yusuke1997/dblp-id-title huggingface dataset:
Improving user interaction in mobile-cloud database query processing
Thrill: High-performance algorithmic distributed batch data processing with C++
Machine Learning and OLAP on Big COVID-19 Data
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks
Anomaly and Degradation Detection Using Subspace Tracking in Streaming Data
Raptor Zonal Statistics: Fully Distributed Zonal Statistics of Big Raster + Vector Data
Analysis of Correlation between Cold Weather Meteorological Variables and Electricity Outages
Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear Biases
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
Graph classification with the hypernetwork, a molecule interaction based evolutionary architecture
Efficient Inference on Convolutional Neural Networks by Image Difficulty Prediction
Nearest neighbour regression outperforms model-based prediction of specific star formation rate
Icarus: Towards a multistore database system
Sentiment analysis via multi-layer perceptron trained by meta-heuristic optimisation
The correlation between substance abuse and crime in the United States
On on-line task assignment in spatial crowdsourcing
CanDE: A Lightweight Locality-Sensitive Hashing Add-on for Candidate-Based Distribution Estimation
Using Deep Learning for Food and Beverage Image Recognition
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
Harnessing relationships for domain-specific subgraph extraction: A recommendation use case
How big data changes statistical machine learning
Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth Experiments
Metaverse in Education: Vision, Opportunities, and Challenges
An Identity Privacy Preserving IoT Data Protection Scheme for Cloud Based Analytics
A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of Wood
Optimal viewpoint finding for 3D visualization of spatio-temporal vehicle trajectories on caution crossroads detected from vehicle recorder big data
Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN
Exploring Network Dynamics: Community Detection and Influencer Analysis in Multidimensional Social Networks
Randomize Adversarial Defense in a Light Way
Disambiguation and Error Resolution in Call Transcripts
Degree-based Feature Is All You Need: Science4Cast Report
Mobility-based Individual POI Recommendation to Control the COVID-19 Spread
A collaborative filtering algorithm fusing user-based, item-based and social networks
Synchronized Preprocessing of Sensor Data
Adaptive Covers for Mapper Graphs Using Information Criteria
Closing the loop - Finding lung cancer patients using NLP
On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources
Spatial-based topic modelling using wikidata knowledge base
Towards Unified Data Ingestion and Transfer for the Computing Continuum
Ethical Hacking in Digital Forensics
Defense-PointNet: Protecting PointNet Against Adversarial Attacks
Finding Stable Clustering for Noisy Data via Structure-Aware Representation
Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining
An optimized interestingness hotspot discovery framework for large gridded spatio-temporal datasets
Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem
Extending the Horizon by Empowering Government Customer Service Officers with ACQAR for Enhanced Citizen Service Delivery
Future directions of humans in Big Data Research: Summary of the 1 st workshop on Human-Centered Big Data Research
AI in Archival Holdings and Digital History: Interrelational, Dialogical and Cooperative Interdisciplinary Partnerships
Integrated Real-Time Data Stream Analysis and Sketch-Based Video Retrieval in Team Sports
Musical Elements Enhancement and Image Content Preservation Network for Image to Music Generation
AI-Powered Archives: Revolutionizing Information Access for the Future
Camera Model Identification Using Convolutional Neural Networks
An Intelligent Class: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records
Multiloss-Based Optimization for Time Series Data Augmentation
Multi-step Forecasting via Multi-task Learning
Who consumes anthocyanins and anthocyanidins? Mining national retail data to reveal the influence of socioeconomic deprivation and seasonality on polyphenol dietary intake
Automating Chapter-Level Classification for Electronic Theses and Dissertations
A Blueprint for Collaborative Cybersecurity Operations Centres with Capacity for Shared Situational Awareness, Coordinated Response, and Joint Preparedness
Blockchain Based Log System
Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection
Applying Machine Learning to Analyze Anti-Vaccination on Tweets
Big data analytics of predicting annual US Medicare billing claims with health services
Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies
A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data
Word embeddings for Arabic sentiment analysis
How to Become Instagram Famous: Post Popularity Prediction with Dual-Attention
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking
Extracting Rich Semantic Information about Cybersecurity Events
Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study
Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy
Semi-supervised Dirichlet-Hawkes process with applications of topic detection and tracking in Twitter
BIGMAT: A Distributed Affinity-Preserving Random Walk Strategy for Instance Matching on Knowledge Graphs
Graph matching on social networks without any side information
Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation
Inferring Phylogenetic Relationships using the Smith-Waterman Algorithm and Hierarchical Clustering
Applying visual analytics to firearms trafficking trails for the extraction of strategic intelligence
Vehicle orientation detection based on synthetic data with image-to-image translation and domain adaptation
Financial Fraud Detection using Deep Support Vector Data Description
Learning Informative and Private Representations via Generative Adversarial Networks
Analyzing Public Outlook towards Vaccination using Twitter
Multiscale Dubuc: A New Similarity Measure for Time Series
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling
Event pattern discovery by keywords in graph streams
Setting the threshold for high throughput detectors: A mathematical approach for ensembles of dynamic, heterogeneous, probabilistic anomaly detectors
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints
Multimodal Co-attention Transformer for Video-Based Personality Understanding
Three-dimensional spatial join count exploiting CPU optimized STR R-tree
Privacy-Preserving Linear Regression for Brain-Computer Interface Applications
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism
ATM: A distributed, collaborative, scalable system for automated machine learning
Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings
From Hospital Big Data to Clinical Process: A Granular Computing Approach
Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications
RaCAViz: Interactive Visualizations for Rapid Carbon Assessment
Rumor Detection on Social Networks: A Sociological Approach
Online Signature Processing for Biometric User Authentication and Identification
OverSketched Newton: Fast Convex Optimization for Serverless Systems
Quality-efficiency trade-offs in machine learning for text processing
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network
Comparison of MIMIC-III and MIMIC-IV for big data analytics of health informatics
The curious identity of Michael Field and its implications for humanities research with the semantic web
Heterogeneity-Aware Adaptive Federated Learning Scheduling
Universal data discovery using atypicality
A scalable approach for location-specific detection of Santa Ana conditions
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies
CensusIRL: Historical census data preparation with MDD support
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process
Have your data and share it too: Private data analytics at scale
Graph Structure Neural Differential Equations on Spatio-temporal Prediction
A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection
Impact of Noise in Large Real-World Datasets on Semi-Supervised Object Detection: A Case Study of Homeless Encampments Detection
Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model
The Missing Input Problem
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach
Topological Segmentation and Tracking for Space Weather Modeling
Fair Regression under Sample Selection Bias
Big data in psychology: Using word embeddings to study theory-of-mind
Biomedical Data Ensemble Classification using Random Projections
Big data analytic of US Medicare Claims of healthcare service informatics and billing fraud
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising
Structure preserving dimension reduction with 2D images as predictors
Using Smart Card Data to Model Commuters' Responses Upon Unexpected Train Delays
Solving Tensor Low Cycle Rank Approximation
Continuous hyperparameter optimization for large-scale recommender systems
From stars to patients: Lessons from space science and astrophysics for health care informatics
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs)
Content-Based Access Control: Use data content to assist access control for large-scale content-centric databases
Ticket-purchase behavior under the effects of marketing campaigns on facebook fan pages
Domain-specific user preference prediction based on multiple user activities
ModelRecycling: Predicting user's interest with connected predictive models
Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data
A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
Digital Legacies on Paper: Reading Punchcards with Computer Vision
The Conceptual Background of OPTIMIST's AI Module
A granular approach for identifying user knowledge
Identifying Android Malware Families Using Android-Oriented Metrics
Regular decomposition of large graphs and other structures: Scalability and robustness towards missing data
Sankhya: An Unbiased Benchmark for Bangla Handwritten Digits Recognition
Extending Kafka Streams for Complex Event Recognition
Study on Statistical Analysis of Post-Earthquake Road Use Recovery and Its Application
Infectious texts: Modeling text reuse in nineteenth-century newspapers
Big-data-enabled modelling and optimization of granular speed-based vessel schedule recovery problem
Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes
Enhanced Deepfake Detection Leveraging Multi-Resolution Wavelet Convolutional Networks
Adaptive Anomaly Detection for Dynamic Clinical Event Sequences
An integrated assessment approach to different collaborative filtering algorithms
Forward Index Compression for Instance Retrieval in an Augmented Reality Application
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring
Lifelong multi-task multi-view learning using latent spaces
Machine learning for stress detection from ECG signals in automobile drivers
A document-based data model for large scale computational maritime situational awareness
MycorrhiSEE: a High-Resolution Image Dataset for Deep Learning Based Quantification of Arbuscular Mycorrhizal Fungi
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
Investigating insurance fraud using social media
Introducing DeepBalance: Random deep belief network ensembles to address class imbalance
Android malware detection with weak ground truth data
Large Language Models for Financial Aid in Financial Time-series Forecasting
CVE representation to build attack positions graphs
Sustainable blockchain-enabled services: Smart contracts
Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis
LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series
OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts
Bridging BAD Islands: Declarative Data Sharing at Scale
Knowledge Graphs for Competency-Based Education
Association Model between Visual Feature and AQI Rank Using Lifelog Data
Summarization of emergency news articles driven by relevance feedback
Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF)
IEEE FEMH Voice Data Challenge 2018
On Exploring Attention-based Explanation for Transformer Models in Text Classification
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
Discrimination detection by causal effect estimation
Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming Data
DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topological structure
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations
Towards an Interactive Visualization Framework for IoT Device Data Flow
ScaleGraph: A high-performance library for billion-scale graph analytics
Hotel plan popularity factor analysis of hotels in the Keihanshin region
AI-Ready Data: Knowledge Extraction from Archival Lab Notebooks
Top-K aggregation over a large graph using shared-nothing systems
Mining Railway Grievances on Twitter for Efficient E-Governance in India
BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering
The Gather Join: Efficiently Aligning Atmospheric Datasets in Apache Spark
Understanding the Intrinsic Characteristics of Spatial Partitioning in Distributed Spatial Join
Feature Fusion Network for Personalized Online Advertising Systems
UNet based future weather prediction on Weather4cast 2021 stage 2
SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay
A Unified Language Model Approach for the Semantic Interpretation of Traffic Signs
Graph-based information exploration over structured and unstructured data
Transfer learning for decision support in Covid-19 detection from a few images in big data
MeWP: Meta-learning based Water-Level Prediction
Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi
Fairness-aware Bandit-based Recommendation
Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge
A Statistical Causal Inference Method for Exploring Ultrasonics and Topological Deformations in Biological Systems
Zooming into Abnormal Events in Video Conferencing
Scaling Anomaly Detection Service Using Serverless Technology
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty
Ordinal Hyperplane Loss
Application of big data for improving air quality during almond harvesting process
Entropy Analysis for Clustering Based Lossless Compression of Remotely Sensed Images
Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs
EME33: A Dataset of Classical Piano Performances Guided by Expressive Markings with Application in Music Rendering
Machine Learning-Based Security Alert Screening with Focal Loss
Integration of Blockchain Technology in Collaborative Scientific Workflows
An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning Approach
MLK Smart Corridor: An Urban Testbed for Smart City Applications
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery
Implementation of Point-Based Scoring Model for Fraud Detection
A recommender model based on trust value and time decay: Improve the quality of product rating score in E-commerce platforms
Evaluating Gender-Neutral Training Data for Automated Image Captioning
An evaluation of machine learning methods for domain name classification
G-Finder: Approximate Attributed Subgraph Matching
Do Candlestick Patterns Work in Cryptocurrency Trading?
