Export 8343 results:
Filters: Filter is   [Clear All Filters]
2022
J. Rocher-Gonzalez, E. G. Gran, S. Reinemo, T. Skeie, J. Escudero-Sahuquillo, P. J. García, and F. J. Quiles. Adaptive Routing in InfiniBand Hardware In The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing. IEEE, 2022.PDF icon adaptive_routing_in_infiniband_hardware.pdf (1.17 MB)
A. Sharif, and D. Marijan. Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies In 29th Asia-Pacific Software Engineering Conference (APSEC)., 2022.
J. M. Evang. Africa and the Internet. Oslo: CRNA blog, 2022.
F. I. Michelinakis, J. S. Pujol-Roig, S. Malacarne, M. Xie, T. Dreibholz, S. Majumdar, W. Y. Poe, G. Patounas, C. Guerrero, A. M. Elmokashfi et al. "AI Anomaly Detection for Cloudified Mobile Core Architectures." Transactions on Network and Service Management (2022).PDF icon tnsm2022.pdf (9.43 MB)
C. Midoglu. AI-Based Video Production for Soccer In FOKUS Media Web Symposium., 2022.
S. Ali. AI-enabled Digital Twins for Cyber-Physical Systems In EDT Community: Engineering Digital Twins – Seminar Series., 2022.
J. A. Alslie, A. B. Ovesen, T. S. Nordmo, H. D. Johansen, P. Halvorsen, M. Riegler, and D. Johansen. "Áika: A Distributed Edge System for AI Inference." Big Data and Cognitive Computing 6, no. 2 (2022): 68.
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde, and E. A. Ataman. Analyzing postprandial metabolomics data using multiway models: A simulation study In Norwegian Bioinformatics Days, Sundvolden, Norway., 2022.
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde, and E. A. Ataman. Analyzing postprandial metabolomics data using multiway models: A simulation study In NuGOweek 2022 in Spain., 2022.
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde, and E. A. Ataman. Analyzing postprandial metabolomics data using multiway models: A simulation study In Nordic Metabolomics 2022, Copenhagen, Denmark., 2022.
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, D. Horner, M. A. Rasmussen, A. K. Smilde, and E. A. Ataman. "Analyzing postprandial metabolomics data using multiway models: A simulation study." bioRxiv (2022).
M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen, and E. A. Ataman. An AO-ADMM approach to constrained PARAFAC2 In Nordic AI Meet., 2022.
M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen, and E. A. Ataman. "An AO-ADMM approach to constraining PARAFAC2 on all modes." SIAM Journal on Mathematics of Data Science 4 (2022): 1191-1222.
E. Piersanti, M. E. Rognes, and V. Vinje. "Are brain displacements and pressures within the parenchyma induced by surface pressure differences? A computational modelling study." TBA (2022).
L. Han. Are Elevator Software Robust against Uncertainties? Results and Experiences from an Industrial Case Study In Singapore., 2022.
L. Han, T. Yue, S. Ali, A. Arrieta, and M. Arratibel. Are Elevator Software Robust Against Uncertainties? Results and Experiences from an Industrial Case Study In The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM, 2022.
K. H. Jæger, A. G. Edwards, W. R. Giles, and A. Tveito. "Arrhythmogenic influence of mutations in a myocyte‑based computational model of the pulmonary vein sleeve." Nature Scientific Reports 12 (2022): 7040.
W. Tavanapong, J. Oh, M. Riegler, M. I. Khaleel, B. Mitta, and P. C. De Groen. "Artificial Intelligence for Colonoscopy: Past, Present, and Future." IEEE Journal of Biomedical and Health Informatics 26, no. 8 (2022): 3950-3965.
J. L. Isaksen, M. Baumert, A. N. L. Hermans, M. Maleckar, and D. Linz. "Artificial intelligence for the detection, prediction, and management of atrial fibrillation." Herzschrittmachertherapie+ Elektrophysiologie 33, no. 1 (2022): 34-41.
A. Storås, I. Strümke, M. Riegler, J. Grauslund, H. L. Hammer, A. Yazidi, P. Halvorsen, K. G. Gundersen, T. P. Utheim, and C. J. Jackson. "Artificial intelligence in dry eye disease." The Ocular Surface 23 (2022): 74-86.PDF icon dry_eye_ai_manuscript_nolinenumbers14november.pdf (989.75 KB)
D. H. M. Nguyen, D. M. Nguyen, M. T. N. Truong, T. Nguyen, K. T. Tran, N. A. Triet, P. T. Bao, and B. T. Nguyen. "ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks." Information Sciences (2022).
D. Binkley, and L. Moonen. Assessing the Impact of Execution Environment on Observation-Based Slicing In IEEE Working Conference on Source Code Analysis and Manipulation. IEEE, 2022.PDF icon binkley_moonen_assessing_2022.pdf (212.12 KB)
D. Binkley, and L. Moonen. Assessing the Impact of Execution Environment on Observation-Based Slicing. arXiv, 2022.PDF icon binkley2022_assessing_arxiv.pdf (237.97 KB)
A. T. Ødegaard. Assumptions, Efficiency and Trust in Non-Interactive Zero-Knowledge Proofs In The University of Bergen. Vol. PhD., 2022.
S. Ali. Assuring the Quality of Quantum Programs with Automated Testing In University of Lisbon, Portugal., 2022.