yusuke1997/dblp-id-title huggingface dataset:
Linked data view methodology and application to BIM alignment and interoperability
Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs
Identifying Regions of High Demand for Transportation Services based on Cluster Evolution and Graph Analysis
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review
Maximizing Contrasting Opinions in Signed Social Networks
Adaptive Aggregation For Federated Learning
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data
Quantifying Collective Emotions: Japan's Societal Trends Through Enhanced Sentiment Index Using POMS2 and SNS
An infrastructure for automating large-scale performance studies and data processing
Ontology-drive data access at the NASA earth exchange
Language, cultural influences and intelligence in historical gazetteers of the Great War
Event-based Product Carousel Recommendation with Query-Click Graph
Autoencoder-based Anomaly Detection in Smart Farming Ecosystem
TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data
How interesting images are: An atypicality approach for social networks
Managing hot metadata for scientific workflows on multisite clouds
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset
New Profile Recommendation Approach Based on Multi-Criteria Algorithm
Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach
3D Modeling of Cities for Virtual Environments
NeuralCubes: Deep Representations for Visual Data Exploration
Two-level clustering fast betweenness centrality computation for requirement-driven approximation
Track geometry big data analysis: A machine learning approach
A Decoupled Data Pipeline and its Reliability Assessment: Case Study in Extreme Climatic Humans Studies
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer
LogProv: Logging events as provenance of big data analytics pipelines with trustworthiness
Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis
IEEE BigData 2021 Cup: Soft Sensing at Scale
Graph Neural Network Tells Us Who is the Communication Enhancer
American Sign Language Recognition using Deep Learning and Computer Vision
Mining High-Utility Sequential Patterns in Uncertain Databases
Predicting efficacy of therapeutic services for autism spectrum disorder using scientific workflows
Scientific findings as big data for research synthesis: The metaBUS project
Causal Associations between Temporal Events
Metadata extraction and correction for large-scale traffic surveillance videos
Road safety estimation utilizing big and heterogeneous vehicle recorder data
A Proficient Spelling Analysis Method Applied to Herbal and Dietary Supplement Discovery in a Large Clinical Corpus
Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models
Toward the Utilization of Artificial Intelligence in Life Sciences: A Voluntary Medical Data Provisioning Model
Analyzing Evolving Trends of Vulnerabilities in National Vulnerability Database
Mining Vessel Trajectories for Illegal Fishing Detection
CELAR: Automated application elasticity platform
Store Congestion Forecast under the Pandemic using Point of Sales Statistics
Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand
Visually programming dataflows for distributed data analytics
The Code rebalancing problem for a storage-flexible Data Center Network
Heterogeneous stream processing for disaster detection and alarming
Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation
Application specific traffic control using network virtualization node in large-scale disasters
Efficient Bayesian Network Construction for Increased Privacy on Synthetic Data
Overhead Projection Approach For Multi-Camera Vessel Activity Recognition
Scalable dental computing on cyberinfrastructure
A Case Study on Start-up of Dataset Construction: In Case of Recipe Named Entity Corpus
Flexible Partitioning of Geographical Information based on GPS Coordinates for k-Anonymity
Evaluation of Alignment: Precision, Recall, Weighting and Limitations
Event-driven Rerouting Framework for Agent Behavior in Urban Traffic Simulation
Synergizing Measurement Science and Artificial Intelligence in Smart Agriculture
Towards automated quality curation of video collections from a realistic perspective
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds
Explainability of Leverage Points Exploration for Customer Churn Prediction
An Organizational Framework of Institutional Stakeholder Engagement for Capacity to Support Big Data Science Teams Towards Cyberinfrastructure Diffusion
Online video ad measurement for political science research
Effective and Efficient Big OLAP Data Cube Compression in Mobile Cloud Environments: The IQTS Algorithm
European data spaces for urban digital twins: user-and implementation-driven recommendations
Analyzing Data Sets for ML-driven Fraud Detection in SAP Systems
The forecast of the AGV battery discharging via the machine learning methods
Utility-Driven Mining of High Utility Episodes
Breathing detection using thermal facial landmark with DICOM file
Enabling Real-Time Low-Cost Spectral Analysis on Edge Devices with Deep Neural Networks: a Robust Hybrid Approach
Deep Video Action Recognition Models for Assessing Cardiac Function from Echocardiograms
Transfer learning algorithms for autonomous reconfiguration of wearable systems
Gradient-based signatures for big multimedia data
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning
Intelligent Feature Engineering for Cybersecurity
A Short Survey on Forest Based Heterogeneous Treatment Effect Estimation Methods: Meta-learners and Specific Models
From Viewing to Purchasing: the Moderating Effects of Lucky Draw in Live-Streaming Commerce
Data-driven Digital Twin approach for process optimization: an industry use case
A Feedback-based Decision-Making Mechanism for Actor-Critic Deep Reinforcement Learning
IEEE BigData 2019 Cup: Suspicious Network Event Recognition
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
Optimizing Road Damage Detection with YOLOv10: A Resource-Efficient Approach Utilizing Augmentation, Data Sampling, and Hyperparameter Tuning
Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future Directions
Identifying Precursors to Long-Term Crisis in Veterans Using Associative Classifier
Threat Modeling for Machine Learning-Based Network Intrusion Detection Systems
Predicting glaucoma progression using multi-task learning with heterogeneous features
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions
TRANSQLATION: TRANsformer-based SQL RecommendATION
Identifying Influences to Information Security Framework Adoption: Applying a Modified UTAUT
Methods for Addressing the Societal Challenges of Malicious Narratives in Social Media Using AI/ML Analysis: a Case Study of Hate Speech
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
No Time to Choose: Leveraging Internet Scans to Determine IoC Lifetimes
Point of interest recommendation with social and geographical influence
AWEB to Bridge Cybersecurity Attack Patterns and Weaknesses
CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps
Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data
TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking
Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak
SLWM: A Library for Implementing Complex Training Workflows for surrogates of MPC's
Towards a taxonomy of standards in smart data
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams
Process mining approach for Multi-Cloud SLA Reporting
Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness
An AutoEncoder-based Numerical Training Data Augmentation Technique
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices
Plot arceology: A vector-space model of narrative structure
Identifying Rapidly Evolving Genes in Coral Species to Better Understand Coral Bleaching
Scalable attack propagation model and algorithms for honeypot systems
A Novel Weighted FP-Stream Algorithm for IoT Data Streams
Image Segmentation for Dust Detection Using Semi-supervised Machine Learning
Fast Computation of Persistent Homology with Data Reduction and Data Partitioning
A Knowledge Graph Framework for Organizing Heterogeneous Datasets for Utilization in Classical and Quantum Computing: Current Challenges and Future Directions
The UN General Assembly Voting Coincidence and Clustering Analysis
Optimal Scheduling Algorithms for Cost-Effective Bandwidth Reservation in HPNs
A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO's Video Campaigns
Crack random forest for arbitrary large datasets
Improving efficiency of maximizing spread in the flow authority model for large sparse networks
Predicting escalations in customer support with gradient boosting at the IEEE BigData 2020 Cup
Multi-agent Simulation for Mass School Shootings
Security validation testing environment in the cloud
A Hadoop-based visualization and diagnosis framework for earth science data
Regression Yield Analysis for Semiconductor Manufacturing Based on Fabrication Conditions
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning
Manifold Curvature Estimation for Neural Networks
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic
Interval cracking and its application to databases of complex geometries
SpEnD portal: Linked data discovery using SPARQL endpoints
Targeted High-Utility Itemset Querying
Parallel Particle Swarm Optimization (PPSO) clustering for learning analytics
Concept and Analysis of Information Spaces to improve Prediction-Based Compression
News Recommender System Considering Temporal Dynamics and News Taxonomy
Improving cyber-attack predictions through information foraging
Study on the relationship between house rent and people congestion by time in Tokyo based on mobile phone GPS data
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
Enhanced Data Augmentation using GANs for Raman Spectra Classification
BBVA AI Factory at FinCausal 2023: a RoBERTa Fine-tuned Model for Causal Detection
Toward Filament Segmentation Using Deep Neural Networks
Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data
Implicit order join: Joining log data with property data by discovering implicit order-oriented keys with human assistance
Automated microsoft office macro malware detection using machine learning
Stock Price Prediction Under Anomalous Circumstances
Feature selection for text clustering in limited memory using Monte Carlo wrapper
A fast non-volatile memory aware algorithm for generating random scale-free networks
On non-intrusive prediction of activities and behavior
GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study
Towards Biological Sequence Data Service with Insights
ATADA: Adaptive Time Aware Anomaly Detection Approach for Real-Time Intelligent Transportation Systems
SoK: Prompt Hacking of Large Language Models
Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL
Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities
Melanoma Classification using GAN based augmentation and Self-Supervised feature extraction
An Effective, Robust and Fairness-aware Hate Speech Detection Framework
Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis
Encoding Broad Learning System : An Effective Shallow Model For Anti-fraud
Task Failure Prediction in Cloud Data Centers Using Deep Learning
The Effectiveness of Edge Centrality Measures for Anomaly Detection
Three-hop distance estimation in social graphs
The Dimensional Analysis of Data Flow Programs That Include Multidimensional and User-Defined Functions
Taxi trip time prediction using similar trips and road network data
Emotion Classification of Lyrics through Summarization by Large Language Models
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning
Fast scalable selection algorithms for large scale data
Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection
BEAD: Batched Evaluation of Iterative Graph Queries with Evolving Analytics Demands
Developer toolchains for large-scale analytics: Two case studies
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks
A low maintenance particle pollution sensing system using the Minimum Airflow Particle Counter (MAPC)
Classification of Various Daily Activities using Convolution Neural Network and Smartwatch
Residual Connection based TPA-LSTM Networks for Cluster Node CPU Load Prediction
Temporal Knowledge Graph Question Answering Models Enhanced with GAT
A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data
Varying Adaptive Ensemble of Deep Detectors for Road Damage Detection
Language independent big-data system for the prediction of user location on Twitter
Unsupervised Learning Approaches for Construction of Malware Families
Improving data quality through high precision gender categorization
Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation
Content-based Analysis of the Cultural Differences between TikTok and Douyin
Navigating the Future Data-Driven Automation Tools: State-of-the-Art and Research Roadmap for Digital Twins of Energy Systems
Constructing Knowledge Graph from Cyber Threat Intelligence Using Large Language Model
Evaluation and validation of an artificial neural network for predicting the performance of a desiccant coated heat exchanger
Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streams
Multi-View Latent Diffusion
Reliable Time Series Counterfactual Explanations Guided by ShapeDBA
EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction
Big data analytics on high Velocity streams: A case study
Connecting MapReduce Computations to Realistic Machine Models
A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics
A distributed proximal gradient descent method for tensor completion
FedCali: Mitigating Overgeneralization for Anomaly Detection in Distributed Sensor Environments
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Crop Loss Estimation in Maize Agriculture: A Deep Learning Perspective
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)
Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference
Efficient Data Selection Indicators for Updating Models under Data Drifted Environment
Local Outlier Detection for Multi-type Spatio-temporal Trajectories
Image Quality Assessment Based on BIQI with Gray Beep
Application of Carbon Footprint Clustering by Machine Learning Aids Carbon Emission Reduction in Thrifty Food Plan Optimization
Toward locality-aware scheduling for containerized cloud services
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
A Robust Classifier under Missing-Not-at-Random Sample Selection Bias
Solving cold-start problem in large-scale recommendation engines: A deep learning approach
Estimating Water Storage from Images
Using Governance and Adaptive Normative Multiagent Systems for Dynamic Vehicle Platoon Formation
A Framework for Recommendation Algorithms Using Knowledge Graph and Random Walk Methods
A Scalable and Robust Framework for Data Stream Ingestion
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
A gamma-based regression for winning price estimation in real-time bidding advertising
Convergence and divergence in academic and industrial interests on IOT based manufacturing
Spatiotemporal range pattern queries on large-scale co-movement pattern datasets
Some Issues on Empirical Experiments and Ethical Rules for Knowledge Engineering Research in Interdisciplinary Fields
Preparing, storing, and distributing multi-dimensional scientific data
AutoHighlight : Automatic Highlights Detection and Segmentation in Soccer Matches
Extremist discourse on alt-right sub-reddit: An Inferential Network Analysis Approach
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning
A demonstration of B-EagleV Visualizing massive point cloud directly from HDFS
Approximate Querying for the Property Graph Language Cypher
YOLOv5s-BSS: A Novel Deep Neural Network for Crack Detection of Road Damage
Regular expression acceleration on the micron automata processor: Brill tagging as a case study
Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework
PsiDB: A Framework for Batched Query Processing and Optimization
Efficient near-duplicate document detection using FPGAs
Profiling subscribers according to their internet usage characteristics and behaviors
The OTree: Multidimensional Indexing with efficient data Sampling for HPC
Big data and HPC collocation: Using HPC idle resources for Big Data analytics
