yusuke1997/dblp-id-title huggingface dataset:
On the treewidth of triangulated 3-manifolds
A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives
Research on human-AI co-creation based on reflective design practice
Understanding intergenerational fitness tracking practices: 12 suggestions for design
Deep learning for intelligent traffic sensing and prediction: recent advances and future challenges
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets
Performance study of crowd flow in academic buildings of an institution
Trajectory fingerprint: one-shot human trajectory identification using Siamese network
EEG-based emotion recognition via capsule network with channel-wise attention and LSTM models
A lightweight and real-time responsive framework for various visual tasks via neural architecture search
Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN - concept, framework and case studies
Interface of mixed reality: from the past to the future
Exploring embodied emotional communication: a human-oriented review of mediated social touch
Correction: Performance study of crowd flow in academic buildings of an institution
Editorial for special issue on multimodal human-computer interaction for pervasive computing
NMF based image sequence analysis and its application in gait recognition
Human-machine collaboration based sound event detection
A context knowledge guided transformer framework for long-term traffic prediction
Designing for trust: a set of design principles to increase trust in chatbot
Pre-braking behaviors analysis based on Hilbert-Huang transform
Special issue on recommender system
PWCT: a novel general-purpose visual programming language in support of pervasive application development
Device free human activity and fall recognition using WiFi channel state information (CSI)
IoT reliability: a review leading to 5 key research directions
Motor imagery classification method based on Riemannian Manifold and CNN-LSTM for advanced brain computer interfaces
A smart obstacle avoiding technology based on depth camera for blind and visually impaired people
TransLine: transfer learning for accurate and explainable power line anomaly detection with insufficient data
Gam360: sensing gaze activities of multi-persons in 360 degrees
Correction to: Special issue on recommender system
Study on feasibility of remote metal detection using millimeter wave radar for convenient and efficient security check
Towards centralized transmission coordination in WLANs: a cross-layer approach
Opportunistic pervasive computing: adaptive context recognition and interfaces
Tws-based path planning of multi-AGVs for logistics center auto-sorting
Spatialgaze: towards spatial gaze tracking for extended reality
Exploring how software developers work with mention bot in GitHub
Multi-task scheduling in vehicular edge computing: a multi-agent reinforcement learning approach
Multi-modal fusion in ergonomic health: bridging visual and pressure for sitting posture detection
Bio-physiological-signals-based VR cybersickness detection
Data-sharing markets for integrating IoT data processing functionalities
Human-centered intelligent healthcare: explore how to apply AI to assess cognitive health
MobiEye: turning your smartphones into a ubiquitous unobtrusive vital sign monitoring system
A service-oriented edge platform for cyber-physical systems
Longitudinal analysis of heart rate and physical activity collected from smartwatches
Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction
Ambient haptics: bilateral interaction among human, machines and virtual/real environments in pervasive computing era
NCR-KG: news community recommendation with knowledge graph
Restoring latent factors against negative transfer using partial-adaptation nonnegative matrix factorization
Easily-add battery-free wireless sensors to everyday objects: system implementation and usability study
Gazenum: unlock your phone with gaze tracking viewing numbers for authentication
Fine-grained hand gesture recognition based on active acoustic signal for VR systems
Elastic AI: system support for adaptive machine learning in pervasive computing systems
Ef-kpress: joint event-frame compression and video generation with event cameras for low-bandwidth VR streaming
Accurate human activity recognition with multi-task learning
Speed up random walk by leveraging community affiliation information
A survey of mobile crowdsensing and crowdsourcing strategies for smart mobile device users
UCTB: an urban computing tool box for all-in-one spatiotemporal prediction solution
RETRACTED ARTICLE: Human activity recognition with deep learning: overview, challenges and possibilities
Emerging mobile apps: challenges and open problems
Exercise recommendation method based on knowledge tracing and concept prerequisite relations
