yusuke1997/dblp-id-title huggingface dataset:
How Does Fake News Spread: Raising Awareness & Educating the Public with a Simulation Tool
CoT based Few-Shot Learning of Negative Comments Filtering
Shade: A differentially-private wrapper for enterprise big data
Alternatives to Classic BM25-IDF based on a New Information Theoretical Framework
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Performance Benchmarking of Automated Sentence Denoising using Deep Learning
Efficient portfolio allocation with sparse volatility estimation for high-frequency financial data
Differentially Private Frequency Tables Based on Random Sampling
A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings
Enabling discovery data science through cross-facility workflows
Generating Interpretable Network Asset Clusters For Security Analytics
DelphAI: A human-centered approach to time-series forecasting
Fast summarization and anonymization of multivariate big time series
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
A big data analytics framework for forecasting rare customer complaints: A use case of predicting MA members' complaints to CMS
A framework for evaluating urban land use mix from crowd-sourcing data
Zero-day Malware Detection using Threshold-free Autoencoding Architecture
MixPCD: a novel method of constructing driving cycle for electric bus with sparse data
Chronic Respiratory Disease: Risk Modeling Potential and Limitations
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data
Batch Mode Deep Active Learning for Regression on Graph Data
From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors
Merging Large Ontologies using BigData GraphDB
Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT
Leveraging Big Data Technologies for Practical Radio Frequency Fingerprinting Applications
TKSimGPU: A parallel top-K trajectory similarity query processing algorithm for GPGPUs
Analysis of GSM calls data for understanding user mobility behavior
Differentially Private Frequency Sketches for Intermittent Queries on Large Data Streams
Learning Explainable Multi-view Representations for Malware Authorship Attribution
Wikidata-lite for Knowledge Extraction and Exploration
Understanding User Interactions and Community Formation on Data Competition Platform
Are Abstracts Enough for Hypothesis Generation?
An efficient parallel topic-sensitive expert finding algorithm using spark
Secure Implementation of Artificial Intelligence Applications for Anti-Money Laundering using Confidential Computing
Enhancing Out-Of-Vocabulary Word Representations with Large Language Models
A Large Language Model-based Fake News Detection Framework with RAG Fact-Checking
Towards Normalizing The Design Phase of Data Preprocessing Pipelines For IoT Data
DATA-EX: Infrastructure for Cross-Domain Data Exchange Based on Federated Architecture
Automatic generation of relational attributes: An application to product returns
Effective Missing Value Imputation Methods for Building Monitoring Data
Deep Learning for Non-stationary Multivariate Time Series Forecasting
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract)
Privacy-preserving & machine-learned catchment models for national dietary surveillance via digital footprint data
Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design Benchmark
Zero-Shot Machine Learning Technique for Classification of Multi-User Big Data Workloads
Physics-based multiple time-series univariate forecasting
PatBinQL: a compact, inference-enabled query language for RDF stream processing
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data
Review of Publically Available Health Big Data Sets
Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph
Graph Neural Network Architecture Search for Molecular Property Prediction
Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features
MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory Data
Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Usage-Based Decision Tree for Telco Churn Prediction
Optimal reducer placement to minimize data transfer in MapReduce-style processing
Forecasting the rise and fall of volatile point-of-interests
Visual Attributes of Thumbnails in Predicting Top YouTube Brand Channels: A Machine Learning Approach
FairGAN: Fairness-aware Generative Adversarial Networks
Is Data Collection through Twitter Streaming API Useful for Academic Research?
