yusuke1997/dblp-id-title huggingface dataset:
Rapidly Generate and Visualize the Digest of Massive Time Series Data
A Non-Bottleneck Residual Approach for QR Code
A reversible data hiding scheme based on multiple residual histogram shifting
Clustering of Similar Industrial Alarm Floods
SparkACO: A Spark-Based Ant Colony Optimization for Path Planning of Large-Scale Complex Road Networks
Framework Using Bayesian Belief Networks for Utility Effective Management and Operations
Efficient Cloud-Based Framework for Big Data Classification
A Low Rank Gaussian Process Prediction Model for Very Large Datasets
Benchmarking of Distributed Computing Engines Spark and GraphLab for Big Data Analytics
Privacy and Anonymity For Multilayer Networks: A Reflection
Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark
Distributed Data Collection, Correlation and Data Reduction for Iterative Streaming Analytics in Wireless Mobile Networks
Third IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017, Redwood City, CA, USA, April 6-9, 2017
Detection of Fake Generated Scientific Abstracts
A Model with Priority Queue with Heterogeneous Customers concerning Service Time
Dynamic Human Behavior Pattern Detection and Classification
iDispenser - Big Data Enabled Intelligent Dispenser
Mimic Defense Techniques of Edge-Computing Terminal
An Evacuation Management Framework Based on Urban Data and Personalized Mobility Information
Wind Farm Operation and Maintenance Optimization Using Big Data
Viral Marketing for Smart Cities: Influencers in Social Network Communities
When Rule Engine Meets Big Data: Design and Implementation of a Distributed Rule Engine Using Spark
Temporal Uncertainty of Wind Ramp Predictions Using Probabilistic Forecasting Technique
Understanding Airline Passenger Behavior through PNR, SOW and Webtrends Data Analysis
Vehicular Traffic Flow Prediction via Decentralized Federated Meta-Learning
Engineering Scalable Distributed Services for Real-Time Big Data Analytics
Applying Artificial Immune System for Intrusion Detection
A Secure Video Deduplication Scheme in Cloud Storage Environments Using H.264 Compression
Data Stream Classification for Structural Health Monitoring via On-Line Support Vector Machines
Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation
Pathfinder: Fault Tolerance for Stream Processing Systems
Towards Classifying Epileptic Seizures Using Entropy Variants
Explainability and Adversarial Robustness for RNNs
Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure
A big data approach for Fuel Oil Consumption estimation in the maritime industry
Improvement of Data Throughput in Data-Intensive Cloud Computing Applications
Data Allocation of Large-Scale Key-Value Store System Using Kinetic Drives
An Efficient Electricity Generation Forecasting System Using Artificial Neural Network Approach with Big Data
Finding BERT Errors Using Activation Vectors
UAV-Based Powerline Problem Inspection and Classification using Machine Learning Approaches
between flow and bytes
Abnormal Pre-Detection Algorithm Based on Time Series
CaPaR: A Career Path Recommendation Framework
Event Fusion and Decision Approach Based on Node Reliability in Dam Safety Monitoring
An Examination of Neural Networks on Cluster Computers
First IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2015, Redwood City, CA, USA, March 30 - April 2, 2015
Hadoop as Big Data Operating System - The Emerging Approach for Managing Challenges of Enterprise Big Data Platform
Back to the Bazaar: Destructuring the Data Mall
The Secure Vehicle-to-Vehicle and Vehicle-to-Group Communication Mechanisms in Smart City
Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory
Hybrid Deep Learning for Efficient Detection of Recalled Products
Carotene: A Job Title Classification System for the Online Recruitment Domain
An Advanced Inventory Data Mining System for Business Intelligence
Impact of Core Charging Station's Cease Operation in the Entire Charging Station System: A Case Study in Shenzhen
A Deep Learning Approach for Short Term Prediction of Industrial Plant Working Status
Data-driven delivery model for distributing daily necessities to residents in a specific emergency area
TopicListener: Observing Key Topics from Multi-channel Speech Audio Streams
A Novel Split-Merge-Evolve k Clustering Algorithm
Analyzing Opinion Spammers' Network Behavior in Online Review Systems
Study on Tourists' Perception of the Grand Canal Cultural Heritage Based on Network Travels
Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark
An Evolutionary Algorithm for Column Family Schema Optimization in HBase
Mammography Image BI-RADS Classification Using OHPLall
Keywords-Based Dam Defect Image Caption Generation
A Distributed Multi-exemplar Affinity Propagation Clustering Algorithm Based on MapReduce
Understanding the Effects on Balance for Elite Platform Divers Using Machine Learning
From Perception to Action: Leveraging LLMs and Scene Graphs for Intuitive Robotic Task Execution
Fortune, Albeit Digital, at the Bottom of the Pyramid - Big Data Powered Business Model for Internet Service Providers
Approach to Enhance Tissue Blood Flow Measurement by Combining Ultrasound Modulation with Diffuse Correlation Spectroscopy
A Framework for Analyzing Big Social Data and Modelling Emotions in Social Media
Maps of Infrared Images to Detect Equipment Faults
Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods
Towards a 'Big' Health Data Analytics Platform
Data Structure for Packet De-Duplication in Distributed Environments
A Novel Method of Overrun Risk Measurement and Assessment Using Large Scale QAR Data
A High-Precise Arrhythmia Detection Method Based on Biorthogonal Wavelet and Fully Connected Neural Network
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques
Exploring Machine Learning Techniques for Smart Drainage System
Big Data Analytics on Aviation Social Media: The Case of China Southern Airlines on Sina Weibo
A Practical Approach to Validation of Buildings' Sensor Data: A Commissioning Experience Report
Table2Graph: A Scalable Graph Construction from Relational Tables Using Map-Reduce
Very Low-Resolution Face Recognition Based On Multilinear Side-Information Based Discriminant Analysis
Air Quality Simulations Using Big Data Programming Models
Stock Market Prediction Based on Time Series Data and Multimodal Sentiments
Will Your Classmates and Colleagues Affect Your Development in the Workplace: Predicting Employees' Growth Based on Interpersonal Environment
HTARF: A Hybrid Tourist Attraction Recommendation Framework for Trip Scheduling
TransKV: A Networking Support for Transaction Processing in Distributed Key-value Stores
From Photos to Travel Itinerary: A Tourism Recommender System for Smart Tourism Destination
A Deep Learning Approach for Street Pothole Detection
Knee/Elbow Estimation Based on First Derivative Threshold
Balanced Parallel Frequent Pattern Mining over Massive Data Stream
An Optimized Generic Client Service API for Managing Large Datasets within a Data Repository
Unsupervised Learning for Network Flow Based Anomaly Detection in the Era of Deep Learning
Proceedings of the 2010 TeraGrid Conference, TG '10, Pittsburgh, Pennsylvania, USA, August 2-5, 2010
Development of the Uintah Gateway for fluid-structure-interaction problems
Securing science gateways
The shape of the TeraGrid: analysis of TeraGrid users and projects as an affiliation network
Performance metrics and auditing framework for high performance computer systems
Teaching high performance computing to undergraduate faculty and undergraduate students
A scalable multi-scale framework for parallel simulation and visualization of microbial evolution
Kerberized Lustre 2.0 over the WAN
A European framework to build science gateways: architecture and use cases
Automatically mining program build information via signature matching
Uintah: a scalable framework for hazard analysis
An efficient parallelized discrete particle model for dense gas-solid flows on unstructured mesh
Visualization of multiscale simulation data: brain blood flow
Identifying software usage at HPC centers with the automatic library tracking database
neoGRID: enabling access to teragrid resources application for sialylmotif analysis in the protozoan Toxoplasma gondii
Modelling data-driven CO 2 sequestration using distributed HPC cyberinfrastructure
Ultrascalable Fourier transfroms in three dimensions
A compelling case for a centralized filesystem on the TeraGrid: enhancing an astrophysical workflow with the data capacitor WAN as a test case
A training roadmap for new HPC users
A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs
Design and implementation of a production dynamically configurable testbed
Developing an integrated end-to-end TeraGrid climate modeling environment
Towards generic FutureGrid image management
Building gateways for life-science applications using the dynamic application runtime environment (DARE) framework
Runtime analysis tools for parallel scientific applications
Globus XIO pipe open driver: enabling GridFTP to leverage standard Unix tools
Developing effective online training for TeraGrid users
