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Journal Articles
- 2024
[j6]Firas Bayram
, Bestoun S. Ahmed, Erik Hallin:
Adaptive data quality scoring operations framework using drift-aware mechanism for industrial applications. J. Syst. Softw. 217: 112184 (2024)- 2023
- [j5]Firas Bayram, Phil Aupke, Bestoun S. Ahmed, Andreas Kassler, Andreas D. Theocharis, Jonas Forsman:
DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks. Eng. Appl. Artif. Intell. 123(Part C): 106480 (2023) - [j4]Hamza Chahed, Muhammad Usman, Ayan Chatterjee, Firas Bayram, Rajat Chaudhary, Anna Brunström, Javid Taheri, Bestoun S. Ahmed, Andreas Kassler:
AIDA - A holistic AI-driven networking and processing framework for industrial IoT applications. Internet Things 22: 100805 (2023) - [j3]Firas Bayram, Bestoun S. Ahmed:
A domain-region based evaluation of ML performance robustness to covariate shift. Neural Comput. Appl. 35(24): 17555-17577 (2023) - 2022
- [j2]Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, Philipp Leitner:
A systematic mapping study of source code representation for deep learning in software engineering. IET Softw. 16(4): 351-385 (2022) - [j1]Firas Bayram, Bestoun S. Ahmed, Andreas Kassler:
From concept drift to model degradation: An overview on performance-aware drift detectors. Knowl. Based Syst. 245: 108632 (2022)
Conference and Workshop Papers
- 2023
- [c3]Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman:
DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications. EASE 2023: 32-41 - 2022
- [c2]Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman:
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes. ASE 2022: 129:1-129:5 - 2021
- [c1]Firas Bayram, Davide Garbarino, Annalisa Barla:
Predicting Tennis Match Outcomes with Network Analysis and Machine Learning. SOFSEM 2021: 505-518
Informal and Other Publications
- 2024
- [i6]Firas Bayram, Bestoun S. Ahmed, Erik Hallin:
Adaptive Data Quality Scoring Operations Framework using Drift-Aware Mechanism for Industrial Applications. CoRR abs/2408.06724 (2024) - 2023
- [i5]Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman:
DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications. CoRR abs/2303.15068 (2023) - [i4]Firas Bayram, Bestoun S. Ahmed:
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift. CoRR abs/2304.08855 (2023) - [i3]Firas Bayram, Phil Aupke, Bestoun S. Ahmed, Andreas Kassler, Andreas D. Theocharis, Jonas Forsman:
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks. CoRR abs/2305.08767 (2023) - 2022
- [i2]Firas Bayram, Bestoun S. Ahmed, Andreas Kassler:
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors. CoRR abs/2203.11070 (2022) - [i1]Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman:
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes. CoRR abs/2208.07037 (2022)
Coauthor Index
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