yusuke1997/dblp-id-title huggingface dataset:
Statistical Reasoning of Zero-Inflated Right-Skewed User-Generated Big Data A/B Testing
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes
Apptainer-Based Containers for Legacy and Platform Dependent Machine Learning Applications on HPC Systems
Bayesian model for Fairness in sampling from clustered data and FP-FN error rates
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems
A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDN
Enhancing Fairness in Medical Image Classification: A Comparative Study of Convolutional Neural Networks and Adversarial Learning
Is Re-ranking Useful for Open-set Person Re-identification?
REFORM: Fast and Adaptive Solution for Subteam Replacement
Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies
Reliability Analysis of M2M Cyclic Data Transfer based on ad-hoc Wireless P2P Link
A Comparative Analysis on Leveraging K-Nearest Neighbours for Accurate Stock Price Forecasting
Using Patent Data and Language Models to Analyze Company Advantages and Reduce Attorney Workload
Malicious URL filtering - A big data application
Mining High-Utility Sequential Patterns from Big Datasets
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects
Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands
Partially training, isolating and unlearning, mitigating backdoor attack
Correlation-based performance analysis for full-system MapReduce optimization
A Hybird Method with Gravity Model and Nearest-Neighbor Search for Trip Destination Prediction in New Metropolitan Areas
T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback Systems
Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off Analysis
Parallel gathering discovery over big trajectory data
A GA-based Framework for Mining High Fuzzy Utility Itemsets
Agrios: A hybrid approach to big array analytics
Effective Deep Learning-Based Ensemble Model for Road Crack Detection
The Skyline Operator to Find the Needle in the Haystack for Automated Clustering
On the implementation of Zigzag codes for distributed storage system
Iteratively refining SVMs using priors
A machine-learning pipeline for merging and georeferencing very large archives of historical aerial photographs
Neighborhood Preserving Embedding via Capsules for Collaborative Filtering
Comparing Inexact String Matching Methods for Large Scale Entity Matching
Cluster-based Data Reduction for Persistent Homology
Large scale support vector regression for aviation safety
Learning Latent Road Correlations from Trajectories
FRISTS: High-Performing Interpretable Medical Prediction
Active learning without unlabeled samples: generating questions and labels using Monte Carlo Tree Search
Identifying Social Media Content Supporting Proud Boys
Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series
Hybrid datafication of maintenance logs from AI-assisted human tags
A Time Series Analysis of the IT Stock Market during the 2007 - 2009 Recession
z-anonymity: Zero-Delay Anonymization for Data Streams
Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments
Comparison of eager and quorum-based replication in a cloud environment
Sharing best practices for the implementation of Big Data applications in government and science communities
Evaluation of K-means data clustering algorithm on Intel Xeon Phi
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems
Heuristics Significance of Neuro-Ensemble-based Time Series Classification
AnyStreamKM: Anytime k-medoids Clustering for Streaming Data
Multi Scale Graph Wavenet for Wind Speed Forecasting
A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management
Minimizing data movement through query transformation
Drug-Drug Interaction Prediction: a Purely SMILES Based Approach
External Content-dependent Features for Web Credibility Evaluation
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification
Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations
Data Imputation Method based on Programming by Example: APREP-S
Kernel bandwidth selection for SVDD: The sampling peak criterion method for large data
A scalable implementation of information theoretic feature selection for high dimensional data
On the Integration of Course of Action Playbooks into Shareable Cyber Threat Intelligence
KDD meets Big Data
Open Science and Research Data Management: A FAIR European Postgraduate Programme
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models
Finding Evidences by Crowdsourcing
Scaling deep learning data management with Cassandra DB
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks
Benchmarking HOAP for Scalable Document Data Management: A First Step
Enhancing Federated Learning for Confidential Sensor Data Aggregation in IoMT Environments
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration
Improving CLIP for Biomedical Retrieval: A Multi-Margin Contrastive Loss Approach
User-centered Information Retrieval using Semantic Multimedia Big Data
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease
Matrix Profile Index Approximation for Streaming Time Series
Building Wrangler: A transformational data intensive resource for the open science community
A Unified Model for Bid Landscape Forecasting in the Mixed Auction Types of Real-Time Bidding
WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling
Geographic Reason by Hourly Population of 500-Meter-Grid Statistics over Japan Why Tokyo Seemed to Fail Eradicating COVID-19 in Mid 2020
Audio IoT Analytics for Home Automation Safety
A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport
Another Perspective on Ensemble Methods for Automatic Keyword Extraction