On the density distribution in star-forming interstellar clouds
Using hybrid parallelism to improve memory use in the Uintah framework
Interactive large data exploration over the wide area
Utilizing a social networking site as a web portal to process CReSIS radar data
Conjugating science gateways and grid portals into e-collaboration environments: the Liferay and GENIUS/EnginFrame use case
The CIPRES science gateway: a community resource for phylogenetic analyses
Petascale I/O using HDF-5
Enabling Lustre WAN for production use on the TeraGrid: a lightweight UID mapping scheme
A solution looking for lots of problems: generic portals for science infrastructure
Accelerating science gateway development with Web 2.0 and Swift
Towards high-throughput, high-performance computational estimation of binding affinities for patient specific HIV-1 protease sequences
Virtual laboratory for planetary materials ( VLab ): an updated overview of system service architecture
Using the TeraGrid to teach scientific computing
Bringing high performance climate modeling into the classroom
Managing appliance launches in infrastructure clouds
Performance optimization of large non-negatively constrained least squares problems with an application in biophysics
Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, TG '11, Salt Lake City, Utah, USA, July 18-21, 2011
Coming to consensus on competencies for petascale computing education and training
Beowulf bootcamp: teaching local high schools about HPC
Autotuned parallel I/O for highly scalable biosequence analysis
Trestles: a high-productivity HPC system targeted to modest-scale and gateway users
A CyberGIS gateway approach to interoperable access to the National Science Foundation TeraGrid and the Open Science Grid
Subset removal on massive data with Dash
Reducing the barrier to entry using portable apps
Nascent HPC activities at an HBCU
DataONE member node pilot integration with TeraGrid?
Optimizing a parallel runtime system for multicore clusters: a case study
Educational virtual clusters for on-demand MPI/Hadoop/Condor in FutureGrid
TeraGrid Science Gateway AAAA Model: implementation and lessons learned
Simplifying complex software assembly: the component retrieval language and implementation
Early experiences with the intel many integrated cores accelerated computing technology
A roadmap for using NSF cyberinfrastructure with InCommon
Developing an infrastructure to support multiscale modelling and simulation
Molecular parameter optimization gateway (ParamChem): workflow management through TeraGrid ASTA
A multi-cultural success story for achieving diversity in multi-core/many-core internships
Methods of creating student cluster competition teams
UltraScan gateway enhancements: in collaboration with TeraGrid advanced user support
The development of Mellanox/NVIDIA GPUDirect over InfiniBand: a new model for GPU to GPU communications
An information architecture based on publish/subscribe messaging
TeraGrid resource selection tools: a road test
Open grid computing environments: advanced gateway support activities
DASH-IO: an empirical study of flash-based IO for HPC
An OAuth service for issuing certificates to science gateways for TeraGrid users
Benefits of NoSQL databases for portals & science gateways
Data-intensive CyberShake computations on an opportunistic cyberinfrastructure
End-to-end framework for fault management for open source clusters: Ranger
Accelerating data-intensive science with Gordon and Dash
RNA structure refinement and force field evaluation using molecular dynamics simulations
Modern, scalable, reliable modeling of turbulent combustion
Automated grid probe system to improve end-to-end grid reliability for a science gateway
Petascale kinetic simulation of the magnetosphere
Facilitating data-intensive science with RAM disk and Hadoop on large shared-memory systems
Transitioning BioVLab cloud workbench to a science gateway
Enabling online geospatial isotopic model development and analysis
Audited credential delegation: a usable identity management solution for grid environments
Learning Concepts from Text Based on the Inner-Constructive Model
Dealing with Trust, Distrust and Ignorance
Carbon Market Price Prediction Method Based on Multi-feature Fusion and Deep Learning
HGC: A Hybrid Method Combining Gravity Model and Cycle Structure for Identifying Influential Spreaders in Complex Networks
Combinative Reasoning with RCC5 and Cardinal Direction Relations
Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation
EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