UFO_Tracker: Visualizing UFO sightings
Energy Prediction for Automobile Air Conditioning Systems
Training Fair Models in Federated Learning without Data Privacy Infringement
Drift-Aware Multi-Memory Model for Imbalanced Data Streams
Detecting languages in streetscapes using deep convolutional neural networks
Comparing Generative Chatbots Based on Process Requirements: A Case Study
A Statistical Approach to Inferring Business Locations Based on Purchase Behavior
Federated Learning on Recommender Systems
Big data application in job trend analysis
Noise self-filtering K-nearest neighbors algorithms
DS4ALL: All you need for democratizing data exploration and analysis
Data Efficient Transformers for Wearable Sensor Analysis in Centralized and Federated Environments
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Inverse extreme learning machine for learning with label proportions
AI Image-based Systems for Enhancing the Cultural Tourism Experience
Predicting various types of user attributes in Twitter by using personalized pagerank
Exploiting Machine Learning Models for Approximate Query Processing
Piaget: A Probabilistic Inference Approach for Geolocating Historical Buildings
Incremental and parallel spatial association mining
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition
Deep Neural Networks as Similitude Models for Sharing Big Data
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic
Web Scraping: State-of-the-Art and Areas of Application
Traffic forecasting in complex urban networks: Leveraging big data and machine learning
Improving transaction processing performance by consensus reduction
Integrating the University of São Paulo Security Mobile App to the Electronic Monitoring System
Entity resolution using inferred relationships and behavior
LLM Augmentations to support Analytical Reasoning over Multiple Documents
Dynamic Cell Structure via Recursive-Recurrent Neural Networks
An architecture for the deployment of statistical models for the big data era
A two-sided market mechanism for trading big data computing commodities
Applications of Sequence to Sequence Models for Technical Support Automation
Non-deep CNN for multi-modal image classification and feature learning: An Azure-based model
Benchmarking performance of RaySGD and Horovod for big data applications
Can GPT-4 Think Computationally about Digital Archival Practices?
Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role Labeling
One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform
Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme
3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting
Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV Systems
A Machine Learning Approach for Prediction of Length of Stay for the Kid's Inpatient Database
Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning
Fingerphoto Presentation Attack Detection: Generalization in Smartphones
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection
Solar Irradiance Prediction Using Transformer-based Machine Learning Models
Tracking Political Events in Social Media: A Case Study of Hong Kong Protests
Privacy-Preserving Federated Interpretability
k-Balanced sorting and skew join in MPI and MapReduce
Conflict-RAG: Understanding Evolving Conflicts Using Large Language Models
Advancements in Financial Document Structure Extraction: Insights from Five Years of FinTOC (2019-2023)
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination
Interpretable Deep Learning For Automated Retinal Damage Detection in Optical Coherence Tomography
In unity there is strength: Showcasing a unified big data platform with MapReduce Over both object and file storage
A Multi-Representation Ensemble Approach to Classifying Vocal Diseases
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand
Large-scale logistic regression and linear support vector machines using spark
Construction and Application of the SMART Model for Adaptive Industrial Data Collection Based on Knowledge Graphs
RecCite: A Hybrid Approach to Recommend Potential Papers
Making "Magic" with Engineered Decisions, Data, and Processes: A Hospital Operations Center
Quantifying the Effects of Recommendation Systems
A hypergraph-partitioned vertex programming approach for large-scale consensus optimization
Soccer Analysis based on Markov Chain and PCA
Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations
NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level Emotion
Cluster-based Computation of Exact Betweenness Centrality in Large Undirected Graphs
Communication efficient algorithms for fundamental big data problems
Enhancing Fraud Detection in Enterprise Resource Planning Systems through Federated Learning: A Comparative Study
Scalable Runtime Integrity Protection for Helm Based Applications on Kubernetes Cluster
A Software Framework for Cluster Lifecycle Analysis in Transportation
Toward the Implementation of the DPC Code Classification System in Hospital Information Systems
Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases
Ties that matter
Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation
Large-scale taxonomy categorization for noisy product listings
MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAta
Large Model Fine-tuning for Suicide Risk Detection Using Iterative Dual-LLM Few-Shot Learning with Adaptive Prompt Refinement for Dataset Expansion
Investigating User Information and Social Media Features in Cyberbullying Detection
The BTWorld use case for big data analytics: Description, MapReduce logical workflow, and empirical evaluation
An Approximation Method for Large Graph Similarity
Automated Estimation of Left Myocardial Strain from Cine CTA: A Comparison with Cine MRI
The Danish National Energy Data Lake: Requirements, Technical Architecture, and Tool Selection
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting