yusuke1997/dblp-id-title huggingface dataset:
CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings
Concept-based model explanations for electronic health records
Modeling longitudinal dynamics of comorbidities
Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning
BMM-Net: automatic segmentation of edema in optical coherence tomography based on boundary detection and multi-scale network
MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans
Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations
An Improved Bayesian Permutation Entropy Estimator with Wasserstein-Optimized Hierarchical Priors
Variational learning of individual survival distributions
The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
Large-Scale Study of Temporal Shift in Health Insurance Claims
Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
Who Controlled the Evidence? Question Answering for Disclosure Information Extraction
Phenotypical ontology driven framework for multi-task learning
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
Data Augmentation for Electrocardiograms
Conference on Health, Inference, and Learning, UC Berkeley, Berkeley, USA, 25-27 June 2025
TASTE: temporal and static tensor factorization for phenotyping electronic health records
Adaptive Weighted Multi-View Clustering
Deidentification of free-text medical records using pre-trained bidirectional transformers
Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data
MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
Evaluating Model Performance in Medical Datasets Over Time
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder
Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?
Interpretation of Intracardiac Electrograms Through Textual Representations
Extracting medical entities from social media
Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment From the eGFR Equation
Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases
Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit
F β -plot - a visual tool for evaluating imbalanced data classifiers
Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction
Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes
Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography Data
Semantic match: Debugging feature attribution methods in XAI for healthcare
RNA alternative splicing prediction with discrete compositional energy network
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
Learning to predict with supporting evidence: applications to clinical risk prediction
Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression
Denoising Autoencoders for Learning from Noisy Patient-Reported Data
Evaluating Domain Generalization for Survival Analysis in Clinical Studies
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
A Study of Artifacts on Melanoma Classification under Diffusion-Based Perturbations
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
How does my language model understand clinical text?
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Generative ODE modeling with known unknowns
Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence
Neural Fine-Gray: Monotonic neural networks for competing risks
Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning
s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers
Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA
ADCB: An Alzheimer's disease simulator for benchmarking observational estimators of causal effects
Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
Federated Multilingual Models for Medical Transcript Analysis
Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data
ACM CHIL '20: ACM Conference on Health, Inference, and Learning, Toronto, Ontario, Canada, April 2-4, 2020 [delayed]
DDoS: A Graph neural Network Based Drug Synergy Prediction Algorithm
Conference on Health, Inference, and Learning (CHIL) 2022
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU
Hurtful words: quantifying biases in clinical contextual word embeddings
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Brain-Mamba: Encoding Brain Activity via Selective State Space Models
Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
Vision-Language Generative Model for View-Specific Chest X-ray Generation
Towards the Practical Utility of Federated Learning in the Medical Domain
Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data
Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models
A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data
Using SNOMED to automate clinical concept mapping
Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing
An adversarial approach for the robust classification of pneumonia from chest radiographs
Disease state prediction from single-cell data using graph attention networks
Do We Still Need Clinical Language Models?
