yusuke1997/dblp-id-title huggingface dataset:
Using Graph Edit Distance for Noisy Subgraph Matching of Semantic Property Graphs
DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
Index-based join operations in Hive
A detection mechanism with text mining cross correlation approach
Models and Features with Covariate Shift Adaptation for Suspicious Network Event Recognition
Self-supervised Multi-stage Estimation of Remaining Useful Life for Electric Drive Units
Expressway: Prioritizing Edges for Distributed Evaluation of Graph Queries
A Crowd Source System for YouTube Big Data Analytics: Unpacking Values from Data Sprawl
Conducting an Experiment at Multiple Sites with Small Subject Pools: How is Raven Score Effective as a Covariate?
Multi-Channel Entity Alignment via Name Uniqueness Estimation
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
Exploiting Graph Convolutional Networks for Representation Learning of Mobile App Usage
Application of big data analytics to support power networks and their transition towards smart grids
Kernels for scalable data analysis in science: Towards an architecture-portable future
AISTAR: An Intelligent System for Online IT Ticket Automation Recommendation
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections
Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams
Pre-Trained Language Models with Topic Attention for Supervised Document Structure Learning
Leveraging cloud data to mitigate user experience from 'breaking bad'
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification
Cognitive computing: From breakthroughs in the lab to applications on the field
Persistence Homology of Proximity Hyper-Graphs for Higher Dimensional Big Data
Exploring Multi-Time Context Vector and Randomness for Stock Movement Prediction
Towards Fighting Cybercrime: Malicious URL Attack Type Detection using Multiclass Classification
Visualization of streaming data: Observing change and context in information visualization techniques
Learning from Disagreement for Event Detection
Individualized Reservation fare optimization for Designated Driver Service
Location YardStick: Calculation of the Location Data Value Depending on the Users' Context
IoT based Urban Noise Monitoring in Deep Learning using Historical Reports
An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing
Leveraging Spatio-Temporal Soccer Data to Define a Graphical Query Language for Game Recordings
Predicting Consequences of Cyber-Attacks
Robust Fraud Detection via Supervised Contrastive Learning
Continuous Prompt for Chemical Language Model Aided Anticancer Synergistic Drug Combination Prediction
Integrating existing large scale medical laboratory data into the semantic web framework
A distributed framework for supporting adaptive ensemble-based intrusion detection
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems
Combining GCN Attention and Frequency Domain Analysis for 3D Human Pose Estimation
A Machine Learning Based Natural Language Question and Answering System for Healthcare Data Search using Complex Queries
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data
Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction
Quality Ranking for Synthetically Generated Images
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Comparison of Machine Learning Classifiers on Integrated Transcriptomic Data
Mapping mutable genres in structurally complex volumes
Steering Top-k Influencers in Dynamic Graphs via Local Updates
Predicting social trends from non-photographic images on Twitter
Zero-shot Demand Forecasting for Products with Limited Sales Periods
Paediatric Pneumonia chest X-ray image classification with association to Lung cancer disease using ResNet50 Deep Learning Model
Empirical Study of Deep Learning for Text Classification in Legal Document Review
Exploratory Data Analysis to Understand Social Determinants Important to Global Neonatal Mortality Rate
A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects
Detection of methane plumes using Sentinel-2 satellite images and deep neural networks trained on synthetically created label data
OncoPrint++: An Enhanced OncoPrint Beyond Data Visualization for Clinical Bioinformatics and Genomics
Twitter Health Surveillance (THS) System
Multi-step threshold algorithm for efficient feature-based query processing in large-scale multimedia databases
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Relational Graph Embeddings for Table Retrieval
Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction
Department of energy strategic roadmap for Earth system science data integration
Improving the quality of semantic relationships extracted from massive user behavioral data
Learning Temporal Relevance in Longitudinal Medical Notes
Leveraging Machine Learning for Autonomous Ultrasonic Mitigation of Harmful Algal Blooms Along the Pacific Coast
Computing load aware and long-view load balancing for cluster storage systems
Fast decentralized gradient descent method and applications to in-situ seismic tomography
Enterprise subscription churn prediction
Complex Networks Exploration With Triangles
BFRecSys: A Blockchain-based Federated Matrix Factorization for Recommendation Systems
Algorithm Selection for Classification Problems via Cluster-based Meta-features
Mined semantic analysis: A new concept space model for semantic representation of textual data
Ti-skol: A Modular Federated Learning Framework Supporting Security Countermeasure Composition
Incorporating Emotions into Health Mention Classification Task on Social Media
Effectively Using Remote I/O For Work Composition in Distributed Workflows
Neural and Quantum Cryptography in Big Data: A Review
Orchestration of Thick Data Analytics Based on Conversational Workflows in Healthcare Community of Practice
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types
Proposal of an AI based approach for Urban Traffic Prediction from Mobility Data
Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC
Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter
A Big Data Platform for the Management of Local Energy Communities Data
ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation
On Node Embedding of Uncertain Networks
High Performance Attack Estimation in Large-Scale Network Flows
Efficient updates in cross-object erasure-coded storage systems
ODKT-IAC: Integrating Continual and Adaptive Learning for Personalized Path Recommendations
Model Selection for HERITAGE-AI: Evaluating LLMs for Contextual Data Analysis of Maryland's Domestic Traffic Ads (1824-1864)
ClusTop: A clustering-based topic modelling algorithm for twitter using word networks
A Multi-Scale Collaborative Fusion Network for Joint Organ and Lesion Segmentation
In-DBMS K-means Clustering for Binary Streams
Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation
Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis
Google Trends Analysis of COVID-19 Pandemic
A survey on semantic Web and big data technologies for social network analysis
Semi-Supervised Multi-Source Sea Ice Classification in Small-Data Regime
GPU Acceleration for Data Processing and Analytics
Scalable Construction of Text Indexes with Thrill
A Low-Overhead Integrity Verification for Big Data Transfers
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series
A Microservices Based Architecture for Implementing and Automating ETL Data Pipelines for Mobile Crowdsensing Applications
Using categorized web browsing history to estimate the user's latent interests for web advertisement recommendation
Multimodal Large Language Models: A Survey
Estimation of the economic impact of large-scale flooding in the Tokyo metropolitan area
Research on the big data system of massive open online course
Dynamic Topology Optimization for Efficient and Decentralised Federated Learning
Naive Transfer Learning Approaches for Suspicious Event Prediction
Graggle: A Graph-based Approach to Document Clustering
Tile based visual analytics for Twitter big data exploratory analysis
Deep Learning Framework For Internet Of Things For People With Disabilities
A study on interpretability of decision of machine learning
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
A Parallel and Asynchronous Approach for Anomaly Detection
A Social Network Analysis of Jobs and Skills
High Performance I/O For Large Scale Deep Learning
Analysis of Top-Ranked HEI Publications' Strategy on Twitter
Refined and Segmented Price Sentiment Indices from Survey Comments
Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction
RECUT: RE-Compressing partially Unordered Trees
Hate or Non-hate: Translation based hate speech identification in Code-Mixed Hinglish data set
Big Data Analytics Framework for Predictive Analytics using Public Data with Privacy Preserving
FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data Leakage
Knowledge Injection of Structural CyberSecurity Concept into Large Language Models
Hardware Generation on Trigonometric Functions
A Quantum Bayesian Approach for Bike Sharing Demand Prediction
A new approach to building the interindustry input-output table using block estimation techniques
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence
Cyberattack Prediction Through Public Text Analysis and Mini-Theories
Similarity Analysis of Order Trajectory for Hospital Management
Activation Landscapes as a Topological Summary of Neural Network Performance
The Unbanked and Poverty: Predicting area-level socio-economic vulnerability from M-Money transactions
Elucidating the extent by which population staying patterns help improve electricity load demand predictions
Prioritized Sampling on Knowledge Distillation for Nowcasting Pluvial Flood Prediction
Performance optimization in scale-out storage using design of experiment as heuristic
RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing
Modeling multiple subskills by extending knowledge tracing model using logistic regression
A systematic review of traceability issues in beef supply chain management
Single-pass Hierarchical Text Classification with Large Language Models
Unsupervised Conditional Adversarial Networks for Tax Evasion Detection
Elver: Recommending Facebook pages in cold start situation without content features
Compliance with Stay-at-Home Orders During COVID-19
H-MIS: A Hierarchical Multi-Identifier System Based on Blockchain
Scalable Record Linkage
App-Aware Response Synthesis for User Reviews
An incremental local-first community detection method for dynamic graphs
Co-location Pattern Mining of Geosocial Data to Characterize Urban Functional Spaces
Streaming Algorithm for Big Data Logistic Regression
Towards resource-efficient cloud systems: Avoiding over-provisioning in demand-prediction based resource provisioning
MMap: Fast billion-scale graph computation on a PC via memory mapping
Efficient Data Management in Neutron Scattering Data Reduction Workflows at ORNL
Comparing User Activity on X and Mastodon
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
Information retrieval, fusion, completion, and clustering for employee expertise estimation
Automating Domain Squatting Detection Using Representation Learning
Modelling cascades over time in microblogs
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets
Academic publishing as a social media paradigm
Leveraging Large Language Models for Dynamic Scenario Building targeting Enhanced Cyber-threat Detection and Security Training
Proposal of classification method of bus operation states using sensor data
On event-driven knowledge graph completion in digital factories
Panopticon: A lock broker architecture for scalable transactions in the datacenter
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks
Towards a heterogeneous, polystore-like data architecture for the US Department of Veteran Affairs (VA) enterprise analytics
A multimedia big data retrieval framework to detect dyslexia among children
Optimized Road Damage Detection Using Enhanced Deep Learning Architectures for Improved Inference Speed and Accuracy
RecANt: Network-based Recruitment for Active Fake News Correction
Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System
FRLDM: Empowering K-nearest Neighbor (KNN) through FPGA-based Reduced-rank Local Distance Metric
A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction
Large scale app recommendation in Ant Financial
NNCR: Revising Classifications using Embedding Based K-Nearest-Neighbor Search
Short-term local weather forecast using dense weather station by deep neural network
Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning
Visual Analytics for Real-Time Flight Behavior Threat Assessment
Optimization of arable land use towards meat-free and climate-smart agriculture: A case study in food self-sufficiency of Vietnam
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics
Understanding Data Similarity in Large-Scale Scientific Datasets
Analysis of large sparse graphs using regular decomposition of graph distance matrices
Enhancing Clinical Information Retrieval through Context-Aware Queries and Indices
Combining Demographic Tabular Data with BERT Outputs for Multilabel Text Classification in Higher Education Survey Data
Leveraging Big Data from Smart Thermostats: A Vision to Evaluate Heatwave Impacts on Sleep Health in the Elderly [Vision Paper]
Knowledge Graph Enhanced Event Extraction in Financial Documents
Buyer targeting optimization: A unified customer segmentation perspective
Sparse Poisson coding for high dimensional document clustering
Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends
Automatic topic discovery of online hospital reviews using an improved LDA with Variational Gibbs Sampling
Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study
Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics
Multistream regression with asynchronous concept drift detection
TreeCNN and NILMTK Unite: Illuminating Energy Efficiency in Real-World Scenarios
Evaluating MASHAP as a faster alternative to LIME for model-agnostic machine learning interpretability
Scalable Outlier Detection Using Distance Projections
Coping with Big Data in Transfer Optimization
Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform
Towards an effective and efficient malware detection system
The EMBERS architecture for streaming predictive analytics
BERT-MLTKE: A Multi-task Deep Learning Framework for Keyphrase Extraction in Social Media
Distributed Big Data Mining Platform for Smart Grid
Explainable Deep Learning Applied to Understanding Opioid Use Disorder and Its Risk Factors
Efficient Dynamic Federated Learning for Imbalanced Data
Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data
Leveraging cloud computing to convert the non-intrusive load monitor into a powerful framework for grid-responsive buildings
Detecting Latent Structure Uncertainty with Structural Entropy
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes
Big data analytics in support of the under-rail maintenance management at Vitória - Minas Railway
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries
Component based dataflow processing framework
DiffGSL: A Graph Structure Learning Diffusion Model for Dynamic Spatio-Temporal Forecasting
Towards a more meterless parking system: Understanding meter payment behavior and trends in Washington, DC
Minimum storage BASIC codes: A system perspective
An Effective and Scalable Data Modeling for Enterprise Big Data Platform
The strategic need to understand online memes and modern information warfare theory
A Secure and Reusable Software Architecture for Supporting Online Data Harmonization
SQ2SV: Sequential Queries to Sequential Videos retrieval
Factors Influencing Human Mobility During The COVID-19 Pandemic in Selected Countries of Europe and North America
Analysis of Bias in Gathering Information Between User Attributes in News Application
Event clustering & event series characterization on expected frequency
Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks
Leveraging Knowledge Graphs for Matching Heterogeneous Entities and Explanation
Master-ASL: Sign Language Learning and Assessment System
Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
Analyzing the Effects of Topics Underlying Companies' Financial Disclosures about Risk Factors on Prediction of ESG Risk Ratings: Emphasis on BERTopic
AI Framework to Forecast Medication Usage with ICD-9/10 Code
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022)
Identification of Traffic Accident Clusters using Kulldorff's Space-Time Scan Statistics
Performance Evaluation of a Differentially-private Neural Network for Cloud Computing
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics
A Hybrid Deep Model for Learning to Rank Data Tables
ReSpark: Automatic Caching for Iterative Applications in Apache Spark
Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers
Cyber Threat Hunting Through Automated Hypothesis and Multi-Criteria Decision Making
Autonomic Workload Change Classification and Prediction for Big Data Workloads
Network Embedding: on Compression and Learning
ChieF: A Change Pattern based Interpretable Failure Analyzer
Graph Matching via Multi-Scale Heat Diffusion
Matching Noisy Keys for Obfuscation
Empowering Data Mesh with Federated Learning
Sharding for literature search via cutting citation graphs
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Learning to Predict Material Structure from Neutron Scattering Data
Data Resampling and Ensemble Learning for Vehicle Class and Orientation Detection
ICL: An Incentivized Collaborative Learning Framework
Accelerating Graph Query Languages for Machine Learning and Retrieval Augmented Generation
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties
Mining and analysing one billion requests to linguistic services
A performance evaluation of Apache Kafka in support of big data streaming applications
GAPS: Generality and Precision with Shapley Attribution
Security for the scientific data services framework
A distributed vertex-centric approach for pattern matching in massive graphs
Shrink: Data Compression by Semantic Extraction and Residuals Encoding
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Enhancing the Microservices Architecture for the Internet of Things
Effectively Unified optimization for Large-scale Graph Community Detection
Juris-Informatics: Law for AI and Law of AI
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
Addressing Stability in Classifier Explanations
Towards Building an Interactive Platform for Analyzing Movement of Buses in Hajj
Residual Neural Network Architectures to Improve Prediction Accuracy of Properties of Materials
HealthEdge: Task scheduling for edge computing with health emergency and human behavior consideration in smart homes
Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction
Recall estimation for rare topic retrieval from large corpuses
Robust Text CAPTCHAs Using Adversarial Examples
Transfer learning for time series classification
CloudRS: An error correction algorithm of high-throughput sequencing data based on scalable framework
A system architecture for manufacturing process analysis based on big data and process mining techniques
Interactive Visualization and Portable Image Blending of Massive Aerial Image Mosaics
Stabilizing Adversarial Training for Generative Networks
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
An Approach for Validating Quality of Datasets for Machine Learning
A SVM approach for lightpath QoT estimation in optical transport networks
Towards an ethical application of customer feedback data
Fake Face Detection Using Deep Neural Network
An Approach to Support Human-in-the-Loop Big Data Software Development Projects
Detecting fraud, corruption, and collusion in international development contracts: The design of a proof-of-concept automated system
Scalable distributed event detection for Twitter
Comparison of different driving style analysis approaches based on trip segmentation over GPS information
LongKey: Keyphrase Extraction for Long Documents
Infer Latent Privacy for Attribute Network in Knowledge Graph
A Novel Estimate Fitness Method by Measuring A large number of Sub-event Logs Conformance
Predicting Loss Risks for B2B Tendering Processes
Identifying Important Internet Outages
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers
Time Series Causal Discovery Using a Hybrid Method
Personalized Federated Learning Techniques: Empirical Analysis
Retrieving Entities from Knowledge Graphs without Knowing Much: On Learning Generalizable Patterns and Indexing
A Natural Language Processing Based Trend Analysis of Advanced Persistent Threat Techniques
Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification
Real-time streaming mobility analytics
Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery *
Virtual Big Data for GAN Based Data Augmentation
Time Series Transformer for Long Term Rainfall Forecasting Towards Water Distribution Management in Smart Cities
CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batches
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search
Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19
Triple-Parity Vertical Array Codes with Optimal Update Bandwidth and Fast Encoding/Decoding Performance
System and Method on Order Management Using Neural Networks and Risk Modeling
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models