yusuke1997/dblp-id-title huggingface dataset:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
Suspicious Network Event Recognition Leveraging on Machine Learning
Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19
Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams
Governance framework for enterprise analytics and data
Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) Detection
Proactive preservation of world heritage by crowdsourcing and 3D reconstruction technology
Topic modelling enriched LSTM models for the detection of novel and emerging named entities from social media
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning
On Distributed Solution for Simultaneous Linear Symmetric Systems
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering
A Smart System for Selection of Optimal Product Images in E-Commerce
An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome Monitoring
Big Data Analysis on Social Networking
MCMalloc: A scalable memory allocator for multithreaded applications on a many-core shared-memory machine
Recommending forum posts to designated experts
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks
There goes Wally: Anonymously sharing your location gives you away
Leveraging Social Network Analysis to Explore Obesity Talks on Twitter
DRACO: Production Network Deployment and Evaluation of Deceptive Defense As-a-Service
Understanding the effects of concussion using big data
Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma
Discovering time-evolving influence from dynamic heterogeneous graphs
Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping
Extending the R Language with a Scalable Matrix Summarization Operator
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs
An experimental study of big spatial data systems
Prediction of Adult Chronic Kidney Disease with Class-Imbalanced Datasets
Mathematical Model Analysis of Photovoltaic-Induced Land Use Transition
Evaluating Sentiment C1assifiers for Bitcoin Tweets in Price Prediction Task
Sampling algorithms to update truncated SVD
Fighting fake news spread in online social networks: Actual trends and future research directions
Performing literature review using text mining, Part I: Retrieving technology infrastructure using Google Scholar and APIs
Community Detection using Semi-supervised Learning with Graph Convolutional Network on GPUs
Large-scale solar panel mapping from aerial images using deep convolutional networks
Large Scale Open Source Video Recommender Tool Using Metadata Surrogates
Adaptive scalable pipelines for political event data generation
Exploration Trade-offs in Web Recommender Systems
Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning
Outlier detection for large scale manufacturing processes
Mitigating Sycophancy in Large Language Models via Direct Preference Optimization
Promoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business
Identifying extremism in social media with multi-view context-aware subset optimization
Immersive visualization for materials science data analysis using the Oculus Rift
The SMART approach to comprehensive quality assessment of site-based spatial-temporal data
The exceptional and the everyday: 144 Hours in Kiev
Smart Home Forensics: An Exploratory Study on Smart Plug Forensic Analysis
NetSat: Network Saturation Adversarial Attack
Magnitude and Uncertainty Pruning Criterion for Neural Networks
Prediction of Movie Playback Based on Ordinal Support Vector Machine Classification
Cross-modal event summarization: A network of networks approach
Improving Database Security with Pixel-based Granular Encryption
Data analysis using hadoop MapReduce environment
Interpretable and robust hospital readmission predictions from Electronic Health Records
Higher-order Link Prediction Using Triangle Embeddings
Emotion Classification and Textual Clustering Techniques for Gang Intervention Data
Data analytics and uncertainty quantification for energy prediction in manufacturing
A Scalable, Geospatial Segmentation Method for Visiting Trend Analysis
Empirical Research in Anomaly Detection for Rotating Machines Diagnosis using Deep Learning
Digital content recommendation system using implicit feedback data
Predicting Liquidity Ratio of Mutual Funds via Ensemble Learning
A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter Acquisition
Virtualization I/O optimization based on shared memory
Towards Guaranteeing Error Bound in DCT-based Lossy Compression
User and entity behavior analytics for enterprise security
When remote sensing data meet ubiquitous urban data: Fine-grained air quality inference
Evenly Cascaded Convolutional Networks
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles
Performance Comparison of Julia Distributed Implementations of Dirichlet Process Mixture Models
Data Lakehouse for Time Series Data: A Systematic Literature Review
Big Data Analysis for Predicting Post-Earthquake Municipal Road Recovery
Exploring Open Source Information for Cyber Threat Intelligence
Towards Real-Time Public Health: A Novel Mobile Health Monitoring System
ConfliLPC: Logits and Parameter Calibration for Political Conflict Analysis in Continual Learning
A reconfigurable stream compression hardware based on static symbol-lookup table
Constraining Weighted Word Co-occurrence Frequencies in Word Embeddings
Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles
EvoBench - A Framework for Benchmarking Schema Evolution in NoSQL
GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs
PSQS: Parallel Semantic Querying Service for Self-describing File Formats
Vision Paper: Incorporating Domain Knowledge in Information Retrieval Systems to Streamline Incident Investigation
FESTH: Visual Tracking with Feature Enhancement and Space-time History Frame Networks
Modeling the learning behaviors of massive open online courses
Traces through time: A probabilistic approach to connected archival data
Refactoring ETL Flows in The Wild
Context-Aware Graph Convolutional Network for Dynamic Origin-Destination Prediction
Enhancing Edge Intelligence with Highly Discriminant LNT Features
Smart System for Multi-Cloud Pathways
WaveNets: Wavelet Channel Attention Networks
PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block Attention
Document classification through image-based character embedding and wildcard training
SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems
Lightweight video analytics for cycle time detection in manufacturing
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
Human activity recognition in big data smart home context
Indexing media storms on Flink
Reconsider Time Series Analysis for Insider Threat Detection
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams
On the prediction of >100 MeV solar energetic particle events using GOES satellite data
A system and architecture for reusable abstractions of manufacturing processes
Sketch and Scale Geo-distributed tSNE and UMAP
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Towards Unveiling Dark Web Structured Data
An interactive learning framework for scalable classification of pathology images
Enabling Provenance Tracking in Workflow Management Systems
Feature selection strategies for classifying high dimensional astronomical data sets
Luckiness Normalized Maximum Likelihood-based Change Detection for High-dimensional Graphical Models with Missing Data
OSD: An Occlusion Skeleton Dataset for Action Recognition
Estimation of online tool wear in turning processes using recurrence quantification analysis (RQA)
A Dynamic Sharding Protocol Design for Consortium Blockchains
Autonomous Drug Design with Multi-Armed Bandits
Analyzing the language of food on social media
HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks
Learning large-scale plantation mapping from imperfect annotators
A Study of Exact Ridge Regression for Big Data
Effective caching techniques for accelerating pattern matching queries
Research on Quality Prediction of Typical Workpieces Based on Feature Recombination and XGBoost Algorithm
Land Consolidation by Plot Exchange
VHT: Vertical hoeffding tree
Topic models for RFID data modeling and localization
Learning relaxed 3-clusters from pairs of related datasets
Smart Contracts: Legal Considerations
Personalized Federated Contrastive Learning
The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles
Implementation of Empath X SLA predictive tool for a Government Agency in Singapore
Network Fragility: Dual Graph Insights into Link and Node Removal Using Effective Resistance
Exploring Predictive Capabilities of GOES and SDO/EVE Data for Flare Forecasting
DeltaSherlock: Identifying changes in the cloud
Framework - Better Privacy on Online Social Networks and Beyond
Intersection Representation of Big Data Networks and Triangle Counting
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic
Snake in the Labyrinth: Scenes from the Machine's Deep Q-Learning Experience
Improving Representation Learning for Session-based Recommendation
High performance analysis of big spatial data
DQLearn : A Toolkit for Structured Data Quality Learning
Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets
Towards Open-Set Contract Clause Recognition
ADIU:An Antiquarian Document Image Unwarping Dataset
Verifying Relational Explanations: A Probabilistic Approach
Semi-supervised Configuration and Optimization of Anomaly Detection Algorithms on Log Data
Virtual-SRE For Monitoring Large Scale Time-series Data
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance
Enhancing Smart Grid Efficiency through AI Technologies
Multimodal Road Sign Interpretation for Autonomous Vehicles
Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy
Learning Relevant Molecular Representations via Self-Attentive Graph Neural Networks
Target-dependent Event Detection: A New Task to Event Extraction from News
The OceanLink project
Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding
Windfarm Forced Oscillation Detection Using Hyperdimensional Computing
An exploratory analysis on Agritech policies, innovations and funding for climate change mitigation
Protective effects of rheumatoid arthritis in septic ICU patients
DACMA: Designing space ordering optimizations to scalably manage aerial images
Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis
Privacy-Preserving Publishing with Generative Adversarial Network (GAN) for Supporting Contact Tracing of Infectious Diseases
Shallow Node Representation Learning using Centrality Indices
PROPS: Probabilistic personalization of black-box sequence models
Building A Large Collection of Multi-domain Electronic Theses and Dissertations
Triadic Social Structure Facilitates Backing for Crowdfunding Projects
Real-time sentiment analysis of Saudi dialect tweets using SPARK
Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit
FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models
Company recommendation for new graduates via implicit feedback multiple matrix factorization with Bayesian optimization
Enhanced Video BERT for Fast Video Advertisement Retrieval
Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier
GCI: A Transfer Learning Approach for Detecting Cheats of Computer Game
A Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks
Even Large Samples Have Challenges: Rare Events, Gaps, and Tails
Accelerating Geo-Distributed Transaction Processing with Fast Logging
Automatic Generation of Electronic Medical Record Based on GPT2 Model
Versatile Bengali OCR: Document Analysis Technique for Varied Document Styles and Content
Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning
Extending SPARQL with graph functions
Development of Fault Detection Algorithm using LP Pump Failure Data
Efficient diversified set monitoring for mobile sensor stream environments
How Do You Watch Music Video: "Watching or Listening?"
