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  1. 2020
  2. Sun, Z & Nakhai, M 2020, Edge Intelligence: Distributed Task Offloading and Service Management under Uncertainty. in 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings., 9149327, IEEE International Conference on Communications, vol. 2020-June, Institute of Electrical and Electronics Engineers ( IEEE ). https://doi.org/10.1109/ICC40277.2020.9149327
  3. Di Matteo, T 2020, A new multilayer network construction via Tensor learning. in VV Krzhizhanovskaya, G Závodszky, MH Lees, PMA Sloot, PMA Sloot, PMA Sloot, JJ Dongarra, S Brissos & J Teixeira (eds), Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12142 LNCS, Springer, pp. 148-154. https://doi.org/10.1007/978-3-030-50433-5_12
  4. Solis Lemus, JA, Sanchez Sanchez, BJ, Marcotti, S, Burki, ZM, Stramer, BM & Reyes-Aldasoro, CC 2020, Comparison of Interactions Between Control and Mutant Macrophages. in Y Zheng, BM Williams & K Chen (eds), Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings: ommunications in Computer and Information Science. vol. 1065, Communications in Computer and Information Science, vol. 1065 CCIS, Springer, Cham, pp. 470-477. https://doi.org/10.1007/978-3-030-39343-4_40
  5. 2019
  6. Even Mendoza, K, Hyyvarinen, A, Chockler, H & Sharygina, N 2019, Lattice-based SMT for Program Verification. in MEMOCODE 2019 - 17th ACM-IEEE International Conference on Formal Methods and Models for System Design: 17th ACM-IEEE International Conference on Formal Methods and Models for System Design., A16, ACM. https://doi.org/10.1145/3359986.3361214
  7. Serafino, P, Ventre, C, Tran-thanh, L, Zhang, J, An, B & Jennings, N 2019, Social Cost Guarantees in Smart Route Guidance. in AC Nayak & A Sharma (eds), Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings., Chapter 37, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11671 LNAI, pp. 482-495. https://doi.org/10.1007/978-3-030-29911-8_37
  8. Alzamel, M, Crochemore, M, Iliopoulos, CS, Kociumaka, T, Radoszewski, J, Rytter, W, Straszynski, J, Walen, T & Zuba, W 2019, Quasi-Linear-Time Algorithm for Longest Common Circular Factor. in N Pisanti & SP Pissis (eds), 30th Annual Symposium on Combinatorial Pattern Matching, CPM 2019. vol. 128, LIPIcs, pp. 25:1–25:14. https://doi.org/10.4230/LIPIcs.CPM.2019.25
  9. Booth, TC 2019, An Update on Machine Learning in Neuro-Oncology Diagnostics. in A Crimi, T van Walsum, H Kuijf, M Reyes, S Bakas & F Keyvan (eds), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. vol. 11383, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11383 LNCS, Springer, Cham, pp. 37-44. https://doi.org/10.1007/978-3-030-11723-8_4
  10. Celiktutan, O & Demiris, Y 2019, Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments. in L Leal-Taixé & S Roth (eds), Computer Vision – ECCV 2018 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11134 LNCS, pp. 193-209. https://doi.org/10.1007/978-3-030-11024-6_13
  11. Dal Toso, L, Pfaehler, E, Boellaard, R, Schnabel, JA & Marsden, PK 2019, Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors. in F Knoll, A Maier, D Rueckert & JC Ye (eds), Machine Learning for Medical Image Reconstruction - 2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings. vol. 11905, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11905 LNCS, Springer, Cham, Switzerland, pp. 181-192. https://doi.org/10.1007/978-3-030-33843-5_17
  12. Mountaser, G, Mahlouji, M & Mahmoodi, T 2019, Latency Bounds of Packet-Based Fronthaul for Cloud-RAN with Functionality Split. in 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. vol. 2019-May, 8761906. https://doi.org/10.1109/ICC.2019.8761906
  13. Guo, Z, Ahsan, SN, Karadima, O, Sotiriou, J & Kosmas, P 2019, Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging. in 13th European Conference on Antennas and Propagation, EuCAP 2019., 8739478.
  14. Pendlebury, F, Pierazzi, F, Jordaney, R, Kinder, J & Cavallaro, L 2019, TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. in Proceedings of the 28th USENIX Security Symposium. pp. 729-746.
  15. 2018
  16. Jiang, N, Deng, Y, Nallanathan, A, Kang, X & Quek, TQS 2018, Collision Analysis of mIot Network with Power Ramping Scheme. in 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. vol. 2018-May, 8422867, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Communications, ICC 2018, Kansas City, United States, 20/05/2018. https://doi.org/10.1109/ICC.2018.8422867
  17. Abdullateef, S, Harana, JM, Alastruey, J & Khir, AW 2018, A Study on the Characteristics Influencing the Pressure at the Root of a Distributed One-Dimensional Model of Arterial Blood Flow. in Computing in Cardiology, CinC 2018, Maastricht, The Netherlands, September 23-26, 2018.
  18. 2017
  19. Harput, S, Christensen-Jeffries, K, Brown, J, Eckersley, RJ, Dunsby, C & Tang, MX 2017, Ultrasound super-resolution with microbubble contrast agents. in IEEE SENSORS 2017 - Conference Proceedings. vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., 16th IEEE SENSORS Conference, ICSENS 2017, Glasgow, United Kingdom, 30/10/2017. https://doi.org/10.1109/ICSENS.2017.8234244
  20. 2016
  21. Cooper, C, Radzik, T & Rivera Aburto, N 2016, The coalescing-branching random walk on expanders and the dual epidemic process. in Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing. vol. 25-29-July-2016, ACM New York, NY, USA, pp. 461-467, 35th ACM Symposium on Principles of Distributed Computing, PODC 2016, Chicago, United States, 25/07/2016. https://doi.org/10.1145/2933057.2933119
  22. 2014

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