Alaa Othman
13 Publikationen
2025 | Fachbuch | FH-PUB-ID: 5854
Tharwat A. Python Adventures for Young Coders. Explore the World of Programming. Berkeley, CA: Apress; 2025. doi:10.1007/979-8-8688-1067-1
HSBI-PUB
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2025 | Artikel | FH-PUB-ID: 5853 | 
Eid MM, ElDahshan K, Abouali AH, Tharwat A. Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance. Algorithms. 2025;18(3). doi:10.3390/a18030119
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5570
Tharwat A, Herde M, Pham MT, Sick B. Tutorial: Interactive Adaptive Learning. In: ; 2024.
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2024 | Artikel | FH-PUB-ID: 5568
Tharwat A, Schenck W. Active Learning for Handling Missing Data. IEEE Transactions on Neural Networks and Learning Systems. 2024;36(2):3273-3287. doi:10.1109/TNNLS.2024.3352279
HSBI-PUB
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2024 | Artikel | FH-PUB-ID: 5566
Tharwat A, Schenck W. Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. IEEE Transactions on Knowledge and Data Engineering. 2024;36(8):4317-4330. doi:10.1109/TKDE.2024.3365189
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5495
Tharwat A, Schenck W. Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. IEEE Transactions on Knowledge and Data Engineering. 2024;36(8):4317-4330. doi:10.1109/TKDE.2024.3365189
HSBI-PUB
| DOI
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 5569
Tharwat A, Bunse M, Hammer B, Krempl G, Lemaire V, Amal Saadallah. Tutorial: Interactive Adaptive Learning. In: ; 2023.
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2023 | Artikel | FH-PUB-ID: 2774 |
Tharwat A, Schenck W. A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. Mathematics. 2023;11(4). doi:10.3390/math11040820
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2022 | Artikel | FH-PUB-ID: 2775 |
Tharwat A, Schenck W. A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. Mathematics. 2022;10(7). doi:10.3390/math10071068
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2021 | Artikel | FH-PUB-ID: 1202
Tharwat A, Schenck W. A conceptual and practical comparison of PSO-style optimization algorithms. Expert Systems with Applications. 2021;167. doi:10.1016/j.eswa.2020.114430
HSBI-PUB
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2021 | Artikel | FH-PUB-ID: 2777
Tharwat A, Schenck W. Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. Swarm and Evolutionary Computation. 2021;67. doi:10.1016/j.swevo.2021.100952
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1204
Tharwat A, Schenck W. Balancing Exploration and Exploitation: A novel active learner for imbalanced data. Knowledge-Based Systems. 2020;210. doi:10.1016/j.knosys.2020.106500
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann D, Tharwat A, Schenck W. How to Label? Combining Experts’ Knowledge for German Text Classification. In: 2020 7th Swiss Conference on Data Science (SDS). IEEE; 2020:61-62. doi:10.1109/SDS49233.2020.00023
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13 Publikationen
2025 | Fachbuch | FH-PUB-ID: 5854
Tharwat A. Python Adventures for Young Coders. Explore the World of Programming. Berkeley, CA: Apress; 2025. doi:10.1007/979-8-8688-1067-1
HSBI-PUB
| DOI
2025 | Artikel | FH-PUB-ID: 5853 |
Eid MM, ElDahshan K, Abouali AH, Tharwat A. Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance. Algorithms. 2025;18(3). doi:10.3390/a18030119
HSBI-PUB
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5570
Tharwat A, Herde M, Pham MT, Sick B. Tutorial: Interactive Adaptive Learning. In: ; 2024.
HSBI-PUB
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5568
Tharwat A, Schenck W. Active Learning for Handling Missing Data. IEEE Transactions on Neural Networks and Learning Systems. 2024;36(2):3273-3287. doi:10.1109/TNNLS.2024.3352279
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5566
Tharwat A, Schenck W. Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. IEEE Transactions on Knowledge and Data Engineering. 2024;36(8):4317-4330. doi:10.1109/TKDE.2024.3365189
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5495
Tharwat A, Schenck W. Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. IEEE Transactions on Knowledge and Data Engineering. 2024;36(8):4317-4330. doi:10.1109/TKDE.2024.3365189
HSBI-PUB
| DOI
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 5569
Tharwat A, Bunse M, Hammer B, Krempl G, Lemaire V, Amal Saadallah. Tutorial: Interactive Adaptive Learning. In: ; 2023.
HSBI-PUB
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2774 |
Tharwat A, Schenck W. A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. Mathematics. 2023;11(4). doi:10.3390/math11040820
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2775 |
Tharwat A, Schenck W. A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. Mathematics. 2022;10(7). doi:10.3390/math10071068
HSBI-PUB
| DOI
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 1202
Tharwat A, Schenck W. A conceptual and practical comparison of PSO-style optimization algorithms. Expert Systems with Applications. 2021;167. doi:10.1016/j.eswa.2020.114430
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 2777
Tharwat A, Schenck W. Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. Swarm and Evolutionary Computation. 2021;67. doi:10.1016/j.swevo.2021.100952
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1204
Tharwat A, Schenck W. Balancing Exploration and Exploitation: A novel active learner for imbalanced data. Knowledge-Based Systems. 2020;210. doi:10.1016/j.knosys.2020.106500
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann D, Tharwat A, Schenck W. How to Label? Combining Experts’ Knowledge for German Text Classification. In: 2020 7th Swiss Conference on Data Science (SDS). IEEE; 2020:61-62. doi:10.1109/SDS49233.2020.00023
HSBI-PUB
| DOI