Distributionally Robust Learning in Survival Analysis
Predictive models for colorectal cancer recurrence using multi-modal healthcare data
An empirical framework for domain generalization in clinical settings
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections
Learning Disease Progression Models That Capture Health Disparities
VisualCheXbert: addressing the discrepancy between radiology report labels and image labels
A comprehensive EHR timeseries pre-training benchmark
B-SegNet: branched-SegMentor network for skin lesion segmentation
A dual ensemble classifier used to recognise contaminated multi-channel EMG and MMG signals in the control of upper limb bioprosthesis
WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening
Learning to safely approve updates to machine learning algorithms
Fair admission risk prediction with proportional multicalibration
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
Controlled molecule generator for optimizing multiple chemical properties
When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series
On Speeding Up the Training of Deep Neural Networks Using the Streaming Approach: The Base-Values Mechanism
Counterfactually Guided Policy Transfer in Clinical Settings
A cross-study Analysis of Wearable Datasets and the Generalizability of Acute Illness Monitoring Models
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information
Multiaccuracy for Subpopulation Calibration Over Distribution Shift in Medical Prediction Models
Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences
FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems
Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication
Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation
Tuning In: Comparative Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
Graph-Text Multi-Modal Pre-training for Medical Representation Learning
Clinical Relevance Score for Guided Trauma Injury Pattern Discovery with Weakly Supervised β-VAE
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
CaliForest: calibrated random forest for health data
Contrastive Learning of Electrodermal Activity Representations for Stress Detection
MetaPhys: few-shot adaptation for non-contact physiological measurement
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram
Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model
Causal considerations can deterimine the utility of machine learning assisted GWAS
Improving the Fairness of Chest X-ray Classifiers
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning
Development of Error Passing Network for Optimizing the Prediction of VO 2 peak in Childhood Acute Leukemia Survivors
FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports
Influenza-like symptom recognition using mobile sensing and graph neural networks
Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
Systematic Evaluation of Self-Supervised Learning Approaches for Wearable-Based Fatigue Recognition
Regulating AI Adaptation: An Analysis of AI Medical Device Updates
DoseMate: A Real-world Evaluation of Machine Learning Classification of Pill Taking Using Wrist-worn Motion Sensors
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
Token Imbalance Adaptation for Radiology Report Generation
Interpretable breast cancer classification using CNNs on mammographic images
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
Contextualization and individualization for just-in-time adaptive interventions to reduce sedentary behavior
Fast learning-based registration of sparse 3D clinical images
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Survival cluster analysis
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records
Global Deep Forecasting with Patient-Specific Pharmacokinetics
Keypoint Mask-based Local Feature Matching and Keypoint Erasing-based Global Feature Representations for Visible-Infrared Person Re-Identification
MIMIC-Extract: a data extraction, preprocessing, and representation pipeline for MIMIC-III
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
Variationally regularized graph-based representation learning for electronic health records
Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals
Semi-Markov Offline Reinforcement Learning for Healthcare
Does Alignment help continual learning?
Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection
Enriching Unsupervised User Embedding via Medical Concepts
Learning Unsupervised Representations for ICU Timeseries
Adverse drug reaction discovery from electronic health records with deep neural networks
Silhouette Distance Loss for Learning Few-Shot Contrastive Representations
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics
T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states
Trustworthy machine learning for health care: scalable data valuation with the shapley value
SPI Models: What Characteristics Are Required for Small Software Development Companies?
Cooperate or Conquer? A Danish Survey of the Customer-Supplier Relationship
Model-Driven Business Operations
Quality Control Techniques for Constructing Attractive Corporate Websites: Usability in Relation to the Popularity Ranking of Websites
Comparison of CMM Level 2 and eXtreme Programming
Understanding Software Component Markets: The Value Creation Perspective
Restricted Random Testing
How to Effectively Promote the Software Process Improvement Activities in a Large-Scale Organization
Software Quality versus Time-to-Market: How to Resolve These Conflicts?
Solid Software: Is It Rocket Science?
Extended Model-Based Testing toward High Code Coverage Rate
Peer Reviews as a Quality Management Technique in Open-Source Software Development Projects
Collaboration between a COTS Integrator and Vendors
Software Quality - ECSQ 2002, 7th International Conference, Helsinki, Finland, June 9-13, 2002, Proceedings
An Evaluation of Inspection Automation Tools
Introduction of the Software Configuration Management Team and Defect Tracking System for Global Distributed Development
Creation of a Guideline for Tailoring Development Processes Using Project Metrics Data
Consideration of EVMS Technique Application to Software Development
Improving Software Quality in Product Families through Systematic Reengineering
GARP - The Evolution of a Software Acquisition Process Model
Classifying COTS Products
I-P-O/Multilateral Design Quality Evaluation Methods: Process Improvements and Effects
Performing Initial Risk Assessments in Software Acquisition Projects
Using Mobile Agents for Security Testing in Web Environments
Software Development Bug Tracking: "Tool Isn't User Friendly" or "User Isn't Process Friendly"
Quality-Adaptive Testing: A Strategy for Testing with Focusing on Where Bugs Have Been Detected
Evaluating the Performance of a Web Site via Queuing Theory
UML Developments: Cost Estimation from Requirements
Mobile Web Services and Software Quality
Breakthrough in Delivering Software Quality: Capability Maturity Model and Six Sigma
The Personal Software Process in Practice: Experience in Two Cases over Five Years
Is Process Improvement Irrelevant to Produce New Era Software?
