yusuke1997/dblp-id-title huggingface dataset:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Prediction of higher-order links using global vectors and Hasse diagrams
ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
A distributed approach for graph-oriented multidimensional analysis
Toxic language based echo chambers on the Incels.net community: A network analysis approach
Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization
A natural language normalization approach to enhance social media text reasoning
CSK-Detector: Commonsense in object detection
How much data do I need? A case study on medical data
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models
On the theory and practice of high-dimensional data indexing with iDistance
PrivacyZone: A Novel Approach to Protecting Location Privacy of Mobile Users
On compressing massive streaming graphs with Quadtrees
Towards a distributed infrastructure for data-driven discoveries & analysis
LightSpy: Optical eavesdropping on displays using light sensors on mobile devices
Label propagation in big data to detect remote access Trojans
DSPOL: A High-Level Language for Defining Data Policies in Data Spaces
Image Data Augmentation and Detection Study for Pothole Detection Algorithm
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
An Exploratory Study of Vulnerabilities in Big Data Systems
Near Real-Time Wildfire Damage Assessment using Aerial Thermal Imagery and Machine Learning
Unsupervised Domain Adaptation with Generative Adversarial Networks for Facial Emotion Recognition
Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal Accuracy
ALF: An Automated Low-code Flexible Framework for Data Workflows
Motivating dynamic features for resolution time estimation within IT operations management
Differentially Private Synthetic Data Generation Using Context-Aware GANs
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
A Systematic Literature Review of Decentralized Applications in Web3: Identifying Challenges and Opportunities for Blockchain Developers
Preventing Attribute and Entity Disclosures: Combining k-anonymity and Anatomy over RDF Graphs
Single-Image Dehazing Using Color Attenuation Prior Based on Haze-Lines
Malicious DNS Tunneling Detection in Real-Traffic DNS Data
Understanding performance interference in multi-tenant cloud databases and web applications
Vector-based Churn Prediction using Neural Networks in Mobile Games
Modeling graphs using a mixture of Kronecker models
Initial Explorations of Sparse Matrix-Vector Multiplication on EMU's Migratory Memory Side Processing
Clinical Sublanguage Trend and Usage Analysis from a Large Clinical Corpus
Digitalization and the Transport Industry - Are we Ready?
Recipe for Creating a Highly Accurate Wake Word Engine
Lightweight system for NE-tagged news headlines corpus creation
Leveraging data sampling patterns in data-driven traffic characteristic modeling
Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines
A Simple Approach to Optimize S3 Object Gateways for Massive Numbers of Small File Writes
A Location Independent Machine Learning Approach for Early Fake News Detection
Knowledge cubes - A proposal for scalable and semantically-guided management of Big Data
Generative AI Approach to Distributed Summarization of Financial Narratives
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments
Thick Data Techniques for Identifying Abnormality in Video Frames for Wireless Capsule Endoscopy
A more open efficient future for AI development and data science with an introduction to Julia
Deep Similarity-Enhanced K Nearest Neighbors
On the RESTful Web Services for Managing Application Virtualization Environments
Coding and Analytical Problems with Big Data When Conducting Research on Financial Crimes
Short Paper: User Identification across Online Social Networks Based on Similarities among Distributions of Friends' Locations
Steering a Standard Arab Language Processing Model Towards Accurate Saudi Dialect Sentiment Analysis Using Generative AI
Refining Image Search Results using Multiple Attributes
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
Deepfake Detection with Wavelet-Integrated Convolutional Networks
An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications
Tensor-based Complementary Product Recommendation
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
Super-CWC and super-LCC: Super fast feature selection algorithms
A Data Integration Approach to Estimating Personal Exposures to Air Pollution
Efficient counting of balanced (2, k)-bicliques in Signed Bipartite Graphs
NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed Workflows
Log Sculptor: Making Logs Great Again
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios
LSOMP: Large Scale Ordinance Mining Portal
WDCloud: An end to end system for large-scale watershed delineation on cloud
Object identification with Pay-As-You-Go crowdsourcing
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks
Stock Movement Prediction Using Mamba And Ensemble Learning
Big Data: Cloud computing in genomics applications
Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation
Method and Dataset Mining in Scientific Papers
Predicting treatment repetitions in the implant denture therapy process
Variable-based Learning Considering Topic Specificity in Heterogeneous Data Clustering Tasks
Capturing Infrastructure Interdependencies for Power Outages Prediction During Extreme Events
Don't Blindly Use Data: Towards a Data Statement for Computational Financial Research
Transfer Learning Effects on Image Steganalysis with Pre-Trained Deep Residual Neural Network Model
Towards a Cyber Aware Chatbot Service
E-Sketch: Gathering large-scale energy consumption data based on consumption patterns
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models
MQuery: A query language for scientific meshes
Understanding the Evolution in Tourist Behavior Patterns through Context-Aware Spatio-Temporal k-Means
Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks
