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Zainab Abbas
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Streaming graph partitioning: an experimental study
Z Abbas, V Kalavri, P Carbone, V Vlassov
Proceedings of the VLDB Endowment 11 (11), 1590-1603, 2018
1242018
Short-term traffic prediction using long short-term memory neural networks
Z Abbas, A Al-Shishtawy, S Girdzijauskas, V Vlassov
2018 IEEE international congress on big data (BigData Congress), 57-65, 2018
532018
Privacy preserving time-series forecasting of user health data streams
S Imtiaz, SF Horchidan, Z Abbas, M Arsalan, HN Chaudhry, V Vlassov
2020 IEEE International Conference on Big Data (Big Data), 3428-3437, 2020
222020
Real-time traffic jam detection and congestion reduction using streaming graph analytics
Z Abbas, P Sottovia, MAH Hassan, D Foroni, S Bortoli
2020 IEEE International Conference on Big Data (Big Data), 3109-3118, 2020
132020
GCNSplit bounding the state of streaming graph partitioning
M Zwolak, Z Abbas, S Horchidan, P Carbone, V Kalavri
Proceedings of the Fifth International Workshop on Exploiting Artificial …, 2022
72022
Graph representation matters in device placement
M Mitropolitsky, Z Abbas, AH Payberah
Proceedings of the Workshop on Distributed Infrastructures for Deep Learning …, 2020
72020
Scaling deep learning models for large spatial time-series forecasting
Z Abbas, JR Ivarsson, A Al-Shishtawy, V Vlassov
2019 IEEE International Conference on Big Data (Big Data), 1587-1594, 2019
72019
Evaluation of the use of streaming graph processing algorithms for road congestion detection
Z Abbas, TT Sigurdsson, A Al-Shishtawy, V Vlassov
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
52018
Privacy preserving survival prediction
S Fedeli, F Schain, S Imtiaz, Z Abbas, V Vlassov
2021 IEEE International Conference on Big Data (Big Data), 4600-4608, 2021
32021
Energy-Efficient Privacy-Preserving Time-Series Forecasting on User Health Data Streams
M Arsalan, D Di Matteo, S Imtiaz, Z Abbas, V Vlassov, V Issakov
2022 IEEE International Conference on Trust, Security and Privacy in …, 2022
22022
Streaming Graph Partitioning: Degree Project in Distributed Computing at KTH Information and Communication Technology
Z Abbas
22016
Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning
Z Abbas
KTH Royal Institute of Technology, 2021
2021
Enhanced Demand-Supply Matching in E-Commerce Using Deep Learning Techniques
P Malik, P Singh, Z Abbas, H Jain, M Bhawsar
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)| 978-1-6654-9425-0/22/$31.00© 2022 IEEE| DOI: 10.1109/TrustCom56396 …
M Abadeer, Z Abbas, AZ Alalmaie, F Alam, Z Alam, L Alber, E Altuncu, ...
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Articles 1–14