yusuke1997/dblp-id-title huggingface dataset:
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring
Feature Fusion Based on Sparse Block for Image Super-resolution
Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method
ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation
A first estimation of the proportion of cybercriminal entities in the bitcoin ecosystem using supervised machine learning
Tenet: Benchmarking Data Stream Classifiers in Presence of Temporal Dependence
Impact of Mandated Public Reporting in California on 30-Day readmission following CABG surgery: A Health policy analysis
Extensive large-scale study of error surfaces in sampling-based distinct value estimators for databases
Probabilistic parallelisation of blocking non-matched records for big data
TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning
Accelerating Cross-Matching Operation of Geospatial Datasets using a CPU-GPU Hybrid Platform
CPQN: Central Product Quantization Network for Semi-supervised Image Retrieval
Data Reliability Enhanced Prediction for Recommendation System: A Case Study on Named Entity Recognition
An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning
A system for large-scale visualization of streaming Doppler data
Solar flare prediction using multivariate time series decision trees
Investigating the Changes in Software Metrics after Vulnerability is Fixed
VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data
Implementing scalable structured machine learning for big data in the SAKE project
Processing and managing the Kepler mission's treasure trove of stellar and exoplanet data
IoTViz: Visualizing emerging topics in the internet of things
ITDT: International Testbed for Dataspace Technology
GraphQL for archival metadata: An overview of the EHRI GraphQL API
Robust Learning with Noisy Label Detection and Counterfactual Correction
S3C: An architecture for space-efficient semantic search over encrypted data in the cloud
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data
Compressed learning for time series classification
Integrating Textual Data into Heterogeneous Data Ingestion Processing
Latency vs Cost : Data Ingestion options at Twitter Scale
Finding the best box-cox transformation from massive datasets on spark
Accelerating Feature Engineering with Adaptive Partial Aggregation Tree
Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social Media
Developing and Evaluating a Model-Based Metric for Legal Question Answering Systems
BigCache for big-data systems
Mining and modeling web trajectories from passive traces
Human-Machine Information Extraction Simulator for Biological Collections
PersonaSAGE: A Multi-Persona Graph Neural Network
I/O load balancing for big data HPC applications
An Alert Notification Subsystem for AI Based Clinical Decision Support: A Protoype in NICU
Towards Building Generalizable Models for Malware Detection
The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain
Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble Selection
Develop method to predict the increase in the Nikkei VI index
An iterative methodology for big data management, analysis and visualization
DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications
Twitter Sentiment Analysis, 2-Way Classification: Offensive or Not-Offensive?
Fast Clustering with Flexible Balance Constraints
Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes
Spark-GPU: An accelerated in-memory data processing engine on clusters
Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models
An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word Segmentation
CINTIA: A distributed, low-latency index for big interval data
Clustering Human Mobility with Multiple Spaces
Digital Financial Literacy, Risk Aversion, and College Students' Online Security Behavior
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis
Issues with Current Pm Monitoring Techniques and Control Measures and the Way Forward Using Big Data
Road Damage Detection Using RetinaNet
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network
Practical approach to evacuation planning via network flow and deep learning
Optimized Precision Time Source and Time Synchronization Simulation
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection
A feature selection method based on Lorentzian metric
Account clustering in multi-tenant storage management environments
Automating Data Science Pipelines with Tensor Completion
Inferring restaurant styles by mining crowd sourced photos from user-review websites
Classification of Univariate Time Series via Temporal Abstraction and Deep Learning
Responsible AI for Government Program Evaluation and Performance Audits
Adaptive Image Scaling for Corresponding Points Matching between Images with Differing Spatial Resolutions
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
Improving random walk rankings with feature selection and imputation Science4cast competition, team Hash Brown
Tackling No-show Imbalance problems for Healthcare Appointment datasets
Bayesian optimization for predicting rare internal failures in manufacturing processes
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials
Outlier detection via sampling ensemble
A Holistic Spatial Platform For Managing Infectious Diseases, Case Study on COVID-19 Pandemic
Adaptive Lazy Compaction with High Stability and Low Latency for Data-Intensive Systems
Exploring Large Language Models for Analyzing Changes in Web Archive Content: A Retrieval-Augmented Generation Approach
A Re-thinking ASR Modeling Framework using Attention Mechanisms
Using Synthetic Data Generators to Promote Open Science in Higher Education Learning Analytics
A reconfigurable computing architecture for semantic information filtering
Texture-based edge bundling: A web-based approach for interactively visualizing large graphs
A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation
Graph Generation with a Focusing Lexicon
Managing massive graphs in relational DBMS
Approximate High Dimensional Graph Mining With Matrix Polar Factorization: A Twitter Application
Understanding data quality: Ensuring data quality by design in the rail industry
Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation
Toward Identifying the Urban Community Structure from Population Flow and Public Services Distribution
Distributed Adaptive Model Rules for mining big data streams
OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User
Large-scale Data Integration for Facilities Analytics: Challenges and Opportunities
Source characterization of airborne emissions using a sensor network: Examining the impact of sensor quality, quantity, and wind climatology
Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions
Influence Maximization in Social Networks With Non-Target Constraints
Comparative analysis of machine learning methods for analyzing security practice in electronic health records' logs
Adaptive Data Pruning for Support Vector Machines
A Framework of Applying Kelly Stationary Index to Stock Trading in Taiwan Market
Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other Methods
Biofeedback EEG data integration and visualization analytics for endurance exercise practices: Data integration and visualization analytics of biofeedback EEG
Improving the Optical Flow Accuracy Based on the Total Variation of Local-Global method
Hybridization of Active Learning and Data Programming for Labeling Large Industrial Datasets
PUSHGNN: A Low-communication Runtime System for GNN Acceleration on Multi-GPUs
Frequent Subgraph Mining in Dynamic Databases
Detecting Pedestrian Crossing Events in Large Video Data from Traffic Monitoring Cameras
Multi-Instance Bias Suppression for Enhanced Generalization in Breast Cancer Diagnosis : Harnessing Histopathological Big Data Insights
Text Mining Algorithms for Cancer Diagnostics
Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic Regression
EXOS: Expansion on session for enhancing effectiveness of query auto-completion
Anomaly detection on bipartite graphs for cyber situational awareness and threat detection
Characterizing Disease Spreading via Visibility Graph Embedding
Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
Automating the Detection of Personally Identifiable Information (PII) in Japanese-American WWII Incarceration Camp Records
Road Damage Detection with Models Learning from Each Other
Agglomeration, network and urban development - - A study on newspaper connection network index of cities
Investigating the accuracy of the openFDA API using the FDA Adverse Event Reporting System (FAERS)
Enhancing Graph Convolutional Networks by Topology Sampling
Study of the Effects of Visual Complexity and Consumer Experience on Visual Attention and Purchase Behavior through the Use of Eye Tracking
MR-TRIAGE: Scalable multi-criteria clustering for big data security intelligence applications
Respiratory Rate Prediction Algorithm based on Pulse Oximeter
Semi-supervised Deep Representation Learning for Multi-View Problems
Building a research data science platform from industrial machines
An AI-Driven Architecture for Precision Agriculture: IoT, Machine Learning, and Digital Twin Integration for Sustainable Crop Protection
Detecting Fake Accounts on Social Media
Early Stopping Based on Repeated Significance
Harnessing the data revolution: A perspective from the national science foundation
Efficient Dimensionality Reduction for Sparse Binary Data
FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns
Towards Faster Distributed Deep Learning Using Data Hashing Techniques
Detect Hidden Road Hazards combining Multiple Social Media Data
Phishing detection based on newly registered domains
How Much You Can Get at the Cost of Your Privacy
Optimizing Variational Graph Autoencoder for Community Detection
An Exploratory Interface for Dataset Repositories Using Cell-Centric Indexing
"Influence sketching": Finding influential samples in large-scale regressions
PROBER: A System for Real-time Propaganda Behavior Analytics on Social Media and Web Data Streams
Online trajectory segmentation and summary with applications to visualization and retrieval
Improving Sign Video Modeling Using Graph Neural Network
Scalable storage structure for pattern matching on big graph data
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
Automated Extraction of Personal Knowledge from Smartphone Push Notifications
Action Recognition Using Dynamic Mode Decomposition for Temporal Representation
A workload aware model of computational resource selection for big data applications
GPT in Data Science: A Practical Exploration of Model Selection
Context-aware Data Sampling with Reciprocal Nearest Neighbors for Fraud Classification
A Fast On-Line ϵ-Approximation Algorithm for Mining Strongly Closed Itemsets
Forecasting People's Action via Social Media Data
Cache-oblivious loops based on a novel space-filling curve
Distributed decision tree v.2.0
Impact of Organizational Factors on Big Data Analytics Adoptions in U.S. Public Sector Organizations
Combined Correlational Network for Identifying Behavioral Health Cases from First Responder Report
FasterRCNN Monitoring of Road Damages: Competition and Deployment
Improving Join Reordering for Large Scale Distributed Computing
An Evaluation of DGA Classifiers
Aggregate Learning for Mixed Frequency Data
Construction of Disaster Knowledge Graphs to Enhance Disaster Resilience
MPMPA: A Mitigation and Prevention Model for Social Engineering Based Phishing attacks on Facebook
Categorization of Data Analytics Projects in Smart Manufacturing
GraphHash: Topic-Aware Influence Maximization Using Hash
Protecting privacy in the archives: Preliminary explorations of topic modeling for born-digital collections
Private Continuous Survival Analysis with Distributed Multi-Site Data
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems
Distributed Node Classification with Graph Attention Networks
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020
Large Data Flow Graphs in Limited GPU Memory
A Skill-based Worksharing Approach for Microtask Assignment
Crowdsourced query augmentation through semantic discovery of domain-specific jargon
Robot See, Robot Do: Imitation Reward for Noisy Financial Environments
CoUPM: Correlated Utility-based Pattern Mining
Smog disaster forecasting using social web data and physical sensor data
Development and Application of an Intensive Care Medical Data Set for Deep Learning
Mapping Network States using Connectivity Queries
GAME: Improving Efficiency and Effectiveness of Knowledge-Graph Rule Mining via Data Reduction
Open research challenges with Big Data - A data-scientist's perspective
A theoretical analysis of graph evolution caused by triadic closure and algorithmic implications
A data-driven approach to predict NOx-emissions of gas turbines
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation
Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]
Blockchain Interoperability Landscape
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge
Exploring market power using deep reinforcement learning for intelligent bidding strategies
Analyzing the performance of data replication and data partitioning in the cloud: The BEOWULF approach
Self-Service, On-Demand Creation of OLAP Cubes over Big Data: a Metadata-Driven Approach
Table classification using both structure and content information: A case study of financial documents
Detecting and summarizing emergent events in microblogs and social media streams by dynamic centralities
Enabling genomic analysis on federated clouds
Location-based Alert System Using Searchable Encryption with Hilbert Curve Encoding
An Integrated ML-Ops Framework for Automating AI-based Photovoltaic Forecasting
Hardening DGA Classifiers Utilizing IVAP
A big social media data study of the 2017 german federal election based on social set analysis of political party Facebook pages with SoSeVi
Workload scheduling in distributed stream processors using graph partitioning
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields
Visual Anomaly Detection in Event Sequence Data
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
Data Security and Privacy Protection in Public Cloud
Top-k computations in MapReduce: A case study on recommendations
Tab-HGNN: Learning Column Representation with Heterogeneous Graph Neural Network for Web Table Interpretation
Summarizing Financial Reports with Positional Language Model
Optimizing graph queries with graph joins and Sprinkle SPARQL
A Sentiment Analysis Service Platform for Streamed Multilingual Tweets
PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic Segmentation
How data partitioning strategies and subset size influence the performance of an ensemble?
Analysis of web-based geo-visualization methods applied for Automated Guided Vehicle using Satellite Navigation Systems
Quantitatively Evaluating the Validity of Contrastive Generators for Recourse
HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications
IoT-based Big Data Storage Systems Challenges
A Multi-Criteria Experimental Ranking of Distributed SPARQL Evaluators
Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes
Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity
Locality-driven high-level I/O aggregation for processing scientific datasets
Multi-task Learning with Pre-trained Language Models for Mental Illness Screening
Big data security and privacy
Performance evaluation of R with Intel Xeon Phi coprocessor
Heterogeneous k-anonymization with high utility
A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling
Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning
Interactive Support System for Idea Divergence-Convergence Iteration
Interactive Visualization for Smart Power Grid Efficiency and Outage Exploration
Attributed Sequence Embedding
Overcoming Data Imbalance in Federated Learning with Calibration Weighting
My (fair) big data
Predicting Age & Gender of Mobile Users at Scale - A Distributed Machine Learning Approach
Reuters tracer: Toward automated news production using large scale social media data
Topic similarity networks: Visual analytics for large document sets
HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents
PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform
CAM: A Combined Attention Model for Natural Language Inference
Understanding rating behavior based on moral foundations: The case of Yelp reviews
Core decomposition in large temporal graphs
Differentially Private Semi-Supervised Learning With Known Class Priors
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data
YinMem: A distributed parallel indexed in-memory computation system for large scale data analytics
Qobra: Fast Verification of Transactional Serializability with Quantum Annealing
An Analysis of COVID-19 Knowledge Graph Construction and Applications
ReCT: Improving MapReduce performance under failures with resilient checkpointing tactics
Factify: An Automated Fact-Checker for Web Information
Visualizing Internet Measurements of Covid-19 Work-from-Home
Semantic Property Graph for Scalable Knowledge Graph Analytics
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Improving text classification with word embedding
Metaheuristics in big data: An approach to railway engineering
A configurable, big data system for on-demand healthcare cost prediction
Understanding Online Platform Usage of Extremist Groups via Graph Analytics
Parallel R Computing on the Web
A novel self-adaptive method for improving patient monitoring with composite early-warning scores
2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016
Examination of Double Arbiter PUFs on Security against Machine Learning Attacks
Temporal association rules for electrical activity detection in residential homes
[Research paper] formalizing interruptible algorithms for human over-the-loop analytics
Multi-View Graph Convolution for Participant Recommendation
A Framework for Compressing Unstructured Scientific Data via Serialization
CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images
Federated Query processing for Big Data in Data Science
4S: Scalable subspace search scheme overcoming traditional Apriori processing
Automated interpretability of linked data ontologies: : an evaluation within the cultural heritage domain
DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models
The Data Recovery Service in NoSQL
FPSRec: Football Players Scouting Recommendation System based on Generative AI
Estimation of local subgraph counts
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels
Feliss: Flexible distributed computing framework with light-weight checkpointing
Insights About Causality Detection in Financial Text - Towards an Informed Approach
Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks
The Nexus Between Big Data Analytics and the Proliferation of Fake News as a Precursor to Online and Offline Criminal Activities
Efficient large scale near-duplicate video detection base on spark
Deep Learning and Machine Learning Models for Scalable Credit Card Default Prediction on Big Data
Application of LSTM Neural Network for Urban Road Diseases Trend Forecasting
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster
Development of a Computer Vision-Based Road Physical Feature Extraction
A strategic approach for visualizing the value of big data (SAVV-BIGD) framework
D3N: A multi-layer cache for the rest of us
A Genetic Algorithm For Boolean Semiring Matrix Factorization With Applications To Graph Mining
An active learning method for data streams with concept drift
BigData Fusion for Trajectory Prediction of Multi-Sensor Surveillance Information Systems
Scaling LLM-Based Knowledge Graph Generation: A Case Study of Italian Geopolitical News
Evaluating the EEG and Eye Movements for Autism Spectrum Disorder
The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness
Enhancing User Understanding with Big Data: A Comparative Study of Deep Learning and Statistical Methods for Forecasting Online Page Views
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
The Impact of COVID-19 on Flight Networks
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching
Tweet sentiment as proxy for political campaign momentum
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection
Leveraging large sensor streams for robust cloud control
Social-Media aided Hyperlocal Help-Network Matching & Routing during Emergencies
Dynamic Model Selection for Asynchronous Federated Learning in IoBT Scenarios
A Data-Driven Approach to Nation-Scale Building Energy Modeling
Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions
MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding
Aviator: A MITRE Emulation Plan-Derived Living Dataset for Advanced Persistent Threat Detection and Investigation
Does Double-entry Bookkeeping Information Generated Using node2vec Contribute to Forecasting Future Performance?
Spatial Density-based User Identity Linkage across Social Networks
Automating privacy compliance in the decentralized enterprise
Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes
Semi-Supervised Dictionary Learning Based on Atom Graph Regularization
Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types
Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural Networks
A single-node datastore for high-velocity multidimensional sensor data
Contrastive Multi-view Learning for Graph Stucture Learning
Hidden Markov based anomaly detection for water supply systems
Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis