yusuke1997/dblp-id-title huggingface dataset:
Distributed Network Resource Sharing AP in Inter-WLAN Environments
Poster: InstaPose: Dynamic Photography Feedback via Adaptive Pose Recommendation System
Tracking human queues using single-point signal monitoring
Proceeding of the tenth ACM international workshop on Vehicular inter-networking, systems, and applications, VANET 2013, Taipei, Taiwan, June 25, 2013
RISENSE: Long-Range In-Band Wireless Control of Passive Reconfigurable Intelligent Surfaces
Poster: a construction of a long distance communication sensor network node using Arduino and Mad-SS shield
Power management using game state detection on android smartphones
Poster: towards mobile GPU-accelerated context processing for continuous sensing applications on smartphones
A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract
RoSCAR: robot stock car autonomous racing
Model-based Real-time Testing of Drone Autopilots
Demo: Exploiting Indices for Man-in-the-Middle Attacks on Collaborative Unpooling Autoencoders
Boosting DNN Cold Inference on Edge Devices
Drones, Smartphones and Sensors to Face Natural Disasters
InFrame++: Achieve Simultaneous Screen-Human Viewing and Hidden Screen-Camera Communication
TyrLoc: a low-cost multi-technology MIMO localization system with a single RF chain
Towards Robust Lidar-based 3D Detection and Tracking of UAVs
Embedded NFC protection and forensics for mobile phones with EnGarde
Authenticating and tracing biological anonym of VANET based on KMC decentralization and two-factor
Improving TCP performance over wireless networks with collaborative multi-homed mobile hosts
Towards Latency-First Wireless Embedded Networks
m 3 Track: mmwave-based multi-user 3D posture tracking
Discovering emergency call pitfalls for cellular networks with formal methods
The 10th International Conference on Mobile Systems, Applications, and Services, MobiSys'12, Ambleside, United Kingdom - June 25 - 29, 2012
Deduplicating future data transfer using data exchanged in the past to decrease mobile bandwidth usage
Digital biomarkers from sweat analysis for therapeutic drug monitoring in soft tissue infections
Your tapstroke tells who you are: authenticating smartphone users with tapstroke-driven vibrations
MAR: A Commuter Router Infrastructure for the Mobile Internet
Voice enabling mobile applications with UIVoice
Poster: Demultiplexing Activities of Daily Living and Reducing Overhead of Storage in IoT enabled Smarthomes
Talking Phones: a cultural reading of mobile technologies
Odessa: enabling interactive perception applications on mobile devices
Enhancing TV White-Spaces Database with Unmanned Aerial Scanning Vehicles (UASVs)
Video: Open data kit tables
Challenges and Opportunities in Wearable Systems
RegTrack: a differential relative gps tracking solution
K-anonymity applied to the energy grid of things distributed energy resource management system
Demo: Mobilyzer: Mobile Network Measurement Made Easy
TinyPuff: Automated design of Tiny Smoking Puff Classifiers for Body Worn Devices
Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services
SCOPE: an open and softwarized prototyping platform for NextG systems
Proceedings of the 2017 Workshop on MobiSys 2017 Ph.D. Forum, Niagara Falls, NY, USA, June 23, 2017
Informed mobile prefetching
Simplifying Cooperation with End Users
AccuLoc: practical localization of performance measurements in 3G networks
Simplifying cyber foraging for mobile devices
High-resolution large-scale air pollution monitoring: approaches and challenges
Vulcan: a state-aware fuzzing tool for wear OS ecosystem
Efficient channel-aware rate adaptation in dynamic environments
Enabling software-defined PHY for backscatter networks
Medical Concept Extraction using Smartphone and Natural Language Processing Techniques
Poster: Secure NFV Infrastructure based on Software Fault Isolation Considering Multi-Tenant Environment
SCANDEX: Service Centric Networking for Challenged Decentralised Networks
Planning Mobile Charging Vehicles Based on User Charging Behavior
Towards Supporting IoT Device Storage and Network Security Using DTLS
Accelerating Colorizer of Shaded Image for Autonomous Driving in Resource-Constrained SoC
Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities
Matchmaking Game Players On Public Transport
Maximizing Detection of Target with Multiple Direction Possibilities to Support Immersive Communications in Metaverse
Battery-enabled vehicle immobilizer
Demo: adaptive display power management for mobile games
Elix: Path-Selective Taint Analysis for Extracting Mobile App Links
Defending against Sybil Devices in Crowdsourced Mapping Services
Edge-IoT framework for speech and mobile-based human-robot interaction
An Experimental Study of Multimedia Traffic Performance in Mesh Networks
See through smoke: robust indoor mapping with low-cost mmWave radar
Urban Mobility and Networking
Poster: Sonicnect: Accurate Hands-Free Gesture Input System with Smart Acoustic Sensing
MixMax: Leveraging Heterogeneous Batteries to Alleviate Low Battery Experience for Mobile Users
nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices
Passive Detection of Perceived Stress Using Location-driven Sensing Technologies at Scale
Virtual Tourism with Drones: Experiments and Lag Compensation
Poster: Towards Federated Embodied AI with FEAI
GlimpseData: towards continuous vision-based personal analytics
mGEMM: low-latency convolution with minimal memory overhead optimized for mobile devices
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions
Supporting Factors in Descriptive Analysis of Brain Ischaemia
Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks
Prognosis of Approaching Infectious Diseases
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
A Hybrid Architecture for Knowledge-Based Systems
Learning Derived Words from Medical Corpora
Bayesian Deep Active Learning for Medical Image Analysis
A Neuro-Fuzzy-Classifier for a Knowledge-Based Glaucoma Monitor
A Petri Dish for Histopathology Image Analysis
Diaflux: A Graphical Language for Computer-Interpretable Guidelines
Artificial Intelligence Medicine, 5th Conference on Artificial Intelligence in Medicine in Europe, AIME'95, Pavia, Italy, June 25-28, 1995, Proceedings
SemanticCT: A Semantically-Enabled System for Clinical Trials
Conversational Case-Based Reasoning in Medical Classification and Diagnosis
Mapping Laboratory Medicine onto the Select and Test Model to Facilitate Knowledge-Based Report Generation in Laboratory Medicine
A Prototype Neural Network Decision-Support Tool for the Early Diagnosis of Acute Myocardial Infarction
Analysis of Medical Jargon: The RECIT System
Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology
Healthcare Knowledge Management: The Art of the Possible
Harnessing the Power of Graph Propagation in Lung Nodule Detection
Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission
Improved Identification of the Human Shoulder Kinematics with Muscle Biological Filters
Discovery of Logic-Probabilistic Rules from COVID-19 Vaccine Antibody Response in Older People: Results from the GeroCovid VAX Study
Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy
Constraining Protein Docking with Coevolution Data for Medical Research
Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data
Effect of Background Correction on Cancer Classification with Gene Expression Data
COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models
Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics
Quantitative and Qualitative Approaches to Reasoning under Uncertainty in Medical Decision Making
Using Large Language Model for Efficient Extraction of Treatment Discontinuation Information - A Study of Online Breast Cancer Community Posts
Case-Based Reasoning and Statistics for Discovering and Forecasting of Epidemics
Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce
Application of Inductive Logic Programming for Learning ECG Waveforms
Towards the Automated Calculation of Clinical Quality Indicators
Visualizing the brain structure with a DT-MRI minimum spanning tree
A symbolic theory of decision-making applied to several medical tasks
GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text
Telecardiology
Reinforcement Learning with Balanced Clinical Reward for Sepsis Treatment
Abductive Inference of Genetic Networks
Causal Brain Connectivity: Integrating Granger Directed Graphs in fMRI Analysis
Identifying Evidence Quality for Updating Evidence-Based Medical Guidelines
Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions
Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
A Consultation System for Transplantation Medicine
Explanation Improvement to Enhance Acceptance of the Plexus System
Goal-Based Decisions for Dynamic Planning
Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease
A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining
Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization
CORAAL - Towards Deep Exploitation of Textual Resources in Life Sciences
Reconstructing Medical Problem Solving Competence: Maccord
Large language models versus static word embeddings to predict Acute Kidney Injury in the Intensive Care Unit: Does context matter?
Semi-Qualitative Models and Simulation for Biomedical Applications
Steps on the Road to Clinical Application of Decision Support - Example TREAT
Copy-Number Alterations for Tumor Progression Inference
Creating Topic Hierarchies for Large Medical Libraries
Learning Medical Ontologies from the Web
Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts
Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons
Field Evaluations of a Knowledge-Based System for Peripheral Blood Interpretation
A Rule-Based Method for Specifying and Querying Temporal Abstractions
MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines
On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation and Evaluation of Knowledge Based Systems
A Knowledge Acquisition Tool for Medical Diagnostic Knowledge - Based Systems
Towards Dynamic Duration Constraints for Therapy and Monitoring Tasks
From Decision to Shared-Decision: Introducing Patients' Preferences in Clinical Decision Analysis - A Case Study in Thromboembolic Risk Prevention
Bayesian Clustering for HIV1 Protease Inhibitor Contact Maps
Towards Assigning Diagnosis Codes Using Medication History
Voice Pathology Classification by Using Features from High-Speed Videos
Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises
AtGCN: A Lightweight Graph Convolutional Network for Ataxic Gait Detection
A Microcomputer-Based Expert System for the Explanation of Oliguria
Deep Spatial Context: When Attention-Based Models Meet Spatial Regression (Digital Pathology)
Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer
An AI-Based Approach to Support Communication in Health Care Organizations
Challenges in Delivering Decision Support Systems: The MATE Experience
Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies
A Topological Data Analysis Framework for Computational Phenotyping
Probabilistic Modeling and Verification of an Adaptive VR Serious Game for Patients with Cognitive Impairment
A Cooperative and Adaptive Approach to Medical Image Segmentation
Abstracting the Patient Therapeutic History through a Heuristic-Based Qualtitative Handling of Temporal Indeterminacy
Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients
A Benchmark Evaluation of the French MeSH Indexers
Integration of Neural Networks and Rule Based Systems in the Interpretation of Liver Biopsy Images
Formalising Medical Quality Indicators to Improve Guidelines
A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery
Length of stay prediction and analysis through a growing neural gas model
Meta-Level Learning in a Hybrid Knowledge-Based Architecture
Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps
Contrast Set Mining for Distinguishing Between Similar Diseases
Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources
Knowledge Refinement of an Expert System Using a Symbolic-Connectionist Approach
Alerts as Starting Point for Hospital Infection Surveillance and Control
Constraint Reasoning in Deep Biomedical Models
Autoencoder-Based Prediction of ICU Clinical Codes
Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows
Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification
Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies
Improving XAI Explanations for Clinical Decision-Making - Physicians' Perspective on Local Explanations in Healthcare
Enabling Transcriptome Classification in Micro-cohorts with Pathway-Anchoring and Single-Subject Studies
Feasibility of Case-Based Beam Generation for Robotic Radiosurgery
Advanced Algorithms for Medical Decision Analysis. Implementation in OpenMarkov
Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems
Using a Cross-Language Approach to Acquire New Mappings between Two Biomedical Terminologies
Monitoring people that need assistance through a sensor-based system: evaluation and first results
REPS: A Rehabilitation Expert System for Post-stroke Patients
Uncertainty Propagation in Biomedical Models
Smooth Integration of Decision Support into an Existing Electronic Patient Record
Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task
Combining Clinical and Gene Expression Variables via Knowledge Graph Embedding for Prediction of Coronary Artery Stenosis
NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People
Numerical Eligibility Criteria in Clinical Protocols: Annotation, Automatic Detection and Interpretation
Sade - A Support Tool for the Diagnosis of Liver Diseases
Semi-supervised Projected Clustering for Classifying GABAergic Interneurons
PTransformer: A Prompt-Based Multimodal Transformer Architecture For Medical Tabular Data
Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data
Modeling of Ventricular Repolarisation Time Series by Multi-layer Perceptrons
AI Technologies: Conditions for Further Impact
Understanding Etiology of Complex Neurodevelopmental Disorders: Two Approaches
Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery
Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation
PIESYS: A Patient Model-Based Intelligent System for Continuing Hypertension Management
Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines
Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models
Automatic Combination of Formal Intervention Plans Using SDA* Representation Model
Case-Based Medical Multi-Expertise: An Example in Psychiatry
Enhancing the Value of Counterfactual Explanations for Deep Learning
Patterns of Clinical Trial Eligibility Criteria
Knowledge-Based Query Expansion
Sum-Product Networks for Early Outbreak Detection of Emerging Diseases
Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach
Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers
Knowledge Acquisition by the Domain Expert Using the Tool HEMATOOL
Studying the Reuse of Content in Biomedical Ontologies: An Axiom-Based Approach
SHAP-FL: Improving Explainability for Multicentric Sepsis Onset Prediction Through Background Dataset Synthesis
Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis
Algorithm and Care Pathway: Clinical Guidelines and Healthcare Processes
Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000
STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks
DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines
Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, Proceedings
Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records
Argumentation about Treatment Efficacy
Integrating Uncertainty Into U-Net Robustness Evaluation Under Natural MRI Alterations: Application to Kidney Segmentation
Subgroup Mining for Interactive Knowledge Refinement
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings
Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction
A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance
Towards Information Visualization and Clustering Techniques for MRI Data Sets
Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification
Knowledge Graphs for Clinical Data: Strategies and Challenges with an Application to MIMIC III Dataset
Classification of Early-Mild Subjects with Parkinson's Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions
Model-Based Image Segmentation: Methods and Applications
Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models
Knowledge Representation for Health-Care - AIME 2011 Workshop KR4HC 2011, Bled, Slovenia, July 2-6, 2011. Revised Selected Papers
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients
Evaluating Outliers for Cross-Context Link Discovery
An Ontology-Driven Personalization Framework for Designing Theory-Driven Self-management Interventions
A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification
3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network
Therapy Planning Using Qualtitative Trend Descriptions
Process Support and Knowledge Representation in Health Care - AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Murcia, Spain, June 1, 2013, Revised Selected Papers
Quality Assurance and Increased Efficiency in Medical Projects with Neural Networks by Using a Structured Development Method for Feedforward Neural Networks (SENN)
A Retrieval-Augmented Generation Strategy to Enhance Medical Chatbot Reliability
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
Mining Discriminant Sequential Patterns for Aging Brain
A Method for Diagnosing in Large Medical Expert Systems Based on Causal Probabilistic Networks
Model-Based Combination of Treatments for the Management of Chronic Comorbid Patients
Learning to Identify Inappropriate Antimicrobial Prescriptions
Mobile Indoor Localization with Bluetooth Beacons in a Pediatric Emergency Department Using Clustering, Rule-Based Classification and High-Level Heuristics
Explanations of Augmentation Methods for Deep Learning ECG Classification
Coordinating Taxonomies: Key to Re-Usable Concept Representations
Enhancing Aphasia Speech Interpretation using Small Language Models (SLMs)
Machine Learning as a Knowledge Acquisition Tool Application in the Domain of the Interpretation of Test Results
Knowledge Acquisition System to Support Low Vision Consultation
The Development of a Knowledge System for Surveillance of Anti-Epileptic Medication
Clinical Reasoning over Tabular Data and Text with Bayesian Networks
Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer
A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis
Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data
Prediction Modelling and Data Quality Assessment for Nursing Scale in a Big Hospital: A Proposal to Save Resources and Improve Data Quality
Discovering Probabilistic Structures of Healthcare Processes
Pseudo-CT Generation from Uncorrected PET Images Using Multiview Ensemble Conditional Diffusion Model for Attenuation Correction
A Platform Integrating Knowledge and Data Management for EMG Studies
The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions
Real Versus Artificial Expertise: The Development of Cognitive Models of Clinical Reasoning
Integrated Decision Support: The DIADOQ Computer-Based Patient Record
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach
Determining User Similarity in Healthcare Social Media Using Content Similarity and Structural Similarity
Mining Hospital Data to Learn SDA* Clinical Algorithms
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations
Extracting Food-Drug Interactions from Scientific Literature: Tackling Unspecified Relation
Biomedical Concepts Extraction Based on Possibilistic Network and Vector Space Model
Comparison of Probabilistic versus Non-probabilistic Electronic Nose Classification Methods in an Animal Model
Knowledge Representation of Discharge Summaries
Artificial Intelligence in Medicine - 23rd International Conference, AIME 2025, Pavia, Italy, June 23-26, 2025, Proceedings, Part II
Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
Ontology-Mediated Distributed Decision Support for Breast Cancer
Knowledge Representation for Health-Care: Data, Processes and Guidelines, AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected and Invited Papers
CUE-X: A Framework for the Automatic Evaluation of Clinical Usefulness of Explanations for the Multimorbidity Problem
Added-Value of Automatic Multilingual Text Analysis for Epidemic Surveillance
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
Mediated Agent Interaction
Automation of Medical Audit in General Practice
Discriminant Chronicles Mining - Application to Care Pathways Analytics
Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains
Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations
Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method
Supporting Computer-interpretable Guidelines' Modeling by Automatically Classifying Clinical Actions
Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption