:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sukmana, Septian Enggar, Bae, Sang Won, Shibata, Tomohiro
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.03651
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SePA: A Search-enhanced Predictive Agent for Personalized Health Coaching
by: Ozolcer, Melik, et al.
Published: (2025)

Wearable Sensor-Based IoT XAI Framework for Predicting Freezing of Gait in Parkinsons Disease
by: Paneru, Biplov
Published: (2025)

GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation
by: Saxena, Krati, et al.
Published: (2026)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
by: Soumma, Shovito Barua, et al.
Published: (2024)

Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease
by: Soumma, Shovito Barua, et al.
Published: (2024)

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease
by: Cohen, Seffi, et al.
Published: (2024)

Evidence for Phenotype-Driven Disparities in Freezing of Gait Detection and Approaches to Bias Mitigation
by: Odonga, Timothy, et al.
Published: (2025)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
by: Soumma, Shovito Barua, et al.
Published: (2024)

Agentic DDQN-Based Scheduling for Licensed and Unlicensed Band Allocation in Sidelink Networks
by: Chou, Po-Heng, et al.
Published: (2025)

FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
by: Chi, Chuntian, et al.
Published: (2025)

Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents
by: Islam, Rahul, et al.
Published: (2024)

Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
by: Yan, Zijiang, et al.
Published: (2024)

Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction
by: Shen, Wei, et al.
Published: (2025)

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
by: Sigcha, Luis, et al.
Published: (2024)

Gait2Hip-60: A Unified Deep Learning Benchmark for Predicting Hip Muscle Forces and Joint Moments from Multi-Cadence Gait Kinematics
by: Zhang, Jiaqi, et al.
Published: (2026)

PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation
by: Kaur, Kirandeep, et al.
Published: (2026)

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
by: Nathani, Deepak, et al.
Published: (2026)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
by: Gerstgrasser, Matthias, et al.
Published: (2023)

Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)

Statistical Test for Feature Selection Pipelines by Selective Inference
by: Shiraishi, Tomohiro, et al.
Published: (2024)

Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks
by: Chou, Po-Heng, et al.
Published: (2026)

Classification and Prediction of Heart Diseases using Machine Learning Algorithms
by: Osei-Nkwantabisa, Akua Sekyiwaa, et al.
Published: (2024)

Dynamic Reinforcement Learning for Actors
by: Shibata, Katsunari
Published: (2025)

si4onnx: A Python package for Selective Inference in Deep Learning Models
by: Katsuoka, Teruyuki, et al.
Published: (2025)

Class Incremental Learning for Algorithm Selection
by: Nemeth, Mate Botond, et al.
Published: (2025)

Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards
by: Yu, Kihyun, et al.
Published: (2026)

FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
by: Huang, Kai, et al.
Published: (2024)

Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
by: Yuan, Bo, et al.
Published: (2026)

AgentFold: Long-Horizon Web Agents with Proactive Context Management
by: Ye, Rui, et al.
Published: (2025)

ProAgent: Building Proactive Cooperative Agents with Large Language Models
by: Zhang, Ceyao, et al.
Published: (2023)

Proactive Dialogue Model with Intent Prediction
by: Luo, Yang
Published: (2026)

Accelerating Large-Scale Cheminformatics Using a Byte-Offset Indexing Architecture for Terabyte-Scale Data Integration
by: Malikussaid, et al.
Published: (2026)

StagePilot: A Deep Reinforcement Learning Agent for Stage-Controlled Cybergrooming Simulation
by: An, Heajun, et al.
Published: (2026)

Value Prediction for Spatiotemporal Gait Data Using Deep Learning
by: Cavanagh, Ryan, et al.
Published: (2024)

Prediction Loss Guided Decision-Focused Learning
by: Jeon, Haeun, et al.
Published: (2025)

Meta-Continual Mobility Forecasting for Proactive Handover Prediction
by: Mandapati, Sasi Vardhan Reddy
Published: (2025)

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking
by: Hossain, Md. Kamrul, et al.
Published: (2026)

Statistical Testing Framework for Clustering Pipelines by Selective Inference
by: Miyata, Yugo, et al.
Published: (2026)

EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
by: Xue, Zhiming, et al.
Published: (2026)

Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification
by: Jaiswal, Abhishek, et al.
Published: (2024)