Basket Recommendation with Multi-Intent Translation Graph Neural Network
A visualized data analysis for bogus business entity detection
Characterizing Spontaneous Ideation Contest on Social Media: Case Study on the Name Change of Facebook to Meta
OSDA-ST: Advancing Open Set Domain Adaptation Through Selective Thresholding in Remote Sensing
Big Data: Challenges, practices and technologies: NIST Big Data Public Working Group workshop at IEEE Big Data 2014
A GNN-based Approach for Detecting Network Anomalies from Small Traffic Samples
An efficient scheme to ensure data availability for a cloud service provider
Highly consolidated servers with container-based virtualization
Exploring big data in small forms: A multi-layered knowledge extraction of social networks
Exploring the Potential of Modern Advanced Metering Infrastructure in Low-Voltage Grid Monitoring Systems
Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach
A Novel Lasso Regression Model for Sector Rotation Trading Strategies with "Economy-Policy" Cycles
Graph Based CIA in Requirements Engineering
Energy-Aware Query Processing: A Case Study on Join Reordering
On a new approach to the index selection problem using mining algorithms
The impact of product descriptions on customers' trust in sellers and purchase intention
Identification of SNP interactions using data-parallel primitives on GPUs
Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments
Sampling labelled profile data for identity resolution
MH Pose: 3D Human Pose Estimation based on High-quality Heatmap
Regularized and sparse stochastic k-means for distributed large-scale clustering
An entropy-based analytic model for the privacy-preserving in open data
A Bayesian LSTM Model to Evaluate the Effects of Air Pollution Control Regulations in China
Evaluating the impacts of code-level performance tunings on power efficiency
Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking
Attention-based Malware Detection of Android Applications
Deep parallelization of parallel FP-growth using parent-child MapReduce
P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data
An Ensemble of One-Stage and Two-Stage Detectors Approach for Road Damage Detection
Priority register: Application-defined replacement orderings for ad hoc reconciliation
A Density-based Preprocessing Technique to Scale Out Clustering
Efficiently extracting frequent subgraphs using MapReduce
Energy Anomaly Detection with Forecasting and Deep Learning
Data treatment from the viewpoint of granular computing
A low-cost IoT-based Smart Farming System For Crop Recommendation and Resource Management
Characterizing Evolutionary Trends in Temporal Knowledge Graphs with Linear Temporal Logic
High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm
Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data
ABM: Attention-based Message Passing Network for Knowledge Graph Completion
Reactive Microservices in Commodity Resources
Fairness Metrics: A Comparative Analysis
Improving Fingerprint Classification Accuracy Using Image Enhancement Deep Learning Models
RAGe Against the Machine with BERT for Proactive Cybersecurity Posture
Energy-efficient acceleration of big data analytics applications using FPGAs
Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications
Filtering Methods for Subgraph Matching on Multiplex Networks
Fast Binary Network Hashing via Graph Clustering
Enhancing Learned Index for A Higher Recall Trajectory K-Nearest Neighbor Search
Active Learning for the Subgraph Matching Problem
Processing Large Satellite Imagery to Estimate Solar Irradiance
DC 2 : A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
Toward Explainable Recommendations: Generating Review Text from Multicriteria Evaluation Data
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting
Experimental Evaluation of CNN Parameters for Text Categorization in Legal Document Review
Geographical Insights into Suicide Mortality Through Spatial Machine Learning
Practical Experiment of Predicting Cash Flows with LSTM and Double-entry Bookkeeping Data
Weighted Focus-Attention Deep Network for Fine-grained Image Classification
An incremental approach for the detection of legend text in digital maps
Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes
Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams
Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network
Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution
An adaptive information-theoretic approach for identifying temporal correlations in big data sets
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks
Fusing Speech and Language Models for Dementia Detection
Forecasting Nike's sales using Facebook data
Modular Deep Learning for Big Data: Motivation, Challenges, and Approaches
On Optimization of Stock Market Prediction Methods
Too big to mail: On the way to publish large-scale mobile analytics data
[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI
A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning
Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval
Big data analysis reveals an emerging change in academia-industry collaborations in the era of digital convergence
Crowdsensing and analyzing micro-event tweets for public transportation insights
Watermarking Based Data Spoofing Detection Against Speech Synthesis and Impersonation with Spectral Noise Perturbation
Applying Homomoprhic Encryption to Data Spaces Takashi Michikata