A Novel Maximum Distribution Reduction Algorithm for Inconsistent Decision Tables
FastLogSim: A Quick Log Pattern Parser Scheme Based on Text Similarity
Optimization of Multiple Related Negotiation through Multi-Negotiation Network
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI
Modeling and Evaluation of Technology Creation Process in Academia
An Efficient One-Shot Network and Robust Data Associations in Multi-pedestrian Tracking
Feature Selection Based on Mutual Information and Its Application in Hyperspectral Image Classification
An OWL-Based Approach for RBAC with Negative Authorization
An Ontological Approach for Specifying Provenance into SPARQL Service Descriptions
A Dual-Module System Design and Application for Digital Payment Fraud Detection
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part II
Affine Transformation-Based Knowledge Graph Embedding
Knowledge Science, Engineering and Management, 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010. Proceedings
Multi-hop Syntactic Graph Convolutional Networks for Aspect-Based Sentiment Classification
Composing Cardinal Direction Relations Basing on Interval Algebra
An Agent-Based Cybersecurity Framework Enhanced by Large Language Models: Integrating Retrieval-Augmented Generation and Monte Carlo Tree Search
Optimization of Remote Desktop with CNN-based Image Compression Model
Empowering Graduate Students' Service Delivery by Using an Agile Chatbot: A Conceptual Framework
Online-Learning Based Task Scheduling in Industrial Internet-of-Things: Tackling Resource Skew with Dynamic Optimization
Transfer Learning Based on A+ for Image Super-Resolution
A Survey of Pretrained Language Models
Evidential Deep Neural Networks for Uncertain Data Classification
SEGAR: Knowledge Graph Augmented Session-Based Recommendation
A Parthenogenetic Algorithm for Deploying the Roadside Units in Vehicle Networks
Lane Keeping Algorithm for Autonomous Driving via Safe Reinforcement Learning
Learning the Influence Probabilities Based on Multipolar Factors in Social Network
Dynamic Task-Specific Factors for Meta-Embedding
Graph Embedding Based on Characteristic of Rooted Subgraph Structure
A Hidden Astroturfing Detection Approach Base on Emotion Analysis
Efficient Reasoning with RCC-3D
An Efficient Three-Dimensional Reconstruction Approach for Pose-Invariant Face Recognition Based on a Single View
CP Tensor Factorization for Knowledge Graph Completion
Prognosis of Thyroid Disease Using MS-Apriori Improved Decision Tree
Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure
Ensemble of SVM Classifiers with Different Representations for Societal Risk Classification
GAN-Enabled Code Embedding for Reentrant Vulnerabilities Detection
An Effective RSP Data Sampling Algorithm
Code Refactoring with ChatGPT: Analysis Based on Real and Synthetic Extract Method Opportunities
Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks
Modal Interaction-Enhanced Prompt Learning by Transformer Decoder for Vision-Language Models
LAM: Lightweight Attention Module
Multi-hop Learning Promote Cooperation in Multi-agent Systems
Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization
Analyzing Customer's Product Preference Using Wireless Signals
A Multi-objective Optimization Algorithm Based on Preference Three-Way Decomposition
Research on the Mechanism of Privacy-Enhanced Cross-Institutional Data Sharing
Representation Learning with Entity Topics for Knowledge Graphs
Learning Resource Recommendation in E-Learning Systems Based on Online Learning Style
Scientific Item Recommendation Using a Citation Network
Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction
Facial Texture Analysis for Recognition of Human Gender
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part III
Building Chinese Legal Hybrid Knowledge Network
Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations
Robust Detection of Communities with Multi-semantics in Large Attributed Networks
Quota-Based Merging Operators for Stratified Knowledge Bases
Hierarchical Data Protection Based on Homomorphic Encryption Algorithm
Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments
DarkFusionNet: A Fusion Neural Network Based Architecture for Darknet Text Classification
Sparse-View CT Reconstruction via Implicit Neural Intensity Functions
SSA: A Content-Based Sparse Attention Mechanism
A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links
Cross-Chain-Based Decentralized Identity for Mortgage Loans
Tractable Computation of Representative ABox Repairs in Description Logic Ontologies
