yusuke1997/dblp-id-title huggingface dataset:
Egocentric storylines for visual analysis of large dynamic graphs
Investigation of forecasting methods for the hourly spot price of the day-ahead electric power markets
MediRAG: Secure Question Answering for Healthcare Data
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Exploring Power Outage Prediction Using Weather and Socioeconomic Data in the Southeastern Part of the United States
A Model for Data Processing on Warehouse-Scale Computers
Improving item-based recommendation accuracy with user's preferences on Apache Mahout
Approximate Query Processing for Big Data in Heterogeneous Databases
A Decision Support System for Personality Based Phishing Susceptibility Analysis
Adaptive Knowledge Transfer on Evolving Domains
A data-driven approach to help understanding the preferences of public transport users
Suspicious Network Event Recognition Using Modified Stacking Ensemble Machine Learning
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
3D-CLoST: A CNN-LSTM Approach for Mobility Dynamics Prediction in Smart Cities
Power efficient big data analytics algorithms through low-level operations
Rental NFT Protocol With Advanced Rewards Splitting
Single Image Dehazing via Lightweight Multi-scale Networks
Idempotence-Constrained Representation Learning: Balancing Sensitive Information Elimination and Feature Robustness
Very fast frequent itemset mining: Simplicial complex methods (Extended abstract)
An Application of Localized Model Explainability: Identifying Key Disparities in Social Determinants of Health in Food Deserts
vNM Stable Sets and Aumann-Drèze-Shapley Value in Patent Licensing of Cost-Reducing Technologies: Asymptotic Results in General Cournot Markets
A Study of Cantonese Covid-19 Fake News Detection on Social Media
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines
Spatio-temporal indexing in non-relational distributed databases
Peace Speech Identification Using ABBYY Fine Reader and HathiTrust
Vision Paper: Advancing of AI Explainability for the Use of ChatGPT in Government Agencies - Proposal of A 4-Step Framework
High volume geospatial mapping for internet-of-vehicle solutions with in-memory map-reduce processing
Learning on Health Fairness and Environmental Justice via Interactive Visualization
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights
Privacy Preserving Fisher's Exact Test on Genomic Data
Critical enablers of sustainable water management (SWM): Text evidences from 10 countries
Predicting Individual-Level Call Arrival from Online Account Customer Activity
A Genetic Optimization Physical Planner for Big Data Warehouses
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections
A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
Next Topic Recommendation for Influencers on Social Media
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma
Exploration of links between anxiety purchases, deprivation and personality traits
Inspection of unexpected defective products by semi-supervised learning based on a probability density function in high-yield food production
ORANGE: Spatial big data analysis platform
LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
Predicting Mental Health Problems with Personality, Behavior, and Social Networks
How Wildfire Wreaked Havoc in California: Impact of evacuation on residents?
Hierarchical Federated Learning with Privacy
Performance of graph reconstruction method for large-scale web graph analysis
Analysis of twitter messages about the osaka metropolis plan in Japan
Semi-supervised Embedding for Scalable and Accurate Time Series Clustering
iEnvironment: A software platform for integrated environmental monitoring and modeling of surface water
Performing literature review using text mining, Part III: Summarizing articles using TextRank
Beyond Essentials: Nuanced and Diverse Text-to-video Retrieval
SARGS method for distributed actionable pattern mining using spark
Node Context Selection in Transformer-Based Graph Representation Learning Models
The Role of Multi-Criteria Decision-Making in a Sentry Agents Framework Utilizing Uncertainty of Information
Granular formalization of medical diagnostic process
Online Adaptive Mahalanobis Distance Estimation
Interacting Evolution of Modeling and Data Exchange : A Case for Predicting Chemical-Protein Interactive Visualization
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques
Crash prediction for a French highway network with an XAI-informed Bayesian hierarchical model
IoT-based Multi-view Machine Vision Systems
Biclustering using Spark-MapReduce
Big data analytics for empowering milk yield prediction in dairy supply chains
FVec2vec: A Fast Nonlinear Dimensionality Reduction Approach for General Data
Model-as-a-Service (MaaS): A Survey
Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data
Enhancing Digital Learning: A Usability Evaluation of the Canvas LMS at the University of North Texas A Pilot Study at the University of North Texas
Towards High-Quality Big Data: Lessons from FIT
Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds
When do luxury cars hit the road? Findings by a big data approach
OReONet: Deep convolutional network for oil reservoir optimization
Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data
Big data in genomics: An overview
Unveiling Conversational Patterns: Intent Classification and Clustering in Reddit's Firearm Trade Community
Exploring archives with probabilistic models: Topic modelling for the valorisation of digitised archives of the European Commission
Performance Enhancement of Malware Classifiers Using Generative Adversarial Networks
A Stylized Presence Detection System in the Era of Blockchain and Big Data
DxNAT - Deep neural networks for explaining non-recurring traffic congestion
Finding Data Should be Easier than Finding Oil
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data
Enterprise-wide Machine Learning using Teradata Vantage: An Integrated Analytics Platform
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions
Weather radar echo prediction method based on recurrent convolutional neural network
Energy information collection mechanism using big data correlation map
AI Legal Counsel to train and regulate legally constrained Autonomous systems
Blockchain Based Farm-to-Fork Supply Chain Tracking
Semantics-Aware Path Ranking On Information Extracted from Knowledge Graphs
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks
Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning
Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads
Purchase Prediction in Free Online Games via Survival Analysis
Data Transformation Acceleration using Deterministic Finite-State Transducers
A Novel Method to Enable Transfer Learning of Structural Graph Representations
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?
RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data
Cyberbully Detection Using BERT with Augmented Texts
Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data
Two-mode data distribution scheme for heterogeneous storage in data centers
Aggregation Delayed Federated Learning
DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure
Learning Framework of Entity and Entity Type Composition Representation for Knowledge Graph Completion
The Application of Long Short-Term Memory and Transformers for Music Generation
Predicting Air Ticket Demand using Deep Neural Networks
ACURDION: An adaptive clustering-based algorithm for tracing large-scale MPI applications
Parallel Breadth First Search on GPU clusters
Walk2Privacy: Limiting target link privacy disclosure against the adversarial link prediction
What is Good Feedback in Big Data Projects for Cyberinfrastructure Diffusion in e-Science?
Linking an Asset and a Domain Specific Ontology for a Simple Asset TimeSeries Application
Hobbits: Hadoop and Hive based Internet traffic analysis
Digital Twin supporting Blockchain in construction supply chain: from bio-based materials to energy efficiency and L.C.A.
Self-supervised Hierarchical Graph Neural Network for Graph Representation
Big data on a few pixels
Unifying the open big data world: The possibilities∗ of apache BEAM
An initial study of predictive machine learning analytics on large volumes of historical data for power system applications
Verification of Data Similarity using Metadata on a Data Exchange Platform
Gender Inequality in Vehicle Safety: Insights from Logistic Regression and Random Forest Analysis
A Real-Time Whole Page Personalization Framework for E-Commerce
Do's and Don'ts of Distributed Intrusion Detection for Industrial Network Topologies
Spatio-temporal similarity search method for disaster estimation
Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events
Tensor Decision Trees For High-Resolution Imaging Data
Defining a Metric Space of Host Logs and Operational Use Cases
Toward Image Privacy Classification and Spatial Attribution of Private Content
Adaptively selecting occupations to detect skill shortages from online job ads
Divide-and-conquer strategies for large-scale simulations in R
Topological Learning for Motion Data via Mixed Coordinates
Adaptive neuron apoptosis for accelerating deep learning on large scale systems
Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds
Improving conversion rate prediction via self-supervised pre-training in online advertising
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Automatic Prompt Generation and Optimization by Leveraging Large Language Models to Enhance Few-Shot Learning in Biomedical Tasks
A big data analytics framework for scientific data management
HyGN: Hybrid Graph Engine for NUMA
Big data analytics as-a-service: Issues and challenges
Low redundancy feature selection with grouped variables and its application to healthcare data
WiSer: A Highly Available HTAP DBMS for IoT Applications
Deep Tensor Factorization for Multi-Criteria Recommender Systems
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting
ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science
Toward precise user-topic alignment in online social media
Object Detection by a Super-Resolution Method and a Convolutional Neural Networks
Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data
2D-ATT: Causal Inference for Mobile Game Organic Installs with 2-Dimensional Attentional Neural Network
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
Voice of Employee: Impact of Online Reviews on Company and Job Seeker Matching Performance
Enhancing Healthcare Services through User-Centered Data Collection and Analysis
Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path
Computing fuzzy rough approximations in large scale information systems
TripTracker: Unsupervised Learning of Fishing Vessel Routine Activity Patterns
