yusuke1997/dblp-id-title huggingface dataset:
Adaptive pedestrian behaviour for the preservation of group cohesion
Agent-based modeling and simulation of emergent behavior in air transportation
Review of cellular biophysics and modeling: a primer on the computational biology of excitable cells
Formation of reciprocal appreciation patterns in small groups: an agent-based model
A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation
Multi-agents features on Android platforms
A formal specification framework for smart grid components
The Lattice Boltzmann method and computational analysis of bone dynamics-I
Review of "Exploratory Social Network Analysis with Pajek" by Wouter De Nooy, Andrej Mrvar and Vladimir Batageli
Formal approach to model complex adaptive computing systems
A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system
Personal vs. know-how contacts: which matter more in wiki elections?
Segregation mechanisms of tissue cells: from experimental data to models
Transparent computational intelligence models for pharmaceutical tableting process
On the role of evangelism in consensus formation: a simulation approach
Review of "The Model Thinker" by Scott Page
Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference
Multi-Agent Foraging: state-of-the-art and research challenges
A Cognitive Agent-based Model for Multi-Robot Coverage ata City Scale
Review of design optimization of fluid machinery: applying computational fluid dynamics and numerical optimization
A survey on MAC protocols for complex self-organizing cognitive radio networks
Complex building's energy system operation patterns analysis using bag of words representation with hierarchical clustering
Trusted service manager (TSM) based privacy preserving and secure mobile commerce framework with formal verification
Embodied modeling approach to explore tumour cells drug resistance
Dynamic agent composition for large-scale agent-based models
An agent-based simulation of cooperation in the use of irrigation systems
Clustering datasets by complex networks analysis
Impact of ICT-mediated collective awareness on urban mobility
Self organization based energy management techniques in mobile complex networks: a review
Self-enforcing agreement in cooperative teams: an agent-based modeling approach
A game-theory modeling approach to utility and strength of interactions dynamics in biomedical research social networks
Introduction to the modeling and analysis of complex systems: a review
The generalized traveling salesman problem solved with ant algorithms
A scheme to analyze agent-based social simulations using exploratory data mining techniques
On the real time modeling of interlocking system of passenger lines of Rawalpindi Cantt train station
Large-scale global optimization through consensus of opinions over complex networks
A tale of lock-free agents: towards Software Transactional Memory in parallel Agent-Based Simulation
A moderate role for cognitive models in agent-based modeling of cultural change
Code Consistent Hashing Based on Information-Theoretic Criterion
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis
Application of Mathematical Optimization in Data Visualization and Visual Analytics: A Survey
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems
A Data-Centric $\ell$ℓ-Diversity Model for Securely Publishing Personal Data With Enhanced Utility
Towards an Energy Complexity Model for Distributed Data Processing Algorithms
Training Large-Scale Graph Neural Networks via Graph Partial Pooling
Use of Transfer Learning for Affordable In-Context Fake Review Generation
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision
3A Multi-Classification Division-Aggregation Framework for Fake News Detection
Distributed Feature Selection for Efficient Economic Big Data Analysis
Discrete Double-Bit Hashing
A Novel Hilbert Curve for Cache-Locality Preserving Loops
Assembling and Using a Cellular Dataset for Mobile Network Analysis and Planning
Multi-View Clustering With Self-Representation and Structural Constraint
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding
GPU-Accelerated Large-Scale Distributed Sorting Coping with Device Memory Capacity
Multiscale Feature-Guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features
Distributed Sparse Class-Imbalance Learning and Its Applications
Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph
Patch Based Unsupervised Deep Learning for Retrieval and Part Matching in Large Image Datasets
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data
Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs
Altrumetrics: Inferring Altruism Propensity Based on Mobile Phone Use Patterns
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership
A Unified Hypergraph Framework for Inter and Intra-Session Dynamics in Session-Based Social Recommendations
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data
Towards Privacy-Preserving Personalized Federated Relation Classification
Handling Big Data Using a Data-Aware HDFS and Evolutionary Clustering Technique
Spamdoop: A Privacy-Preserving Big Data Platform for Collaborative Spam Detection
A Cross-Domain Recommendation Model Integrating Users' Long-Term and Short-Term Interests
A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models
Cost-Efficient Scheduling of Streaming Applications in Apache Flink on Cloud
Mining the Most Influential k-Location Set from Massive Trajectories
TgStore: An Efficient Storage System for Large Time-Evolving Graphs
Utility-Driven Data Analytics Algorithm for Transaction Modifications Using Pre-Large Concept With Single Database Scan
Efficient Recommendation of De-Identification Policies Using MapReduce
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
QuantCloud: Enabling Big Data Complex Event Processing for Quantitative Finance Through a Data-Driven Execution
Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling
Agile Big Data Analytics for Web-Based Systems: An Architecture-Centric Approach
Higher-Order Smoothness Enhanced Graph Collaborative Filtering
Multi-Granularity Feature Interaction and Multi-Region Selection Based Triplet Visual Question Answering
