#benchmarking
6 resultsCarl-Hauser -- Open Source Image Matching Algorithms Benchmarking Framework
Vincent Falconieri
The paper presents an open‑source framework for benchmarking image‑matching algorithms, providing evaluation tools and publicly available datasets of phishing and onion‑site screen…
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale +2
The paper introduces four benchmark prediction tasks derived from the MIMIC-III intensive care database—mortality risk, length of stay, physiologic decline detection, and phenotype…
Benchmarking Surrogate-Assisted Genetic Recommender Systems
Thomas Gabor, Philipp Altmann
The paper introduces a recommender system that uses a surrogate model within an interactive genetic algorithm to suggest items, updating the model based on user feedback and showin…
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
Tianshu Hao, Yunyou Huang, Xu Wen +8
The paper introduces Edge AIBench, an end-to-end benchmark suite for edge AI that models data distribution and workload collaboration across client devices, edge nodes, and cloud s…
An Evaluation of Action Recognition Models on EPIC-Kitchens
Will Price, Dima Damen
The paper benchmarks several modern action recognition models (TSN, TRN, TSM) on the egocentric EPIC-Kitchens dataset and releases pretrained versions, analyzing performance on cha…
Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions
Anna Stelzer
The paper benchmarks 23 statistical and machine learning models for credit default prediction across four datasets, evaluating various sampling strategies to address class imbalanc…