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A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.

S. Gandhi, T. Oates, A. Boedihardjo, C. Chen, J. Lin, P. Senin, S. Frankenstein, and X. Wang. PIKM@CIKM, page 19-25. ACM, (2015)

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Eberhard Sening

Wolfgang Sening

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Wieland Werther Pavel

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RPM: Representative Pattern Mining for Efficient Time Series Classification.X. Wang, J. Lin, P. Senin, T. Oates, S. Gandhi, A. Boedihardjo, C. Chen, and S. Frankenstein. EDBT, page 185-196. OpenProceedings.org, (2016)Deep-Learning Based Cell Segmentation and Deconvolution in Spatial Transcriptomics.M. Kamel, A. Sarangi, C. Qin, H. Barot, P. Senin, S. Villordo, S. Mathew, A. Planas, and Z. Bar-Joseph. BCB, page 68:1. ACM, (2023)Finding discriminative and interpretable patterns in sequences of surgical activities.G. Forestier, F. Petitjean, P. Senin, L. Riffaud, P. Hénaux, and P. Jannin. Artif. Intell. Medicine, (2017)SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model.P. Senin, and S. Malinchik. ICDM, page 1175-1180. IEEE Computer Society, (2013)MBPD: Motif-Based Period Detection.R. Otunba, J. Lin, and P. Senin. PAKDD Workshops, volume 8643 of Lecture Notes in Computer Science, page 793-804. Springer, (2014)Time series anomaly discovery with grammar-based compression.P. Senin, J. Lin, X. Wang, T. Oates, S. Gandhi, A. Boedihardjo, C. Chen, and S. Frankenstein. EDBT, page 481-492. OpenProceedings.org, (2015)GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns.P. Senin, J. Lin, X. Wang, T. Oates, S. Gandhi, A. Boedihardjo, C. Chen, and S. Frankenstein. ACM Trans. Knowl. Discov. Data, 12 (1): 10:1-10:28 (2018)A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.S. Gandhi, T. Oates, A. Boedihardjo, C. Chen, J. Lin, P. Senin, S. Frankenstein, and X. Wang. PIKM@CIKM, page 19-25. ACM, (2015)GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series.P. Senin, J. Lin, X. Wang, T. Oates, S. Gandhi, A. Boedihardjo, C. Chen, S. Frankenstein, and M. Lerner. ECML/PKDD (3), volume 8726 of Lecture Notes in Computer Science, page 468-472. Springer, (2014)STAVIS 2.0: Mining Spatial Trajectories via Motifs.C. Chen, A. Boedihardjo, B. Jenkins, C. Ellison, J. Lin, P. Senin, and T. Oates. SSTD, volume 10411 of Lecture Notes in Computer Science, page 433-439. Springer, (2017)

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Disambiguation of "Senin, Pavel"

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A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.

Please choose a person to relate this publication to

Eberhard Sening

Wolfgang Sening

Christoph Sening

Renate Sening

Wieland Werther Pavel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Senin, Pavel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.

Please choose a person to relate this publication to

Eberhard Sening

Wolfgang Sening

Christoph Sening

Renate Sening

Wieland Werther Pavel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.