yusuke1997/dblp-id-title huggingface dataset:
Correlated Differential Privacy Protection for Mobile Crowdsensing
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking
Fast Tensor Factorization for Large-Scale Context-Aware Recommendation from Implicit Feedback
SGAE: Stacked Graph Autoencoder for Deep Clustering
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing
Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs
Data Exchange for the Metaverse With Accountable Decentralized TTPs and Incentive Mechanisms
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation
FuzzyPPI: Large-Scale Interaction of Human Proteome at Fuzzy Semantic Space
K-Nearest Neighbor Search by Random Projection Forests
Visual Analytics in Urban Computing: An Overview
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning
Country Image in COVID-19 Pandemic: A Case Study of China
A Pre-Authentication Approach to Proxy Re-Encryption in Big Data Context
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting
MemepiC: Towards a Unified In-Memory Big Data Management System
Robust Joint Graph Learning for Multi-View Clustering
Towards Dynamic Verifiable Pattern Matching
Secure Authentication in Cloud Big Data with Hierarchical Attribute Authorization Structure
Towards the Inference of Travel Purpose with Heterogeneous Urban Data
MtMR: Ensuring MapReduce Computation Integrity with Merkle Tree-Based Verifications
AB-DOM: An Algorithmic Framework for Supporting Privacy-Preserving Big Data Publishing in Big Data Lakes
FIG: Feature-Weighted Information Granules With High Consistency Rate
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
Retrieving Objects by Partitioning
Survey on Improving Data Utility in Differentially Private Sequential Data Publishing
Prediction of Multivariate Spatial-Temporal Series Data Based on Adaptive Spatial-Temporal Information
Causal Feature Selection With Efficient Spouses Discovery
DAWN: Domain Generalization Based Network Alignment
Characterizing User Connections in Social Media through User-Shared Images
AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability
GeoVoronoi: A Voronoi Diagram Generation System for Large-Scale Geographical Point Data via Spatial Attribute Association
Efficient Learning for Billion-Scale Heterogeneous Information Networks
Asymmetric Dual-Encoder Network With Clustering and Mutual Contrast Loss for the Semantic Segmentation of Remote-Sensing Images
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels
DMP: Content Delivery With Dynamic Movement Pattern in Vehicular Networks
Survey and Analysis of Current End-User Data Analytics Tool Support
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings
A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives
Fine-Tuning a Biased Model for Improving Fairness
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree
A Novel Concept-Cognitive Learning Model Oriented to Three-Way Concept for Knowledge Acquisition
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes
On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data
ALAD: A New Unsupervised Time Series Anomaly Detection Paradigm Based on Activation Learning
An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data
TUSQ: Targeted High-Utility Sequence Querying
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems
Towards Green Cloud Computing: Demand Allocation and Pricing Policies for Cloud Service Brokerage
Special Issue on Big Data Applications in Cyber Security and Threat Intelligence - Part 2
Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark
Identity-Based Dynamic Data Auditing for Big Data Storage
How Long Will This Live? Discovering the Lifespans of Software Engineering Ideas
NetPrompt: Neural Network Prompting Enhances Event Extraction in Large Language Models
Deduplication on Encrypted Big Data in Cloud
Deadline-Aware Cost Optimization for Spark
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning
Optical Compressive Imaging Technologies for Space Big Data
MHT-Net: A Matching-Based Hierarchical Transfer Network for Glaucoma Detection From Fundus Images
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices
Mitosis Detection in Phase Contrast Microscopy Image Sequences of Stem Cell Populations: A Critical Review
A Secure High-Order Lanczos-Based Orthogonal Tensor SVD for Big Data Reduction in Cloud Environment
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction
Cascaded Knowledge-Level Fusion Network for Online Course Recommendation System
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances
DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce
Novel Multi-Feature Fusion Facial Aesthetic Analysis Framework
ALD-GCN: Graph Convolutional Networks With Attribute-Level Defense
Exploration of Image Search Results Quality Assessment
From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC
Novel Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation on Large-Scale Networks
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs
Citywide Traffic Volume Inference with Surveillance Camera Records
Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates
Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework
Incorporating Confused Phraseological Knowledge Based on Pinyin Input Method for Chinese Spelling Correction
Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion
FAER: Fairness-Aware Event-Participant Recommendation in Event-Based Social Networks
CHEAT: A Large-Scale Dataset for Detecting CHatGPT-writtEn AbsTracts
GTPool: Graph Transformer Pooling With Diverse Sampling
Innovative Approach for PMM Data Processing and Analytics
Security-Aware Resource Allocation for Mobile Social Big Data: A Matching-Coalitional Game Solution
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters
Stable Learning via Dual Feature Learning
On the Opportunistic Topology of Taxi Networks in Urban Mobility Environment
MemDefense: Defending Against Membership Inference Attacks in IoT-Based Federated Learning via Pruning Perturbations
Mosaicking Copernicus Sentinel-1 Data at Global Scale
x-ECON: Explainable Event-Consumption Commonsense Reasoning
Towards Privacy-Aware Causal Structure Learning in Federated Setting
Federated Multi-View Multi-Label Classification
Leakage Resilient Leveled FHE on Multiple Bits Message
Bi-Directional Spatiotemporal Gated Graph Convolutional Network for Traffic Speed Prediction
DistillSleepNet: Heterogeneous Multi-Level Knowledge Distillation via Teacher Assistant for Sleep Staging
Forecasting People's Needs in Hurricane Events from Social Network
Quality Inference in Federated Learning With Secure Aggregation
Detecting Anomalous Behavior in Cloud Servers by Nested-Arc Hidden SEMI-Markov Model with State Summarization
Fine-Tuned Personality Federated Learning for Graph Data
SIMiner: A Stigmergy-Based Model for Mining Influential Nodes in Dynamic Social Networks
Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning
Mixup Virtual Adversarial Training for Robust Vision Transformers
Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach
Fast Multi-View Outlier Detection via Deep Encoder
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching
Distributed Dual Averaging Based Data Clustering
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System
PrivTDSI: A Local Differentially Private Approach for Truth Discovery via Sampling and Inference
Predicting Fine-Grained Air Quality Based on Deep Neural Networks
Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data
PredLife: Predicting Fine-Grained Future Activity Patterns
Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification
Short-Term Rainfall Forecasting Using Multi-Layer Perceptron
Special Issue on Biomedical Big Data: Understanding, Learning and Applications
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection
semi-Traj2Graph Identifying Fine-Grained Driving Style With GPS Trajectory Data via Multi-Task Learning
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Where is the Next Step? Predicting the Scientific Impact of Research Career
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition
Hybrid Ensemble Framework for Imbalanced Data Streams With Concept Drift
Secure $k$k-NN Query on Encrypted Cloud Data with Multiple Keys
Performance-Oriented Deployment of Streaming Applications on Cloud
Comorbidity Patterns and Its Impact on Health Outcomes: Two-Way Clustering Analysis
Towards Efficient Local Causal Structure Learning
Improving Chinese Word Representation Using Four Corners Features
Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem
Streaming Local Community Detection Through Approximate Conductance
Noise-Resistant Statistical Traffic Classification
Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces
The Habits of Highly Effective Researchers: An Empirical Study
Multi-Objective Graph Contrastive Learning for Recommendation
Multi-Relation Extraction via A Global-Local Graph Convolutional Network
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning
GPU-Accelerated High-Throughput Online Stream Data Processing
A Systemic Pipeline of Identifying lncRNA-Disease Associations to the Prognosis and Treatment of Hepatocellular Carcinoma
Effective Personalized Search With Heterogeneous Graph Based Hawkes Process
Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation
Higher-Order Community Detection by Motif-Based Modularity Optimization
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection
Learning-Based Distributed Spatio-Temporal $k$k Nearest Neighbors Join
Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data
Exploiting Efficient Densest Subgraph Discovering Methods for Big Data
DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data
Ranking Neighborhood and Class Prototype Contrastive Learning for Time Series
FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement
Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees
SmartQ: A Question and Answer System for Supplying High-Quality and Trustworthy Answers
Self-Attention Graph Convolution Residual Network for Traffic Data Completion
Big Data for Cybersecurity: Vulnerability Disclosure Trends and Dependencies
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users
Federated Forest
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data
An Overall Evaluation on Benefits of Competitive Influence Diffusion
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study
Fuzzy Based Scalable Clustering Algorithms for Handling Big Data Using Apache Spark
Generalized Time Series Classification via Component Decomposition and Alignment
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series
State-Aware Load Shedding From Input Event Streams in Complex Event Processing
How to Decide Like Human? A Commonsense-Aware Hierarchical Framework for Knowledge Graph Reasoning
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation
ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark
Diffusion-Based Adversarial Purification With Feature Distillation
Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification
Debugging Object Tracking by a Recommender System with Correction Propagation
SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams
System Identification With Fourier Transformation for Long-Term Time Series Forecasting
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data
A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation
DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations
Towards Matching User Mobility Traces in Large-Scale Datasets
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud
Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic
Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network
Online Similarity Learning for Big Data with Overfitting
Deep Geo-Constrained Auto-Encoder for Non-Landmark GPS Estimation
Towards Enhancing Inter-Domain Routing Security With Visualization and Visual Analytics
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling
Big Data Based Security Analytics for Protecting Virtualized Infrastructures in Cloud Computing
A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems
Anomaly Detection in Multi-Level Model Space
Iterative Classifier Fusion System for the Detection of Android Malware
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Big Data Sanitization and Cyber Situational Awareness: A Network Telescope Perspective
Practical Vertical Federated Learning With Unsupervised Representation Learning
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing
Collaborative Filtering With Network Representation Learning for Citation Recommendation
On the Merge of k-NN Graph
Effective and Efficient Conductance-Based Community Search at Billion Scale
Big Data and Emergency Management: Concepts, Methodologies, and Applications
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data
PosParser: A Heuristic Online Log Parsing Method Based on Part-of-Speech Tagging
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation
Dense or Sparse : Elastic SPMM Implementation for Optimal Big-Data Processing
Efficient and Secure Data Sharing Scheme on Interoperable Blockchain Database
Online News-Based Economic Sentiment Index
Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction
A Comprehensive Image Protection Framework Based on High-Capacity Adversarial Data Hiding
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability
Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering
A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction
Understanding Processors Design Decisions for Data Analytics in Homogeneous Data Centers
QuantCloud: Big Data Infrastructure for Quantitative Finance on the Cloud
Dynamic Modeling and Analysis of Bi-Directional Traffic Flows Through a Deep Spatio-Temporal Graph Neural Network
Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants
Domain Adaptive Network Embedding
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems
Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations
A Data-Driven Unified Framework for Predicting Citation Dynamics
BANG: Billion-Scale Approximate Nearest Neighbour Search Using a Single GPU
Combine the Growth of Cascades and Impact of Users for Diffusion Prediction
Efficient and Privacy-Preserving Aggregate Query Over Public Property Graphs
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach
Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints
Efficiently Transfer User Profile Across Networks
Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation
Complex Queries Optimization and Evaluation over Relational and NoSQL Data Stores in Cloud Environments
Large-Scale Data Quality Challenges, Framework and Evaluation in Metro Systems
Long-Term Origin-Destination Demand Prediction With Graph Deep Learning
Enhancing Vulnerability Reports With Automated and Augmented Description Summarization
Taxi-Passenger-Demand Modeling Based on Big Data from a Roving Sensor Network
ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization
A Survey of Data Pricing for Data Marketplaces
A Structured Approach Towards Big Data Identification
Integrating Data and Model Space in Ensemble Learning by Visual Analytics
Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting
Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations
A Distributed Computing Platform for fMRI Big Data Analytics
DBNetVizor: Visual Analysis of Dynamic Basketball Player Networks
Large-Scale Data Pollution with Apache Spark
Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization
Memory Vectors for Similarity Search in High-Dimensional Spaces
A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead
Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure
Understanding the Users and Videos by Mining a Novel Danmu Dataset
Fast Communication-Efficient Spectral Clustering over Distributed Data
A Hierarchical Distributed Processing Framework for Big Image Data
LS-AMS: An Adaptive Indexing Structure for Realtime Search on Microblogs
FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems
Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial
Optimal Pick up Point Selection for Effective Ride Sharing
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature
Searching Density-Increasing Path to Local Density Peaks for Unsupervised Anomaly Detection
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods
RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks
Moving Conditional GAN Close to Data: Synthetic Tabular Data Generation and Its Experimental Evaluation
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT
Learning Visual Semantic Relationships for Efficient Visual Retrieval
AGE: Age-Gender Effect on Faculty Career Progression in American Universities
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species
Toward Efficient and Flexible Metadata Indexing of Big Data Systems
An Empirical Comparison of Algorithms to Find Communities in Directed Graphs and Their Application in Web Data Analytics
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning
SecFact: Secure Large-scale QR and LU Factorizations
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation
Multi-Party Federated Recommendation Based on Semi-Supervised Learning
QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee
Special Issue on Big Data From Space
Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena
Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation
Decentralized Federated Learning: A Survey on Security and Privacy
Anomaly Detection in Catalog Streams
Adaptable SLA-Aware Consistency Tuning for Quorum-Replicated Datastores
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise
Service Rating Prediction by Exploring Social Mobile Users' Geographical Locations
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices
Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers
FIFA: A Forest-Based Sliding Window Aggregation Scheme for Out-of-Order Data Streams
Network Embedding via Deep Prediction Model
Incremental Deep Computation Model for Wireless Big Data Feature Learning