most citedBenchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Intact-to-Amputee Transfer in Surface-EMG Gesture Decoding: Training Source and Calibration Budget

Jethro Odeyemi, W. J. Zhang

A recogniser trained on one person rarely transfers to the next, and useful performance usually demands a fresh round of labelled calibration from the end user. A systematic review…

cs.LG2026

Personalising a Cross-User Surface Electromyography Encoder Under a Small Calibration Budget

Jethro Odeyemi, W. J. Zhang

A myoelectric interface needs calibration from the user before it will function. Earlier work has treated calibration as a quantity, but has not asked the question of what a device…

cs.LG2026

Recognition and Label-Free Adaptation Across Recording Sessions in Surface-EMG Gesture Decoding

Jethro Odeyemi, W. J. Zhang

Recognition accuracy obtained during a recording session does not persist when a user puts on the electrodes again after the electrodes had previously been removed. The electrodes…

cs.LG2026

A Montage-Agnostic Encoder for Calibration-Light Cross-User Gesture Recognition from Surface Electromyography

Jethro Odeyemi, W. J. Zhang

Pattern-recognition control promises a myoelectric prosthesis that responds to many intended gestures rather than one or two, but the promise has stayed in the laboratory. A recogn…

cs.NE2025★ 1 cited

Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes

Jethro Odeyemi, Wenjun Zhang

In this paper, we evaluate the performance of four randomized optimization algorithms: Randomized Hill Climbing (RHC), Simulated Annealing (SA), Genetic Algorithms (GA), and MIMIC…