yusuke1997/dblp-id-title huggingface dataset:
Human-centred design process when users have an evolving profile: a case study in Parkinson's disease domain
How do Players and Developers of Citizen Science Games Conceptualize Skill Chains?
PACMHCI, V9, N1, January 2025 Editorial
Behold the Once and Future Me: Online Identity After the End of a Romantic Relationship
Facilitating Asynchronous Collaboration in Scientific Workflow Composition Using Provenance
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
Event-Driven Predictive Gaze Analytics to Enhance Aviation Safety
More Than Just Microtransactions: Predatory Monetization in User-Generated Games
Adopting Third-party Bots for Managing Online Communities
Implications of Grassroots Sustainable Agriculture Community Values on the Design of Information Systems
Critique Me: Exploring How Creators Publicly Request Feedback in an Online Critique Community
Exploring the Role of Chatbots in Tackling COVID-19 Vaccine Hesitancy among Pregnant and Breastfeeding Women in Rural Northern India
Design and Intervention in the Age of "No Alternative"
Tensions between Access and Control in Makerspaces
A Tale of Creativity and Struggles: Team Practices for Bottom-Up Innovation in Virtual Game Jams
Navigating Non-binary Experiences: Insights and Design Implications in Mandarin-Speaking Taiwanese Online Spaces
If You Build It, They Will Comment: Distributed Mentoring in an Online Game Modding Community
Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based Processes
Structure or Nurture?: The Effects of Team-Building Activities and Team Composition on Team Outcomes
Hive: Collective Design Through Network Rotation
The Language of LGBTQ+ Minority Stress Experiences on Social Media
Exploring Design Opportunities for Improved Self-motivation in Self-tracking and Health Goal Achievement
The Role of Partial Automation in Increasing the Accessibility of Digital Games
Bodily Experiences of Illness and Treatment as Information Work: The Case of Chronic Kidney Disease
Social CheatSheet: An Interactive Community-Curated Information Overlay for Web Applications
Investigating User-perceived Impacts of Contextual Factors on Opportune Moments
How Recent Migrants Develop Trust Through Community Commerce: The Emergence of Sociotechnical Adaptation
Reimagining Communities through Transnational Bengali Decolonial Discourse with YouTube Content Creators
Let's Play Together through Channels: Understanding the Practices and Experience of Danmaku Participation Game Players in China
Parameter Disentanglement for Diverse Representations
Impact of Mobile Technology and Use of Big Data in Physics Education During Coronavirus Lockdown
A novel influence maximization algorithm for a competitive environment based on social media data analytics
On quantum methods for machine learning problems part II: Quantum classification algorithms
Improving Few-Shot Named Entity Recognition with Causal Interventions
Auxo: a temporal graph management system
LotusSQL: SQL engine for high-performance big data systems
Large-Scale Model Meets Federated Learning: A Hierarchical Hybrid Distributed Training Mechanism for Intelligent Intersection Large-Scale Model
Clinical big data and deep learning: Applications, challenges, and future outlooks
Feature representations using the reflected rectified linear unit (RReLU) activation
Analysis and predictions of spread, recovery, and death caused by COVID-19 in India
Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization
Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery: A Systematic Review
Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection
Gradient amplification: An efficient way to train deep neural networks
Personalized Federated Learning for Heterogeneous Residential Load Forecasting
Big data with cloud computing: Discussions and challenges
Network representation based on the joint learning of three feature views
ETV-MVS: Robust Visibility-Aware Multi-View Stereo with Epipolar Line-Based Transformer
Exploiting more associations between slots for multi-domain dialog state tracking
A Remedy for Heterogeneous Data: Clustered Federated Learning with Gradient Trajectory
Call for Papers: Special Issue on AI-Enhanced Big Data Governance
Model error correction in data assimilation by integrating neural networks
DeepEye: An automatic big data visualization framework
Survey on data analysis in social media: A practical application aspect
Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices
BPS-FL: Blockchain-Based Privacy-Preserving and Secure Federated Learning
Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network
DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction
VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks
Census and Analysis of Higher-Order Interactions in Real-World Hypergraphs
Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms
Improvement in automated diagnosis of soft tissues tumors using machine learning
Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection
High performance frequent subgraph mining on transaction datasets: A survey and performance comparison
Understanding the behavioral differences between american and german users: A data-driven study
A deep-learning prediction model for imbalanced time series data forecasting
Tweetluenza: Predicting flu trends from twitter data
Towards understanding the security of modern image captchas and underground captcha-solving services
Sparse deep nonnegative matrix factorization
Efficient preference clustering via random fourier features
Dynamic Knowledge Path Learning for Few-Shot Learning
SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs
Distributed storage system for electric power data based on Hbase
A comparison of computational approaches for intron retention detection
GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model
Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis
An advanced uncertainty measure using fuzzy soft sets: Application to decision-making problems
Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism
Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data
A survey of matrix completion methods for recommendation systems
Statistical learning for semantic parsing: A survey
Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI
DeepEye: Link prediction in dynamic networks based on non-negative matrix factorization
Influence of Attribute Granulation on Three-Way Concept Lattices
Sensitive integration of multilevel optimization model in human activity recognition for smartphone and smartwatch applications
Editorial: Special Section on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications
Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications
Extending OpenStack Monasca for Predictive Elasticity Control
DFF-ResNet: An insect pest recognition model based on residual networks
RF-PSSM: A Combination of Rotation Forest Algorithm and Position-Specific Scoring Matrix for Improved Prediction of Protein-Protein Interactions Between Hepatitis C Virus and Human
QoE-driven big data management in pervasive edge computing environment
SpaCCC: Large Language Model-Based Cell-Cell Communication Inference for Spatially Resolved Transcriptomic Data
G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data
Security and Privacy in Metaverse: A Comprehensive Survey
Predicting the Imbalanced Impact of Drugs on Microbial Abundance Using Multi-View Learning and Data Augmentation
Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal
Hybrid recommender system for tourism based on big data and AI: A conceptual framework
Deep learning in nuclear industry: A survey
Sampling with prior knowledge for high-dimensional gravitational wave data analysis
Molecular Generation and Optimization of Molecular Properties Using a Transformer Model
Natural neighborhood-based classification algorithm without parameter k
A novel clustering technique for efficient clustering of big data in Hadoop Ecosystem
A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network
Effect of E-learning on public health and environment during COVID-19 lockdown
Selective ensemble learning method for belief-rule-base classification system based on PAES
Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction
Call for Papers: Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators
A survey on algorithms for intelligent computing and smart city applications
Desensitized Financial Data Generation Based on Generative Adversarial Network and Differential Privacy
Multimodal adaptive identity-recognition algorithm fused with gait perception
Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers
τSQWRL: A TSQL2-Like Query Language for Temporal Ontologies Generated from JSON Big Data
Network Diffusion Framework to Simulate Spreading Processes in Complex Networks
A PLS-SEM Based Approach: Analyzing Generation Z Purchase Intention Through Facebook's Big Data
Applying big data based deep learning system to intrusion detection
Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis
Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach
Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks
Text-based price recommendation system for online rental houses
Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction
MAGAN: Unsupervised low-light image enhancement guided by mixed-attention
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images
A Multi-Task Based Clustering Personalized Federated Learning Method
MW-UNet: Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data
AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business
Feature selection with graph mining technology
Event detection and identification of influential spreaders in social media data streams
Prediction of COVID-19 confirmed, death, and cured cases in India using random forest model
Gender-Based Analysis of User Reactions to Facebook Posts
Personalized Privacy-Preserving Data Utilization Approach Powered by Distributed-GAN
Improvising personalized travel recommendation system with recency effects
Human Action Recognition Using Difference of Gaussian and Difference of Wavelet
Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review
Call for Papers: Special Issue on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications
Big data oriented novel background subtraction algorithm for urban surveillance systems
A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease
Transformer-Based Single-Cell Language Model: A Survey
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models
Call for Papers: Special Issue on Big Data Computing for Cyber Physical Social Intelligence
Multi-attention fusion modeling for sentiment analysis of educational big data
Recommendation System with Biclustering
$\tau\text{JOWL}$: A Systematic Approach to Build and Evolve a Temporal OWL 2 Ontology Based on Temporal JSON Big Data
Spreading social influence with both positive and negative opinions in online networks
MMAR-Net: A Multi-Stride and Multi-Resolution Affine Registration Network for CT Images
A Comprehensive Investigation to Identify Prognostic mRNA and miRNA Signatures for Renal Cell Carcinoma Utilizing a Stratification-Based Approach
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning
Federated Learning on Heterogeneous Images in Internet of Biomedical Things
SVMFN-FSAR: Semantic-Guided Video Multimodal Fusion Network for Few-Shot Action Recognition
Disentangling Reasoning Factors for Natural Language Inference
EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation
K-Means Clustering with Local Distance Privacy
Deep Feature Learning for Intrinsic Signature Based Camera Discrimination
Predicted Mean Vote of Subway Car Environment Based on Machine Learning
Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation
BCSE: Blockchain-based trusted service evaluation model over big data
Coronavirus pandemic analysis through tripartite graph clustering in online social networks
HPPQ: A parallel package queries processing approach for large-scale data
IDBR: Interaction-Aware Dual-Granularity Learning for Bundle Recommendation
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks
Application of Internet of Things in the Health Sector: Toward Minimizing Energy Consumption
A Reinforcement Learning Approach for Graph Rule Learning
MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction
AIPerf: Automated machine learning as an AI-HPC benchmark
Relation classification via recurrent neural network with attention and tensor layers
TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation
Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization
ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph
QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism
A multi-granularity decomposition mechanism of complex tasks based on density peaks
Location prediction on trajectory data: A review
Large Language Model for Medical Images: A Survey of Taxonomy, Systematic Review, and Future Trends
Error data analytics on RSS range-based localization
A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer
News topic detection based on capsule semantic graph
Applications of deep learning to MRI images: A survey
Affective Video Content Analysis: Decade Review and New Perspectives
Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data
Effect of Feature Selection on the Prediction of Direct Normal Irradiance
Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder
Enhanced Attention-Driven Dynamic Graph Convolutional Network for Extracting Drug-Drug Interaction
Disseminating authorized content via data analysis in opportunistic social networks
Deep sequential model for anchor recommendation on live streaming platforms
Knowledge Error Detection via Textual and Structural Joint Learning
A Brief Review of Network Embedding
Inference attacks on genomic data based on probabilistic graphical models
SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
DeepRetention: A Deep Learning Approach for Intron Retention Detection
ZenLDA: Large-scale topic model training on distributed data-parallel platform
An Overview of Deep Neural Networks for Few-Shot Learning
Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit
Efficacy of Bluetooth-Based Data Collection for Road Traffic Analysis and Visualization Using Big Data Analytics
Node and Edge Joint Embedding for Heterogeneous Information Network
Large Language Models in Psychiatry: Current Applications, Limitations, and Future Scope
Comparative study of statistical features to detect the target event during disaster
Prediction of miRNA-circRNA associations based on k-NN multi-label with random walk restart on a heterogeneous network
EScope: Effective Event Validation for IoT Systems Based on State Correlation
On quantum methods for machine learning problems part I: Quantum tools
KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt
House Price Prediction: A Multi-Source Data Fusion Perspective
Photovoltaic Power Forecasting with Weather Conditioned Attention Mechanism
A Method for Bio-Sequence Analysis Algorithm Development Based on the PAR Platform
Intelligent and adaptive web data extraction system using convolutional and long short-term memory deep learning networks
Graph Evolution Rules Meet Communities: Assessing Global and Local Patterns in the Evolution of Dynamic Networks
Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization
Fast skyline community search in multi-valued networks
Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms
Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning
A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method
Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction
New enhanced authentication protocol for Internet of Things
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
Artificial Intelligence Methods Applied to Catalytic Cracking Processes
Attention-aware heterogeneous graph neural network
Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm
AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector
A Survey on Event Tracking in Social Media Data Streams
Call for Papers: Special Issue on Edge AI Empowered Giant Model Training
WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics
An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition
Mining conditional functional dependency rules on big data
Multi-view clustering: A survey
Exploratory and Interpretable Approach to Estimating Latent Health Risk Factors Without Using Domain Knowledge
Heterogeneous network-based chronic disease progression mining
Dual Context Representation Learning Framework for Entity Alignment
Toward intelligent financial advisors for identifying potential clients: A multitask perspective
Online real-time trajectory analysis based on adaptive time interval clustering algorithm
Collaborative Knowledge Infusion for Low-Resource Stance Detection
Machine knowledge and human cognition
Intelligent Segment Routing: Toward Load Balancing with Limited Control Overheads
Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection
Effective variational data assimilation in air-pollution prediction
Call for Papers: Special Issue on Intelligent Network Video Advances Based on Transformers
KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection
Bayesian analysis of complex mutations in HBV, HCV, and HIV studies
Limits of Depth: Over-Smoothing and Over-Squashing in GNNs
Editorial: Special Section on Intelligent Network Video Advances Based on Transformers
PURP: A Scalable System for Predicting Short-Term Urban Traffic Flow Based on License Plate Recognition Data
Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence
Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering
Intelligent monitoring system for biogas detection based on the Internet of Things: Mohammedia, Morocco city landfill case
Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals
An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security
IPSA: A Multi-View Perception Model for Information Propagation in Online Social Networks
FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction
SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning
A semi-supervised attention model for identifying authentic sneakers
Unstructured Big Data Threat Intelligence Parallel Mining Algorithm
QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series
Multi-class sentiment analysis on twitter: Classification performance and challenges
Big data analytics for healthcare industry: impact, applications, and tools
A survey of data partitioning and sampling methods to support big data analysis
SCoAMPS: Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity
Effective density-based clustering algorithms for incomplete data
Diagnosis of COVID-19 from chest X-ray images using wavelets-based depthwise convolution network
Mathematical validation of proposed machine learning classifier for heterogeneous traffic and anomaly detection
Analysis and Classification of Fake News Using Sequential Pattern Mining
Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection
Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble
Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering
Exploring Fragment Adding Strategies to Enhance Molecule Pretraining in AI-Driven Drug Discovery
Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering
MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation
A Systematic Review Towards Big Data Analytics in Social Media
$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks
Editorial: Special Section on Edge AI Empowered Giant Model Training
An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems
Denoising Graph Inference Network for Document-Level Relation Extraction
An improved hybrid collaborative filtering algorithm based on tags and time factor
An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection
Graph Deep Active Learning Framework for Data Deduplication
Multi-Scale DCNN with Dynamic Weight and Part Cross-Entropy Loss for Skin Lesion Diagnosis
An Optimized Sanitization Approach for Minable Data Publication
Developing a pattern discovery method in time series data and its GPU acceleration
Novel and efficient randomized algorithms for feature selection