TRISTAN: Real-time analytics on massive time series using sparse dictionary compression
Transforming Fake News: Robust Generalisable News Classification Using Transformers
Faster Sampling Algorithms for Polytopes with Small Treewidth
The Impact of Changes in Resolution on the Persistent Homology of Images
Resilient Activities Tracking in a Smart Home using Ultrasonic Sensors
Scalable Learning with Incremental Probabilistic PCA
Big data machine learning and graph analytics: Current state and future challenges
Modeling Lunar Surface Charging Using Physics-Informed Neural Networks
Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing
How Global Retailer ADEO Migrated to Google BigQuery with Database Virtualization
MATE: Summarizing Alerts to Interpretable Outcomes with MITRE ATT&CK
Compartmentalized adaptive topic mining on social media streams
Does pair programming work in a data science context? An initial case study
Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device
Generation of Synthetic Urban Vehicle Trajectories
Implementing Grover's Algorithm on the IBM Quantum Computers
Combining activity-evaluation information with NMF for trust-link prediction in social media
PieRank: Embedded Large-Scale Sparse Matrix Processing
Spaten: A spatio-temporal and textual big data generator
Data-at-rest security for spark
A Higher-order data flow model for heterogeneous Big Data
Chronos: Failure-aware scheduling in shared Hadoop clusters
Machine-Learning-Based Multidimensional Big Data Analytics over Clouds via Multi-Columnar Big OLAP Data Cube Compression
Meta-learning for large scale machine learning with MapReduce
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases
WEAC: Word embeddings for anomaly classification from event logs
Autoencoder-based outlier detection for sparse, high dimensional data
Drum: A rhythmic approach to interactive analytics on large data
Guiding Urban Inclusivity: opening the public space in cities for women
Cluster-size optimization within a cloud-based ETL framework for Big Data
Implementation of Prototype Environment of Virtual Reality Platform for Virtual Lab (Use case of ESL)
Accelerating Text Mining Using Domain-Specific Stop Word Lists
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff
On Text Granularity and Metric Frameworks for Large Language Model Content Detection
Classifying human rights violations using deep multi-label co-training
Flexible Executor Allocation without Latency Increase for Stream Processing in Apache Spark
EVOLVE: Evaluation of Language-to-SQL Validity and Effectiveness - A Detailed Review Framework for Complex Text-to-SQL Queries
Legal Artificial Assistance Agent to Assist Refugees
BurstMem: A high-performance burst buffer system for scientific applications
Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning
Exploring the Tricks for Road Damage Detection with A One-Stage Detector
Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks
Cloud-based machine learning for predictive analytics: Tool wear prediction in milling
Time complexity and architecture of a cloud based prognostics system for a multi-client condition monitoring activity
Deep-Learning-as-a-Workflow (DLaaW): An Innovative Approach to Enabling Deep Learning in Scientific Workflows
The blockchain litmus test
Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'
Combining pattern matching with word embeddings for the extraction of experimental variables from scientific literature
Towards robust models of food flows and their role in invasive species spread
Using machine learning methods to identify atrocity perpetrators
Active preference learning for generative adversarial networks
A Case Study of k-means Clustering using SYCL
Using the CARLA Simulator to Train A Deep Q Self-Driving Car to Control a Real-World Counterpart on A College Campus
Neurosymbolic Knowledge Distillation
A novel framework for mitigating insider attacks in big data systems
Evaluating Researchers through Betweenness Centrality Measures of Co-Author Networks from Academic Literature Database : Finding Gatekeeper Researchers in Organizational Research
Trie-based Output Space Itemset Sampling
Improving Transaction Speed and Scalability in Blockchain Systems
Using probabilistic approach to joint clustering and statistical inference: Analytics for big investment data
Wireless Sensor Networks Calibration using Attention-based Gated Recurrent Units for Air Pollution Monitoring
Algebraic dataflows for big data analysis
Predicting Surface Water Bacteria Levels Using Transfer Learning and Domain Adaptation
A holistic data modeling approach for multi-database systems
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification
Combining Transformers and Tree-based Decoders for Solving Math Word Problems
Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept
Trustworthy Knowledge Graph Population From Texts for Domain Query Answering
Optimizing an LLM Prompt for Accurate Data Extraction from Firearm-Related Listings in Dark Web Marketplaces
Directional decision lists
Big Data Ingestion and Lifelong Learning Architecture
Optimizing apache nutch for domain specific crawling at large scale
Topic life cycle extraction from big Twitter data based on community detection in bipartite networks
ECL-watch: A big data application performance tuning tool in the HPCC systems platform
Vulnerabilities Manager, a platform for linking vulnerability data sources
The Role of Threat Intelligence Sharing Platforms in Companies, Public Authorities, and Universities: Insights from an Exploratory Global Survey
A memory capacity model for high performing data-filtering applications in Samza framework
Exploring the Impact of Resampling Methods for Malware Detection
ACFed: Communication-Efficient & Class-Balancing Federated Learning with Adaptive Consensus Dropout & Model Quantization
Shooting a moving target: Motion-prediction-based transmission for 360-degree videos
A comparative study on learning to rank with computational methods
PAIRS: A scalable geo-spatial data analytics platform
Optimizing Adaptive Radix Trees for NVM-Based Hybrid Memory Architecture
SyntacticDiff: Operator-based transformation for comparative text mining
Citation-Based Author Contribution Measure for Byline-Independency
Finding informative comments for video viewing
Next generation biobanks
Text Analytic Research Portals: Supporting Large-Scale Social Science Research
Fast Graph Learning for Traffic Prediction
A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking
BERT-Based Semantic Relations Extraction from Large-scale Medical Datasets
Deep Learning for the Prediction of Stock Market Trends
A Reference Model for IoT Embodied Agents Controlled by Neural Networks
Spatio-temporal Mining with Scene Data Integration for Urban Transportation Navigation
Detecting Web Spam in Webgraphs with Predictive Model Analysis
Earth Observation Data Utilization for SDGs Indicators: 15.4.2 and 11.3.1
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
A big data platform integrating compressed linear algebra with columnar databases
Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering
Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data
NetClips: A Framework for Video Analytics in Sports Broadcast
NSPIS: Mining Negative Sequential Patterns with Individual Support
ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language Models
Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting
Big-Data Algorithms That Are Not Machine Learning
An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification
Learning to accurately COUNT with query-driven predictive analytics
DDSN: Duplicate detection to reduce both storage and bandwidth consumption
Stock Index Forecasting by Hidden Markov Models with Trends Recognition
Detecting gradual changes from data stream using MDL-change statistics
Misinformation Harms During Crises: When The Human And Machine Loops Interact
A scalable parallel XQuery processor
Dataset Generation Framework for Evaluation of IoT Linux Host-Based Intrusion Detection Systems
Suicide Risk Assessment on Social Media with Semi-Supervised Learning
Scalability analysis of distributed search in large peer-to-peer networks
PSNR-Aware Quantization for DCT-based Lossy Compression
PRESIDE: A Judge Entity Recognition and Disambiguation Model for US District Court Records
Scalable Sampling for High Utility Patterns
Towards a Memory-Adaptive Hybrid Hash Join Design
Exploring the Generalisability of Fake News Detection Models
Toward Open and Sustainable Data Platform for Accessible Pedestrian Network
High-performance geometric algorithms for sparse computation in big data analytics
Investigating the Spread of Russian Disinformation about Biolabs in Ukraine on Twitter Using Social Network Analysis
Proximal Cost-sensitive Sparse Group Online Learning
Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural Systems
Zero-knowledge private graph summarization
Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling
SQL-like big data environments: Case study in clinical trial analytics
Explainable Recommendation Using Knowledge Graphs and Random Walks
Graph Neural Networks for Entity Matching
Peer-to-peer microlending platforms: Characterization of online traits
Influence of a leader and in-group pressure in opinion dynamics model
AGV Quality of Service Throughput Prediction via Neural Networks
BELT: A Pipeline for Stock Price Prediction Using News
Mind the explanatory gap: Quality from quantity
Detecting rumor patterns in streaming social media
Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings
Understanding the state of the Art in Animal detection and classification using computer vision technologies
Automated Dual Clustering for Clinical Pathway Mining *
Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study
Enhancing Photosynthesis Simulation Performance in ESMs with Machine Learning-Assisted Solvers
Detecting communities around seed nodes in complex networks
Approximate kNN Classification for Biomedical Data
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems
Constructing A Human-Centered Dataset for Second Language Acquisition via Large Language Models
Convergent wireless real-time communicaiton using EtherCAT and OPC UA for AGV application with big data sets acquisition
Multimodal One-class Learning for Malicious Online Content Detection
Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild?
Multivariate Data Augmentation for Predictive Maintenance using Diffusion
Analysis of key operation performance data in manufacturing systems
Landslide Likelihood Prediction using Machine Learning Algorithms
Building k-nn graphs from large text data
Pricing Used Vehicles at Volkswagen Financial Services AG
Seq2Img: A sequence-to-image based approach towards IP traffic classification using convolutional neural networks
QoS Prediction Methods in IoT A Survey
Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet
Multi-criteria Rating and Review based Recommendation Model
Conquering Big Data with Spark
Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment
Age of Information Optimization by Deep Reinforcement Learning for Random Access in Machine Type Communication
Online Hierarchical Multi-label Classification
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I
CBCMS: A Compliance Management System for Cross-Border Data Transfer
Large-Scale Intelligent Microservices
Spring Boot based REST API to Improve Data Quality Report Generation for Big Scientific Data: ARM Data Center Example
Visual interface for exploring caution spots from vehicle recorder big data
Mobility Scooter Riding Behavior Stability Analysis Based on Multimodal Contrastive Learning
Bibliographic records as humanities big data
Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper)
URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder
An evaluation of alternative shared-nothing architecture for analytical processing systems
Efficient Super Resolution for Large-Scale Images Using Attentional GAN
Validation of CyborgCrowd Implementation Possibility for Situation Awareness in Urgent Disaster Response -Case Study of International Disaster Response in 2019-
Synergistic partitioning in multiple large scale social networks
REQUEST: A scalable framework for interactive construction of exploratory queries
Exploring Deep Learning and Grad-CAM for Speech-Based Detection of Mild Traumatic Brain Injury
Collaborative filtering and rating aggregation based on multicriteria rating
Classification of TrashNet Dataset Based on Deep Learning Models
Towards Green Query Processing - Auditing Power Before Deploying
Accelerating semantic graph databases on commodity clusters
Asynchronous Blockchain-based Privacy-preserving Training Framework for Disease Diagnosis
Persistent cascades: Measuring fundamental communication structure in social networks
I/O Performance Improvement with Striping File Layout Considering Storage of Intermediate Data
Method for creating privacy-preserving information using Probabilistic Latent Semantic Analysis
A Year Into the Pandemic: a Passenger Perspective on its Impact at Paris-Charles de Gaulle Airport
Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity
Visual fusion of mega-city big data: An application to traffic and tweets data analysis of Metro passengers
Text retrieval based on the feature conversion of vector space
Border Gateway Protocol Anomaly Detection Using Neural Network
Mixers Detection in bitcoin network: a step towards detecting money laundering in crypto-currencies
CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews
Improving Predictions Under Uncertainty of Material Plasma Device Operations
Detection and Characterization of Human Trafficking Networks Using Unsupervised Scalable Text Template Matching
PRAT - a Tool for Assessing Risk in Written Communication
In situ TensorView: In situ Visualization of Convolutional Neural Networks
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System
Predicting regional economic indices using big data of individual bank card transactions
Paired-replicas with constant repair time: Loss functions and memorylessness
GraphQL Patient Case Presentation using the Problem Oriented Medical Record Schema
A comparison of big data application programming approaches: A travel companion case study
Global graphs: A middleware for large scale graph processing
Running scientific algorithms as array database operators: Bringing the processing power to the data
Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks
Analyzing Web Search Behavior for Software Engineering Tasks
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
A performance evaluation of Hive for scientific data management
Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model
Lambda architecture for cost-effective batch and speed big data processing
A scalable data analysis platform for metagenomics
Sifting US Census Records with Computer Vision and Machine Learning
Active learning based news veracity detection with feature weighting and deep-shallow fusion
Online Closed Episode Mining with Root-Order Decomposition
Identification of Encrypted Images Based on Image Statistics
ActionFusion: Framework of Large Action Model Enablement
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
Exploring factors influencing the adoption of in-home respite services: A data science approach
Preliminary Analysis of a Large-Scale Digital Entertainment Development Archive: A Case Study of the Entertainment Technology Center's Projects
Predicting Consumer Level Brand Preferences Using Persistent Mobility Patterns
A large scale examination of vehicle recorder data to understand relationship between drivers' behaviors and their past driving histories
BIG DATA infrastructures for pharmaceutical research
Temporal and Spatial Attention Network Model Based Evolution Model for Bulk Commodity Price Fluctuation Risk
The Impact of Antidumping Protection Against China: Evidence From Traditional And New Antidumping Users
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle
Text Classification with Limited Training Data: Suicide Risk Detection on Social Media
Detecting Fake News Articles
An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices
Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility
RF-MSiP: Radio Frequency Multi-source Indoor Positioning
Fast Distributed Memory Parallel Algorithms for Finding Connected Components in Large Graphs
A unified scheme of text localization and structured data extraction for joint OCR and data mining
Local Differential Privacy with K-anonymous for Frequency Estimation
A data-driven approach for multivariate contextualized anomaly detection: Industry use case
Screening Students for Stress Using Fitbit Data
A Short Survey on the User Cold Start Problem in Recommender Systems: Metadata and Meta-Learning Methods
MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and its application to SNOMED CT
Top-k User-Based Collaborative Recommendation System Using MapReduce
Is Apache Spark scalable to seismic data analytics and computations?
Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals