yusuke1997/dblp-id-title huggingface dataset:
A scalable approach for data-driven taxi ride-sharing simulation
Ultra-wide Band Positioning with Signal Interference based on Two-Stream Residual Network
Fast learning for big data applications using parameterized multilayer perceptron
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data
A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization
Data management in training AI chatbot with personality based on granular computing
Analysis of the New York City's Vehicle Crash Open Data
Adaptive Neighborhood Sampling and KAN-Based Edge Features for Enhanced Fraud Detection
Monitoring Networks with Queries Evaluated by Edge Computing
A Novel Approach for Deep Learning-Powered Forecasting of Market Bottoms in Cryptocurrency and Stock Trading
Code LLMs: A Taxonomy-based Survey
Improving I/O Performance in Container with OverlayFS
Large-scale point-of-interest category prediction using natural language processing models
Early ChatGPT User Portrait through the Lens of Data
Collaborative Streaming: Trust Requirements for Price Sharing
Giving voice to office customers: Best practices in how office handles verbatim text feedback
Trajectory-User Linking Is Easier Than You Think
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns
Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal Embedding
Exploratory studies into forensic logs for criminal investigation using case studies in industrial control systems in the power sector
A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR)
Optimizing Deployment of Homomorphic Encryption and SQL using Reinforcement Learning
Stochastic Process for Analyzing Speech on the Web with Consideration of Media Mediation in Large-scale Broadcast Events in Japan
VEMUT-Sub-Sampling: A Novel Method for Sparse Multivariate Time-Series Vehicle Data
Baseline for Performance Prediction of Android Applications
Nested Dolls: Towards Unsupervised Clustering of Web Tables
Uncertainty Visualization for Graph Coarsening
Towards a big data requirements engineering artefact model in the context of big data software development projects: Poster extended abstract
Help Oneself in Helping the Others: the Ecology of Online Support Groups
MRAttractor: Detecting communities from large-scale graphs
Discovering Localized Drivers of Unrest Events using Clustering and XGBoost
Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph Analytics
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021
IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024
Analysis of star ratings in consumer reviews: A case study of Yelp
Colon cancer survival prediction using ensemble data mining on SEER data
ML-Based Trading Strategy for Short-Term Price Reactions on Earnings Announcement Reports
Streaming analytics processing in manufacturing performance monitoring and prediction
MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study
Automated Counterfactual Generation in Financial Model Risk Management
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks
A generator of test data set for tactical moving objects based on velocity
Deduplicating Large Volumes of Data from Natural and Legal Entities in the Governmental Field
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
Predicting and Optimizing City-Scale Road Traffic Dynamics Using Trajectories of Individual Vehicles
Virtual-Link Representation for Link Prediction
A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
Interactive personalized interesting pattern discovery
Optimized Model of Ledger Database Management to handle Vehicle Registration
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction
Detecting Paralysis of Stroke Symptom in Video: Transfer Learning with Gated Recurrent Unit using Public Big Data of Facial Images
Learning Embeddings of Directed Networks with Text-Associated Nodes - with Application in Software Package Dependency Networks
Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability
Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel
InfoFair: Information-Theoretic Intersectional Fairness
Detecting Fake News Spreaders on Social Media Using Posts Content Versus Profile Information
Agent-Navigable Dynamic Graph Construction and Visualization over Distributed Memory
Probabilistic Relational Supervised Topic Modelling using Word Embeddings
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models
Cost-Efficient Cross-Region Copy in Cloud Data Warehouse: An Evolutionary Approach
An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs
Performance evaluation of big data frameworks for large-scale data analytics
Ontology-Based Generation of Data Platform Assets
Quantum Kernel Based Transient Stability Assessment of Power Systems and Its Implementation in NISQ Environment
Context-based Fact-checking Using Knowledge Graph
Systematic Analysis of Public Transit Data Availability in Canada
Restricted Boltzmann Machines for Recommender Systems with Implicit Feedback
Using social media photos to identify tourism preferences in smart tourism destination
Cluster-based aggregate forecasting for residential electricity demand using smart meter data
MI-OPJ: A Microservices-based Online Programming Judge
The Canonical Interval Forest (CIF) Classifier for Time Series Classification
Privacy Bargaining with Fairness: Privacy-Price Negotiation System for Applying Differential Privacy in Data Market Environments
Multiple Time-Series Data Analysis for Rumor Detection on Social Media
Survey of the use of digital technologies to combat COVID-19
Market Size Estimation Model at the Product Level based on Text Mining Approach
Optimizing YOLO Architectures for Optimal Road Damage Detection and Classification: A Comparative Study from YOLOv7 to YOLOv10
Randomized Response Has No Disparate Impact on Model Accuracy
Multi-label Co-training using a Graph neural network
Test Script Generation Based on Hidden Markov Models Learning From User Browsing Behaviors
CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression
SE(3) Equivariant Neural Network for 3D Graphs
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model
Teachers in Social Media: A Gender-aware Behavior Analysis
SUDS: System for uncertainty decision support
Sequence Matching with Discriminative Binary Features for Robust and Fast Light-Rail Localization at High Frame Rate
Multi-Item Continuous Influence Maximization
Multi-View Subspace Clustering based on Tensor Schatten-p Norm
Estimating pairwise distances in large graphs
Music Generation using Human-In-The-Loop Reinforcement Learning
Vision Paper: Addressing the Threat of 3D Printing Firearm Files with Data-Driven Strategies
Improving Cybersecurity Awareness: Tweet Classification using Multilingual Sentence Embeddings and Contextual Features
Marlin: Taming the big streaming data in large scale video similarity search
Scalable prediction of energy consumption using incremental time series clustering
Factual Accuracy Checking by Validating Numerical Data in Financial Summaries
Generalized compression and compressive search of large datasets
Managing Records in Enterprise Resource Planning Systems
RePAIR: Recommend political actors in real-time from news websites
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges
A tool for assisting in the forensic investigation of cyber-security incidents
An enhanced LGSA-SVM for S&P 500 index forecast
A decision tree based approach towards adaptive modeling of big data applications
Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases
COOP-DHGNN: a Framework for Joint Classification and Prediction of Brain Functional Connectivity Using Sparse Trajectory Dataset with Application to Early Dementia
A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts
A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases
CareerMapper: An automated resume evaluation tool
Can Time Series Data Mining Facilitate Wider Adoption of Mobile Health?
Evaluation of Fuzzy Integral Data Fusion Methods for Rare Object Detection in High-Resolution Satellite Imagery
RARE: Rare Action Rule Exploration
Anomaly Detection as a Data Reduction Approach for Test Event Analysis at the Edge
DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction
FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning
Interaction in Metaverse: A Survey
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022
Asymmetric Self-Supervised Graph Neural Networks
Quadtree-based lightweight data compression for large-scale geospatial rasters on multi-core CPUs
Materials discovery: Understanding polycrystals from large-scale electron patterns
A Real-World Implementation of Unbiased Lift-based Bidding System
Exploiting visual and textual neighborhood information to improve image-tag relevance
Data Interpretation Driven by Algebra of Time-Dependent Operators
Evaluating parallel logistic regression models
Meeting predictable buffer limits in the parallel execution of event processing operators
Exploring the utilization of places through a scalable "Activities in Places" analysis mechanism
Forecasting of Trends in Legal Spend Management
Verification of Sparsity in the Attention Mechanism of Transformer for Anomaly Detection in Multivariate Time Series
The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter
ByteStore: Hybrid Layouts for Main-Memory Column Stores
Real World Data for Clinical Trials Designs using Machine Learning
Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Maintaining NoSQL Database Quality During Conceptual Model Evolution
MetaStore: A metadata framework for scientific data repositories
Understanding and Mitigating Threats from Android Hybrid Apps Using Machine Learning
A SERP-Mining Approach for Classification of DNS Requests
Provenance-based object storage prediction scheme for scientific big data applications
Detection of profile injection attacks in social recommender systems using outlier analysis
Exploring spatio-temporal-theme correlation between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors
Trip Destination Prediction with Candidate Retrieval and Negative Sampling : IEEE BigData Cup 2022: Trip Destination Prediction
An Analysis of the Relationship between Online Social Capital and Social Media Experiences
Can Causal DAGs Generate Data-based Explanations of Black-box Models?
A Deep Dive into Vector Stores: Classifying the Backbone of Retrieval-Augmented Generation
A building performance evaluation & visualization system
SciFlow: A dataflow-driven model architecture for scientific computing using Hadoop
Detection of Phishing websites using Generative Adversarial Network
Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage
Ready for the Big Game: How FanDuel Boosts Conversions and Revenue at Scale with a Real-Time Recommender System for Daily Fantasy Sports
Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition
Fast solution of load shedding problems via a sequence of linear programs
Data Mining Approach to the Identification of At-Risk Students
Adapting to data sparsity for efficient parallel PARAFAC tensor decomposition in Hadoop
Correlation between weather and weather-related tweets - A preliminary study
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021
Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth
Comparative Study of 3D Point Cloud Compression Methods
Scalable Big Spatial Data Processing with SQL Query Compilation and Distributed Morsel-driven Parallelism
Music Copyright Infringement Detection via Heterogeneous Attention Network
GuideMe: Routes coordination of participating agents in mobile crowd sensing platforms
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
SHCN: Self-supervised General Hypergraph Clustering Network
Optimal geospatial volunteer allocation needs realistic distances
SRNI-CAR: A Comprehensive Dataset for Analyzing the Chinese Automotive Market
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning
Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted Runs
An Early Warning System for Air Pollution Surveillance: A Big Data Framework to Monitoring Risks Associated with Air Pollution
ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning
Exploiting Anti-Monotonic Constraints in Mining Palindromic Motifs from Big Genomic Data
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques
Finetuning Large Language Models for Suicide Risk Level Assessment on Social Media
Measles Rash Identification Using Transfer Learning and Deep Convolutional Neural Networks
Multimodal Learning on Temporal Data
Alarm prediction in large-scale sensor networks - A case study in railroad
Lossless compression of high-frequency voltage and current data in smart grids
Estimating the Puzzlingness of Chess Puzzles
Skill grouping method: Mining and clustering skill differences from body movement BigData
Parallel deterministic annealing clustering and its application to LC-MS data analysis
Importance Sampling to Learn Vasopressor Dosage to Optimize Patient Mortality in an Interpretable Manner
A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach
The Evaluation of Extracted Features for Detecting Eclipse Attacks on Ethereum Network Layers
Multispeaker Identification System using Crowdsourcing-based Method
Hierarchical Federated Transfer learning and Digital Twin Enhanced Secure Cooperative Smart Farming
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls
TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks
Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace
Towards an evolution in the characterization of the risk of re-identification of medical images
Accelerating Precision Research and Resolution Through Computational Archival Science Pedagogy
Understanding EV Market Trend: Using Time Series Dynamic Topic Modeling with Youtube Data
Harnessing the Power of Vocal Signals in COVID-19 Detection Utilizing Machine Learning
N-dimensional geospatial data and analytics for critical infrastructure risk assessment
Stable Topological Feature Vectors via Hermite Function Expansion on Persistence Curves
Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements
Traffic Dispersion by Predicting Traffic Conditions based on Population Distribution
Optimizing Data Ingestion for Big Data: A Cloud-Based Design Pattern Approach
Semi-supervised Text Regression with Conditional Generative Adversarial Networks
Maritime situation analysis framework: Vessel interaction classification and anomaly detection
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients
Liars are More Influential: Effect of Deception in Influence Maximization on Social Networks
Representation of Click-Stream DataSequences for Learning User Navigational Behavior by Using Embeddings
Predicting Victories in Video Games - IEEE BigData 2021 Cup Report
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies
Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering
ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network
Evaluating Attribution Methods in Machine Learning Interpretability
CTT: Causally Informed Tensor Train Decomposition
Binary malware image classification using machine learning with local binary pattern
Parallel subgroup discovery on computing clusters - First results
Recurrent Neural Network-Assisted Adaptive Sampling for Approximate Computing
Concept-Driven Load Shedding: Reducing Size and Error of Voluminous and Variable Data Streams
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss
802.11ac and p in a Simulated VANET Environment
A Cloud-Native Approach to Hospital Price Transparency: Leveraging AWS for Scalable Data Processing and Presentation
CNN Application in Detection of Privileged Documents in Legal Document Review
Automatic Eating Behavior Detection from Wrist Motion Sensor Using Bayesian, Gradient Boosting, and Topological Persistence Methods
Large-scale text processing pipeline with Apache Spark
Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results
Detection of Previously Unseen Malware using Memory Access Patterns Recorded Before the Entry Point
Adaptive Biometric Cloud Facial Aging Template Policy - A Time Point Analysis
Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data
Towards constructing a driver management system based on large-scale driving operation records
Learning for Spatio-temporal and Relational Data
Big Data-Driven Computational Aptamer Design Framework via Parallel Monte Carlo Tree Search
A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic Data
BigFeat: Scalable and Interpretable Automated Feature Engineering Framework
Toward Implementing an Agent-based Distributed Graph Database System
Control System Design and Implementation Based on Big Data and Ontology
Toward Global Multimodal High-Resolution Land Surface Temperature Forecasting and Nowcasting
Towards a unified storage and ingestion architecture for stream processing
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows
Knowledge Distillation in Mixture of Experts for Multi-Modal Medical LLMs
SLA data management criteria
Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring
High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models
Short Paper: Predictive Trajectory Stream Indexing
Enterprise data economy: A hadoop-driven model and strategy
Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks
A study on modeling using big data and deep learning method for failure diagnosis of system
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
Materialized view selection in feed following systems
Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data
Towards scalable graph computation on mobile devices
Latent Learning with pyroMind.2020
Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments
Spatio-temporal queries in HBase
Data-Driven Template Discovery Using Graph Convolutional Neural Networks
Federated Objective: Assessing Client Truthfulness in Federated Learning
Parallel SECONDO: Practical and efficient mobility data processing in the cloud
Towards an integrated health research process: A cloud-based approach
A Planner for Scalable Tensor Programs
Time and Space Complexity of Deterministic and Nondeterministic Decision Trees: Local Approach
A Lifecycle for Engineering IoT Neural Network-based Systems
HackerNets: Visualizing Media Conversations on Internet of Things, Big Data, and Cybersecurity
Attention-Aware Multi-modal RNN for Deception Detection
GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems
Applied Data Science for Leasing Score Prediction
Applied attention-based LSTM neural networks in stock prediction
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests
Outbound behavior analysis through social network data: A case study of Chinese people in Japan
Non-blocking one-phase commit made possible for distributed transactions over replicated data
An Ethical Reflection Aid for Responsible AI in Computational Archival Science
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
Using Candlestick Charting and Dynamic Time Warping for Data Behavior Modeling and Trend Prediction for MWSN in IoT
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics
APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources
Social Media Analytics: A Case Study of Singapore General Election 2020
BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS
Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning
Towards Modular Modeling and Analytic for Multi-Modal Transportation Networks
Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic
A case study on entity Resolution for Distant Processing of big Humanities data
Use Image Clustering to Facilitate Technology Assisted Review
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
Hash in a flash: Hash tables for flash devices
Uncovering Performance Interference of Multi-Tenants in Big Data Environments
Leveraging Data-Driven Innovation and Digital Technologies for Sustainable Transformation in Urban Disaster Risk Management
Audience Prospecting for Dynamic-Product-Ads in Native Advertising
Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data
A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams
Demo Paper: Large Scale Spatial Data Processing With User Defined Filters In BBoxDB
Discovering the interdisciplinary nature of big data research
Elastic complex event processing exploiting prediction
Source Localization and Bayesian leak magnitude inference of sparse wireless sensor data to detect fugitive methane leak
Comprehensive Evaluation of Transformer Models for Complex Information Detection in Unstructured Documents
DNS graph mining for malicious domain detection
Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark
A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
EuropeanLawAdvisor: an open source search engine for European laws
EHRGPT: Leveraging language models for generating synthetic health records
Skill-based Career Path Modeling and Recommendation
The relationship between Twitter sentiment and mobility during the COVID-19 pandemic
Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering
Reliability analysis of an IoT-based smart parking application for smart cities