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ORCIDMerih Seran Uysal
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- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2024
[c42]Tobias Brockhoff
, Moritz Nicolas Gose, Merih Seran Uysal, Wil M. P. van der Aalst:
Process Comparison Using Petri Net Decomposition. Petri Nets 2024: 83-105- [c41]Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Process Comparison Based on Selection-Projection Structures. CAiSE 2024: 20-35 - [c40]Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Wasserstein Weight Estimation for Stochastic Petri Nets. ICPM 2024: 81-88 - 2023
- [c39]Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst:
Discovering high-quality process models despite data scarcity. ER (Companion) 2023 - [i12]Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst:
Discovering High-Quality Process Models Despite Data Scarcity. CoRR abs/2310.11332 (2023) - 2022
- [c38]Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst:
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. BPMDS/EMMSAD@CAiSE 2022: 173-187 - [c37]Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Modeling Digital Shadows in Manufacturing by Using Process Mining. Modellierung (Workshops) 2022: 133-138 - [i11]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
An XES Extension for Uncertain Event Data. CoRR abs/2204.04135 (2022) - [i10]Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst:
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. CoRR abs/2204.04164 (2022) - [i9]Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst:
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. CoRR abs/2212.00009 (2022) - 2021
- [j2]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance checking over uncertain event data. Inf. Syst. 102: 101810 (2021) - [c36]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. Petri Nets 2021: 476-486 - [c35]Merih Seran Uysal, Dominik Hüser, Wil M. P. van der Aalst:
Optimization-Based Business Process Model Matching. BIS 2021: 61-72 - [c34]Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. BIS 2021: 221-232 - [c33]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
An XES Extension for Uncertain Event Data. BPM (PhD/Demos) 2021: 116-120 - [c32]Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst:
Probability Estimation of Uncertain Process Trace Realizations. ICPM Workshops 2021: 21-33 - [c31]Tobias Brockhoff, Merih Seran Uysal, Isabelle Terrier, Heiko Göhner, Wil M. P. van der Aalst:
Analyzing Multi-level BOM-Structured Event Data. ICPM Workshops 2021: 47-59 - [c30]Tobias Brockhoff, Malte Heithoff, István Koren, Judith Michael, Jérôme Pfeiffer, Bernhard Rumpe, Merih Seran Uysal, Wil M. P. van der Aalst, Andreas Wortmann:
Process Prediction with Digital Twins. MoDELS (Companion) 2021: 182-187 - [i8]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. CoRR abs/2103.05564 (2021) - [i7]Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. CoRR abs/2104.09962 (2021) - [i6]Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan J. van Zelst:
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). CoRR abs/2107.13066 (2021) - [i5]Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst:
Probability Estimation of Uncertain Process Trace Realizations. CoRR abs/2108.08615 (2021) - 2020
- [j1]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. Algorithms 13(11): 285 (2020) - [c29]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. BIS 2020: 76-88 - [c28]Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan J. van Zelst:
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). DATA (Revised Selected Papers) 2020: 1-31 - [c27]Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Time-aware Concept Drift Detection Using the Earth Mover's Distance. ICPM 2020: 33-40 - [i4]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. CoRR abs/2002.08225 (2020) - [i3]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance Checking over Uncertain Event Data. CoRR abs/2009.14452 (2020) - [i2]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. CoRR abs/2010.00334 (2020)
2010 – 2019
- 2019
- [c26]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Discovering Process Models from Uncertain Event Data. Business Process Management Workshops 2019: 238-249 - [i1]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Discovering Process Models from Uncertain Event Data. CoRR abs/1909.11567 (2019) - 2017
- [b1]Merih Seran Uysal:
Efficient similarity search in large multimedia databases. RWTH Aachen University, Germany, Apprimus Verlag 2017, ISBN 978-3-86359-502-9 - [c25]Merih Seran Uysal, Kai Driessen, Tobias Brockhoff, Thomas Seidl:
Fast Similarity Search with the Earth Mover's Distance via Feasible Initialization and Pruning. SISAP 2017: 141-155 - 2016
- [c24]Merih Seran Uysal, Daniel Sabinasz, Thomas Seidl:
Approximation-Based Efficient Query Processing with the Earth Mover's Distance. DASFAA (2) 2016: 165-180 - [c23]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Jochen Schmücking, Thomas Seidl:
Efficient Query Processing using the Earth's Mover Distance in Video Databases. EDBT 2016: 389-400 - [c22]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Distance-based Multimedia Indexing. EDBT 2016: 722-723 - [c21]Klaus Schoeffmann, Christian Beecks, Mathias Lux, Merih Seran Uysal, Thomas Seidl:
Content-based retrieval in videos from laparoscopic surgery. Medical Imaging: Image-Guided Procedures 2016: 97861V - 2015
- [c20]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Gradient-based signatures for big multimedia data. IEEE BigData 2015: 2834-2835 - [c19]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Distance-based Multimedia Indexing. BTW Workshops 2015: 265-268 - [c18]Merih Seran Uysal, Christian Beecks, Thomas Seidl:
On efficient content-based near-duplicate video detection. CBMI 2015: 1-6 - [c17]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl:
Large-scale Efficient and Effective Video Similarity Search. LSDS-IR@CIKM 2015: 3-8 - [c16]Christian Beecks, Merih Seran Uysal, Judith Hermanns, Thomas Seidl:
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. CIKM 2015: 1241-1250 - [c15]Christian Beecks, Klaus Schoeffmann, Mathias Lux, Merih Seran Uysal, Thomas Seidl:
Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments. ISM 2015: 33-38 - [c14]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison. ISM 2015: 233-236 - [c13]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl:
Effective Content-Based Near-Duplicate Video Detection. ISM 2015: 254-257 - [c12]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Content-Based Image Retrieval with Gaussian Mixture Models. MMM (1) 2015: 294-305 - [c11]Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl:
FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance. SISAP 2015: 347-350 - [c10]Merih Seran Uysal, Christian Beecks, Jochen Schmücking, Thomas Seidl:
Efficient similarity search in scientific databases with feature signatures. SSDBM 2015: 30:1-30:12 - 2014
- [c9]Merih Seran Uysal, Christian Beecks, Thomas Seidl:
On Efficient Query Processing with the Earth Mover's Distance. PIKM@CIKM 2014: 25-32 - [c8]Merih Seran Uysal, Christian Beecks, Jochen Schmücking, Thomas Seidl:
Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. CIKM 2014: 979-988 - 2013
- [c7]Christian Beecks, Merih Seran Uysal, Philip Driessen, Thomas Seidl:
Content-based exploration of multimedia databases. CBMI 2013: 59-64 - 2011
- [c6]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases. MMM (1) 2011: 381-391 - 2010
- [c5]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Signature Quadratic Form Distance. CIVR 2010: 438-445 - [c4]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. ICDE Workshops 2010: 10-15 - [c3]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
A comparative study of similarity measures for content-based multimedia retrieval. ICME 2010: 1552-1557 - [c2]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Similarity matrix compression for efficient signature quadratic form distance computation. SISAP 2010: 109-114
2000 – 2009
- 2009
- [c1]Christian Beecks, Merih Seran Uysal, Thomas Seidl:
Signature quadratic form distances for content-based similarity. ACM Multimedia 2009: 697-700
Coauthor Index
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last updated on 2024-10-02 20:41 CEST by the dblp team
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