Copertina

From Muscle to Text with MyoText: sEMG to Text via Finger Classification and Transformer-Based Decoding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chowdhury, Meghna Roy, Sen, Shreyas, Ding, Yi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Migrating Birds Optimization-Based Feature Selection for Text Classification
di: Kaya, Cem, et al.
Pubblicazione: (2024)

Segmenting Watermarked Texts From Language Models
di: Li, Xingchi, et al.
Pubblicazione: (2024)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
di: Wang, Kexin, et al.
Pubblicazione: (2024)

Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting
di: Sen, Anuvab, et al.
Pubblicazione: (2023)

Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
di: Saxena, Aditya, et al.
Pubblicazione: (2024)

HEATACO: Heatmap-Guided Ant Colony Decoding for Large-Scale Travelling Salesman Problems
di: Lin, Bo-Cheng, et al.
Pubblicazione: (2026)

MolLIBRA: Genetic Molecular Optimization with Multi-Fingerprint Surrogates and Text-Molecule Aligned Critic
di: Okada, Masahi, et al.
Pubblicazione: (2026)

Investigating Recurrent Transformers with Dynamic Halt
di: Chowdhury, Jishnu Ray, et al.
Pubblicazione: (2024)

Real-time Noise Detection and Classification in Single-Channel EEG: A Lightweight Machine Learning Approach for EMG, White Noise, and EOG Artifacts
di: Enshaei, Hossein, et al.
Pubblicazione: (2025)

Switch-Based Multi-Part Neural Network
di: Majumder, Surajit, et al.
Pubblicazione: (2025)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
di: Murad, Taslim, et al.
Pubblicazione: (2024)

Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design
di: Galeta, Ondrej, et al.
Pubblicazione: (2026)

DALex: Lexicase-like Selection via Diverse Aggregation
di: Ni, Andrew, et al.
Pubblicazione: (2024)

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
di: Liang, Haoyu, et al.
Pubblicazione: (2025)

Spiking Convolutional Neural Networks for Text Classification
di: Lv, Changze, et al.
Pubblicazione: (2024)

EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
di: Yang, Xuanhao, et al.
Pubblicazione: (2026)

Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving
di: Ghoreishee, Aref, et al.
Pubblicazione: (2026)

Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation (ACAM-J) using 7T fMRI
di: Kumar, Puneet, et al.
Pubblicazione: (2026)

Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification
di: Pei, Wenbin, et al.
Pubblicazione: (2026)

GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
di: Zhang, Huizhe, et al.
Pubblicazione: (2025)

FAGH: Accelerating Federated Learning with Approximated Global Hessian
di: Sen, Mrinmay, et al.
Pubblicazione: (2024)

Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
di: Li, Yicen, et al.
Pubblicazione: (2025)

MLPs Learn In-Context on Regression and Classification Tasks
di: Tong, William L., et al.
Pubblicazione: (2024)

Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
di: Baracat, Farah, et al.
Pubblicazione: (2025)

Spiking Point Transformer for Point Cloud Classification
di: Wu, Peixi, et al.
Pubblicazione: (2025)

Classy Ensemble: A Novel Ensemble Algorithm for Classification
di: Sipper, Moshe
Pubblicazione: (2023)

Multi Part Deployment of Neural Network
di: Ranjan, Paritosh, et al.
Pubblicazione: (2025)

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2023)

Airborne Neural Network
di: Ranjan, Paritosh, et al.
Pubblicazione: (2025)

Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
di: Horuz, Coşku Can, et al.
Pubblicazione: (2026)

Looped Transformers are Better at Learning Learning Algorithms
di: Yang, Liu, et al.
Pubblicazione: (2023)

Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS
di: Patel, Ria, et al.
Pubblicazione: (2024)

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification
di: Toutouh, Jamal
Pubblicazione: (2026)

Collapse-Free Prototype Readout Layer for Transformer Encoders
di: Cirrincione, Giansalvo, et al.
Pubblicazione: (2026)

INCRT: An Incremental Transformer That Determines Its Own Architecture
di: Cirrincione, Giansalvo
Pubblicazione: (2026)

Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
di: Lorenc, Matyáš, et al.
Pubblicazione: (2025)

Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
di: Long, Fu Xing, et al.
Pubblicazione: (2024)

STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
di: Hens, Freek, et al.
Pubblicazione: (2024)

Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment
di: Arauzo-Azofra, Antonio, et al.
Pubblicazione: (2025)

Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
di: Lorenc, Matyáš, et al.
Pubblicazione: (2025)