

Janning, Ruth ; Schatten, Carlotta ; Schmidt-Thieme, Lars

International Journal of Artificial Intelligence in Education, 2016, Vol.26(3), pp.855-876 [Peer Reviewed Journal]

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15
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Fast classification of univariate and multivariate time series through shapelet discovery

Grabocka, Josif ; Wistuba, Martin ; Schmidt-Thieme, Lars

Knowledge and Information Systems, 2016, Vol.49(2), pp.429-454 [Peer Reviewed Journal]

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16
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Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials

Grabocka, Josif ; Wistuba, Martin ; Schmidt-Thieme, Lars

IEEE Transactions on Knowledge and Data Engineering, 01 June 2015, Vol.27(6), pp.1683-1695 [Peer Reviewed Journal]

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17
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Channel masking for multivariate time series shapelets

Raychaudhuri, Dripta S. ; Grabocka, Josif ; Schmidt-Thieme, Lars

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18
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BPR: Bayesian Personalized Ranking from Implicit Feedback

Rendle, Steffen ; Freudenthaler, Christoph ; Gantner, Zeno ; Schmidt-Thieme, Lars

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19
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Multi-Relational Learning at Scale with ADMM

Drumond, Lucas ; Diaz-Aviles, Ernesto ; Schmidt-Thieme, Lars

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20
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Bank Card Usage Prediction Exploiting Geolocation Information

Wistuba, Martin ; Duong-Trung, Nghia ; Schilling, Nicolas ; Schmidt-Thieme, Lars

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