A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Amina Adadi
This survey systematically categorizes data-efficient ML methods into four strategies: non-supervised learning, data augmentation, transfer learning, and algorithm modification.
Kate Hone, Robert Graham
This paper reports the first stage in developing a valid, reliable questionnaire (SASSI) for subjectively evaluating speech recognition system interfaces.
R. Doriguzzi-Corin, S. Millar, S. Scott-Hayward, et al.
Lucid is a lightweight CNN-based DDoS detection system that matches state-of-the-art accuracy with a 40x reduction in processing time, suitable for resource-constrained environments.
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, et al.
NYUTron, a large language model trained on unstructured clinical notes, serves as an all-purpose predictive engine for diverse clinical tasks, outperforming traditional models by 5-15% AUC.
Joseph Gardiner, Shishir Nagaraja
This paper systematizes command and control (C&C) detection techniques and analyzes their resilience to evasion attacks on machine learning components.
Antonio Emanuele Ciná, Kathrin Grosse, Ambra Demontis, et al.
A comprehensive survey systematizing 15 years of poisoning attacks and defenses in machine learning, with a focus on computer vision.
John J. Dudley, Per Ola Kristensson
This review characterizes Interactive Machine Learning from an interactive systems perspective, proposing a structural and behavioral model and identifying solution principles for effective user interface design.
Sardar Usman, Rashid Mehmood, Iyad Katib, et al.
This paper reviews data locality in HPC, big data, and converged systems, then proposes a future system architecture for such converged environments.
Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
Generative models accelerate high-dimensional system simulations by learning effective dynamics on a lower-dimensional manifold and using diffusion models for reconstruction.
Tuan-Minh Pham, Thi-Thuy-Lien Nguyen
Proposes optimization models and approximation algorithms for joint gateway placement, service placement, and routing in NFV-enabled IoT edge cloud systems.
Tri Nguyen, Risto Katila, Tuan Nguyen Gia
This paper studies the feasibility of an Internet-of-Drones system using blockchain and AI at the edge to improve search and rescue quality of service.
Soren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen
A survey classifying Time Series Management Systems by architecture, storage, querying, stream processing, and approximate query processing, with a vision for next-generation systems.