yusuke1997/dblp-id-title huggingface dataset:
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection
Eliminating Data Collection Bottleneck for Wake Word Engine Training Using Found and Synthetic Data
External memory pipelining made easy with TPIE
LIFE: Leader-driven Hierarchical & Inclusive Federated Learning
Analysis of Hurricane Matthew 2016 Data to Estimate Airline Passengers Disruption
Explingo: Explaining AI Predictions using Large Language Models
Historic Black Lives Matter: Recovering Hidden Knowledge in Archives through Interactive Data Visualization
Optimization of Dangerous Goods Stowage: A Hybrid Approach between Faster R-CNN and Coronavirus Metaheuristic
Mining On-shelf High-utility Quantitative Itemsets
A contention aware hybrid evaluator for schedulers of big data applications in computer clusters
Comparative Evaluation of Network-Based and NLP-based Methods for Detecting Conspiracy Theory Communities on YouTube
Do we trust image measurements? Variability, accuracy and traceability of image features
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling
Measuring inter-site engagement
Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex
AMINet: An Industrial Honeynet for AMI Systems
Logit-based Uncertainty Measure in Classification
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets
An Automatically Inferable Format for Creating Big Data of Morals, Ethics and ORDER OF VALUES Written Almost in Natural Language
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview
GrC-based statistic optimization algorithm for big truth table
Real-Time Periodic Advertisement Recommendation Optimization using Ising Machine
At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning
Specimen Outlining: A Computational Archival Science Approach
End-to-End Joint Opinion Role Labeling with BERT
Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction
Detecting two types of seasonal words using simple autocorrelation analysis
Online social network evolution: Revisiting the Twitter graph
Extracting Crime Prosecution Elements based on Neural Machine Reading Comprehension Model
A Context-Aware Method for Indexing Large-Scale SpatioTemporal Data
On Generating Dominators of Customer Preferences
RuleMR: Classification rule discovery with MapReduce
Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery
NTU-DensePose: A New Benchmark for Dense Pose Action Recognition
GraSSNet: Graph Soft Sensing Neural Networks
Automating Tiny ML Intelligent Sensors DevOPS Using Microsoft Azure
Fast and space-efficient secure frequent pattern mining by FHE
Power of Sentence Transformers in Record Linkage
Identifying Implicit Requirements in SRS Big Data
Heterogeneous Graph Matching Networks: Application to Unknown Malware Detection
Big data approach in healthcare used for intelligent design - Software as a service
Drift-aware Anomaly Detection for Non-stationary Time Series
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery
Unveiling engagement in virtual classrooms: a multimodal analysis
Humor Level Recognition Based on Prompt Learning and Contrastive Learning
Multilingual Hate Speech Detection: Comparison of Transfer Learning Methods to Classify German, Italian, and Spanish Posts
Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDA
Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data
Feature Integration Strategies for Multilingual Fake News Classification
An infrastructure and application of computational archival science to enrich and integrate big digital archival data: Using Taiwan Indigenous Peoples Open Research Data (TIPD) as an example
PSEISMIC: A personalized self-exciting point process model for predicting tweet popularity
Detecting DoS Attack in Smart Home IoT Devices Using a Graph-Based Approach
Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network
Estimating the AGV load and a battery lifetime based on the current measurement and random forest application
A Multi-Granular Relative Density Model for Class Noise Detection
Design of Fine-grained Plant Dataset and A Plant Image Acquisition Tool
A framework for consensual and online privacy preserving record linkage in real-time
Toward big data risk analysis
Push-based system for molecular simulation data analysis
Energy Infrastructure Risk Modeling using Quantum and Classical Machine Learning
Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective
Detection of Fraudulent Behavior Using the Combined Algebraic and Machine Learning Approach
Non-local Attention Learning on Large Heterogeneous Information Networks
Exploring the Semantic Representations of Text in Subspaces of Latent Space: A Case Study on Color
Efficient Extraction of Insights at the Edges of Distributed Systems
DataCalc: Ad-hoc Analyses on Heterogeneous Data Sources
Harnessing the power of hashtags in tweet analytics
Applications of Integrated Gradients in Credit Risk Modeling
Achieving Privacy and Tracing Unauthorised Usage: Anonymisation-based Fingerprinting of Private Data
Recovering loss to followup information using denoising autoencoders
Am I Being Bullied on Social Media? An Ensemble Approach to Categorize Cyberbullying
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection
Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data
CoRank: Simultaneously Ranking Publication Venues and Researchers
Investigating Data Protection Mechanisms for EEG Biometric Authentication
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models
Adaptive Query Re-ranking Based on ImageGraph for Image Retrieval
Using pairwise difference features to measure temporal changes in the microbial ecology
Parallelizing natural language techniques for knowledge extraction from cloud service level agreements
Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data
Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media
From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries
HAR: Hardness Aware Reweighting for Imbalanced Datasets
BigDataCube: A Scalable, Federated Service Platform for Copernicus
Improving Character Recognition by the Crowd Workers via Corrective Feedback
Detecting Fraud in a Large Anonymized Voter Registration Dataset
Proactive Prioritization of App Issues via Contrastive Learning
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks
Applications of data analysis on scholarly long documents
Scalable Classification of Univariate and Multivariate Time Series
AnySC: Anytime Set-wise Classification of Variable Speed Data Streams
Analyzing and Predicting the US Midterm Elections on Twitter with Recurrent Neural Networks
Multi-Task Learning Using Facial Features for Mental Health Screening
A Distributed Deep Learning Framework for Federated Big Medical Image Analysis
Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users
Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis
Methodology for food prices forecasting
Data optimised computing for heterogeneous big data computing applications
Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness
ALBUS: a machine learning algorithm for gravitational wave burst searches
Towards a Neural-Symbolic Generative Policy Model
A hacking toolset for big tabular files (Codenames: Bin4tsv, Kabutomushi)
Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
CUBAN: Leveraging Semantic Comparables to Predict Financial Metrics Using Textual Descriptions of Companies
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation
Forecasting tourist arrivals with machine learning and internet search index
Collapsing corporate confusion: Leveraging network structures for effective entity resolution in relational corporate data
A Study On Security and Privacy Risks of Self-Disclosure On Social Networking Sites During COVID-19 Pandemic
A big data aggregation, analysis and exploitation integrated platform for increasing social management intelligence
Streaming Temporal Graphs: Subgraph Matching
A Full-History Network Dataset for BTC Asset Decentralization Profiling
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning
Break up the Family: Protocols for Efficient Recall-Oriented Retrieval Under Legally-Necessitated Dual Constraints
Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift
Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure
The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers
WHAT: A big data approach for accounting of modern web services
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Promoting Metrology in Food and Nutrition: A Position Paper on METROFOOD-RI and its e-component
Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering
Holistic disaster recovery approach for big data NoSQL workloads
Efficient Arrhythmia Detection Using Progressive Resolution Shrinking
susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart Farms
Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain
A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification Problems
Improving Model Training by Periodic Sampling over Weight Distributions
Data-Driven Anomaly Detection in Smart-Railways through Self-Adaptation, Process Mining, and Digital Twins
Finding Archetypal Spaces Using Neural Networks
An Integrated Knowledge Graph to Automate GDPR and PCI DSS Compliance
"What makes a pro eating disorder hashtag": Using hashtags to identify pro eating disorder tumblr posts and Twitter users
Online Feature Selection with Capricious Streaming Features: A General Framework
MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation
Breaking down the invisible wall to enrich archival science and practice
Remaining Useful Life Prediction of Industrial Consumables Using Wideband Vibration Signals
One Model Multiple Insights: CNNs for Medical Image Classification
Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting
Distributed exact subgraph matching in small diameter dynamic graphs
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches
Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data
Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression
Natural Language Interface for Process Mining Queries in Healthcare
MatFlow: A System for Knowledge-based Novel Materials Design using Machine Learning
Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning
Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives
Astro: A predictive model for anomaly detection and feedback-based scheduling on Hadoop
Targeted Detection of Anomalous Merchants on Integrated Payment Platforms via Multifaceted Transaction Representation Learning
Optimizing Stochastic Gradient Descent Using the Angle Between Gradients
'Petroleum Analytics Learning Machine' for optimizing the Internet of Things of today's digital oil field-to-refinery petroleum system
CompactMap: A mental map preserving visual interface for streaming text data
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations
Early experience with optimizing I/O performance using high-performance SSDs for in-memory cluster computing
Effective Stream Data Processing using Asynchronous Iterative Routing Protocol
Examining the Feasibility of Large Language Models as Survey Respondents
Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras
Analysis of route efficiency in city bus transportation vulnerable areas
Debunking Active Data Management Plans
Static and Dynamic Social Network Models for the Analysis of Transshipment in Illegal Fishing
SMAS: An Investor-Oriented Social Media Analysis System for Movies
Modeling and Forecasting Armed Conflict: AutoML with Human-Guided Machine Learning
Exploring the dynamics of surge pricing in mobility-on-demand taxi services
