Sobieczky, Florian
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1

Learning the inhomogenous term of a linear ODE:

Sobieczky, Florian ; Dudkin, Erika ; Zesinek, Jan
Procedia Computer Science.  232 (2024)  - p. 1548-1553 , 2024
 
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2

Prescriptive Analytics: When Data- and Simulation-based Mod..:

, In: 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC),
 
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3

Applying Time-Inhomogeneous Markov Chains to Math Performan..:

, In: Communications in Computer and Information Science; Database and Expert Systems Applications - DEXA 2022 Workshops,
 
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4

Database and Expert Systems Applications - DEXA 2022 Worksh.. 

Communications in Computer and Information Science, 1633
Kotsis, Gabriele ; Tjoa, A Min ; Khalil, Ismail... - 1st ed. 2022 . , 2022
 
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6

A Comparative Analysis of Anomaly Detection Methods for Pre..:

, In: Communications in Computer and Information Science; Database and Expert Systems Applications - DEXA 2022 Workshops,
Qasim, Muhammad ; Khan, Maqbool ; Mehmood, Waqar... - p. 22-31 , 2022
 
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8

Database and Expert Systems Applications - DEXA 2021 Worksh.. 

Communications in Computer and Information Science, 1479
Kotsis, Gabriele ; Tjoa, A Min ; Khalil, Ismail... - 1st ed. 2021 . , 2021
 
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9

Missing Data Patterns: From Theory to an Application in the..:

, In: 33rd International Conference on Scientific and Statistical Database Management,
 
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11

Unimodularity of Network Representations of Time-Series for..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,
Sobieczky, Florian - p. 167-175 , 2020
 
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12

Enhancing Industrial Maintenance Through Intelligent Data A..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,
 
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14

Applying AI in Practice: Key Challenges and Lessons Learned:

, In: Lecture Notes in Computer Science; Machine Learning and Knowledge Extraction,
Fischer, Lukas ; Ehrlinger, Lisa ; Geist, Verena... - p. 451-471 , 2020
 
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