Generating Phishing Attacks and Novel Detection Algorithms in the Era of Large Language Models
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning
Toward Human-in-the-Loop Collaboration Between Software Engineers and Machine Learning Algorithms
Repurposing recidivism models for forecasting police officer use of force
Differentially private query learning: From data publishing to model publishing
A GPU Algorithm for Detecting Contextual Outliers in Multiple Concurrent Data Streams
Visual Identification of Oysters Using Machine Learning
Legal Entity Disambiguation for Financial Crime Detection
Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits
Evaluating Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for High-dimensional Image Feature Search
Translation of Array-Based Graph Programs to Spark SQL on Block Arrays
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
Recurrent Traffic Demand Generation using Urban Traffic Simulation with Cell-based Behavior Model and Real Traffic Data
Disentangled Prompt Learning for Transferable, Multimodal, Few-Shot Image Classification
Connected health: Opportunities and challenges
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs
Turning big spatial data into smart routing
Research Hypothesis Generation Using Link Prediction in a Bipartite Graph
Temporal Adaptive Aggregation Network for Dynamic Graph Learning
One-shot learning for fine-grained relation extraction via convolutional siamese neural network
PER: A Probabilistic Attentional Model for Personalized Text Recommendations
SmartDT: An Effective Vulnerability Detection System of Smart Contracts Based on Deep Learning
Event-Based Multi-Modal Fusion for Online Misinformation Detection in High-Impact Events
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
Ranking the importance of ontology concepts using document summarization techniques
Online Spammer Detection using User-Neighbor Relationship
On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression
Forecast UPC-level FMCG demand, Part I: Exploratory analysis and visualization
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
Patentopia: A multi-stage patent extraction platform with disambiguation for certain semantic challenges
Smartphone Usage Data Cleaning Using LLM-Based Processing
Event detection from social network streams using frequent pattern mining with dynamic support values
Protecting Privacy in the Archives: Supervised Machine Learning and Born-Digital Records
SoMEF: A Framework for Capturing Scientific Software Metadata from its Documentation
Facilitating reproducible research by investigating computational metadata
Identifying Bipartite Subgraphs for Community Detection in Very Large Scale Cyber Networks
A grapheme-level approach for constructing a Korean morphological analyzer without linguistic knowledge
Deriving Real-time City Crowd Flows by Heterogeneous Big Urban Data
Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud
GPU accelerated item-based collaborative filtering for big-data applications
Estimation of national tourism statistics based on Wi-Fi association log data
Cell analytics in compound hit selection of bacterial inhibitors
Scalable parallel data loading in SciDB
Smart online vehicle tracking system for security applications
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks
Compressing large sample data for discriminant analysis
Towards methods for systematic research on big data
OSUMI: On-Shelf Utility Mining from Itemset-based Data
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification
Animating the Past: Reconstruct Trilobite via Video Generation
A Perspective on Data Categorization with Regard to Equity, Diversity, and Inclusion in Data Science
Open-Source Innovation in Practice: A Lean-Based Development Process Leveraging Open-Source Big Data Tools
SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure
Bibliometric-enhanced retrieval models for big scholarly information systems
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere
Event Time Extraction from Japanese News Archives
Edge Computing with Big Data Cloud Architecture: A Case Study in Smart Building
Domain-specific Topic Model for Knowledge Discovery through Conversational Agents in Data Intensive Scientific Communities
Predicting Taxonomic Identity and Genetic Composition of Codon Usage Bias Levels Using Deep Learning Models
Edge importance identification for energy efficient graph processing
MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data
A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
Lower Alertness entails More Cooperation: Evidence from Prisoner's Dilemma and Coordination Games
Understanding the value of (big) data
Improving Gamma Imaging in Proton Therapy by Sanitizing Compton Camera Simulated Patient Data using Neural Networks through the BRIDE Pipeline
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies
Multi-probe random projection clustering to secure very large distributed datasets
Digital Twins: Case Study of Energy Metaverse and Edge-Cloud Integration
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal
Multi-view graph learning with adaptive label propagation
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
Keymines: Extracting Minimal Keyphrases for Sub-Events in Disaster Situations
FL-Market: Trading Private Models in Federated Learning
Pairwise Learning to Rank for Chess Puzzle Difficulty Prediction
ATM Withdrawal Amount Forecasting Through Neural Architectures
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing
Metaverse Security and Privacy: An Overview
GraphFlow: Workflow-based big graph processing
Incremental and Adaptive Feature Exploration over Time Series Stream
Anomaly Detection in Edge Nodes using Sparsity Profile
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US
Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments
Scalable context-aware role mining with MapReduce
A Case Study on ChatGPT Question Generation
Random Forest-Supervised Manifold Alignment
Towards organizational change: a framework for evaluating trends and approaches in Gender Equality Plans
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit
HerdMonitor: Monitoring Live Migrating Containers in Cloud Environments
A bibliometric network analysis of Deep Learning publications applied into legal documents
ConOffense: Multi-modal multitask Contrastive learning for offensive content identification
Classification of "Hot News" for Financial Forecast Using NLP Techniques
An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis
Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG
Natural Joins for Schema-free Data
Big data impact on stability and reliability improvement of smart grid
Comparing Artificial Intelligence Techniques for Predicting Energy Consumption and Renewable Energy Production
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval
CacheIt: Application-Agnostic Dynamic Caching for Big Data Analytics
Considering the Blackbox: An Investigation of Optimization Techniques with Completely Balanced Datasets of Packet Traffic
Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions
Fast interpolation of grid data at a non-grid point
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification
Rethinking Embedding Vectors for Electric Vehicle Charging Stations: An Empirical Study
PromptRGD: Prompt Learning with Relation-aware Gradient Denoising for Low-resource Relation Extraction
Deep Federated Anomaly Detection for Multivariate Time Series Data
An Alternative Illustration to Generalize Sprague-Grundy Theorem
Agglomerative algorithm to discover semantics from unstructured big data
Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients
SKI: An Agile Framework for Data Science
Analyzing spatial data from twitter during a disaster
CRTRE: Causal Rule Generation with Target Trial Emulation Framework
Towards Predictive Lifetime-Oriented Temperature Control of Power Electronics in E-vehicles via Reinforcement Learning
A dynamic programming approach for 4D flight route optimization
Integrating Polystore RDBMS with Common In-Memory Data
Linked data platform for building cloud-based smart applications and connecting API access points with data discovery techniques
A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems
DRAKO: Differentially pRivate Algorithm to meet K-anonymity for Online portal service
GNN-ARG: A Graph Neural Network-based Framework for Predicting Antibiotic Resistance Genes
Text mining analysis of wind turbine accidents: An ontology-based framework
Multi-Source Selective Transfer Learning for Fake News Detection in New Event
Enhancing Forecasting for Advanced Air Mobility
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series
TV ratings vs. social media engagement: Big social data analytics of the Scandinavian TV talk show Skavlan
In-advance data analytics for reducing time to discovery
Untangling Mathematical Knots with Simulated Annealing and Opposition-Based Learning
MIS-IoT: Modular Intelligent Server Based Internet of Things Framework with Big Data and Machine Learning
Scheduling big data workflows in the cloud under budget constraints
An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks *
A framework to predict outcome for cancer patients using data from a nursing EHR
Piloting a theory-based approach to inferring gender in big data
A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic Prediction
Modular Deep Reinforcement Learning: Enhancing Flexibility through Agent Splitting
Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest
Gossip Learning: Off the Beaten Path
Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data
Noisy Subgraph Isomorphisms on Multiplex Networks
Multi-view Deep Markov Models for Time Series Anomaly Detection
Query sense disambiguation leveraging large scale user behavioral data
CS*: Approximate Query Processing on Big Data using Scalable Join Correlated Sample Synopsis
CATS: Contrastive learning for Anomaly detection in Time Series
Relationship between environmental management efforts and corporate performance
A characterization of big data benchmarks
Infrastructure for Innovative Research on Healthy Food Choice, Preparation and Consumption: A Position Paper on the RICHFIELDS project
VizObj2Vec: Contextual Representation Learning for Visual Objects in Video-frames
Federated Learning Attacks and Defenses: A Survey
Identifying and quantifying nonlinear structured relationships in complex manufactural systems
Analysis of Medical Incident Reports using Text Mining *
Sequential algorithms to split and merge ultra-high resolution 3D images
ICS Honeypot Interactions: A Latitudinal Study
Improving Recommendation Diversity Across Users by Reducing Frequently Recommended Items
A Scalable Algorithm for Multi-class Support Vector Machine on Geo-Distributed Datasets
IoCMiner: Automatic Extraction of Indicators of Compromise from Twitter
Optimization of system architecture for Big Data analysis in climate science
An Open Dataset for Deep Learning-based Earthquake Detection using MEMS Sensors
To link or not to link: Ranking hyperlinks in Wikipedia using collective attention
Bandwidth provision strategies for reliable data movements in dedicated networks
Efficient Time Series Classification Based on Learning Similar Trend Features in the Same Class Sequences
Enabling graph appliance for genome assembly
Region-based Cycle-Consistent Data Augmentation for Object Detection
Yellow cabs as red corpuscles
Techniques for fast and scalable time series traffic generation
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
Lung transplant outcome prediction using UNOS data
A Study on Solution Oriented Smart Factory Diagnostic System for SME
Benchmark of Data Preprocessing Methods for Imbalanced Classification
Analysis and Classification of Vaccine Dialogue in the Coronavirus Era
High-performance design of apache spark with RDMA and its benefits on various workloads
A Methodology for Cross-Platform, Event-Driven Big Data Analytics-as-a-Service
Toward Efficient Automation of Interpretable Machine Learning
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?
Understanding the Effect of COVID-19 on Fuel Consumption of Public Transportation: The Case Study of Chattanooga, TN
Efficient Selective Pre-Training for Imbalanced Fine-Tuning Data in Transfer Learning
Dynamic Memory Derived Graph learning for Spatio-Temporal Metro Flow Prediction
Efficient LiDAR point cloud data encoding for scalable data management within the Hadoop eco-system
Item-Based Collaborative Filtering and Association Rules for a Baseline Recommender in E-Commerce
Human-like Explanation for Text Classification With Limited Attention Supervision
VIGAN: Missing view imputation with generative adversarial networks
Parallel Decoders Guided Lexically Constrained Response Generation
Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness
Language identification in multilingual, short and noisy texts using common N-grams
CFM: A Consistency Filtering Mechanism for Road Damage Detection
Domain-specific hierarchical subgraph extraction: A recommendation use case
Federated Contrastive Learning of Graph-Level Representations
Scalable classification for large dynamic networks
Using big data analytics and IoT principles to keep an eye on underground infrastructure
Efficient Selectivity Estimation for Relation-Tree Joins in Multi-Model Databases
From Computational De-Morphogenesis to Contaminated Representation for the Contemporary Digital Tectonics and Lexicon : Vulnerability and Resilience of the Generative Representation in the Web-Oriented Platform - BIM/GD
Detection of Energy Theft in Smart Grids using Electricity Consumption Patterns
Toward Scalable Analysis of Multidimensional Scientific Data: A Case Study of Electrode Arrays
Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation
Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment
Macau: Large-scale skill sense disambiguation in the online recruitment domain
Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters
Development of a Continuous Complex Event Processing Platform for Real-Time Tactical Moving Objects
Does Sophisticating Double Arbiter PUF Design Ensure its Security? Performance and Security Assessments on 5-1 DAPUF
Exploring Various Applicable Techniques to Detect Smoke on the Satellite Images
Truth or Fiction: Multimodal Learning Applied to Earnings Calls
Forensic Analysis of Amazon Alexa Echo Dot 4 th Generation
LABDRIVE, a Petabyte scalable, OAIS/ISO 16363 conformant, for scientific research organisations to preserve documents, processed data, and software
SDFS: Secure distributed file system for data-at-rest security for Hadoop-as-a-service
A Bi-Objective Approach for Product Recommendations
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
PinterNet: A thematic label curation tool for large image datasets
Finding Skill Similarity Matrix Utilizing Expert Recommended Skill Clusters
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability
Enhancing Predictive Fairness in Deep Knowledge Tracing with Sequence Inverted Data Augmentation
Does Station-Town Space Design Change Pedestrians' Mobility in Urban Area?
Multivariate Wind Speed Forecasting based on Improved TDformer
Using automated enforcement data to achieve vision zero goals: A case study
Private databases on the cloud: Models, issues and research perspectives
Tula: A disk latency aware balancing and block placement strategy for Hadoop
Consolidating billions of Taxi rides with AWS EMR and Spark in the Cloud : Tuning, Analytics and Best Practices
Demystifying dark matter for online experimentation
The Lannion report on Big Data and Security Monitoring Research
Link before you share: Managing privacy policies through blockchain
(Vision paper) The effect of cognitive ability on sender behavior in dictator and ultimatum game experiments