yusuke1997/dblp-id-title huggingface dataset:
Efficient GPU Training of a Diversified Model Ensemble for the Crowdsensing-based Road Damage Detection Challenge (CRDDC2022)
AnyFI: An anytime frequent itemset mining algorithm for data streams
On the impact of socio-economic factors on power load forecasting
Cybersecurity Knowledge Graph Improvement with Graph Neural Networks
A Verifiable Imputation Analysis for Univariate Time Series and Enabling Package
Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language Understanding
A distributed tree data structure for real-time OLAP on cloud architectures
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning
A unified framework for predicting attributes and links in social networks
Predicting the shape and peak time of news article views
Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks
A typology of blockchain recordkeeping solutions and some reflections on their implications for the future of archival preservation
An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm
Fostering sustainable walkability in remote areas: integrating territorial data sources and AI-based simulation techniques
PACAS: Privacy-Aware, Data Cleaning-as-a-Service
Are We Really Protected? An Investigation into the Play Protect Service
Comparing ML OCR Engines on Texts from 19 th Century Written in the Romanian Transitional Script
Improved Table Retrieval Using Multiple Context Embeddings for Attributes
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution
Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention
Addressing data scarcity in local photovoltaic datasets: a GAN-based workflow
Mobility Scooter User Driving Behavior Classification based on Deep Neural Networks
OpenResume: Advancing Career Trajectory Modeling with Anonymized and Synthetic Resume Datasets
Boldio: A hybrid and resilient burst-buffer over lustre for accelerating big data I/O
LADEMU: a modular & continuous approach for generating labelled APT datasets from emulations
Computing triangle and open-wedge heavy-hitters in large networks
r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows
GAN-based Data Augmentation for Credit Card Fraud Detection
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events
dynnode2vec: Scalable Dynamic Network Embedding
Graph-Based Approach for European Law Classification
A Technical Assessment of Blockchain in Healthcare with a Focus on Big Data
Dynamic feature generation and selection on heterogeneous graph for music recommendation
Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption
Large-scale joint topic, sentiment & user preference analysis for online reviews
Federated Focal Modulated UNet for Cardiovascular Image Segmentation
Gradient Boosted Trees for Privacy-Preserving Matching of Encrypted Images
Q-Learning With Kalman Filters
Combining Hadoop and GPU to preprocess large Affymetrix microarray data
An Intelligent Class - The Sequel: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records
Evaluating different distributed-cyber-infrastructure for data and compute intensive scientific application
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes
Characterization and graph embedding of weighted social networks through Diffusion Wavelets
Applying instance-weighted support vector machines to class imbalanced datasets
A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks
Preserving Cluster Features in Imputing High Dimensional Data with Extensive Missing Rate
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision
BigExcel: A web-based framework for exploring big data in social sciences
IoT-Based COVID-19 Health Monitoring System: Context, Early Warning and Self-Adaptation
Exploiting Data Entropy for Neural Network Compression
A Secure and Privacy-Preserving Framework for Healthcare Data Management Using Deterministic Additive Noise and Differential Privacy in Cloud Environments
Towards a tabular open data search engine for public sector information
A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data
Order Trajectory Analysis in Hospital Information System *
An Agentic AI-based Multi-Agent Framework for Recommender Systems
Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing
Automating the Classification of Requirements Data
Using parallel hierarchical clustering to address spatial big data challenges
BTCI: A new framework for identifying congestion cascades using bus trajectory data
An Informative Base of Positive and Negative Association Rules on Big Data
Influence Maximization in Evolving Multi-Campaign Environments
Back to our data - Experiments with NoSQL technologies in the Humanities
Edge Grading in Trading Cards Using Transfer Learning: Methods, Experiments, and Evaluation
Graph analytics using vertica relational database
Privacy-preserving trajectory classification of driving trip data based on pattern discovery techniques
Detecting Semantic Errors in Tables using Textual Evidence
Forecast UPC-Level FMCG Demand, Part IV: Statistical Ensemble
Consideration of parallel data processing over an apache spark cluster
Augmentation and evaluation of training data for deep learning
Optimizing the MapReduce framework on Intel Xeon Phi coprocessor
Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization
Understanding Bit-Error Trade-off of Transform-based Lossy Compression on Electrocardiogram Signals
Achieving Horizontal Scalability in Density-based Clustering for URLs
On the efficient evaluation of array joins
Evaluating CLIP's Understanding on Relationships in a Blocks World
An Explainable Person-Job Fit Model Incorporating Structured Information
KF K-means: A High Performance K-means Implementation using Kernel Fusion
A comparative sequence analysis of career paths among knowledge workers in a multinational bank
Secure data storage in distributed cloud environments
Defending Evasion Attacks via Adversarially Adaptive Training
Parallel Mining of Correlated Heavy Hitters on Distributed and Shared-Memory Architectures
Comparison of lossless video and image compression codecs for medical computed tomography datasets
Attribute-based proxy re-encryption method for revocation in cloud data storage
Improving Data Science Projects by Enriching Analytical Models with Domain Knowledge
Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach
Random projection based clustering for population genomics
Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity
User Privacy in Skeleton-based Motion Data
An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning
A Modern Approach to Big Provenance
Privacy Preserving Utility Mining: A Survey
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction
Understanding and improving disk-based intermediate data caching in Spark
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations
Power Demand Response Incentive Pricing Model
APP-SON: Application characteristics-driven SON to optimize 4G/5G network performance and quality of experience
Community detection with partially observable links and node attributes
Combining Block Bootstrap with Exponential Smoothing for Reinforcing Non-Emergency Urban Service Prediction
Signed Ego Network Model and its Application to Twitter
Online machine learning for cloud resource provisioning of microservice backend systems
OWL reasoning over big biomedical data
Elastic algorithms for guaranteeing quality monotonicity in big data mining
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping
Federated Learning for Medical Applications - A Study on Performance and Bias with Logistic Regression on Small Datasets
LLU-Swin: Low-Light Image Enhancement with U-shaped Swin Transformer
Anovos: A Scalable Feature Engineering Library
PM2.5 Forecasting Using Pre-trained Components
Uncertainty-Aware Opinion Inference Under Adversarial Attacks
New Finger Photo Databases with Presentation Attacks and Demographics
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis
An FPGA-based low-latency network processing for spark streaming
Spammer Detection Based on Task Completion Time Variation in Crowdsourcing
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
Prequential Model Selection for Time Series Forecasting based on Saliency Maps
Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform
Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices
Maturity Assessment of Appraisal Processes in the AI Age: Ongoing Framework and Measuring Method
Classifying Upper Extremity Motor Function Using Deep Learning and Third-Person Video Data
b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches
COEUS: Community detection via seed-set expansion on graph streams
Not All Malware are Born Equally: An Empirical Analysis of Adversarial Evasion Attacks in Relation to Malware Types and PE Files Structure
When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI
A Bayesian Approach to Residential Property Valuation Based on Built Environment and House Characteristics
Hierarchical feature learning from sensorial data by spherical clustering
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data
Identification of Attack-based Digital Forensic Evidences for WAMPAC Systems
Learning Tabular Embeddings at Web Scale
Exact structure learning of Bayesian networks by optimal path extension
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis
Multimodality Data Fusion for COVID-19 Diagnosis
[Vision Paper] Privacy-Preserving Data Integration
Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap
When do users change their profile information on twitter?
Personalized heart failure severity estimates using passive smartphone data
Calibrating Practical Privacy Risks for Differentially Private Machine Learning
Time Series Synthesis Using the Matrix Profile for Anonymization
Robust Method to Convert HIRAGANA Sequences into Japanese Text
Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study
Evaluating Text Summarization Techniques and Factual Consistency with Language Models
Algorithmic Lending Bias: Evaluating the Fairness of Historical Redlining in Loan Approvals
Improving Taxonomy-based Categorization with Categorical Graph Neural Networks
I4TSPS: a Visual-Interactive Web System for Industrial Time-Series Pre-processing
CIA-EBE: Class Imbalance-Aware Event-Based Embedding for SOC Log Screening
Assessing the Threat Level of Software Supply Chains with the Log Model
Analyzing Code Text Strings for Code Evaluation
Identifying Optimal Window Size Configurations for Big Data Time Series Forecasting
How fast can one scale down a distributed file system?
Large Language Models in Data Governance: Multi-source Data Tables Merging
A Study of a Scalable Distributed Stream Processing Infrastructure Using Ray and Apache Kafka
Application of Machine Learning and Spatial Bootstrapping to Image Processing for Predictive Maintenance
Large-scale learning with AdaGrad on Spark
Mining mobile youth cultures
A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning
Air Pollution Surveillance System: A Big Data Approach to Monitoring Adverse Health Outcomes for Public Health Interventions
Forest fire prevention: Application of mathematical models for the realization of an IoT based monitoring system
A model architecture for Big Data applications using relational databases
Accounting for Cancer Patients with Severe Outcomes: An Anomaly Detection Perspective
Scheduling Large-scale Distributed Training via Reinforcement Learning
A multi-source graph database to showcase a recommender system for dyslexic students
Leveraging Archival Theory to Develop A Taxonomy of Online Disinformation
Combining semantic web and IoT to reason with health and safety policies
GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features
Comprehensive cough data analysis on CODA TB
Twitter Sparrow : Reduce Event Pipeline latency from hours to seconds
Elastic data partitioning for cloud-based SQL processing systems
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
Detecting Malware Activity Using Public Search Data
TAED: Topic-Aware Event Detection
An Architecture for Extracting Key Elements from Legal Permits
Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling
Tiered sampling: An efficient method for approximate counting sparse motifs in massive graph streams
QualiBD: A Tool for Modelling Quality Requirements for Big Data Applications
An Empirical Study of Covid-19 Effect on Health Care Workers' Career Development
Speech Emotion Detection using IoT based Deep Learning for Health Care
GAN Stabilization Under Practical Training Assumptions
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Predicting the daily number of payment transactions in the largest bank in the Netherlands: Application to Banking Data
Real time analytics - State of the art: Potentials and limitations in the smart factory
Authenticating Citizen Journalism Videos by Incorporating the View of Archival Diplomatics into the Verification Processes of Open-source Investigations (OSINT)
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression
City event detection from social media with neural embeddings and topic model visualization
A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment
TRACES: Generating Twitter stories via shared subspace and temporal smoothness
Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis
Study on prediction model of stroke risk based on decision tree and regression model
An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT)
Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution
Uncovering Alzheimer's Disease Biomarkers through Motif-Based Analysis of Synthetic Functional Brain Networks
Scaling up Prioritized Grammar Enumeration for scientific discovery in the cloud
VisualPage: Towards large scale analysis of nineteenth-century print culture
A Sentimental and Semantical Analysis on Facebook Comments to Detect Latent Patterns
Hierarchical Bayesian Modeling for Clustering Sparse Sequences in the Context of User Profiling in Customer Loyalty Program
A Prototype Application to Identify LGBT Patients in Clinical Notes
DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task
Analysis of the changes in listening trends of a music streaming service
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models
SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework
A Methodology of Trusted Data Sharing across Telecom and Finance Sector under China's Data Security Policy
Time-Lapse Image Generation using Image-Based Modeling by Crowdsourcing
Terabyte-sized image computations on Hadoop cluster platforms
Benchmarking of Different YOLO Models for CAPTCHAs Detection and Classification
Towards automatic infrastructure provisioning for highly dynamic streaming applications
Fast access to columnar, hierarchically nested data via code transformation
Learning to Discover Curbside Parking Spaces from Vehicle Trajectories
Automatic localization of casting defects with convolutional neural networks
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
Adapting Knowledge Graphs to Edge Computing Devices
A Framework for Identifying and Prioritizing Data Analytics opportunities in Additive Manufacturing
Agile big data analytics: AnalyticsOps for data science
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery
Experiences with smart city traffic pilot
A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease
Analyzing Mass School Shootings in the U.S. from 2019 to 2024 with Machine Learning
VF2VF: Improving Precision while Maintaining Accuracy
30 Day hospital readmission analysis
Hierarchical collaborative embedding for context-aware recommendations
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing
Scalable link community detection: A local dispersion-aware approach
Ad Recommendation utilizing user behavior in the physical space to represent their latent interest
A Framework for Explainable Text Classification in Legal Document Review
Explaining the product range effect in purchase data
Subspace Clustering with Active Learning
Personalized Multi-task Training for Recommender System
Explainable image analysis for decision support in medical healthcare
Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion
SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot
Optimizing Iterative Algorithms for Social Network Sharding
Big Data for Speech and Language Processing
Robust and Scalable Entity Alignment in Big Data
Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal
A Supervised Learning Approach to Water Quality Parameter Prediction and Fault Detection
On Using Node Indices and Their Correlations for Fake Account Detection
Overcoming Challenges of Synthetic Data Generation
Big data transfer optimization based on offline knowledge discovery and adaptive sampling
Generating large-scale human flow datasets from measured pedestrian movement data and simulation
Toward Efficient Homomorphic Encryption-Based Federated Learning: A Magnitude-Sensitivity Approach
Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection
Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data
Computational Archival Processes & Assessable Sustainability: Challenges and Opportunities
A SHAP-based Active Learning Approach for Creating High-Quality Training Data
Privacy-Preserving Big Data Exchange: Models, Issues, Future Research Directions
The Influence of Social Media Writing on Online Search Behavior for Seasonal Topics: The Sociophysics Approach
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs
Self-adaptive and resilient urban networking infrastructure for disasters and smart city services
BEAM: An Anomaly-Based Threat Detection System for Enterprise Multi-Domain Data
Deep learning acceleration at the resource-constrained tactical edge
The self-avoiding walk-jump (SAWJ) algorithm for finding maximum degree nodes in large graphs
DNA: Dynamic Social Network Alignment
In-memory I/O and replication for HDFS with Memcached: Early experiences
Graph Neural Networks to Predict Sports Outcomes
Optimizing load balancing and data-locality with data-aware scheduling
Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing
LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs
Machine learning, linear and Bayesian models for logistic regression in failure detection problems
Drivable Area Detection Using Deep Learning Models for Autonomous Driving
Leveraging Privacy-Enhancing Technology to Better Serve the United States' Public
Data-Driven Optimization of Taxi Parking Spaces for Strategic Demand Alignment
ISIDE: Proactively Assist University Students at Risk of Dropout
Machine learning and interactive visualization applied to TB-sized images of stem cells
Metadata-less Dataset Recommendation Leveraging Dataset Embeddings by Pre-trained Tabular Language Models
NysAct: A Scalable Preconditioned Gradient Descent using Nyström Approximation
ANNOTATE: orgANizing uNstructured cOntenTs viA Topic labEls
MILMS: A Microservices-based Learning Management System
Distributed file system for rewriting Big Data files using a local-write protocol
Trustworthy Distributed Deep Neural Network Training in an Edge Device Network
Dynamic theme tracking in Twitter
Crystalia: Flexible and Efficient Method for Large Dataset Lineage Tracking
Mining Rare Utility Patterns within Target Items
ParIS: The Next Destination for Fast Data Series Indexing and Query Answering
Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams
Method to generate disaster-damage map using 3D photometry and crowd sourcing
Contrast-resolution Evaluation of Fourier Based High Frame Rate Imaging
A deep learning approach to trespassing detection using video surveillance data
STROOBnet Optimization via GPU-Accelerated Proximal Recurrence Strategies
RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data
Time maps: A tool for visualizing many discrete events across multiple timescales
Optimizing Semantic Joinability in Heterogeneous Data: A Triplet-Based Approach with Pre-trained Deep Learning Models
Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation
Fast and Accurate Tensor Decomposition without a High Performance Computing Machine
OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver Classification
AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale
Emerging Trends in LLM Benchmarking
A Data-Driven Approach for Automated Multi-Site Competitive Facility Location
Spatio-temporal classification at multiple resolutions using multi-view regularization
A Hybrid Approach to Dynamic Enterprise Data Platform
Magnol.Ai - an Internet of Medical Things (IoMT) Platform for Digital Health Research
Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models
Forensic Intelligence Derived from Crime Scene Evidence Using Text Embeddings
Quantifying skill relevance to job titles
Sorting the Digital Stream: Big Data-driven Insights into Email Classification for Spam and Ham Detection
Political polarization in social media: Analysis of the "Twitter political field" in Japan
Large-Scale Causality Discovery Analytics as a Service
Improving the Text Convolution Mechanism with Large Language Model for Review-Based Recommendation
MUSCAT: Multilingual Rumor Detection in Social Media Conversations
An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs
Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability
Ternary Logit Distillation via Non-Target Classes Decomposition
A Method to Predict Semantic Relations on Artificial Intelligence Papers
Building a rigorous foundation for performance assurance assessment techniques for "smart" manufacturing systems
LaHiIO: Accelerating Persistent Big Data Machine Learning via Latency Hiding IOs
Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's Treatise
Algorithms on Compressed Time-Evolving Graphs