A scalable model for tracking topical evolution in large document collections
Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact
CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised Learning
Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction
Energy Maestro-Transactive Energy Mechanism
Discriminative Pattern Mining for Natural Language Metaphor Generation
Discovery of User Preferences from Big Geospatial Data Using Topic Models
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018
Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis
Skew-Aware Collective Communication for MapReduce Shuffling
Workload-aware aggregate maintenance in columnar in-memory databases
In-situ visualization and computational steering for large-scale simulation of turbulent flows in complex geometries
Deep Learning Predicts Protein-Ligand Interactions
AutoAudit: Mining Accounting and Time-Evolving Graphs
Improving Arabic sentiment analysis with sentiment-specific embeddings
Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles
The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews
Breaking the Arc: Risk control for Big Data
Effects of Data Reduction Methods and Rates on Classifiers
DAOC: Stable Clustering of Large Networks
Enhancing science support in SQL
Detecting changes in streaming data with information-theoretic windowing
Some examples of big data in railroad engineering
ORIGIN: Non-Rigid Network Alignment
Effective and efficient graph augmentation in large graphs
A Semantic Approach to Identifier Management in Engineering Systems
Towards understanding word embeddings: Automatically explaining similarity of terms
Innovation in big data analytics: Applications of mathematical programming in medicine and healthcare
Visual computation and simulation of path loss effects on tactical networks in urban canyon
Application of big data analytics in process safety and risk management
AI Assisted Workflow for Set-list Preparation with Loops for Live Musicians
Progression analysis of signals: Extending CRISP-DM to stream analytics
Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis
Bad big data science
Optimizing performance of sentiment analysis through design of experiments
An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction
Optimizing Liquid Neural Networks: A comparative study of LTCs and CFCs
An Empirical Study on the Power Consumption of LLMs with Different GPU Platforms
Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud
OPAL: High performance platform for large-scale privacy-preserving location data analytics
Evaluating Anti-Virus Effectiveness in Linux
A language-agnostic approach to exact informative tweets during emergency situations
Educational Digital Twin: Tackling Complexity in Educational Big Data
When computing meets heterogeneous cluster: Workload assignment in graph computation
Recommending similar items in large-scale online marketplaces
MC 2 : Unsupervised Multiple Social Network Alignment
Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers
On the use of Machine Learning to Discover Novel Donor-Acceptor Pairs For Organic Photovoltaic Devices
EFD: A New Benchmark for Load Identification and Energy Disaggregation
Correlation and pattern detection in event networks
Data infrastructure for integrating clinical data in the large-scale international ORCHESTRA cohort: from data import to federated analysis
Trusted Compliance Enforcement Framework for Sharing Health Big Data
Data Structure Visualization on the Web
A flexible QoS fortified distributed key-value storage system for the cloud
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information
lexiDB: A scalable corpus database management system
The Bayesian estimators of polytomous item response theory models with approximated conditional likelihood and their mathematical optimalities
Estimation of distance-based metrics for very large graphs with MinHash Signatures
Dimension Estimation using Second Order data in Finance
Preserving Privacy Integration and Mining for Big Temporal Co-occurrence Patterns
Towards Trustworthy Graph Neural Networks and Their Applications in Recommender Systems
ExNav: An Interactive Big Data Exploration Framework for Big Unstructured Data
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs
Deep Reinforcement Learning based Data Placement optimization in Data Center Networks
Toward Simple & Scalable 3D Cell Tracking
Musical Scene Detection in Comics: Comparing Perception of Humans and GPT-4
Combining Geometric and Topological Information for Boundary Estimation
FEZ: Flexible and Efficient Zoom-In for Ultra-Large Image Classification
Privacy and Security of Mobile Users in Smart Cities: A Reference Architecture
TensorBank: Tensor Lakehouse for Foundation Model Training
Securing Pseudonym Schemes for Vehicular Privacy
Interpretable Unsupervised Log Anomaly Detection
Causal Maps for Multi-Document Summarization
Web-based visual analytics for extreme scale climate science
Self-Supervised Person Re-Identification with Channel-Wise Transformer
Distributed Incremental Machine Learning for Big Time Series Data
Real-time full correlation matrix analysis of fMRI data
Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks
Dynamic Insights: Well-being Activity Infused Fine-Tuning of Large Language Models
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs
Breaking the U: Asymmetric U-Net for Object Recognition in Muon Tomography ☆
Preventing litigation with a predictive model of COVID-19 ICUs occupancy
A Secure and Trustworthy Biometric Data Ecosystem for Cross-border Suspect Identification
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets
Would a File by Any Other Name Seem as Malicious?
Patient-record level integration of de-identified healthcare big databases
Mining Concepts for a COVID Interface Terminology for Annotation of EHRs
Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System
Architectural considerations for highly scalable computing to support on-demand video analytics
Anticipating human errors from periodic big survey data in nuclear power plants
Road Damage Detection Using YOLO with Smartphone Images
Worker Classification based on Answer Pattern for Finding Typical Mistake Patterns
Trust Inference for Rideshare through Co-training on Social Media Data
A Proposed Personal Data Sovereignty Inter-Organizational Governance Framework for Public Health Research
SuperBlocking: An Efficient Blocking Technique for Record Linkage
Sequential randomized matrix factorization for Gaussian processes
Operator as a Service: Stateful Serverless Complex Event Processing
DyBED: An Efficient Algorithm for Updating Betweenness Centrality in Directed Dynamic Graphs
Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport Ticketing
Mining local gazetteers of literary Chinese with CRF and pattern based methods for biographical information in Chinese history
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning
Scalable preference queries for high-dimensional data using map-reduce
Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts
Energy efficiency driven by a storage model and analytics on a multi-system semantic integration
Personalized Federated Learning by Domain-Aware Network Pruning and Re-growth
Identifying and Understanding Business Trends using Topic Models with Word Embedding
MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports
Task-based recommendation on a web-scale
Hypergraph Neural Networks for Time-series Forecasting
Regression and Hidden Markov Models for Gold Price Prediction
A Model Checking based Proposal for Mobile Colluding Attack Detection
SWAG: Item Recommendations using Convolutions on Weighted Graphs
Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake News
Research challenges in dynamic policy-based autonomous security
Map4OLAP: A web-based tool for interactive map visualization of OLAP queries
Semantic Question Answering: Deep Learning and NoSQL Solution for the Medical Domain
Dynamic community detection based on game theory in social networks
Towards a semantic keyword search over industrial knowledge graphs (extended abstract)
A hybrid model using LSTM and decision tree for mortality prediction and its application in provider performance evaluation
Managing the academic data lifecycle: A case study of HPCC
LDI: Learned Distribution Index for Column Stores
Mining top-k Popular Datasets via a Deep Generative Model
Forecasting COVID-19 Hotspots in Florida Public Schools: A Machine Learning Approach
Sustainability of Energy Saving in Healthcare IoT Devices
Discovering Entity Profiles Candidate for Entity Resolution on Linked Open Data Halal Food Products
ELFS: Entropy-based Loss Function Selection for Global Model Accuracy in Federated Learning
The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes
Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural Network for Technology-Assisted Review
Map-scan node accelerator for big-data
On the use of shared storage in shared-nothing environments
Drug target path discovery on semantic biomedical big data
Performance evaluation of 3D point cloud matching with short-range dense 2D rang
FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems
TreeBERT: Advanced Representation Learning for Relation Extraction
Workload-driven adaptive data partitioning and distribution - The Cumulus approach
IDGMS: a One-Stop Graph Mining System for Infectious Diseases
Batch-mode active learning for technology-assisted review
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering
Decoding Narratives: Towards a Classification Analysis for Stereotypical Patterns in Italian News Headlines
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
Efficient large scale distributed matrix computation with spark
Low-rank singular value thresholding for recovering missing air quality data
SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information
Predicting Potential School Shooters from Social Media Posts
A timeline visualization system for road traffic big data
A General Overview of Privacy-Preserving Big Data Management and Analytics Models, Methods and Techniques in Specific Domains: Static and Dynamic Distributed Environments
Detecting environmental disasters in digital news archives
Interpretation of Sentiment Analysis with Human-in-the-Loop
Adaptive Time, Monetary Cost Aware Query Optimization on Cloud Database Systems
A new heuristic algorithm for fast k-segmentation
A Novel Hybrid Approach with A Decomposition Method and The RVFL Model for Crude Oil Price Prediction
Considerations and recommendations for data availability for data analytics for manufacturing
Construction Worker Health and Safety Monitoring System Using Brainwave and Pollution Data
A Review of Recent Advances in Machine Learning Approaches for Cyber Defense
Meta-analysis of big data security and privacy: Scholarly literature gaps
dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems
Integrating 'Big' geoscience data into the petascale national environmental research interoperability platform (NERDIP): Successes and unforeseen challenges
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology
Distributed dynamic elastic nets: A scalable approach for regularization in dynamic manufacturing environments
Preliminary big data in a 5G test network
Privacy-aware filter-based feature selection
Nearest Neighbor Subsequence Search in Time Series Data
Enhanced user data privacy with pay-by-data model
A selective checkpointing mechanism for query plans in a parallel database system
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems
HIG - An in-memory database platform enabling real-time analyses of genome data
An Empirical Study on Transfer Learning for Privilege Review
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting
CUP: Cluster Pruning for Compressing Deep Neural Networks
Why is the User Interface a Dark Pattern?: Explainable Auto-Detection and its Analysis
Federated Learning under Sample Selection Heterogeneity
Towards a Model-Driven Datacube Analytics Language
Scalable and robust key group size estimation for reducer load balancing in MapReduce
Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction
Deep Reinforcement Learning based Recommender System with State Representation
Linking many unusual co-incidences
A novel approach to determine docking locations using fuzzy logic and shape determination
Data mining of electronic structure of proteins and quantum evolution
Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics
BRICS: Blockchain-based Resilient Information Control System
Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy?
Peers and Stars: the role of gender among coinventors
Byakko: Automatic Whitelist Generation based on Occurrence Distribution of Features of Network Traffic
Automated Guided Vehicles Challenges for Artificial Intelligence
Distributed Reverse DNS Geolocation
Increasing the accessibility to Big Data systems via a common services API
Big data machine learning using apache spark MLlib
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture
Adaptive file management for scientific workflows on the Azure cloud
Disentangled Conditional Variational Autoencoder for Unsupervised Anomaly Detection
Structured Dictionary Learning with Block Diagonal Regularization for Image Classification
F-TBDA: A Frequency-Based Temporal Big Data Analytics Technique for Mining and Analyzing Quality-Of-Life Indicators of Cancer Patients
High-Resolution Road Vehicle Collision Prediction for the City of Montreal
Performance of Data Model over Computational Power in CDP Platforms
Vertica Flattened Tables and Live Aggregate Projections: A Column-based Alternative to Materialized Views for Analytics
Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds
The architecture of distributed storage system under mimic defense theory
A Visualized Malware Detection Framework with CNN and Conditional GAN
Functional Ball Dropping: A superfast hypergraph generation scheme
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network
Clustering MBTI Personalities With Graph Filters And Self Organizing Maps Over Pinecone
An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data
Generalization in Cardiac Image Segmentation
Revenue maximization for telecommunications company with social viral marketing
Fast Sentence Classification using Word Co-occurrence Graphs *
YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management
Image Geolocation by Non-Expert Crowd Workers with an Expert Strategy
A Rule-Based Holistic Approach for Turkish Aspect-Based Sentiment Analysis
Fall recognition using wearable technologies and machine learning algorithms
Low-rank Defenses Against Adversarial Attacks in Recommender Systems
Linear-complexity relaxed word Mover's distance with GPU acceleration
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
Forecasting and Anomaly Detection on Application Metrics using LSTM
Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic
DKT: A First Look at Dynamic Kernel Tuning for Pedestrian Attribute Recognition
Local Search for Group Closeness Maximization on Big Graphs
Similarity-based Historical Input Selection to Predict Irregular Holiday Traffics in Real-time
A method for cross-document narrative alignment of a two-hundred-sixty-million word corpus
Efficient Data-parallel Distributed DNN Training for Big Dataset under Heterogeneous GPU Cluster
Geospatial Data and Multimodal Fact-Checking for Validating Company Data
Polystore mathematics of relational algebra
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control
Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams
A Visual Analytics Framework for Distributed Data Analysis Systems
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction
Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax
1A study on big data I/O performance with modern storage systems
An Unsupervised Learning Based Approach for Mining Attribute Based Access Control Policies