Security Analysis of Mobile Money Applications on Android
Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention
Urban Dynamic Logistics Pattern Mining with 3D Convolutional Neural Network
Natural Gas Price Prediction with Big Data
Automatic keyword extraction: An ensemble method
Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets
Analyzing Deep Learning Techniques in Natural Scene Image Classification
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
MapReduce implementation of Variational Bayesian Probabilistic Matrix Factorization algorithm
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
Ranking on Network of Heterogeneous Information Networks
A cloud service for the evaluation of company's financial health using XBRL-based financial statements
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
COVID-19 Infection Detection Using Machine Learning
Predicting Deduplication Performance: An Analytical Model and Empirical Evaluation
BigSR: real-time expressive RDF stream reasoning on modern Big Data platforms
A novel compression algorithm decision method for spark shuffle process
Automated classification of extremist Twitter accounts using content-based and network-based features
Why name ambiguity resolution matters for scholarly big data research
Expenditure aware rating prediction for recommendation
A Graph-based Analysis Approach to Cluster Lifetime Dynamics
A LSTM with Dual-stage Attention Method to Predict Amine Emissions for Carbon Dioxide Capture and Storage
Resource Optimization for Circuit Simulation using Machine Learning
Introducing Computational Thinking into Archival Science Education
Trustworthy data processing for health analytics tasks
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks
Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows
Explainability Using SHAP for Epileptic Seizure Recognition
Indexing Economic Fluctuation Narratives from Keiki Watchers Survey
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems
A preliminary study on deep learning for predicting social insurance payment behavior
Protecting the location privacy of mobile social media users
Lazy Read: Asynchronous Execution of Synchronous File I/O
Improvement of ARC Considering Negative Locality of Reference in Virtualized Environment
A fast parallel algorithm for counting triangles in graphs using dynamic load balancing
Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark
Strategie roadmap for the earth system grid federation
Identifying emergency stages in facebook posts of police departments with convolutional and recurrent neural networks and support vector machines
Scaling Personalized Machine Learning through DTW Clustering: Predicting Glycemia Levels as an Example
Flexibly Mining Better Patterns
Prediction of information diffusion in social networks using dynamic carrying capacity
One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software
Learning Embedding Space for Clustering From Deep Representations
Leading the Mastodon Herd: Analysing the Traits of Influential Leaders on a Decentralised Social Media Platform
Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry
GLOW : Global Weighted Self-Attention Network for Web Search
Natural Language Querying on NoSQL Databases: Opportunities and Challenges [Vision Paper]
Stacked LSTM Based Wafer Classification
Can a machine win a Grammy? An evaluation of AI-generated song lyrics
A Physics Informed Convolutional Neural Network for Simulating Carbon Nanotube Wires in Infinite Spatial Dimensions and Arbitrary Frequency
A fast and scalable method for threat detection in large-scale DNS logs
Energy-Efficient Energy Analytics Using a General Purpose Graphics Processing Unit
User-Entity Differential Privacy in Learning Natural Language Models
On the usage of Benford's Law on coronavirus data statistics
Exploring the mutation tendency of a specific region in the virus taxonomic groups using data mining techniques
Time Series Based Optimized Recommendation of Promotional Rewards
Enhancing k-Means Algorithm with Tensor Processing Unit
Discovery and Matching Numerical Attributes in Data Lakes
Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging
Mining target users for online marketing based on App Store data
MNP Inside Out: A Game Theory Assisted Machine Learning Model to Detect Subscriber Churn Behaviors under China's Mobile Number Portability Policy
Oversampling techniques for predicting COVID-19 patient length of stay
Lifelong Learning Memory Networks for Aspect Sentiment Classification
An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks
On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining
A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF
Defending Federated Learning Against Model Poisoning Attacks
Data Driven Optimal Coil Batching for Annealing Lines with Eligibility Constraints
Hotspots of news articles: Joint mining of news text & social media to discover controversial points in news
Data-driven cloud-based IT services performance forecasting
A Study of Data-Path Bugs in PyTorch with a Focus on Memory Issues
An open source framework to add spatial extent and geospatial visibility to Big Data
Towards predicting task performance from EEG signals
An ensemble learning based approach for building airfare forecast service
Learning Multiclassifiers with Predictive Features that Vary with Data Distribution
FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable Convolutions
Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets
Graph Force Learning
Advanced machine learning in neuroimaging studies via federated learning
Leveraging social big data for performance evaluation of E-commerce websites
Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin
Are Existing Large Language Models Robust Against Jailbreak Attacks?
Causally Informed Factorization Machines
Scalable Data Management in Dataspaces: Benchmarking MongoDB Sharding
Efficient heap monitoring tool for memory leak detection and root-cause analysis
Algorithmic content generation for products
Securing Smart Future: Cyber Threats and Intelligent Means to Respond
Utilizing text mining and GIS analysis on the vulnerable disaster type of the elderly living alone
A Big Data Experiment to Evaluate the Effectiveness of Traditional Machine Learning Techniques Against LSTM Neural Networks in the Hotels Clients Opinion Mining
Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities Management
AnVILMEDFORD: Documenting Cloud-Based Analysis Projects Using the MEDFORD Metadata Language
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines
Knowledge Graphs of the QAnon Twitter Network
SMERC: Social media event response clustering using textual and temporal information
Multi-Class Object Detection from Aerial Images Using Mask R-CNN
Data-Driven Approaches to Detecting Misdeliveries in Truck Logistics using GPS Data
Towards memory and computation efficient graph processing on spark
A Beam-Search Based Method to Select Classification and Imputation Methods for Fair and Accurate Data Analysis
Efficient Huge Page Management with Xpage
Unsupervised Style Transfer of Modern Hebrew using Generative Language Modeling and Zero-Shot Prompting
A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework
Making caches work for graph analytics
Analytics-driven data ingestion and derivation in the AWESOME polystore
Predicting the location of users on Twitter from low density graphs
Collaboratively Learning Federated Models from Noisy Decentralized Data
A monitoring framework for deployed machine learning models with supply chain examples
Anomaly Detection in Exchange Traded Funds
The Melancholic Muse: Analyzing Listeners' Emotional Resonance with Sad Music
Large scale ad latency analysis
Insurance premium optimization using motor insurance policies - A business growth classification approach
Rethinking data management for big data scientific workflows
Finding banded patterns in big data using sampling
Labeling actors in multi-view social networks by integrating information from within and across multiple views
MPI Allgather Utilizing CXL Shared Memory Pool in Multi-Node Computing Systems
Multivariate Hawkes Processes for Incomplete Biased Data
Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation
Baselines for demographic inference on a new gold standard twitter corpus
DL-MPI: Enabling data locality computation for MPI-based data-intensive applications
Modern Cybercrime Investigation: Technological Advancement of Smart Devices and Legal Aspects of Corresponding Digital Transformation
Exploiting Knowledge Graph to Improve Text-based Prediction
The Research on Cross-border Online Shopping Transaction Risk Based on Online Data Access
Multidimensional Preference Query Optimization on Infrastructure Monitoring Systems
Twitter Sentiment Analysis, 3-Way Classification: Positive, Negative or Neutral?
ASRC:A Knowledge Graph Relation Construction Model based on Active Learning and Semantic Recognition
Weighted clustering of spatial pattern for optimal logistics hub deployment
Network-based link prediction of scientific concepts - a Science4Cast competition entry
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings
Massive labeled solar image data benchmarks for automated feature recognition
RNBFT: Leveraging Randomness to Achieve Scalable Byzantine Consensus
TQL: Towards Type-Driven Data Discovery
MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction
Pathfinder: Building the Enterprise Data Map
Chinese wall security policies information flows in business cloud
Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction
The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey
Distributed class dependent feature analysis - A big data approach
Being "BYTES-oriented" in HPC leads to an open big data/AI ecosystem and further advances into the post-moore era
Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing