yusuke1997/dblp-id-title huggingface dataset:
BiasedWalk: Biased Sampling for Representation Learning on Graphs
Named Entity Recognition on Morphologically Rich Language: Exploring the Performance of BERT with varying Training Levels
Understanding the impact of sampling and noise on detecting events using twitter
On the Use of Convolutional Neural Networks for Palm Vein Recognition
Do the Communities We Choose Shape our Political Beliefs? A Study of the Politicization of Topics in Online Social Groups
Gamified crowdsourcing for disaster risk management
Port Arrival Reservation System Using Auctions for Fuel Consumption Reduction
TabularFM: An Open Framework For Tabular Foundational Models
Analysis of the Influence of Internet TV Station on Wikipedia Page Views
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
3D Mesh Model Generation from CT and MRI data
Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Will Deep Learning Change How Teams Execute Big Data Projects?
Towards analyzing large graphs with quantum annealing
DisPatch: Distributed Pattern Matching over Streaming Time Series
StaTIX - Statistical Type Inference on Linked Data
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
Construction of clinical pathway from histories of clinical actions in hospital information system
Efficient keyword search on graphs using MapReduce
Exploring the mechanism of adjustment formula related to Siwu Decoction in the treatment of polycystic ovary syndrome based on network pharmacology
Industrial track: Architecting railway KPIs data processing with Big Data technologies
Towards Building Evacuation Planning Platform using Multimodal Transportation for a Large Crowd
Statistically-substantiated density characterizations of additively manufactured steel alloys through verification, validation, and uncertainty quantification
A scheduling strategy based on multi-queues of Cassandra
Towards Large Language Model Organization: A Case Study on Abstractive Summarization
Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering
Efficiently Predicting Scientific Trends Using Node Centrality Measures of a Science Semantic Network
A Federated Mining Framework for Complete Erasable Itemsets
Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning
A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction
A novel oversampling method based on SeqGAN for imbalanced text classification
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images
Demand response targeting using big data analytics
Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference
Revealing Patterns in Artificial Earthquake Misinformation: Detecting Stubborn Conspiracy Adherents through Social Media Analysis in Japan
Multi-Behavior Recommendation with Hyperbolic Geometry
Crude oil price forecasting base on an EEMD and multi-scale time series analysis combination methods
Drift Detection and Adaptation for Federated Learning in IoT with Adaptive Device Management
Combat COVID-19 at National Level using Risk Stratification with Appropriate Intervention
Deep Neural Networks for Social Media Word Segmentation of Asian Languages
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems
Difforecast: Image Generation Based Highway Traffic Forecasting with Diffusion Model
A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows
Fine-Tuning BERT Model for Materials Named Entity Recognition
Predicting Financial Suspicious Activity Reports with Online Learning Methods *
Data decomposition and dual clustering for clinical care management
Hierarchical Demand Forecasting for Factory Production of Perishable Goods
In-place Synchronisation of Hierarchical Archival Descriptions
Column Cache: Buffer Cache for Columnar Storage on HDFS
CkanFAIR: a digital tool for assessing the FAIR principles
Identifying the Popularity and Persuasiveness of Right- and Left-Leaning Group Videos on Social Media
TV Ad Events and Digital Search: On the Selection of Outcome Measures
Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns
Improving Knowledge Distillation for Federated Learning on Non-IID Data
Tuning Parallel Data Compression and I/O for Large-scale Earthquake Simulation
Abdominal Trauma Detection using Hybrid Quantum Machine Learning
An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets
User-profile-based analytics for detecting cloud security breaches
On the Large-scale Graph Data Processing for User Interface Testing in Big Data Science Projects
Islands of Interest: Mining Concentrations of User Search Intent over e-Commerce Product Categories
Visual inspection for illicit items in X-ray images using Deep Learning
Scaling Collaborative Filtering with PETSc
pSPICE: Partial Match Shedding for Complex Event Processing
Taking an electronic ticketing system to the cloud: Design and discussion
Evaluating density-based motion for big data visual analytics
A Preliminary Experimental Analysis on RateMyProfessors
Main memory evaluation of recursive queries on multicore machines
Can Deep Learning Do Everything in AI? An Exploration of Simple Examples in Image Segmentation
Augmenting the Communication Naturalness via A 3D Audio-Visual Virtual Agent for Collaborative Robots
Causal Fairness-Guided Dataset Reweighting using Neural Networks
Contextual reinforcement learning
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
Effects of Missing Members on Classifier Ensemble Accuracy
Determining feature extractors for unsupervised learning on satellite images
A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data
Centrality and Scalability Analysis on Distributed Graph of Large-Scale E-mail Dataset for Digital Forensics
Contradictory Ambiguous Revocable Assertion Tracker (CARAT) Encoding
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
Crowd-based best-effort number estimation
New factors for identifying influential bloggers
QualiFood: An Intelligent Quality Food Evaluation Using Logical Satisfiability Reasoning On Spark
A New Perspective for the Study of "Five Thousand Years of Chinese History ": Visual Analysis of Single Text and Time Series Text
An Effect Analysis of ISO/IEC 27001 Certification on Technical Security of Norwegian Grid Operators
SecP2I A Secure Multi-party Discovery of Personally Identifiable Information (PII) in Structured and Semi-structured Datasets
General Framework for Fast Implementation for Conversational Artificial Assistance for Applications to Enable Global Impact as Tech-for-Good in Law
Online inference for time-varying temporal dependency discovery from time series
The State and Future of Smart Agriculture: Insights from mining social media
Summarizing big graphs by means of pseudo-boolean constraints
Deep Multi-Head Attention Network for Aspect-Based Sentiment Analysis
A Fast Exact Viewshed Algorithm on GPU
Data streaming algorithms for the Kolmogorov-Smirnov test
Scalable Document Image Information Extraction with Application to Domain-Specific Analysis
RADU: Bridging the divide between data and infrastructure management to support data-driven collaborations
Enhancing Suicide Risk Detection with a Multisource Data Filtering and Fusion Optimization Framework (MDF-FOF)
The ML test score: A rubric for ML production readiness and technical debt reduction
Firefighting: Applying Deep Learning Algorithms for Real-time Fire Detection
Problematic Tokens: Tokenizer Bias in Large Language Models
Let the 'Perfect Voice' Always Be There, Positive Affirmation and Negative Anxiety from Online Commentary
Trusted cloud SQL DBS with on-the-fly AES decryption/encryption
GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI
Employing in-memory data grids for distributed graph processing
Application of an integer-valued autoregressive model to hit phenomena
Deployment and Application of Deep Learning Models under Computational Constraints
Exploring the Application of Large Language Models in Detecting and Protecting Personally Identifiable Information in Archival Data: A Comprehensive Study
Precision Grazing: when Agriculture, Livestock and Technology unite
Unsupervised Learning Boost Person Re-identification and Real World Application
Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data
Towards a High-Level Description for Generating Stream Processing Benchmark Applications
Novel Patrol Route Optimization Method Based on Big Data Analysis
Tree Labeled LDA: A Hierarchical model for web summaries
Combining Two Types of Database System for Managing Property Graph Data
Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural Networks
Development of A Wireless Power Transmission System for Agriculture Sensor Devices
Post-purchase recommendations in large-scale online marketplaces
Scalable cyber-security analytics with a new summary-based approximate query engine
Towards a definition of cyberspace tactics, techniques and procedures
Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection
Label Hierarchy Alignment for Improved Hierarchical Text Classification
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks
Mitigating DDoS with PoW and Game Theory
Solving Vehicle Routing Problem With Time Windows Based on Chaotic Adaptive Discrete Particle Swarm Optimization Algorithm
Next-term student grade prediction
Deep Neural Networks for Object Enumeration
Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT
Extensible Data Skipping
Machine learning at the limit
TruthCore: Non-parametric estimation of truth from a collection of authoritative sources
Large Language Model Empowered Spatio-Visual Queries for Extended Reality Environments
Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a Necessity
Effective Detection of Rare Anomalies from Massive Waveform Data Using Heterogeneous Clustering
Data quality challenges with missing values and mixed types in joint sequence analysis
Provenance comparison for large-scale knowledge discovery
An efficient multi-objective genetic algorithm for cloud computing: NSGA-G
Robust Adversarial Active Learning with a Novel Diversity Constraint
A Case Study in Creating Transparency in Using Cultural Big Data: The Legacy of Slavery Project
GreenDataFlow: Minimizing the Energy Footprint of Global Data Movement
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks
MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution Prediction
Massively Parallel Random Number Generation
Trajectory Cluster Lifecycle Analysis: An Evolutionary Perspective
CERBERE: Cybersecurity Exercise for Red and Blue team Entertainment, REproducibility
A performance study of big data analytics platforms
A Unified Framework to Assess Market Implications of Institutional Investments
Explanation-based Adversarial Detection with Noise Reduction
Weakly Supervised Deep Learning Approach in Streaming Environments
Clinical gait analysis: a gender medicine perspective
A "smart component" data model in PLM
Big Data Tools: Interoperability Study and Performance Testing
FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline
A Simple Approach to Balance Task Loss in Multi-Task Learning
Sanzu: A data science benchmark
Robust K-subspaces recovery with combinatorial initialization
When to Re-Draw a Sample, and Why
Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities
Server-Heartbeat-Based Task Failure Prediction: An Industrial Case Study
DCPViz: A Visual Analytics Approach for Downscaled Climate Projections
Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation
Preparing data managers to support open ocean science: Required competencies, assessed gaps, and the role of experiential learning
Machine Learning Methods for Improving Vulnerability Detection in Low-level Code
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification
A Study on Watching Support of Werewolf Game Using Log Data Analyzed with Machine Learning
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer
On the hyperbolicity of large-scale networks and its estimation
Realistic Transport Simulation with Open Data
Automated Kernel Search for Gaussian Processes on Data Streams
Data Context Adaptation for Accurate Recommendation with Additional Information
cgSpan: Closed Graph-Based Substructure Pattern Mining
Toward Robust Food Ontology Mapping
Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network
Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N Model
Obtaining Dyadic Fairness by Optimal Transport
A Cloud-Based Data Gathering and Processing System for Intelligent Demand Forecasting
Customer churn prediction in an internet service provider
Performance Prediction using Neural Network and Confidence Intervals: a Gas Turbine application
Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness
Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning
Scalable distributed change detection and its application to maritime traffic
Towards a domain-specific framework for predictive analytics in manufacturing
A Business Workflow Architecture for Predictive Maintenance using Real-Time Anomaly Prediction On Streaming IoT Data
Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation
Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep Learning
Precise Temperature Control for Sensitive Medicines
A Multi-Modal Approach to Sensing Human Emotion
A standard for benchmarking big data systems
Incomplete Multi-Kernel k-Means Clustering With Fractional-Order Embedding
Leveraging LLMs for Fair Data Labeling and Validation in Crowdsourcing Environments [Vision Paper]
Application of big data analytics for automated estimation of CT image quality
Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy
WS 2 F: A weakly supervised framework for data stream filtering
When IoT Meet LLMs: Applications and Challenges
Federated Learning with Bayesian Differential Privacy
Sensitive gazetteer discovery and protection for mobile social media users
Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data
Mobility Patterns of Trailers Around International Container Terminals: A Case Study in Sendai Port, Japan
Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion
Feedback Information on Cumulative Payoff in a Bandit Experiment: Meaningful Learning in Weighted Voting
Imbalance in the cloud: An analysis on Alibaba cluster trace
Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals
Measuring Mobile Applications Quality and Security in Higher Education
Safe data transmission in IoT system for air pollution monitoring
Personalized flight recommendations via paired choice modeling
Exploring Contextual Paradigms in Context-Aware Recommendations
A Geomagnetic Sensor Dataset for Traffic Flow Prediction
Sensorless Monitoring of Shipping Containers
America Tweets China: A fine-grained analysis of the state and individual characteristics regarding attitudes towards China
SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph
Towards Explainable Visual Emotion Understanding
A semantic approach to polystores
Audio-visual Neural Face Generation with Emotional Stimuli
Low Field MRI Deep Learning Framework for Non-Hospitalizing Early Detection and Characterization of Alzheimer's Disease Pathology
Extraction of Product Defects and Opinions from Customer Reviews by Using Text Clustering and Sentiment Analysis
Knowledge based dimensionality reduction for technical text mining
Massive Text Mining for Abnormal Market Trend Detection
Measure Contribution of Participants in Federated Learning
Parallel Hybrid Metaheuristics with Distributed Intensification and Diversification for Large-scale Optimization in Big Data Statistical Analysis
Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images
Big data provenance: Challenges, state of the art and opportunities
Impact of Buyer Strategy and Market Size on Data Marketplace Dynamics: A Network-Based Simulation Study
LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction
Language Identification and Context-based Analysis of Code-switching Behaviors in Social Media Discussions
Effects of language processing in Turkish authorship attribution
How Does Movie Production Determine Box Office? Tests of Mediation and Moderation Effects
Effective Guidance for Model Attention with Simple Yes-no Annotations
Decoding the Granular Puzzle of Macromolecules: Efficient 3D Protein Structure Alignment in the Age of Big Data with Apache Spark
Location prediction attacks using tensor factorization and optimal defenses
Using Hospital Information System Data to Estimate Nursing Care Needs
A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset
Understanding Online Information Operations: Development of an Influence Network for Scientific Inquiry Testing Environment (INSITE)
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
A Study on the Feasibility to Detect Hate Speech in Swedish
DeepManner: Automatically Determining Manner of Death
Distributed Community Detection in Large Networks using An Information-Theoretic Approach
MRA-DGCN: Multi-Range Attention-Based Dynamic Graph Convolutional Network for Traffic Prediction
Conditioning Neural Networks: A Case Study of Electricity Load Forecasting
Evaluating the impact of data placement to spark and SciDB with an Earth Science use case
Development of KARI-MT-InSAR Tool for Highly-Efficient Surface Deformation Monitoring Using Large-Scale SAR Data
IEEE BigData 2019 Cup: Binary Classification via Tensor Completion
Hierarchical management of large-scale malware data
Extracting discriminative shapelets from heterogeneous sensor data
Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets
Maximum Flow on Highly Dynamic Graphs
Approximate Distance-based Anomaly Detection at Massive Scale
Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups
National Security Intelligence through Social Network Data Mining
Scaling the monitoring of approximate top-k queries in streaming windows
Visualizations for sense-making in financial market regulation
Detecting errors in short-term electricity demand forecast using people dynamics
Designing Novel Functional Peptides by Manipulating a Temperature in the Softmax Function Coupled with Variational Autoencoder
A Proposal of Scalable and Performing Implementation of Algorithms forAnomaly and Community Detection
ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System
Efficient and Distributed Temporal Pattern Mining
A Generic Framework for Black-box Explanations
Identifying key factors in designing data spaces for Urban Digital Twin Platforms: a data driven approach
Evaluating Transformer Models for Suicide Risk Detection on Social Media
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Handling uncertainty in trajectories of moving objects in unconstrained outdoor spaces
Large Scale Financial Filing Analysis on HPCC Systems
Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
A study on the calibration of fingerprint classifiers
Big data system for information aggregation and model comparison for precison medicine
Towards real-time customer experience prediction for telecommunication operators
A focused review of ANN-based models for Predicting Absorption Maxima (λmax) of Dyes
Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD
LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach
Next-gen tools for big scientific data: ARM data center example
Interpretable and effective opinion spam detection via temporal patterns mining across websites
A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets
TRUExT: Trustworthiness Regressor Unified Explainable Tool
Conceptual design for comprehensive research support platform: Successful research data management generating big data from little data
Natural Language Processing to Understand Human Activities Impacted by Hydroelectric Energy Projects
An extended IoT framework with semantics, big data, and analytics
Building A Non-Personalized Recommender System by Learning Product and Basket Representation
Learning to Detect: A Semi Supervised Multi-relational Graph Convolutional Network for Uncovering Key Actors on Hackforums
A Strawberry Detection System Using Convolutional Neural Networks
Transpose-based Integrated Data Reduction Techniques for Speeding up Classifier Training
CStorage: An efficient classification-based image storage system in cloud datacenters
Personalized expertise search at LinkedIn
Course Scheduling to Minimize Student Wait Times For University Buildings During Epidemics
Data Generation for Photovoltaic Systems: Enhancing Accuracy with the Huld Model
Mask-cscGAN for realistic synthetic cell generation
Support Vector Machine for Predicting Student Dropout Under Different Normalization Methods
ClusterClean: a Weak Semi-Supervised Approach for Cleaning Data Labels
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks
An Overview of the Data-Loader Landscape: Comparative Performance Analysis
Accurate Spatial Mapping of Social Media Data with Physical Locations
Improving Data Science Applications with a Visual Cross-Platform Execution Environment
Towards a data-driven behavioral approach to prediction of insider-threat
Parallelized Topological Relaxation Algorithm
Road Damage Detection and Classification Based on Multi-Scale Contextual Features
Empirically Categorizing the Built Environment in Relation to Height
Measures of network centricity for edge deployment of IoT applications
Visually Analyzing A Billion Tweets: An Application for Collaborative Visual Analytics on Large High-Resolution Display
Inference of personal attributes from tweets using machine learning
Generalizing Design of Support Measures for Counting Frequent Patterns in Graphs
Cost-efficient partitioning of spatial data on cloud
Ecosystem-Based Wildfire Risk Prediction with Machine Learning
A tale of two cities: Analyzing road accidents with big spatial data
Relationship Discovery Graph of EU COVID Unique Vaccination Certificate Identifier (UVCI)