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Publication search results
found 34 matches
- 2024
- Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang:
Chronos: Learning the Language of Time Series. CoRR abs/2403.07815 (2024) - 2023
- Mykola Petrenko, Ellen Cohn, Oleksandr Shchurov, Kyrylo Malakhov:
Ontology-Driven Computer Systems: Elementary Senses in Domain Knowledge Processing. South Afr. Comput. J. 35(2) (2023) - Mohamed Qawaqzeh, Farouq M. Al-Taweel, Kinga Stecula, Katarzyna Markowska, Mohammad Al-khawaldah, Tariq M. Younes, Basem Alrifai, Oleksandr Miroshnyk, Taras Shchur:
A Simple Approach to Connecting Pt100 by Utilizing an Electroacoustic Resonance Tube. Sensors 23(5): 2775 (2023) - Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang:
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. AutoML 2023: 9/1-21 - David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann:
Add and Thin: Diffusion for Temporal Point Processes. NeurIPS 2023 - Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang:
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. CoRR abs/2308.05566 (2023) - David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann:
Add and Thin: Diffusion for Temporal Point Processes. CoRR abs/2311.01139 (2023) - 2022
- Oleksandr Shchur:
Modeling Continuous-time Event Data with Neural Temporal Point Processes. Technical University of Munich, Germany, 2022 - Olena S. Holovnia, Natalia O. Shchur, Iryna A. Sverchevska, Yelyzaveta M. Bailiuk, Oleksandra A. Pokotylo:
Interactive surveys during online lectures for IT students. CTE/AREdu 2022: 65-86 - Oleksandr V. Palagin, Kyrylo Malakhov, Vitalii Velychko, Tetiana Semykopna, Oleksandr Shchurov:
Hospital Information Smart-System for Hybrid E-Rehabilitation. UkrPROG 2022: 140-157 - 2021
- Yevhen Havrylenko, Yuliia Kholodniak, Serhii Halko, Oleksandr Vershkov, Larysa Bondarenko, Olena Suprun, Oleksandr Miroshnyk, Taras Shchur, Mscislaw Srutek, Marta Gackowska:
Interpolation with Specified Error of a Point Series Belonging to a Monotone Curve. Entropy 23(5): 493 (2021) - Yevhen Havrylenko, Yuliia Kholodniak, Serhii Halko, Oleksandr Vershkov, Oleksandr Miroshnyk, Olena Suprun, Olena Dereza, Taras Shchur, Mscislaw Srutek:
Representation of a Monotone Curve by a Contour with Regular Change in Curvature. Entropy 23(7): 923 (2021) - Oksana Panchenko, Alla Klochko, Oleksandr Dluhopolskyi, Olexii Klochko, Viktoriia Shchurova, Arkadii Peker:
Impact of the COVID-19 Pandemic on the Development of Artificial Intelligence: Challenges for the Human Rights. ACIT 2021: 744-747 - Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann:
Neural Temporal Point Processes: A Review. IJCAI 2021: 4585-4593 - Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann:
Detecting Anomalous Event Sequences with Temporal Point Processes. NeurIPS 2021: 13419-13431 - Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann:
Neural Temporal Point Processes: A Review. CoRR abs/2104.03528 (2021) - Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann:
Detecting Anomalous Event Sequences with Temporal Point Processes. CoRR abs/2106.04465 (2021) - 2020
- Oleksandr Shchur, Marin Bilos, Stephan Günnemann:
Intensity-Free Learning of Temporal Point Processes. ICLR 2020 - Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann:
Fast and Flexible Temporal Point Processes with Triangular Maps. NeurIPS 2020 - Oleksandr V. Palagin, Vitalii Velychko, Kyrylo Malakhov, Oleksandr Shchurov:
Distributional Semantic Modeling: a Revised Technique to Train Term/Word Vector Space Models Applying the Ontology-related Approach. UkrPROG 2020: 342-352 - Oleksandr V. Palagin, Vitalii Velychko, Kyrylo Malakhov, Oleksandr Shchurov:
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach. CoRR abs/2003.03350 (2020) - Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann:
Fast and Flexible Temporal Point Processes with Triangular Maps. CoRR abs/2006.12631 (2020) - 2019
- Oleksandr Shchur, Marin Bilos, Stephan Günnemann:
Intensity-Free Learning of Temporal Point Processes. CoRR abs/1909.12127 (2019) - Oleksandr Shchur, Stephan Günnemann:
Overlapping Community Detection with Graph Neural Networks. CoRR abs/1909.12201 (2019) - 2018
- Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Günnemann, Yusuf Saber:
Anomaly Detection in Car-Booking Graphs. ICDM Workshops 2018: 604-607 - Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann:
NetGAN: Generating Graphs via Random Walks. ICML 2018: 609-618 - Oleksandr V. Palagin, Vitalii Velychko, Kyrylo Malakhov, Oleksandr Shchurov:
Research and development workstation environment: the new class of Current Research Information Systems. UkrPROG 2018: 255-269 - Oleksandr V. Palagin, K. S. Malakhov, V. Yu. Velichko, O. S. Shurov:
Design and software implementation of subsystems for creating and using the ontological base of a research scientist. CoRR abs/1802.06768 (2018) - Oleksandr V. Palagin, K. S. Malakhov, V. Yu. Velichko, O. S. Shchurov:
Personal research information system. About developing the methods for searching patent analogs of invention. CoRR abs/1802.07544 (2018) - Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann:
NetGAN: Generating Graphs via Random Walks. CoRR abs/1803.00816 (2018)
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