Diffusion Review-Based Recommendation
Unsupervised Person Re-ID via Loose-Tight Alternate Clustering
Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding
Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations
PUF-Based Intellectual Property Protection for CNN Model
Accuracy-Preserving and Scalable Column-Based Low-Rank Matrix Approximation
Reinforced Subject-Aware Graph Neural Network for Related Work Generation
SWV: A Large-Scale Sensitive Word Variants Dataset for Semantic Text Matching
Enhancing Multi-source Localization via Tailored Feature Representation Framework
Traj-MergeGAN: A Trajectory Privacy Preservation Model Based on Generative Adversarial Network
Case-Based Decision Support System with Contextual Bandits Learning for Similarity Retrieval Model Selection
Gödel, Escher, Bach and Super-expertise
An Efficient Approach for Computing Conflict Sets Combining Failure Probability with SAT
Open Relation Extraction via Query-Based Span Prediction
Incorporating Duration Information in Activity Recognition
Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part III
Enhanced Simple Question Answering with Contrastive Learning
Rule Management in Clinical Decision Support Expert System for the Alzheimer Disease
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese
A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences
MindDigger: Feature Identification and Opinion Association for Chinese Movie Reviews
Temporal Knowledge Graph Reasoning Based on Historical Statistical Reward Mechanism
A Fuzzy Inspired Approach to Seismic Anomaly Detection
Multi-view Unit Intact Space Learning
RFLSem: A Lightweight Model for Textual Sentiment Analysis
Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space
Diffusion Model-Based Multi-scale Feature and Timing Consistency Enhancement for ECG Signal Generation
Bio-Inspired Feature Selection via an Improved Binary Golden Jackal Optimization Algorithm
Prompt as a Knowledge Probe for Chinese Spelling Check
Rational Partial Choice Functions and Their Application to Belief Revision
Invisible Backdoor Attacks on Key Regions Based on Target Neurons in Self-Supervised Learning
SCX-SD: Semi-supervised Method for Contextual Sarcasm Detection
Text-Based Fusion Neural Network for Rumor Detection
W-Hash: A Novel Word Hash Clustering Algorithm for Large-Scale Chinese Short Text Analysis
Finding Minimal Rare Itemsets and Rare Association Rules
Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope
Efficient Data Asset Right Provenance for Data Asset Trading Based on Blockchain
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction
ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques
Using Word Clusters to Detect Similar Web Documents
A Fuzzy Logic Based Policy Negotiation Model
Rare Category Detection Forest
WaveSegNet: Wavelet Transform and Multi-scale Focusing Network for Scrap Steel Segmentation
Building the Knowledge Base to Support the Automatic Animation Generation of Chinese Traditional Architecture
Cross-Sentence Temporal Relation Extraction with Relative Sentence Time
Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning
Mario Fast Learner: Fast and Efficient Solutions for Super Mario Bros
POAgent: A Multi-agent Controller Towards Adaptive Parameter Optimization
The Minimal Negated Model Semantics of Assumable Logic Programs
From Attribute Relationship Diagrams to Process (BPMN) and Decision (DMN) Models
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part III
Anticipation as a Strategy: A Design Paradigm for Robotics
Automatic Meter Pointer Reading Based on Knowledge Distillation
On-Line Monitoring and Diagnosis of Failures Using Control Charts and Fault Tree Analysis (FTA) Based on Digital Production Model
NADSR: A Network Anomaly Detection Scheme Based on Representation
An Efficient Hierarchical Graph Clustering Algorithm Based on Shared Neighbors and Links
Tree-Based Approach for Time-Independent Diffusion Network Inference
Knowledge Extraction from Chinese Records of Cyber Attacks Based on a Semantic Grammar
Multi-task Learning Based Skin Segmentation
Embedding-Based Network Alignment Using Neural Tensor Networks
Enhancing Network Flow for Multi-target Tracking with Detection Group Analysis
HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere
Gated Self-attentive Encoder for Neural Machine Translation
An Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection
A Comparison of Merging Operators in Possibilistic Logic
An Empirical Study on Recent Graph Database Systems
IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization