yusuke1997/dblp-id-title huggingface dataset:
Social-Based Classification of Multiple Interactions in Dynamic Attributed Networks
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations
Predicting Influence Probabilities using Graph Convolutional Networks
Research on User Consumption Behavior Prediction Based on Improved XGBoost Algorithm
A hybrid bipartite graph based recommendation algorithm for mobile games
A Study of Spoken Audio Processing using Machine Learning for Libraries, Archives and Museums (LAM)
A Computational Review of the Literature of Computational Archival Science (CAS): Advancing Archival Theory in the Age of the Digital Tsunami and the Vanishing Box Problem
All in One: Encoding spatio-temporal big data in XML, JSON, and RDF without information loss
Low complexity sensing for big spatio-temporal data
Unlock big data emotions: Weighted word embeddings for sentiment classification
SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics
Automatic Segmentation and Quantification of TB Scale Volumetric Murine Brain Vasculature Data
BuTTER: BidirecTional LSTM for Food Named-Entity Recognition
Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability
Vessel movement analysis and pattern discovery using density-based clustering approach
An open schema for XML data in Hive
Opportunities and Challenges of Generative-AI in Finance
Adaptive spatio-temporal mining for route planning and travel time estimation
Analyzing the Cascading Effect of Traffic Congestion Using LSTM Networks
Making Karaoke Parties Lively by Reordering Songs Based on Pop Music Concert Program Data
Can search data help forecast inflation? Evidence from a 13-country panel
Active Learning for Practical Misinformation Classification in Social Media: a Case Study on COVID-19
Predicting traffic of online advertising in real-time bidding systems from perspective of demand-side platforms
GDP Nowcasting Based on Daily Electricity Data and Financial Market Data
Predicting outcomes for big data projects: Big Data Project Dynamics (BDPD): Research in progress
Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising
Matisse: A visual analytics system for exploring emotion trends in social media text streams
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images
AI-Driven Agriculture: Opportunities and Challenges
Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform
User-generated content curation with deep convolutional neural networks
Automatic Hyperparameter Tuning of Machine Learning Models under Time Constraints
Detecting Curve Text with Local Segmentation Network and Curve Connection
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks
A posteriori Trading-inspired Model-free Time Series Segmentation
RYAN: A tool for explaining and visually analyzing the evolution of Relaxed Functional Dependencies
Temporal Tensor Transformation Network for Multivariate Time Series Prediction
FastTopK: A Fast Top-K Trajectory Similarity Query Processing Algorithm for GPUs
The Role of Selfies in Creating the Next Generation Computer Vision Infused Outpatient Data Driven Electronic Health Records (EHR)
Trade less Accuracy for Fairness and Trade-off Explanation for GNN
A look at challenges and opportunities of Big Data analytics in healthcare
Twitter Bot Identification: An Anomaly Detection Approach
Privacy and Security of Big Data in AI Systems: A Research and Standards Perspective
Market Abnormality Period Detection via Co-movement Attention Model
The Soundex Blocking: A Novel Blocking Approach for Record Linkage
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks
On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem
A Hybrid Corpus based Fine-grained Semantic Alignment Method for Pre-trained Language Model of Ancient Chinese Poetry
Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation
Reject Inference as a Noisy Label Detection and Counterfactual Correction Task
Hybrid algorithms for subgraph pattern queries in graph databases
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network
Making History Readable
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales
A Performance Evaluation of Spark GraphFrames for Fast and Scalable Graph Analytics at Twitter
Dione: Profiling spark applications exploiting graph similarity
An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data
Region-based Sub-Snapshot (RegSnap): Enhanced Fault Tolerance in Distributed Stream Processing with Partial Snapshot
CoT-Tree: An Efficient Prompting Strategy for Large Language Model Classification Reasoning
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies
A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing
Scene Text Recognition with Heuristic Local Attention
Harvesting Large Textual and Multimedia Data to Detect Illegal Activities on Dark Web Marketplaces
Averaging Ensembles Model for Forecasting of Short-term Load in Smart Grids
AI Composite Sensor using BigData for Energy Management System
B3SafirBiyo: Genomic variant analysis with big data technologies
Ourmuse: Plot-Specific AI Music Generation for Video Advertising
Empowering Cover Crop Decision Support with Visualization and Provenance Enhancement
Modelling Online Comment Threads from their Start
Explainable Machine Learning for Regime-Based Asset Allocation
A glue language for event stream processing
Spark-based rare association rule mining for big datasets
Real-Time Heart Rate Monitoring via Wi-Fi Signal
TIFG: Text-Informed Feature Generation with Large Language Models
Multi-objective optimization of scheduling dataflows on heterogeneous cloud resources
Using Knowledge Graphs and Reinforcement Learning for Malware Analysis
Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition
Improving expectation maximization algorithm over stellar data
Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets
Versatile Communication Optimization for Deep Learning by Modularized Parameter Server
Learning Diversity Attributes in Multi-Session Recommendations
The role of unstructured data in real-time disaster-related social media monitoring
Enhancing Resource Provisioning Across Edge-based Environments
Gradient boosting decision trees for cyber security threats detection based on network events logs
Computer-Assisted Appraisal and Selection of Archival Materials
Automatic Extraction of Personality from Text: Challenges and Opportunities
A Rival Recommendation Approach for Acoustic AR Running Support System Considering the Athletic Ability of Users
CallCab: A unified recommendation system for carpooling and regular taxicab services
Incremental window aggregates over array database
Sparse Sounds: Exploring Low-Dimensionality in Music Generation Model
AI Tool with Active Learning for Detection of Rural Roadside Safety Features
Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods
Multilingual Financial Word Embeddings for Arabic, English and French
Adapted Tree Boosting for Transfer Learning
Approximate Top-k Inner Product Join with a Proximity Graph
Pitfalls of long-term online controlled experiments
A Comparison of Federated Aggregation Strategies and Architectures for Next-word Prediction
A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State
Distributed Data Analysis Workflow System across Multiple Data Hubs
Scaled Entity Search: A method for media historiography and response to critiques of big humanities data research
Fast nearest neighbor search through sparse random projections and voting
Identifying actionable messages on social media
cPSITRES: A collaborative system for analysis of Big Data on sea ice
Real-time Lexicon-based sentiment analysis experiments on Twitter with a mild (more information, less data) approach
Pattern recognition and classification of HVAC rule-based faults in commercial buildings
A C library of repair-efficient erasure codes for distributed data storage systems
Contact-Tracing based on Time-Varying Graphs Analysis
Integrated access to big data polystores through a knowledge-driven framework
Efficient distributed maximum matching for solving the container exchange problem in the maritime industry
BIG: Big Data Intelligence Governance Framework
Leveraging Machine Learning, Transformers, and Large-Scale Chemical Data to Predict TGF-β1 Inhibitors for Cardiac Fibrosis Treatment
Real-time testing of vision-based systems for AGVs with ArUco markers
Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels
A New IoT Storage System Based on Raw NVM
Automated Polynomial Filter Learning for Graph Neural Networks
A Machine Learning Evaluation of the COMPAS Dataset
Kratos: A secure, authenticated and publicly verifiable system for educational data using the blockchain
Net Promoter Sentiment Classifier Using OHPL-ALL
The NIST data science evaluation series: Part of the NIST information access division data science initiative
ABC: A practicable sketch framework for non-uniform multisets
A Method to Correct Perspective Distortion of Ground Area without Camera Parameters
Multi-Attribute Topic Feature Construction for Social Media-based Prediction
PGAN-KD:Member Privacy Protection of GANs Based on Knowledge Distillation
Explainable Visualization for Interactive Exploration of CNN on Wikipedia Vandal Detection
Residual value prediction using deep learning
Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting
Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface Interactions
Evaluating task scheduling in hadoop-based cloud systems
Enhancing data quality by cleaning inconsistent big RDF data
Why-Diff: Explaining differences amongst similar workflow runs by exploiting scientific metadata
From Words to Actions: A Comprehensive Approach to Identifying Incel Behavior on Reddit
Spatial-crowd: A big data framework for efficient data visualization
RDFINT: A Benchmark for Comparing Data Warehouse with Virtual Integration Approaches for Integration of RDF Data
An overview of studies about students' performance analysis and learning analytics in MOOCs
Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud with RDMA Networks *
Toward automatic assessment of a risk of women's health disorders based on ontology decision models and menstrual cycle analysis
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems
Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation
Explainable Deep Learning for Smart Grid Stability Detection
The roles of network communities in social information diffusion
Compressed domain-specific data processing and analysis
Efficient and private approximations of distributed databases calculations
Earth science data fusion with event building approach
Storage Capacity Prediction using Population Analytics
Leveraging BERT and Network-Based Attention Analysis for Identifying Treatment Milestones in EHRs
PepAls: Performance Prediction and Algorithm Selection Framework for Data Mining Applications
Incremental algorithms for closeness centrality
Near Neighbor Search for Constraint Queries
Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification
Multi-Channel Large Network Simulation Including Adversarial Activity
Graph-based analysis of resource dependencies in project networks
Inside the Matrix: CTI Frameworks as Partial Abstractions of Complex Threats
Constructing Influence Trees from Temporal Sequence of Retweets: An Analytical Approach
Distributed Top-k Subgraph Matching in A Big Graph
Toward an efficient, highly scalable maximum clique solver for massive graphs
Fair Collective Classification in Networked Data
Restricted Recurrent Neural Networks
Robust Basketball Player Tracking Based on a Hybrid Detection Grouping Framework for Overlapping Cameras
Big data techniques for industrial problems with little data
From Data Warehouse to Lakehouse: A Comparative Review
Real-Time Finger-Video Analysis for Accurate Identity Verification in Mobile Devices
Guiding the Data Learning Process with Physical Model in Air Pollution Inference
A transaction model for management of replicated data with multiple consistency levels
Mining accompanying relationships between diseases from patient records
User authentication based on smartphone application usage patterns through learning classifier systems
Subspace Clustering of Very Sparse High-Dimensional Data
Cybersecurity in Public Space: Leveraging CNN and LSTM for Proactive Multivariate Time Series Classification
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization
MS 2 A: A Multi-Scale Spatial Aggregation Framework for Visual Place Recognition
Twitter opinion mining for adverse drug reactions
Predicting the Impact of Shared Autonomous Vehicles on Tokyo Transportation Using MATSim
Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems
Dask & Numba: Simple libraries for optimizing scientific python code
Efficient index updates for mixed update and query loads
bench4gis: Benchmarking Privacy-aware Geocoding with Open Big Data
Outlier Elimination Procedure for Power Curve Modeling of Wind Generation
Mobile Application Behaviour Anomaly Detection based on API Calls
Empirical analysis of the residual information needed for image classification
Activation Ensembles for Deep Neural Networks
Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at Scale
A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning
Transportation Card Data Analysis for Ride-Hailing Demand Estimation in Urban Area
Embedding propagation over heterogeneous event networks for link prediction
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations
Preserving Privacy of Temporal Big Data
Data Mining Approach for Predicting the Fall Accident Cost in Construction Projects
Sent2Vec: A New Sentence Embedding Representation With Sentimental Semantic
Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach
Scientific computing meets big data technology: An astronomy use case
Temporal Pattern Recognition in Graph Data Structures
Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories
Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore
Learning Cataract Severity Using the Contrast Sensetivity Scale: A Thick Data Approach
RFMI-based Customer Segmentation with K-means
INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data
INFA-FinOps for Cloud Data Integration
Big-data-driven anomaly detection in industry (4.0): An approach and a case study
A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism
Cloud based Real-Time and Low Latency Scientific Event Analysis
DRA U-Net: An Attention based U-Net Framework for 2D Medical Image Segmentation
The Analysis and Development of an XAI Process on Feature Contribution Explanation
LiveDataLab: A Cloud-based Open Lab for Integrating Big Data Research, Education, and Applications
Understanding User Understanding: What do Developers Expect from a Cognitive Assistant?
When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design
Character Recognition by Deep Learning: An Enterprise solution
Monitoring adolescent alcohol use via multimodal analysis in social multimedia
Robust Features for Activities Recognition
Interactive Machine Learning by Visualization: A Small Data Solution
The Challenge of a Strong Speed-Up of a Bio-Medical Big Data Application
A generalized flow for multi-class and binary classification tasks: An Azure ML approach
DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent Cost-Sensitive Deep Neural Networks
Optimal Copyset in Distributed Object Storage
Markdown Pricing For a Large Scale Retailer
The Diffusion of Information: The Impact of Sentiment and Topic on Retweets
Evaluating Performance Trade-offs of Caching Strategies for AI-Powered Querying Systems
Machine Learning and Social Media to Mine and Disseminate Big Scientific Data
Enabling query processing across heterogeneous data models: A survey
A Simple Low Cost Parallel Architecture for Big Data Analytics
Robust multi-label semi-supervised classification
Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka
Using GAN to Generate Malicious Samples Suitable for Binary Classifier Training
Commercial Space Classification and Prediction with Machine Learning and Multiple Data Sources: A Case Study of Milan
Implementing Efficient and Scalable In-Database Linear Regression in SQL
Scalable Tensors for Big Data Analytics
Scalable Distributed Subtrajectory Clustering
If it looks, retweets and follows like a troll; Is it a troll?: Targeting the 2021 Ecuadorian Presidential Elections Trolls
Toward smart manufacturing using decision analytics
Constellation: A science graph network for scalable data and knowledge discovery in extreme-scale scientific collaborations
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
Estimating Potential Error in Sampling Interpolation
Towards Predicting Bus On-Time Performance in the Inland Empire
Preliminary Research on Vehicle Speed Detection using Traffic Cameras
IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.ai
Impact of security awareness training on phishing click-through rates
Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling
The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning
HateNet: A Graph Convolutional Network Approach to Hate Speech Detection
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining
Privacy-preserving Approximate Query Processing with Differentially Private Generative Models
Securing the positioning signals of autonomous vehicles
Optimizing Imputation Accuracy With DRL-Based Sensor-less Scheduling
Automated Knowledge Framework for IoT Cybersecurity Compliance
Word Sense Disambiguation Using Wikipedia Link Graph
K-nearest Neighbor Search by Random Projection Forests
A Deep Learning Approach for Road Damage Detection from Smartphone Images
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator
Increasing the veracity of event detection on social media networks through user trust modeling
A new Zigzag MDS code with optimal encoding and efficient decoding
MLANE: Meta-Learning Based Adaptive Network Embedding
Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction
A processing architecture for real-time predictive smart city digital twins
Visual analytics with unparalleled variety scaling for big earth data
GraphOpt: a Framework for Automatic Parameters Tuning of Graph Processing Frameworks
Wealth of Nations, Wealth of Data: How GDP Shapes Diverse Large Language Models like ChatGPT : Interviewing Assorted Open Source Generative AI Models
An Efficient In-Memory Analytics System Based on Persistent Memory
suvfs: A virtual file system in userspace that supports large files
Realization of Effective Team Management Collaborating between Cloud-based System and On-site Human Activities - A Case Study of Building Damage Inspection at 2018 Hokkaido Eastern Iburi EQ-
Mask R-CNN: Detection Performance on SPEED Spacecraft With Image Degradation
The Dynamics of Ukraine-Russian Conflict through the Lens of Demographically Diverse Twitter Data
Fast and Accurate Mining of Node Importance in Trajectory Networks
Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems
Dynamic aggregation for time series forecasting
Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations
Deep Neural Query Understanding System at Expedia Group
WATAPI: Composing Web API Specification from API Documentations through an Intelligent and Interactive Annotation Tool
Tackling the Neighboring Network Hit Problem in Cellular Data
High Beam Detection Method Based on Deep Learning
AI Approaches for Electricity Price Forecasting in Stable/Unstable Markets: EU Improvement Project
Dynamic Mining Interval to Improve Blockchain Throughput
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
Dynamic data transformation for low latency querying in big data systems
Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale
ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy
Comparison of Consensus Building Processes by Different Reach Patterns on Opinion Dynamics
Multi-step prediction with missing smart sensor data using multi-task Gaussian processes
FlightSense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B Data
Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset
Retrieving Top-k Hyperedge Triplets: Models and Applications
A Deep Leaming Model with Multi-Scale Skip Connections for Solar Flare Prediction Combined with Prior Information
Quantifying moral foundations from various topics on Twitter conversations
Regression-based Optimizer Statistics generation based on q-error
Exploring Size-Speed Trade-Offs in Static Index Pruning
Robustness of emotion extraction from 20 th century English books
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning
Keyword-based Topic Modeling and Keyword Selection
Using meta-learning for model type selection in predictive big data analytics
Distributed Top-N local outlier detection in big data
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning
MedTimeSplit: Continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data
Effectively Testing System Configurations of Critical IoT Analytics Pipelines
Improving Automated Feature Selection in Cancer Genomics Using Reinforcement Learning
Groundwater Level Prediction: Analyzing the Performance of LSTM and QLSTM Model
What makes a group fail: Modeling social group behavior in event-based social networks
A Convolutional Autoencoder Based Method with SMOTE for Cyber Intrusion Detection
EGANKT: Enhancing Graph-Attention Networks for Knowledge Tracing by Predicting Concepts and Abilities
Predicting family physicians based on their practice using machine learning
DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit Systems
Automated feature engineering for prediction of victories in online computer games
BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias
EveryoneCounts: Data-driven digital advertising with uncertain demand model in metro networks
An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data
Deep Time Series Sketching and Its Application on Industrial Time Series Clustering
Energy Efficiency vs. Performance of Analytical Queries: The case of Bitmap Join Indexes
Unsupervised deep learning for subspace clustering
Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks
FedRAL: Cost-Effective Distributed Annotation via Federated Reinforced Active Learning
Knowledge Graph-Empowered Materials Discovery