Automating Relevance Banding in e-Commerce Search using Click Model
Exploring Characteristics of Inter-cluster Machines and Cloud Applications on Google Clusters
Instance Matching in Knowledge Graphs Through Dynamic, Distributed and Affinity-Preserving Random Walk
Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams
Datalography: Scaling datalog graph analytics on graph processing systems
Finding Experiential Stress in Tweets by Utilizing both Explicit and Implicit Stress Data
Feeding the Digital Twin: Basics, Models and Lessons Learned from Building an IoT Analytics Toolbox (Invited Talk)
QED: Groupon's ETL management and curated feature catalog system for machine learning
Analytical toolbox for smart city applications: Garbage collection log use case
Harvey flooding rescue in social media
Exascale Deep Learning to Accelerate Cancer Research
Code Convention Adherence in Research Data Infrastructure Software: An Exploratory Study
Design and Implementation of Blockchain Data Analysis Platform
Mental Level Prediction using Long Sentence Discriminators and Language Generation Models
A multi-step decision prediction model based on LightGBM
HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency
Detecting Transistor Defects in Medical Systems Using a Multi Model Ensemble of Convolutional Neural Networks
CVExplorer: Multidimensional Visualization for Common Vulnerabilities and Exposures
Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform
Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations
Deep Pose Alignment
Privacy Preserving Proxy for Machine Learning as a Service
Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift
Distributed Real Time Link Prediction on Graph Streams
A metadata infrastructure for the analysis of parliamentary proceedings
Incremental learning for matrix factorization in recommender systems
Detecting unmetered taxi rides from trajectory data
EVRACE: Enhanced Visual Retrieval and Analysis for Large-Scale E-Bike Charging Curve Exploration
Forecast UPC-level FMCG demand, Part III: Grouped reconciliation
Comparison between spatial distributions of tweet base and population in Japan
Enhancing Data-Driven Predictive Modeling of Pedestrian Crowd Flow with Spatial Priors - Case Studies with Post-Event Crowd Data on a University Campus
Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images
Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications
PigOut: Making multiple Hadoop clusters work together
Algorithm-centered Approach to Improve Track Performance Monitoring with Rail Profile Data
Rhea: Adaptively sampling authoritative content from social activity streams
A data-driven approach for improving sustainability assessment in advanced manufacturing
A Mobility-Driven Approach to Modeling Building Energy
Comparing Ransomware using TLSH and @DisCo Analysis Frameworks
Re-projection of terabyte-sized images
Sparse computation for large-scale data mining
Digital Twin Space: The Integration of Digital Twins and Data Spaces
The digital transformation and smart data analytics: An overview of enabling developments and application areas
Where big data meets linked data: Applying standard data models to environmental data streams
Building Cybersecurity Ontology for Understanding and Reasoning Adversary Tactics and Techniques
Exchange Traded Fund Clustering via Metric Learning
Using Transformers for Identification of Persuasion Principles in Phishing Emails
Wearable sensor based human posture recognition
When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction
Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study
Fast reachability query computation on big attributed graphs
Focus location extraction from political news reports with bias correction
One-Class Learning Time-Series Shapelets
On mission Twitter Profiles: A Study of Selective Toxic Behavior
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction
Embedding-based Entity Expansion for Data Augmentation in Materials Science
Automated Event Prioritization for Security Operation Center using Deep Learning
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019
Bias reduction of peer influence effects with latent coordinates and community membership
Email Embeddings for Phishing Detection
BASIC: An alternative to BASE for large-scale data management system
Benchmarking Human and Automated Prompting in the Segment Anything Model
Identifying Salient Entities of News Articles Using Binary Salient Classifier
Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network
HFSP: Size-based scheduling for Hadoop
A framework for large-scale bacterial motility behavior analysis
GPU-based parallel algorithm for generating massive scale-free networks using the preferential attachment model
Automatic Landmark Placement for Large 3D Facial Image Dataset
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales
Dynamic Creative Optimization in Verizon Media Native Advertising
Accelerating an On-Line Approximation Mining for Large Closed Itemsets
RAGFix: Enhancing LLM Code Repair Using RAG and Stack Overflow Posts
SE-CDA: A scalable and efficient community detection algorithm
Method for Customizable Automated Tagging: Addressing the problem of over-tagging and under-tagging text documents
A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads
Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting
Place Representation Based Bike Demand Prediction
Parallel information fusion method for microarray data analysis
Integrating Data Mining and Data Management Technologies for Scholarly Inquiry
Context-aware Adaptive Outlier Detection in Trajectory Data
Auto-categorization methods for digital archives
RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR Spectra
Saving costs with a big data strategy framework
Enterprise Architecture - A Value Proposition for Records Professionals
UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning
Preliminary Studies on a Large Face Database
Ordalia: Deep Learning Hyperparameter Search via Generalization Error Bounds Extrapolation
Computational curation of a digitized record series of WWII Japanese-American Internment
Scaling Out Multi-Way Stream Joins using Optimized, Iterative Probing
Comparing Implementation Variants Of Distributed Spatial Join on Spark
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China
Scaling character-based morphological tagging to fourteen languages
Extreme scale breadth-first search on supercomputers
Enriching Skill Taxonomies through Vector Space Models
Nine Questions to Evaluate a Data Science Team's Process: Exploring a Big Data Science Team Process Evaluation Framework Via a Delphi Study
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use
ART-2b: Adapted ART-2a for large scale data clustering on PM2.5 mass spectra
A Comparative Study on Key Generation in Wireless Sensor Networks
Concise essence-preserving big data representation
Root Cause Detection using Dynamic Dependency Graphs from Time Series Data
Describing and Predicting COVID19 Evolution Using Pandemic Equation
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation
Landmark Seasonal Travel Distribution and Activity Prediction Based on Language-specific Analysis
Typhon: Parallel Transfer on Heterogeneous Datasets for Cancer Detection in Computer-Aided Diagnosis
How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics?
GenAI Tools to Improve Data Science Project Outcomes
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
Integrating semantic knowledge into Tag-LDA model through cloud model
Interpreting and Evaluating Black Box Models in a Customizable Way
ClinicSum: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations
Converging Blockchain and Social Business for Socio-Economic Development
H2O: A hybrid and hierarchical outlier detection method for large scale data protection
Using Real-World Store Data for Foot Traffic Forecasting
SciSpark: Highly interactive in-memory science data analytics
A Methodology and a Toolbox to Explore Dataset related to the Environmental Impact of HTTP Requests
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning
A Labeling Task Design for Supporting Recent Algorithmic Needs
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification
Appley: Approximate Shapley Value for Model Explainability in Linear Time
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine
Supervised Key Terms Clustering for Regulatory Monitoring
An Empirical Study of Rabin Fingerprinting Parameters
Adaptive Budget Allocation for Cooperative Task Solving in Crowdsourcing
An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams
Thoughts on Edge Sensing and Processing
A Data-Driven Approach to Kinematic Analytics of Spinal Motion
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
Control and Prevention of Personal Stress
Interactive Visualization of BioMedical Data
Mining top-up transactions and online classified ads to predict urban neighborhoods socioeconomic status
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0
Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues
Dynamic visualization of large scale tactical network simulations
A novel initialization method for particle swarm optimization-based FCM in big biomedical data
Big active learning
Big social data analytics for public health: Comparative methods study and performance indicators of health care content on Facebook
A comprehensive study of food prices and food fraud in the European Union
Quantifying the Relevance of Youth Research Cited in the US Policy Documents
Granular Computing based Comparison of Agglomerative Clustering
Evaluating Blocking Biases in Entity Matching
MMC-margin: Identification of maximum frequent subgraphs by metropolis Monte Carlo sampling
Enhancing Trust and Safety in Digital Payments: An LLM-Powered Approach
A Policy-based Approach for Measuring Data Quality