Cooperation and Competition with Partner Companies: Practices for Quality Control through Competition among Teams
Lessons Learned from Applying the Requirements Engineering Good Practice Guide for Process Improvement
Product Quality in Software Business Connection
Experience Based Process Improvement
Personal Software Process: Classroom Experiences from Finland
Quality Assurance Activities for ASP Based on SLM in Hitachi
An Empirical Study with Metrics for Object-Relational Databases
Proceedings of the Second Workshop on Mathematically Structured Functional Programming, MSFP@ICALP 2008, Reykjavik, Iceland, July 6, 2008
Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts
Towards a Size-Aware Implicit 2-D Cloth Rendering
Holo-Museum: An Interactive Holographic Display System Based on 3D Scanning by a LiDAR for a Solid Art Sculpture
Planetary Rover Localization in Virtual Reality Environment via Orbital and Surface Imagery Learnt Embeddings
A Preliminary Investigation into a Deep Learning Implementation for Hand Tracking on Mobile Devices
A Qualitative Analysis of Interaction Techniques in a Virtual Reality Instruction Environment: Experiences From a Case Study
An Immersive Node-Link Visualization of Artificial Neural Networks for Machine Learning Experts
ClassesInVR: An Immersive VR-Based Classroom
Inverse Kinematics and Temporal Convolutional Networks for Sequential Pose Analysis in VR
Understanding Head-Mounted Display FOV in Maritime Search and Rescue Object Detection
Training Application for Ostomy Patients in Virtual Reality
Managing Localization Delay for Cloud-assisted AR Applications Via LSTM-driven Overload Control
MS2Mesh-XR: Multi-Modal Sketch-to-Mesh Generation in XR Environments
Downsizing: The Effect of Mixed-Reality Person Representations on Stress and Presence in Telecommunication
Extending Socio-Technological Reality for Ethics in Artificial Intelligent Systems
Needs Model for an Autonomous Agent during Long-term Simulations
Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation
Representative Synthetic Crowds for Inclusive Environment Design
HoloMoCap: Real-Time Clinical Motion Capture with HoloLens 2
HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality
Typing on Any Surface: Real-Time Keystroke Detection in Augmented Reality
VR Cybersickness Classification using Machine Learning Models on Open-Access EEG Datasets from the Human Vestibular Network
Using Physiological Data to Evaluate Anxiety Responses During Different Behavioural Avoidance Tests
Stealthy and Practical Multi-modal Attacks on Mixed Reality Tracking
On the Plane: A Roleplaying Game for Simulating Ingroup-Outgroup Biases in Virtual Reality
richYoga: An Interactive Yoga Recognition System Based on Rich Skeletal Joints
Exploring CNN-Based Viewport Prediction for Live Virtual Reality Streaming
Sensorimotor learning in immersive virtual reality: a scoping literature review
Predicting Workload in Virtual Flight Simulations Using EEG Spectral and Connectivity Features
Augmented Reality-based Worker Assistance for People with Cognitive Disabilities
Digital Storytelling in Virtual Reality: Bridging the Virtual and Reality in Cultural Tourism at the Great Bay Area
Towards Efficient Visual Attention Prediction for 360 Degree Videos
Using Eye Tracked Virtual Reality to Classify Understanding of Vocabulary in Recall Tasks
Lane Line Map Estimation for Visual Alignment
Building AR Virtual String Quartet for Live Concert
Learning About Catcalling: an Interactive Virtual Gallery Concept Raising Awareness for Street Harassment
Mill Instructor: Teaching Industrial CNC Procedures Using Virtual Reality
VRmonic: A VR Piano Playing Form Trainer
ArrivieW2: an Android Application for General-Purpose Information Presentation Using Google Map API, Location and Azimuth Sensor
neomento SAD - VR Treatment For Social Anxiety
Problems with Physical Simulation in a Virtual Lego-based Assembly Task using Unity3D Engine
Assessing the Effectiveness of Virtual Reality Gaming to Reduce Anxiety and Increase Cognitive Bandwidth
Combining Leap Motion with Unity for Virtual Glove Puppets
Exploiting the Integration of Wearable Virtual Reality and Bio-Sensors for Persons with Neurodevelopmental Disorders
Predicting 3D Motion from 2D Video for Behavior-Based VR Biometrics
System Architecture for VR Yoga Therapy Platform with 6-DoF Whole-Body Avatar Tracking
Evaluating Engagement of Virtual Reality Games Based on First and Third Person Perspective Using EEG and Subjective Metrics
3D Model Retrieval Using Constructive Solid Geometry in Virtual Reality
Virtual Reality Lifelog Explorer: A Prototype for Immersive Lifelog Analytics
Binarization Using Morphological Decomposition Followed by cGAN
2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), Los Angeles, CA, USA, January 17-19, 2024
Planar Simplification of Indoor Point-Cloud Environments
Intelligent Virtual Platform for Real-time Cybersickness Detection and Adaptation *
Touching the Explanations: Explaining Movie Recommendation Scores in Mobile Augmented Reality
Behavioral Avoidance Test: Comparison between in vivo and virtual reality using questionnaires and psychophysiology
Future Mobility Solutions: A Use Case for Understanding How VR Influences User Perception
Instant Difficulty Adjustment using User Skill Model Based on GPDM in VR Kendama Task
IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022, Virtual Conference, December 12-14, 2022
VitaMaze: A VR Exergame Driven using Feedback from Physiological Sensors
Assessing the Value of 3D Software Experience with Camera Layout in Virtual Reality
Design and Development of Interactive Intelligent Medical Agent
IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021, Taichung, Taiwan, November 15-17, 2021
Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications
CrowdAR Table - An AR Table for Interactive Crowd Simulation
Improved RGB-D Indoor Semantic Segmentation using Cascaded Loss Fusion
Head-Mounted FOV Simulator for User Testing of Maritime Object Detection Tasks
OCTO+: A Suite for Automatic Open-Vocabulary Object Placement in Mixed Reality
Towards Situated Imaging
Civil War Battlefield Experience: Historical Event Simulation using Augmented Reality Technology
Merging Realities: Exploring Mixed Reality as a Research Tool for Human-Robot Interaction in Real-World Settings
Generative AI for Context-Aware 3D Object Creation Using Vision-Language Models in Augmented Reality
FaceAUG: A Cross-Platform Application for Real-Time Face Augmentation in Web Browser
Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality
Algorithm-Aware Neural Network Based Image Compression for High-Speed Imaging
Affective State Classification in Virtual Reality Environments Using Electrocardiogram and Respiration Signals
Using Virtual Reality for scenario-based Responsible Research and Innovation approach for Human Robot Co-production
A Survey on Recent Deep Learning-driven Singing Voice Synthesis Systems
Toward a Generative Pipeline for an AR Tour of Contested Heritage Sites
A Live Storytelling Virtual Reality System with Programmable Cartoon-Style Emotion Embodiment
One-Man Movie: A System to Assist Actor Recording in a Virtual Studio
Immersive Analysis of 3D Multi-cellular In-Vitro and In-Silico Cell Cultures
A Natural Language Programming Application for Lego Mindstorms EV3
Toward inclusivity: Virtual reality museums for the visually impaired
Video Demo: Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video
Training with a world champion: augmented reality applications in sport Design-led research
Improving Accessibility of Elevation Control in an Immersive Virtual Environment
Comparative experiment of attention prompting methods using VR driving simulator
Measuring User Responses to Driving Simulators: A Galvanic Skin Response Based Study
CIS2VR: CNN-based Indoor Scan to VR Environment Authoring Framework
Motorcycle Riding Safety Education with Virtual Reality
Towards a Music Visualization on Robot (MVR) Prototype
Mixed Reality with Hardware Acceleration: implementing the multimodal user interface vision
Machine Learning Concepts for Dual-Arm Robots within Virtual Reality
Plane-Based Local Behaviors for Multi-Agent 3D Simulations with Position-Based Dynamics
Dream Mesh: A Speech-to-3D Model Generative Pipeline in Mixed Reality
Graphic Code: A New Machine Readable Approach