2024
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1. |
Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis. A graph neural approach for group recommendation system based on pairwise preferences. Information Fusion 2024 ;Volum 107. s. 102343- OSLOMET UiO NTNU USN
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2. |
Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Relative evaluation of probabilistic methods for spatio-temporal wind forecasting. Journal of Cleaner Production 2024 ;Volum 434. s. - UiO IFE
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3. |
Khan, Mehak; Borges Moreno e Mello, Gustavo; Habib, Laurence; Engelstad, Paal; Yazidi, Anis. HITS-based Propagation Paradigm for Graph Neural Networks. ACM Transactions on Knowledge Discovery from Data 2024 ;Volum 18.(4) s. 1-23 HVL OSLOMET
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2023
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4. |
Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E.. A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. Energies 2023 ;Volum 16.(20) s. - IFE UiO
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5. |
Khan, Mehak; Borges Moreno e Mello, Gustavo; Engelstad, Paal E.; Habib, Laurence; Yazidi, Anis. HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. I: 2022 IEEE International Conference on Big Data. IEEE (Institute of Electrical and Electronics Engineers) 2023 ISBN 978-1-6654-8045-1. s. - OSLOMET
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6. |
Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal E.. Unsupervised State Representation Learning in Partially Observable Atari Games. I: Computer Analysis of Images and Patterns. CAIP 2023. Springer 2023 ISBN 978-3-031-44239-1. s. 212-222 UIA UiO OSLOMET
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7. |
Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E.. Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. I: Proceedings of the 2023 33rd International Telecommunication Networks and Applications Conference (ITNAC). IEEE conference proceedings 2023 ISBN 979-8-3503-1713-8. s. 128-133 UiO SINTEF
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8. |
Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E.. Exploiting Cooperative Downlink NOMA in D2D Communications. Sensors 2023 ;Volum 23.(8) s. - SINTEF UiO
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2022
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9. |
Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis. A personality-aware group recommendation system based on pairwise preferences. Information Sciences 2022 ;Volum 595. s. 1-17 OSLOMET NTNU
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10. |
Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis. Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems 2022 ;Volum 256. OSLOMET NTNU
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11. |
Aryan, Ramtin; Yazidi, Anis; Brattensborg, Frode Henriksen; Kure, Øivind; Engelstad, Paal E.. SDN Spotlight: A real-time OpenFlow troubleshooting framework. Future Generation Computer Systems 2022 ;Volum 133. s. 364-377 OSLOMET OUS UiO NTNU
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12. |
Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks. Journal of Physics: Conference Series (JPCS) 2022 ;Volum 2362. s. - UiO IFE
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13. |
Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. Applied Energy 2022 ;Volum 333. s. - IFE UiO
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14. |
Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal. Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. Journal of Physics: Conference Series (JPCS) 2022 ;Volum 2265. IFE UiO
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15. |
Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri. Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. I: Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. Springer Nature 2022 ISBN 978-3-031-08223-8. s. 461-474 UIA UiO FFI
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16. |
Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal. Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Transactions on Games (TG) 2022 ;Volum 15.(4) s. 580-589 NTNU OSLOMET UIA OUS UiO
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17. |
Meng, Li; Yazidi, Anis; Goodwin, Morten; Engelstad, Paal. Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. Proceedings of the Northern Lights Deep Learning Workshop 2022 s. - NTNU OSLOMET UIA OUS UiO
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18. |
Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E.. Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks. IEEE Sensors Journal 2022 ;Volum 22.(19) s. 19030-19045 SINTEF UiO
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2020
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19. |
Aryan, Ramtin; Yazidi, Anis; Bouhoula, Adel; Engelstad, Paal E.. Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies. Conference on Local Computer Networks 2020 s. - UiO OSLOMET
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20. |
Aryan, Ramtin; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E.. A parallel approach for detecting OpenFlow rule anomalies based on a general formalism. Concurrency and Computation 2020 s. - UiO OSLOMET
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21. |
Hagos, Desta Haileselassie; Løland, Martin V.; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E.. Advanced passive operating system fingerprinting using machine learning and deep learning. Computer Communications and Networks 2020 s. 1-11 UiO OSLOMET
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22. |
Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal. A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature. IEEE Internet of Things Journal 2020 OSLOMET UiO
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23. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access. I: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE 2020 ISBN 978-1-7281-4491-7. s. - OSLOMET UiO
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24. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. Capacity Enhancement of NOMA‐SWIPT IoT Relay System with Direct Links over Rayleigh Fading Channels. Transactions on Emerging Telecommunications Technologies 2020 s. - UiO OSLOMET
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25. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. Ergodic Capacity Performance of D2D IoT Relay NOMA-SWIPT Systems with Direct Links. I: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). IEEE 2020 ISBN 978-1-7281-6377-2. s. 117-123 UiO OSLOMET
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26. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. Ergodic Capacity Performance of NOMA-SWIPT Aided IoT Relay Systems with Direct Link. I: 2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE 2020 ISBN 978-3-903176-29-4. s. 222-229 UiO OSLOMET
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27. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. Ergodic Sum Capacity Analysis of NOMA‐SWIPT Enabled IoT Relay Systems. Internet Technology Letters (ITL) 2020 ;Volum 4.(2) s. - OSLOMET UiO
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28. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. Exploiting SWIPT for IoT NOMA-based Diamond Relay Networks. I: MobiQuitous '20: Computing, Networking and Services, Virtual Event / Darmstadt, Germany, December 7-9, 2020. ACM 2020. ACM Digital Library 2020 ISBN 978-1-4503-8840-5. s. 137-146 UiO OSLOMET
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29. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. On the Performance of Bidirectional NOMA-SWIPT Enabled IoT Relay Networks. IEEE Sensors Journal 2020 ;Volum 21.(2) s. 2299-2315 OSLOMET UiO
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30. |
Rauniyar, Ashish; Yazidi, Anis; Engelstad, Paal E.; Østerbø, Olav Norvald. A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA. I: 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA). IEEE 2020 ISBN 978-1-7281-8327-5. s. - OSLOMET NTNU
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31. |
Upreti, Ramesh; Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Engelstad, Paal E.; Yazidi, Anis. Adaptive Pursuit Learning for Energy‐efficient Target Coverage in Wireless Sensor Networks. Concurrency and Computation 2020 s. - OSLOMET UiO
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2019
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32. |
Aryan, Ramtin; Brattensborg, Frode Henriksen; Yazidi, Anis; Engelstad, Paal. Checking the OpenFlow Rule Installation and Operational Verification. I: 44th Annual IEEE Conference on Local Computer Networks (LCN 2019). IEEE 2019 ISBN 978-1-7281-1028-8. s. 250-253 OSLOMET UiO
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33. |
Aryan, Ramtin; Brattensborg, Frode; Yazidi, Anis; Engelstad, Paal E.. Checking the OpenFlow Rule Installation and Operational Verification. The 44th IEEE Conference on Local Computer Networks (LCN); 2019-10-14 - 2019-10-17 OSLOMET UiO
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34. |
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis. Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. I: 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA). IEEE 2019 ISBN 978-1-7281-2522-0. s. - OSLOMET
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35. |
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten. A Deep Learning Approach to Dynamic Passive RTT. I: 2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC). IEEE Press 2019 ISBN 9781728110257. s. 1-10 UiO OSLOMET
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36. |
HaileselassieHagos, Desta; Engelstad, Paal E.; Yazidi, Anis. Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. ©2019 IEEE; 2019-01-01 UiO OSLOMET
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37. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. Performance Analysis of RF Energy Harvesting and Information Transmission based on NOMA with Interfering Signal for IoT Relay Systems. IEEE Sensors Journal 2019 ;Volum 19.(17) s. 7668-7682 UiO OSLOMET
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38. |
Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis; Engelstad, Paal E.. Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. I: Distributed Computing for Emerging Smart Networks. Netherlands: Springer Nature 2019 ISBN 978-3-030-40131-3. s. 133-147 UiO OSLOMET
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2018
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39. |
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind. General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. IEEE Access 2018 ;Volum 6. s. 28372-28387 OSLOMET NTNU UiO
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40. |
Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.. An Incremental Approach for Swift OpenFlow Anomaly Detection. 2018 IEEE 43rd Conference on Local Computer Networks (LCN); 2018-10-01 - 2018-10-04 OSLOMET UiO
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41. |
Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.. An Incremental Approach for Swift OpenFlow Anomaly Detection. Conference on Local Computer Networks 2018 s. - OSLOMET UiO
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42. |
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Oivind. A machine learning approach to TCP state monitoring from passive measurements. IFIP Wireless Days 2018 ;Volum 2018-April. s. 164-171 UiO OSLOMET NTNU
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43. |
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind. Recurrent neural network-based prediction of TCP transmission states from passive measurements. I: 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE conference proceedings 2018 ISBN 978-1-5386-7659-2. s. 1-10 UiO OSLOMET NTNU
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44. |
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind. Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. I: Proceedings of 27th International Conference on Computer Communication Networks (ICCCN), 2018. Hangzhou, China. IEEE Communications Society 2018 ISBN 978-1-5386-5156-8. s. 1-11 OSLOMET NTNU UiO
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45. |
Kure, Endre Hegland; Engelstad, Paal E.; Maharjan, Sabita; Gjessing, Stein; Zhang, Xing; Zhang, Yan. Energy Usage Forecasting for LTE: A Network-Wide Traffic Measurements Study. I: 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). IEEE Press 2018 ISBN 978-1-5386-4727-1. s. - UiO
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46. |
Kure, Endre Hegland; Engelstad, Paal E.; Maharjan, Sabita; Gjessing, Stein; Zhang, Yan. Distributed Uplink Offloading for IoT in 5G Heterogeneous Networks under Private Information Constraints. IEEE Internet of Things Journal 2018 ;Volum 6.(4) s. 6151-6164 UiO
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47. |
Rauniyar, Ashish; Engelstad, Paal E.; Moen, Hans Jonas Fossum. A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. IEEE Vehicular Technology Conference (VTC) Proceedings 2018 ;Volum 2018-June. s. 1-7 OSLOMET UiO FFI
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48. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. RF energy harvesting and information transmission based on NOMA for wireless powered IoT relay systems. Sensors 2018 ;Volum 18:3254.(10) s. 1-22 UiO OSLOMET
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49. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. RF Energy Harvesting and Information Transmission based on Power Splitting and NOMA for IoT Relay Systems. I: 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE conference proceedings 2018 ISBN 978-1-5386-7659-2. s. - OSLOMET UiO
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50. |
Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald. RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA. I: 2018 28th International Telecommunication Networks and Applications Conference (ITNAC). IEEE conference proceedings 2018 ISBN 978-1-5386-7177-1. s. 168-174 OSLOMET UiO
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