Copertina

LLM-Guided Exemplar Selection for Few-Shot Wearable-Sensor Human Activity Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ronando, Elsen, Inoue, Sozo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition I.2.6; I.5.4
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
di: Zhang, Hao, et al.
Pubblicazione: (2025)

AgenticPruner: MAC-Constrained Neural Network Compression via LLM-Driven Strategy Search
di: Esmat, Shahrzad, et al.
Pubblicazione: (2026)

Automated Multi-Class Crop Pathology Classification via Convolutional Neural Networks: A Deep Learning Approach for Real-Time Precision Agriculture
di: Suri, Sourish, et al.
Pubblicazione: (2025)

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
di: Ronando, Elsen, et al.
Pubblicazione: (2025)

Realistic Handwritten Multi-Digit Writer (MDW) Number Recognition Challenges
di: Wagstaff, Kiri L.
Pubblicazione: (2025)

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
di: Idahl, Maximilian, et al.
Pubblicazione: (2026)

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
di: Rajani, Hayat, et al.
Pubblicazione: (2025)

Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
di: Sutton, Matthew, et al.
Pubblicazione: (2026)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
di: Kajare, Prajwal Vijay, et al.
Pubblicazione: (2026)

NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs
di: Miličević, Davorin, et al.
Pubblicazione: (2025)

CourtMotion: Learning Event-Driven Motion Representations from Skeletal Data for Basketball
di: Sela, Omer, et al.
Pubblicazione: (2025)

Detection and Simulation of Urban Heat Islands Using a Fine-Tuned Geospatial Foundation Model for Microclimate Impact Prediction
di: Fleckenstein, Jannis, et al.
Pubblicazione: (2025)

Detection and Simulation of Urban Heat Islands Using a Fine-Tuned Geospatial Foundation Model
di: Kreismann, David
Pubblicazione: (2025)

FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Moving Infrared Small Target Detection
di: Huang, Yian, et al.
Pubblicazione: (2026)

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
di: Wang, Yin, et al.
Pubblicazione: (2025)

Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
di: Li, Zhuowei, et al.
Pubblicazione: (2025)

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology
di: Maruf, Md., et al.
Pubblicazione: (2025)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
di: Semenov, Andrei, et al.
Pubblicazione: (2024)

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance
di: Sarawgi, Utkarsh Oggy, et al.
Pubblicazione: (2023)

Human Activity Recognition in an Open World
di: Prijatelj, Derek S., et al.
Pubblicazione: (2022)

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning
di: Ji, Binbin, et al.
Pubblicazione: (2025)

Learning Displacement-Aware WiFi Representations for Weakly Supervised Relative Localization
di: Wei, Tzu-Ti, et al.
Pubblicazione: (2026)

DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
di: Zhan, Jiawei, et al.
Pubblicazione: (2025)

Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning
di: Barnett, Alina Jade, et al.
Pubblicazione: (2022)

A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
di: Ortiz, Mateo, et al.
Pubblicazione: (2025)

Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
di: He, Shihuan, et al.
Pubblicazione: (2025)

SpectralCA: Bi-Directional Cross-Attention for Next-Generation UAV Hyperspectral Vision
di: Brovko, D. V.
Pubblicazione: (2025)

Multimodal Ensemble with Conditional Feature Fusion for Dysgraphia Diagnosis in Children from Handwriting Samples
di: Kunhoth, Jayakanth, et al.
Pubblicazione: (2024)

How Can One Choose the Best CAM-Based Explainability Method for a CNN Model?
di: Costa, Daniel da Silva, et al.
Pubblicazione: (2026)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
di: Maity, Subhajit, et al.
Pubblicazione: (2025)

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
di: Xie, Weiyi, et al.
Pubblicazione: (2024)

Motion-Guided Semantic Alignment with Negative Prompts for Zero-Shot Video Action Recognition
di: Wang, Yiming, et al.
Pubblicazione: (2026)

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
di: Li, Changyu, et al.
Pubblicazione: (2026)

A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
di: Borah, Parashjyoti, et al.
Pubblicazione: (2026)

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings
di: Perera, Amal S., et al.
Pubblicazione: (2025)

Non-Adaptive Adversarial Face Generation
di: Kim, Sunpill, et al.
Pubblicazione: (2025)

Automated Pollen Recognition in Optical and Holographic Microscopy Images
di: Warshaneyan, Swarn Singh, et al.
Pubblicazione: (2025)

TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
di: Rehamnia, Walid, et al.
Pubblicazione: (2025)

AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging
di: Warshaneyan, Swarn S., et al.
Pubblicazione: (2025)

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
di: Lis, Krzysztof, et al.
Pubblicazione: (2022)