Fairness task assignment strategy with distance constraint in Mobile CrowdSensing
Value-based model of user interaction design for virtual museum
COSense: collaborative and opportunistic sensing of road events by vehicles' cameras
Enhanced question understanding for multi-type legal question answering
AviPer: assisting visually impaired people to perceive the world with visual-tactile multimodal attention network
Incorporating pixel proximity into answer aggregation for crowdsourced image segmentation
Autonomous extraction of range of motion data for a knee extension monitoring and rehabilitation device to support users and medical experts
Blockchain-based decentralized model for mobile crowd-sensing
A survey on construction and enhancement methods in service chatbots design
Acoustic sensing mechanisms, technologies, and applications: a survey
Human-in-the-loop machine learning with applications for population health
Occupancy inference using infrastructure elements in indoor environment: a multi-sensor data fusion
MyWay: a 3D and audio-enhanced transportation learning kit for the visually impaired teenagers
Editorial for special issue on human-centered cooperative computing
FA-YOLO: fire alarm based on YOLO algorithm
Demographics of mobile app usage: long-term analysis of mobile app usage
Computational model for predicting user aesthetic preference for GUI using DCNNs
Gesture recognition with RFID: an experimental study
Neural news recommendation with negative feedback
A survey on EEG-based neurophysiological research for emotion recognition
Modeling user interactions by feature-augmented graph neural networks for recommendation
Artificial Intelligence and the Internet of Things in Industry 4.0
A multi-task embedding based personalized POI recommendation method
Accurate and robust odometry by fusing monocular visual, inertial, and wheel encoder
Research on pedestrian counting based on millimeter wave
Editorial for special issue on mobile intelligence: sensing, computing and networking
A bandwidth-fair migration-enabled task offloading for vehicular edge computing: a deep reinforcement learning approach
Correction to: Human-machine computing
Multimodal sentiment analysis based on slice aggregation and dynamic fusion
Understanding practices and needs of researchers in human state modeling by passive mobile sensing
CMPIR: cross-modal pose image reconstruction via style-semantic fusion
Comparing self-supervised learning techniques for wearable human activity recognition
LR 2 Scheduler: layer-aware, resource-balanced, and request-adaptive container scheduling for edge computing
Effect of cognitive-behavioral therapy for the elderly on driving behavior and emotional state: a randomized controlled trial
AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning
Robust spatio-temporal demand prediction for bike-sharing systems with dynamic hierarchical structure
Feasibility study of practical vital sign detection using millimeter-wave radios
A two-tiered incentive mechanism design for federated crowd sensing
Handleap: towards contact-free gesture interaction with earphones via acoustic sensing
MAG: a smart gloves system based on multimodal fusion perception
Data-driven hospital personnel scheduling optimization through patients prediction
Job recommendation algorithm for graduates based on personalized preference
ERMPD: causal intervention for popularity debiasing in recommendation via empirical risk minimization
Inaugural editorial of CCF transactions on pervasive computing and interaction
A fine-grained gesture tracking system based on millimeter-wave
Revisiting human activity recognition using smaller DNN
Survey on inertial sensor-based ILS for smartphone users
Learning from visual content and style: an image-enhanced recommendation model
A neural network approach for wireless spectrum anomaly detection in 5G-unlicensed network
Feature learning for Human Activity Recognition using Convolutional Neural Networks
Is identifying boredom the answer to controlling the bombardment of notifications on mobile devices?
Exploring cross-variety fruit spoilage monitoring methods based on electronic nose: taking grapes as examples
Multi-agent mobile crowdsensing by pervasive machines: a robust task allocation approach
An efficient ride-sharing recommendation for maximizing acceptance on geo-social data
Risk detection of clinical medication based on knowledge graph reasoning
Implicit authentication with sensor normalization and multi-modal domain adaption based on mobile crowd sensing
C4y: a metric for distributed IoT clustering
Recent advance on detecting core-periphery structure: a survey
HiveRel: hexagons visualization for relationship-based knowledge acquisition
Human-Engaged Computing: the future of Human-Computer Interaction
Web accessibility automatic evaluation tools: to what extent can they be automated?
A particle swarm optimization routing scheme for wireless sensor networks
Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers
A novel asymmetric loss function for deep clustering-based health monitoring and anomaly detection for spacecraft telemetry
Pervasive computing middleware: current trends and emerging challenges
DeepOffense: a recurrent network based approach for crime prediction
Public vs media opinion on robots and their evolution over recent years
Correction to: Fairness task assignment strategy with distance constraint in Mobile CrowdSensing
CrowdTelescope: Wi-Fi-positioning-based multi-grained spatiotemporal crowd flow prediction for smart campus
Human-machine computing
The role of assertiveness in mitigating job burnout: a study of university administrators in Gansu Province, China
Helpfulness-aware review based neural recommendation
RetroFlex: enabling intuitive human-robot collaboration with flexible retroreflective tags
Predicting and Recommending the next Smartphone Apps based on Recurrent Neural Network
Emotion monitoring with RFID: an experimental study
Research on the physiological load of interactive gesture in elderly based on sEMG
Graph neural ordinary differential equations for epidemic forecasting
Correction to: MobiEye: turning your smartphones into a ubiquitous unobtrusive vital sign monitoring system
A feature selection approach for smartphone-based human activity recognition applying genetic algorithm
Large-scale trajectory prediction via relationship-aware adaptive hierarchical graph learning
An efficient and low power deep learning framework for image recognition on mobile devices
Research on cognition and application of icon complexity based on EEG
TransPPG: two-stream transformer for remote heart rate estimate
I see, you design: user interface intelligent design system with eye tracking and interactive genetic algorithm
The dynamic grouping keyboard: a general keyboard optimization approach for users with motor impairment
Cross-technology interference: detection, avoidance, and coexistence mechanisms in the ISM bands
ContextMate: a context-aware smart agent for efficient data analysis
Dual-label aware service replacement for interaction quality improvement in heterogeneous MEC system
Abstractive summarization-based academic paper title drafting
PJ-Sec: secure node joining in mobile P2P networks
Mobile parking incentives for vehicular networks: a deep reinforcement learning approach
Vibration-based pervasive computing and intelligent sensing
A survey on pervasive computing over context-aware system
An AST-based consistency maintenance scheme for cross-chain digital assets
How does frame-loss affect users' perception of smoothness?
A novel complex network prediction method based on multi-granularity contrastive learning
Enhancing Alzheimer's detection: VAE-augmented handwriting analysis
STB: space time boxes
Estimating mental health by analyzing the impact of cognitive load on working memory using AI
A 3D sunken-relief generation method of human faces from depth images of feature lines
Human factors/ergonomics evaluation for virtual reality headsets: a review
Manifestation of virtual assistants and robots into daily life: vision and challenges
PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data
When mobility on demand meets vehicle electrification: a longitudinal study on evolution of city-scale ridesharing
Antecedents of collective privacy management in social network sites: a cross-country analysis
Ten scientific problems in human behavior understanding
Multi-band metasurface design for seamless communication and sensing enhancement
Editorial for special issue on big HCI, better service: pervasive, collaborative and innovative interaction
Exploring data- and knowledge-driven methods for adaptive activity learning with dynamically available contexts
Implement of a secure selective ultrasonic microphone jammer
Social interaction models for trust systems design
Editorial for the special issue on emerging technologies and applications for AIoT
AI based emergency vehicle priority system
Using eye-tracking for real-time translation: a new approach to improving reading experience
Monitoring motor symptoms in Parkinson's disease via instrumenting daily artifacts with inertia sensors
Multimodal motivation modelling and computing towards motivationally intelligent E-learning systems
Distributed multi-agent deep reinforcement learning for trajectory planning in UAVs-assisted edge offloading
CoAR-Maze: empowering children's collaborative tangible programming in augmented reality
From driving trajectories to driving paths: a survey on map-matching Algorithms
A parallel network encoding dialog history template for end-to-end task-oriented dialog
Attentive Auto-encoder for Content-Aware Music Recommendation
MELPD-Detector: Multi-level ensemble learning method based on adaptive data augmentation for Parkinson disease detection via free-KD
Revolutionizing urban mobility: exploring the nexus of smart cities and bidirectional electric vehicle integration
Human activity recognition based on multi-modal fusion
Smartphone continuous user identification via hybrid transfer learning: leveraging common semantic space and pre-trained models
Portrait of decentralized application users: an overview based on large-scale Ethereum data
ContinuousSensing: a task allocation algorithm for human-robot collaborative mobile crowdsensing with task migration
Estimating missing data for sparsely sensed time series with exogenous variables using bidirectional-feedback echo state networks
Color matching design simulation platform based on collaborative collective intelligence
Playability heuristics for game interface design for children
Investigating smartphone user differences in their application usage behaviors: an empirical study
A system to monitor one's nearsightedness implicitly
Autonomic semantic agent-based platform for dynamic diseases detection with optimal services selection and deployment
Assisting embodied AI: a survey of 3D segmentation models for medical CT images
Multimodal intent understanding and interaction system for elderly-assisted companionship
Afl-gan: adaptive federated learning for generative adversarial network with resource constraints
WiFi CSI-based device-free sensing: from Fresnel zone model to CSI-ratio model
A method for human-robot complementary collaborative assembly based on knowledge graph
Investigating collaboration in ubiquitous computing research
AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context
Meta-path guided graph attention network for explainable herb recommendation
Classification and prediction of diabetes disease using machine learning paradigm
Insights into temporal patterns of hospital patient safety from routinely collected electronic data
Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs
Towards the classification of heart sounds based on convolutional deep neural network
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network
Inferring disease transmission networks at a metapopulation level
A novel information sharing framework for people living with type-2 diabetes in the context of a group education program
Automatic detection of tweets reporting cases of influenza like illnesses in Australia
Graphical modeling and query language for hospitals
A method of VR-EEG scene cognitive rehabilitation training
A systematic exploration of the micro-blog feature space for teens stress detection
A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning
iPathCase KEGG : An iPad interface for KEGG metabolic pathways
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review
Real-time estimated Sequential Organ Failure Assessment (SOFA) score with intervals: improved risk monitoring with estimated uncertainty in health condition for patients in intensive care units
An assessment of random forest technique using simulation study: illustration with infant mortality in Bangladesh
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs
An algorithm for Parkinson's disease speech classification based on isolated words analysis
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches
Neural attention with character embeddings for hay fever detection from twitter
MLBCD: a machine learning tool for big clinical data
Retinal blood vessels extraction using probabilistic modelling
Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution
CURENet: combining unified representations for efficient chronic disease prediction
EAPR: explainable and augmented patient representation learning for disease prediction
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery
Hand tremor detection in videos with cluttered background using neural network based approaches
Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning
A space-frequency localized approach of spatial filtering for motor imagery classification
Estimation of number of ever born children using zero truncated count model: evidence from Bangladesh Demographic and Health Survey
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network
Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening
Csec-net: a novel deep features fusion and entropy-controlled firefly feature selection framework for leukemia classification
Cloud based framework for diagnosis of diabetes mellitus using K-means clustering
Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics
Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis
Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing
Predictive modeling of depression and anxiety after myocardial infarction: a study on influential factors and heart rate variability
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images
The effect of physical activity on anti-infection immunity: a review
Bio and health informatics meets cloud : BioVLab as an example
CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data
Disulfidptosis-associated gene signatures in sepsis: a diagnostic model based on an LLM-assisted bioinformatics analysis
Factors influencing prospective mother with prenatal qualified doctor care among the reproductive women in Bangladesh
Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video
AI-driven approaches for automatic detection of sleep apnea/hypopnea based on human physiological signals: a review
USC-ENet: a high-efficiency model for the diagnosis of liver tumors combining B-mode ultrasound and clinical data
Mdpg: a novel multi-disease diagnosis prediction method based on patient knowledge graphs
Emotion classification using flexible analytic wavelet transform for electroencephalogram signals
Interrelated feature selection from health surveys using domain knowledge graph
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification
Effectiveness assessment of repetitive transcranial alternating current stimulation with concurrent EEG and fNIRS measurement
LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset
Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data
Clinical and epidemiological investigation of a child with asymptomatic COVID-19 infection following reoccurrence
Keyword extraction and structuralization of medical reports
KSDKG: construction and application of knowledge graph for kidney stone disease based on biomedical literature and public databases
Impact of COVID-19 prevalence and mode of transmission on mortality cases over WHO regions
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies
Physicians' and pharmacists' use of My Health Record in the emergency department: results from a mixed-methods study
DiabeRules: a transparent rule based expert system for managing diabetes
Document recommendation based on interests of co-authors for brain science
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm
LDD-VTS: an AI-based framework for lung disease diagnosis using vision transformers and SHAP
Large language models in healthcare: a systematic evaluation on medical Q/A datasets
Automatic detection of gastrointestinal system abnormalities using deep learning-based segmentation and classification methods
Knowledge and data-driven prediction of organ failure in critical care patients
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection
PredicT-ML: a tool for automating machine learning model building with big clinical data