Predicting Clinical Deterioration in Hospitals
Towards Robust mmWave-based Human Activity Recognition using Large Simulated Dataset for Model Pretraining
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps
Deep learning enabled national cancer surveillance
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization
Efficient multiple scale kernel classifiers
Conditional Graph Regression for Complex Chemical Systems with Heterogeneous Substructures
Intelligence Retrieval from a Centralized IoT Network
Anaphoric Ambiguity Resolution in Software Requirement Texts
Topical behavior prediction from massive logs
Twitter Bot Detection Through Unsupervised Machine Learning
Efficient traffic speed forecasting based on massive heterogenous historical data
Connection discovery using shared images by Gaussian relational topic model
On the Evaluation and Deployment of Machine Learning Approaches for Intrusion Detection
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Multilingual Student Performance Prediction Using Llama 3
Developing an Architecture for IoT Interoperability in Healthcare: A Case Study of Real-time SpO2 Signal Monitoring and Analysis
Business information modeling: A methodology for data-intensive projects, data science and big data governance
CNN Model & Tuning for Global Road Damage Detection
A Scalable Multi-factor Fault Analysis Framework for Information Systems
Octopus: A multi-job scheduler for Graphlab
Identifying the Relationship between Precipitation and Zika Outbreaks in Argentina
Personalized travel mode detection with smartphone sensors
CART-OD: Optimizing Object Detection Models via Correlation-Aware Prediction
Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data
Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base
Privacy-Preserving Statistical Analysis of Health Data Using Paillier Homomorphic Encryption and Permissioned Blockchain
Supporting Data Compression in PnetCDF
From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA
Evaluation of distributed processing of caffe framework using poor performance device
Evaluating Speech Emotion Recognition through the lens of CNN & LSTM Deep Learning Models
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence
Infinite Dropout for training Bayesian models from data streams
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information
Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data
LDA model for privacy access based on trajectories and POIs
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing
Premenstrual Syndrome Detection Based on Granular Computing and AI in Home Environment
Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction
A Fire Prevention By Abnormal Heat Generation Detection Using LSTM
DistDNAS: Search Efficient Feature Interactions within 2 Hours
Crowd control and evacuation guidance based on simulations
The cybernetics thought collective project: Using computational methods to reveal intellectual context in archival material
The difference-of-datasets framework: A statistical method to discover insight
Enhancing the Scalability and Performance of Iterative Graph Algorithms on Apache Storm
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation
Deep Learning based Driving Posture Stability Analysis for People with Mobility Challenges
Data driven predictive analytics for a spindle's health
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
To test, or not to test: A proactive approach for deciding complete performance test initiation
Predicting Cardiac Complications of Myocardial Infarction Patients Using Machine Learning
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery
Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs
Visual Data Engineering for Conflict and Terrorism Prediction
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains
A Non-linear Function-on-Function Model for Regression with Time Series Data
Validation of an Alternative Neural Decision Tree
Graph Neural Networks for COVID-19 Drug Discovery
RAVEN: Web-based smart home exploration system through interactive pattern discovery
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups
Towards Self-Tuning Parameter Servers
Analysis of Human Trafficking in North Carolina Based on Criminal Records: A Framework to Measure Human Trafficking Trends
An Approach to Combining Medical Device Fault Analysis with Trusted Computing Forensics
A Framework for IoT Data Acquisition and Forensics Analysis
A clustering based scalable hybrid approach for web page recommendation
Recognition of Daily and Sports Activities
Communication-Efficient Distributed LLM Training with Adaptive Traffic Control
Searching inter-disciplinary scientific big data based on latent correlation analysis
Towards Power Efficiency in Deep Learning on Data Center Hardware
Computing Group-By and Aggregates on Massively Parallel Systems
Symmetric repositioning of bisecting K-means centers for increased reduction of distance calculations for big data clustering
An Augmentation-agnostic Semantic Preserving Technique for Data Generation
Programming Languages in Data Science: a Comparison from a Database Angle
Ill-fated interactions: modeling complaints on a food waste fighting platform
Road Damage Detection using YOLO with Image Tiling about Multi-source Images
Data driven modeling for energy consumption prediction in smart buildings
GRAPHiQL: A graph intuitive query language for relational databases
On-line learning gossip algorithm in multi-agent systems with local decision rules
Visualization Techniques for Large-Scale Monte Carlo Simulation
Joint Utility and Frequency for Pattern Classification
Zero-Shot Learning for Code Explanation Using LLM
Association analysis of supply chain risk and company sales
Optimizing the Descendant-Aware Clustering Parameters
DeepMove: Learning Place Representations through Large Scale Movement Data
A Big Data Approach to Augmenting the Huff Model with Road Network and Mobility Data for Store Footfall Prediction
Contextual verification for false alarm reduction in maritime anomaly detection
Generating Unified Famous Objects (UFOs) from the classified object tables
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
Density-Based Prototypical Contrastive Learning on Visual Representations
Editors-in-the-loop News Article Summarization Framework with Sentence Selection and Compression
Improving Medical Imaging Model Calibration through Probabilistic Embedding
An intelligent machine monitoring system for energy prediction using a Gaussian Process regression
SIMCal: A High-Performance Toolkit For Calibrating Traffic Simulation
Forensics analysis of Wi-Fi communication traces in mobile devices
Leveraging Graph Databases for Enhanced Healthcare Data Management: A Performance Comparison Study
Comparison of Teenagers' Writing Using Word Clouds and Analyzing Engines
Scaling Siamese Neural Network for Cross-Domain Few Shot Learning in Medical Imaging
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment
Contextual Price Features for e-Commerce Search Ranking
Collecting Domain-Relevant Tweets: Creation and Application of a New Framework
A comprehensive evaluation of NoSQL datastores in the context of historians and sensor data analysis
Towards scalable kernel machines for streaming data analytics
Position-based Hash Embeddings For Scaling Graph Neural Networks
Privacy-preserving string search for genome sequences with FHE bootstrapping optimization
Towards a big data theory model
A Proposal of Data Collection by Mobility Users on Real-time for e-Bike Navigation System
Distributed storage evaluation on a three-wide inter-data center deployment
A MapReduce based k-NN joins probabilistic classifier
Analysis of User Dwell Time on Non-News Pages
Layout-aware I/O Scheduling for terabits data movement
Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud
Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors
Perldoop: Efficient execution of Perl scripts on Hadoop clusters
Statistical Correction of Average Customer Ratings for Product Ranking
Enhanced Variational U-Net for Weather Forecasting
Q95-squared, a tuple of singular metrics to define histogram quality for a database system
Non-uniform Sampling Methods for Large Itemset Mining
Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors
A data-driven congestion diffusion model for characterizing traffic in metrocity scales
Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction
Finding Your Way Through the Jungle of Big Data Architectures
GraphAide: Advanced Graph-Assisted Query and Reasoning System
Improved data exploitation for DKIST high-resolution solar observations
Learning Data Transformations with Minimal User Effort
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
A Subject Experiment of an Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's Revenue
PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs
A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers
Semantics Preserving Emoji Recommendation with Large Language Models
MM360: A GPS-assisted 360-degree video sharing system for participatory events
Pattern Recognition and Reconstruction: Detecting Malicious Deletions in Textual Communications
DifStoryGen: Diffusion-Based Storytelling Algorithm with Distributed Attention
STIPA: A Memory Efficient Technique for Interval Pattern Discovery
SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing
Method for Selecting a Data Imputation Model Based on Programming by Example for Data Analysts
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams
Sentiment-Aware and Personalized Tour Recommendation
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases
High-Resolution Poverty Mapping with Foundation Models: A Cost-effective Approach from Street Views to Satellite Images
A Fast Video Image Detection using TensorFlow Mobile Networks for Racing Cars
Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste
[Vision Paper] Digital Twin System - From Frameworks to a Comprehensive System
Scalable spam classifier for web tables
BigFUN: A performance study of big data management system functionality
EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud
An Application of the Deep Belief Networks to the prediction of massive Solar Flare Occurrence Using SDO/HMI Data
Real time processing of streaming and static information
A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System
Predicting flight arrival times with a multistage model
RASP: Real-time network analytics with distributed NoSQL stream processing
FNDaaS: Content-agnostic Detection of Websites Distributing Fake News
Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Potentiality of healthcare big data: Improving search by automatic query reformulation