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning
A Reinforcement Learning Framework for N-Ary Document-Level Relation Extraction
How to Protect Ourselves From Overlapping Community Detection in Social Networks
Local High-Order Graph Learning for Multi-View Clustering
Minerva: Decentralized Collaborative Query Processing Over InterPlanetary File System
Identification of Communities With Multi-Semantics via Bayesian Generative Model
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network
Parallel Secure Outsourcing of Large-Scale Nonlinearly Constrained Nonlinear Programming Problems
A Black-Box Adversarial Attack Method via Nesterov Accelerated Gradient and Rewiring Towards Attacking Graph Neural Networks
Game Theory Based Correlated Privacy Preserving Analysis in Big Data
Efficient Big-Data Access: Taxonomy and a Comprehensive Survey
Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing
An Extended Spatio-Temporal Granger Causality Model for Air Quality Estimation with Heterogeneous Urban Big Data
Personalized Interventions to Increase the Employment Success of People With Disability
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction
Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics
Reward Shaping Based on Optimal-Policy-Free
Detection of Rumors and Their Sources in Social Networks: A Comprehensive Survey
Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation
Data-Driven Web APIs Recommendation for Building Web Applications
Federated Average Clustering Learning Based on Time-Asynchronous Similarity
Parallel Multi-Scale Deep Supervision Net for Hand Key Point Detection
MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph
FinLLMs: A Framework for Financial Reasoning Dataset Generation With Large Language Models
Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization
NGD: Filtering Graphs for Visual Analysis
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery
Efficient Learned Spatial Index With Interpolation Function Based Learned Model
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak
Non-Stationary Model for Crime Rate Inference Using Modern Urban Data
Guest Editorial: Big Scholar Data Discovery and Collaboration
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles
Scalable Distributed Data Anonymization for Large Datasets
Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations
Efficient Path Query Processing Over Massive Trajectories on the Cloud
Where Shall We Go: Point-of-Interest Group Recommendation With User Preference Embedding
Network Representation Learning: A Survey
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism
Mining Deep Semantic Representations for Scene Classification of High-Resolution Remote Sensing Imagery
CloudFinder: A System for Processing Big Data Workloads on Volunteered Federated Clouds
Enhanced Locality-Sensitive Hashing for Fingerprint Forensics Over Large Multi-Sensor Databases
Dual Graph Convolutional Networks for Social Network Alignment
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
PatchAD: A Lightweight Patch-Based MLP-Mixer for Time Series Anomaly Detection
Sleepy: Wireless Channel Data Driven Sleep Monitoring via Commodity WiFi Devices
Revocable DSSE in Healthcare Systems With Range Query Support
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
Don't Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories
Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder
Multi-View Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
Maximal Quasi-Cliques Mining in Uncertain Graphs
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets
Data-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data
Resting-State fMRI Functional Connectivity: Big Data Preprocessing Pipelines and Topological Data Analysis
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation
Data-Centric Graph Learning: A Survey
Guest Editorial: AI for COVID-19
Special Issue on Big Data Applications in Cyber Security and Threat Intelligence - Part 1
Improved Gradient Inversion Attacks and Defenses in Federated Learning
HyFit: Hybrid Fine-Tuning With Diverse Sampling for Abstractive Summarization
Efficient Provenance Management via Clustering and Hybrid Storage in Big Data Environments
Methodologies for Cross-Domain Data Fusion: An Overview
Managing Big Interval Data with CINTIA: The Checkpoint INTerval Array
Identifying Covert Channels in Blockchain: A Case Study on Bitcoin, Zcash, Monero and Ethereum
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems
Document-Image Perceptual Hashing for Content Authentication
Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels
Using Construction Waste Hauling Trucks' GPS Data to Classify Earthwork-Related Locations: A Chengdu Case Study
Performance Modeling and Predictive Scheduling for Distributed Stream Data Processing
Efficient Asynchronous Multi-Participant Vertical Federated Learning
The Memory Challenge in Reduce Phase of MapReduce Applications
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines
FRACTAL: Data-Aware Clustering and Communication Optimization for Decentralized Federated Learning
Control of Large-Scale Cyber-Physical Systems with Agents Having Various Dynamics
A Query-Aware Method for Approximate Range Search in Hamming Space
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems
Efficient and Privacy Preserving Approximation of Distributed Statistical Queries
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning
GGNN: Graph-Based GPU Nearest Neighbor Search
Accelerating MapReduce on Commodity Clusters: An SSD-Empowered Approach
A New Methodology for Storing Consistent Fuzzy Geospatial Data in Big Data Environment
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19
Sparse Computation for Large-Scale Data Mining
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network
Multi-Label Graph Convolutional Network Representation Learning
Product Supply Optimization for Crowdfunding Campaigns
Fusing Location Data for Depression Prediction
Extracting Medical Knowledge from Crowdsourced Question Answering Website
A Big Data Enabled Channel Model for 5G Wireless Communication Systems
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding
Deep Learning Based Anomaly Detection Approach for Air Pollution Assessment
Scalable Unsupervised Hashing via Exploiting Robust Cross-Modal Consistency
Regularized Spectral Clustering With Entropy Perturbation
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation
Vertical Federated Representation Synthesis for Non-Aligned Samples in the Active Party
Velocity-Aware Parallel Encryption Algorithm with Low Energy Consumption for Streams
Cepe-FL: Communication-Efficient and Privacy-Enhanced Federated Learning Via Adaptive Compressive Sensing
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning
Introduction to the IEEE Transactions on Big Data
Seq2CASE: Weakly Supervised Sequence to Commentary Aspect Score Estimation for Recommendation
A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection
Neurocognitive Insights: Cognitive Comprehension Attention in Multi-Organ Segmentation
Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning
A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas
Debiased Cross Contrastive Quantization for Unsupervised Image Retrieval
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network
Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data
AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain
Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data
Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams
Least Squares Approximation via Sparse Subsampled Randomized Hadamard Transform
Efficient Secure Outsourcing of Large-Scale Convex Separable Programming for Big Data
Imperceptible Physical Attack Against Face Recognition Systems via LED Illumination Modulation
To Your Surprise: Identifying Serendipitous Collaborators
Secret Specification Based Personalized Privacy-Preserving Analysis in Big Data
Big Scholarly Data: A Survey
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach
LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus
An Algorithm of Inductively Identifying Clusters From Attributed Graphs
Scalable User-Substation Assignment with Big Data from Power Grids
Localization of Inpainting Forgery With Feature Enhancement Network
Reliable Federated Disentangling Network for Non-IID Domain Feature
Modeling Temporal Information of Mitotic for Mitotic Event Detection
Towards Fraud Detection via Fine-Grained Classification of User Behavior
Effective Urban Structure Inference from Traffic Flow Dynamics
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces
On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data
Big Data-Driven Advancements and Future Directions in Vehicle Perception Technologies: From Autonomous Driving to Modular Buses
Personalized Federated Learning With Adaptive Batchnorm for Healthcare
$ \tt {zkFL}$zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task
Practical Attribute Reconstruction Attack Against Federated Learning
Heterogeneous Data Storage Management with Deduplication in Cloud Computing
Graph-Based Contract Sensing Framework for Smart Contract Vulnerability Detection
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements
Privacy and Efficiency of Communications in Federated Split Learning
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning
Deep Cross-Modal Hashing With Ranking Learning for Noisy Labels
Closed Walk Sampler: An Efficient Method for Estimating Eigenvalues of Large Graphs
Accelerating ML/DL Applications With Hierarchical Caching on Deduplication Storage Clusters
Differential Privacy Preserving of Training Model in Wireless Big Data with Edge Computing
From Latency, Through Outbreak, to Decline: Detecting Different States of Emergency Events Using Web Resources
Deep Global Distance Estimation Hashing for Image Retrieval
Adaptive Client Clustering for Efficient Federated Learning Over Non-IID and Imbalanced Data
Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions
Comprehensive Privacy Analysis on Recommendation With Causal Embedding Against Model Inversion Attacks
An Open Dataset of Cyber Asset Graphs for Cybercrime Research
Comment on "Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations"
Research on Escaping the Big-Data Traps in O2O Service Recommendation Strategy
Generative-Contrastive Heterogeneous Graph Neural Network
Efficient Interactive Global Cellular Signal Strength Visualization
Blockchain-Enabled Secure Collaborative Model Learning Using Differential Privacy for IoT-Based Big Data Analytics
Scalable Learning-Based Community-Preserving Graph Generation
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification
A Memory Network Information Retrieval Model for Identification of News Misinformation
Effective and Efficient Content Redundancy Detection of Web Videos
Guest Editorial: Big Data Analytics and the Web
Robust Discrete Spectral Hashing for Large-Scale Image Semantic Indexing
JouleMR: Towards Cost-Effective and Green-Aware Data Processing Frameworks
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model
A Shared-Memory Algorithm for Updating Tree-Based Properties of Large Dynamic Networks
Multi-Evidence Based Fact Verification via A Confidential Graph Neural Network
Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint
A Novel Methodology to Acquire Live Big Data Evidence from the Cloud
A Generative Model for Sparse Hyperparameter Determination
Legal Transition Sequence Recognition of a Bounded Petri Net Using a Gate Recurrent Unit
Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization
SDN-Based Big Data Caching in ISP Networks
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
DTWformer: A DTW-Based Transformer for Multivariate Time Series Forecasting
Tucker-Based High-Accuracy Multi-Modal Clustering for Social Information Network
Deep Convolutional Neural Network Based Medical Concept Normalization
ImAdv: Transferable Implicit Adversarial Attack for 3D Object Detectors in Autonomous Driving
On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services
Uncovering Local Hierarchical Overlapping Communities at Scale
DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations
Optimizing Share Size in Efficient and Robust Secret Sharing Scheme for Big Data
FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding