Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. arXiv preprint arXiv:2409.01329, arXiv, September 2024. [PUMA: ep FOS: Machine sciences (cs.LG), Security Learning (cs.CV), and Vision Computer (cs.CR), Cryptography information Pattern area_bigdata area_responsibleai Recognition]
If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: sciences, FOS: Computers sciences (cs.CY), Computation topic_language Society and Computer Language (cs.CL), information] URL
RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures. 2023 26th Euromicro Conference on Digital System Design (DSD), 585--592, IEEE, Sep 8, 2023. [PUMA: FIS_scads Shape learning Machine computing, topic_federatedlearn Runtime, vision, algorithms, architecture, Embedded Computer Scalability,] URL
Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, (35):93–101, IEEE, September 2023. [PUMA: Study Learning Computer Data Self-Supervised Unlabelled Vision. Comparative] URL
ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures. In Francesca Palumbo, Georgios Keramidas, Nikolaos Voros, and Pedro C. Diniz (Eds.), Applied Reconfigurable Computing. Architectures, Tools, and Applications - 19th International Symposium, ARC 2023, Proceedings, 97--112, Springer Science and Business Media B.V., Germany, 2023. [PUMA: FIS_scads topic_federatedlearn OpenVX FPGA, Computer Vision, HLS, Framework,] URL
Modeling Proficiency with Implicit User Representations. arXiv, 2021. [PUMA: sciences Computation and Computer sciences, Language (cs.CL), information FOS:] URL
Classification of hyperspectral endocrine tissue images using support vector machines. Int. J. Med. Robot., (16)5:1--10, Wiley, October 2020. [PUMA: intraoperative thyroidectomy imaged guided computer neck; surgery; and imaging; assisted head]
Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology. BMC Med. Inform. Decis. Mak., (20)1:28, February 2020. [PUMA: decision-making; workflow; Haematology; Support Mathematical therapy Clinical Data Routine treatment management; simulation; modelling; system optimization; Individual Computer planning; Model-based]
Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (physics.data-an), Analysis, Probability Data sciences, Numerical Statistics FOS: Machine Physical sciences Analysis (cs.LG), Learning (math.NA), Mathematics, and Computer information] URL