Category
1,703 papers
Code, per-run results, tables and figures for the manuscript "Communication-efficient split federated learning for patient-independent ECG classification". The ECG databases are not included.
A median filter removes impulsive noise by sorting a few neighbouring samples and picking the middle one. Filters of this family (rank-order or order-statistic filters) need no multiplications, cannot be thrown off by a few wild samples, and their output never moves more than their input does. They were popular in the...
Résumé (FR) Ce document, produit avec l'assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) entrant dans l'état de la technique selon les législations applicables (EPC Art. 54(2); French IPC Art. L 611-11; cf. 35 U.S.C. §102(a)). Face...
A Systematic Review Protocol “Beyond Diagnostic Accuracy: Calibration and Predictive Uncertainty of Artificial Intelligence Models for Oral and Dental Disease Diagnosis” Title of the ReviewBeyond Diagnostic Accuracy: Calibration and Predictive Uncertainty of Artificial Intelligence Models for Oral and Dental Disease Di...
Reach audiences
Advertise in front of researchers, engineers, and readers.
A median filter removes impulsive noise by sorting a few neighbouring samples and picking the middle one. Filters of this family (rank-order or order-statistic filters) need no multiplications, cannot be thrown off by a few wild samples, and their output never moves more than their input does. They were popular in the...
Code, per-run results, tables and figures for the manuscript "Communication-efficient split federated learning for patient-independent ECG classification". The ECG databases are not included.
A median filter removes impulsive noise by sorting a few neighbouring samples and picking the middle one. Filters of this family (rank-order or order-statistic filters) need no multiplications, cannot be thrown off by a few wild samples, and their output never moves more than their input does. They were popular in the...
Re-created code for the PLoS One article e0322749 (2025): nuclei segmentation (SegNet) and classification (DenseNet121) on PanNuke with Hyperband tuning, TensorFlow Lite quantization and federated learning. Includes the result tables underlying the reproduced results.
A median filter removes impulsive noise by sorting a few neighbouring samples and picking the middle one. Filters of this family (rank-order or order-statistic filters) need no multiplications, cannot be thrown off by a few wild samples, and their output never moves more than their input does. They were popular in the...
The proliferation of multi-cloud architectures has intensified challenges in phishing detection, as security intelligence becomes fragmented across heterogeneous cloud infrastructures governed by stringent privacy regulations and data sovereignty constraints. Conventional centralized threat detection paradigms necessit...
Re-created code for the PLoS One article e0322749 (2025): nuclei segmentation (SegNet) and classification (DenseNet121) on PanNuke with Hyperband tuning, TensorFlow Lite quantization and federated learning. Includes the result tables underlying the reproduced results.
Résumé (FR) Ce document, produit avec l'assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) entrant dans l'état de la technique selon les législations applicables (EPC Art. 54(2); French IPC Art. L 611-11; cf. 35 U.S.C. §102(a)). Face...
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Mobile Systems
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
