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Ashima Chawla
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2020 – today
- 2024
- [j2]Shirwan Piroti, Ashima Chawla, Tahar Zanouda:
Mobile Network Configuration Recommendation Using Deep Generative Graph Neural Network. IEEE Netw. Lett. 6(3): 179-182 (2024) - [i1]Shirwan Piroti, Ashima Chawla, Tahar Zanouda:
Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network. CoRR abs/2406.04779 (2024) - 2023
- [j1]Luis Blanco, Slawomir Kuklinski, Engin Zeydan, Farhad Rezazadeh, Ashima Chawla, Lanfranco Zanzi, Francesco Devoti, Robert Kolakowski, Vasiliki Vlahodimitropoulou, Ioannis P. Chochliouros, Anne-Marie Bosneag, Sihem Cherrared, Luis A. Garrido, Sergio Barrachina-Muñoz, Josep Mangues:
AI-Driven Framework for Scalable Management of Network Slices. IEEE Commun. Mag. 61(11): 216-222 (2023) - [c8]Kostas Ramantas, Anastasios N. Bikos, Walter Nitzold, Sofie Pollin, Adlen Ksentini, Sylvie Mayrargue, Vasileios Theodorou, Loizos Christofi, Georgios Gardikis, Md. Arifur Rahman, Ashima Chawla, Francisco Ibañez, Ioannis P. Chochliouros, Didier Nicholson, Mario Montagudand, Arman Shojaeifard, Alexios Pagkotzidis, Christos V. Verikoukis:
6G-BRICKS: Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies. GLOBECOM (Workshops) 2023: 751-756 - [c7]Ioannis P. Chochliouros, John S. Vardakas, Kostas Ramantas, Sofie Pollin, Sylvie Mayrargue, Adlen Ksentini, Walter Nitzold, Md. Arifur Rahman, Jimmy O'Meara, Ashima Chawla, Dimitrios Kritharidis, Vasileios Theodorou, Shuaib Siddiqui, Francisco Ibañez, Georgios Gardikis, Dimitris Diagourtas, Loizos Christofi, Alain Mourad, Didier Nicholson, Alexandros Kostopoulos, Anastasia S. Spiliopoulou, Christos V. Verikoukis:
6G-BRICKS: Developing a Modern Experimentation Facility for Validation, Testing and Showcasing of 6G Breakthrough Technologies and Devices. AIAI Workshops 2023: 17-31 - [c6]Ashima Chawla, Anne-Marie Bosneag, Anestis Dalgkitsis:
Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks. NOMS 2023: 1-6 - 2022
- [c5]Anestis Dalgkitsis, Ashima Chawla, Anne-Marie Bosneag, Christos V. Verikoukis:
SafeSCHEMA: Multi-domain Orchestration of Slices based on SafeRL for B5G Networks. GLOBECOM 2022: 3435-3440 - [c4]Ashima Chawla, Paul Jacob, Paddy G. Farrell, Erik Aumayr, Sheila Fallon:
Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop. NOMS 2022: 1-9 - 2021
- [c3]Ashima Chawla, Pradeep Babu, Trushnesh Gawande, Erik Aumayr, Paul Jacob, Sheila Fallon:
Intelligent Monitoring of IoT Devices using Neural Networks. ICIN 2021: 137-139 - 2020
- [c2]Ashima Chawla, Paul Jacob, Saman Feghhi, Devashish Rughwani, Sven van der Meer, Sheila Fallon:
Interpretable Unsupervised Anomaly Detection For RAN Cell Trace Analysis. CNSM 2020: 1-5
2010 – 2019
- 2018
- [c1]Ashima Chawla, Brian Lee, Sheila Fallon, Paul Jacob:
Host Based Intrusion Detection System with Combined CNN/RNN Model. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 149-158
Coauthor Index
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