most citedA Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Multi-objective Hyperparameter Optimization in the Age of Deep Learning

Soham Basu, Frank Hutter, Danny Stoll

While Deep Learning (DL) experts often have prior knowledge about which hyperparameter settings yield strong performance, only few Hyperparameter Optimization (HPO) algorithms can…

cs.LG2025

carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks

Carolin Benjamins, Helena Graf, Sarah Segel +14

Hyperparameter Optimization (HPO) is crucial to develop well-performing machine learning models. In order to ease prototyping and benchmarking of HPO methods, we propose carps, a b…

cs.CV2024★ 3 cited

A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body

Soumalya Bose, Soham Basu, Indranil Bera +6

This paper addresses the medical imaging problem of joint detection in the upper limbs, viz. elbow, shoulder, wrist and finger joints. Localization of joints from X-Ray and Compute…