yusuke1997/dblp-id-title huggingface dataset:
#Anorexia, #anarexia, #anarexyia: Characterizing online community practices with orthographic variation
A big data driven model for taxi drivers' airport pick-up decisions in New York City
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Clairvoyant-push: A real-time news personalized push notifier using topic modeling and social scoring for enhanced reader engagement
Continual Neural Network Model Retraining
Business understanding, challenges and issues of Big Data Analytics for the servitization of a capital equipment manufacturer
Monitoring Recombinant Protein Titer in Escherichia Coli Fermentations Using Filtering Techniques
FedISMH: Federated Learning Via Inference Similarity for Model Heterogeneous
An Autonomous Maximum Speed Control Considering Boarding Weight For Safe E-scooter Driving
Improving clustering efficiency by SimHash-based K-Means algorithm for big data analytics
Multiway Analysis of bridge structural types in the National Bridge Inventory (NBI): A tensor decomposition approach
How Useful is Meta-Recommendation? An Empirical Investigation
Performance Comparison for Deep Learning-Based Personal Identification from the database of ECG and EMG singals
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions
Method for estimating cycle lengths from multidimensional time series: Test cases and application to a massive "in silico" dataset
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset
A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences
A data-driven approach towards patient identification for telehealth programs
Test Set Optimization by Machine Learning Algorithms
Study Group Travel Behaviour Patterns From Large-Scale Smart Card Data
Large scale author name disambiguation in digital libraries
The Deep Film Access Project: Ontology and metadata design for digital film production assets
Characterizing super spreading in microblog: An epidemic-based model
Open Data Lake to Support Machine Learning on Arctic Big Data
An IoT-Driven Smart Cafe Solution for Human Traffic Management
Clustered Hierarchical Anomaly and Outlier Detection Algorithms
Identifying and mitigating risks to the quality of open data in the post-truth era
Recovery-oriented Big Data Computing for Exactly Once Message Processing
Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning
Sketches: Fast Membership Scans for Continuous Variable Predicate Workloads
Evolving Perceptions of Mental Health on Social Media and their Medical Impacts
A multi-layer software architecture framework for adaptive real-time analytics
Design of AI-Enhanced Drug Lead Optimization Workflow for HPC and Cloud
Visualization and rhetoric: Key concerns for utilizing big data in humanities research: A case study of vaccination discourses: 1918-1919
A new parallel python tool for the standardization of earth system model data
An Assistive Learning Workflow on Annotating Images for Object Detection
Continuous real-time anomaly detection in the flexible production: D2Lab-based use case
Top (k1, k2) Distance-based outliers detection in an uncertain dataset
VisReduce: Fast and responsive incremental information visualization of large datasets
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations
The human face of crowdsourcing: A citizen-led crowdsourcing case study
DelayRadar: A multivariate predictive model for transit systems
Design for Data Structures: Data Unification and Federation with Wikibase
TopHUI: Top-k high-utility itemset mining with negative utility
SwissFinder: Identifying Swiss Websites from Unstructured Content
Topological Data Analysis in an Economic Context: Property Tax Maps
A Cloud-Based Key Rolling Technique for Alleviating Join Procedure Replay Attacks in LoRaWAN-based Wireless Sensor Networks
MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance
LogGPT: Log Anomaly Detection via GPT
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment
Hoagie: A Database and Workload Generator using Published Specifications
Proposing an Interactive Audit Pipeline for Visual Privacy Research
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
Multi-State Brain Network Discovery
OTPS: A decision support service for optimal airfare Ticket Purchase
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]
An End-to-End Context Aware Anomaly Detection System
Perceptual-IQ: Visual Commonsense Reasoning about Perceptual Imagination
Secure Decoupled Linkage (SDLink) system for building a social genome
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space
Rectangular hash table: Bloom filter and bitmap assisted hash table with high speed
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts
Service Time Prediction for Last-Yard Delivery
Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated Learning
Performing literature review using text mining, Part II: Expanding domain knowledge with abbreviation identification
Optimizing Privacy While Limiting Information Loss in Distributed Data Anonymization
Using google analytics to support cybersecurity forensics
A relational database schema on the transactional key-value store scalaris
Development and Evaluation of Embedding Methods for Graphs with Multi Attributes
DyMGCN: Dynamic Multi-Graph Convolution Networks for Spatio-Temporal Forecasting
CH3: A Mixed Workload Benchmark for Scalable NoSQL
Common Pitfalls with Data Deduplication Parameters and Metrics
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine
Exploring Image Segmentation Techniques to Detect High Latitude Dust on Satellite Images
gSPICE: Model-Based Event Shedding in Complex Event Processing
Antecedents of big data quality: An empirical examination in financial service organizations
Customizing Contextualized Language Models for Legal Document Reviews
Novel Online Algorithms for Nonparametric Correlations with Application to Analyze Sensor Data
NUMA-optimized parallel breadth-first search on multicore single-node system
File Toolkit for Selective Analysis & Reconstruction (FileTSAR) for Large-Scale Networks
Comparison of Deep Learning Technologies in Legal Document Classification
Position-sensitive propagation of information on social media using social physics approach
Extraction of Power Consumption Patterns using Non-negative Tucker Decomposition
Single-cell regulatory network inference and clustering from high-dimensional sequencing data
A Predictive Analytics Framework for Insider Trading Events
GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs
Record-aware compression for big textual data analysis acceleration
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting
Cost-sensitive optimization of automated inspection
Organizing a Content Profile for a Large, Heterogeneous Collection of Interactive Projects
Spatial data analysis of complex urban systems
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Anuj@IEEE BigData 2019: A Novel Code-Switching Behavior Analysis in Social Media Discussions Natural Language Processing
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation
Fuzzy High-Utility Pattern Mining based on the Hadoop Framework
Scalable data citation in dynamic, large databases: Model and reference implementation
Merchant Category Identification Using Credit Card Transactions
Cognitive map of tourist behavior based on Tripadvisor
Twitter-enhanced Android malware detection
Real-time traffic incident detection using probe-car data on the Tokyo Metropolitan Expressway
Social set visualizer: A set theoretical approach to big social data analytics of real-world events
A community driven social recommendation system
Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies
Accelerating collaborative filtering using concepts from high performance computing
Real-Time Detection of Fake-Shops through Machine Learning
Regularized Operating Envelope with Interpretability and Implementability Constraints
Performance Evaluation of Tree-based Models for Big Data Load Forecasting using Randomized Hyperparameter Tuning
Visualization for enabling human-in-the-loop in trace clustering-based process mining tasks
Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract)
Revisiting LSM-Tree-Based Key-Value Stores for ZNS SSDs
Performance characterization and acceleration of big data workloads on OpenPOWER system
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection
Learning Similarity-Preserving Meta-Embedding for Text Mining
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware
On mixing high-speed updates and in-memory queries: A big-data architecture for real-time analytics
Automated Synthesis of Distributed Code from Sequential Snippets Using Deep Learning
Optimizing queries over semantically integrated datasets on MapReduce platforms
SmartCache: Application layer caching to improve performance of large-scale memory mapping
Agglomerative co-clustering for synonymous phrases based on common effects and influences
An Interactive Online Audience Extension System
The Link Regression Problem in Graph Streams
Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models
Adaptive Community Search in Dynamic Networks
Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments
Sharp Frequency Bounds for Sample-Based Queries
Modelling Hybrid Human-Artificial Intelligence Cooperation: A Call Center Customer Service Case Study
GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement
Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting
Topological models of document-query sets in retrieval for Enterprise Information Management
WRDI: A Multimodal Dataset of mmWave Radar Data and Image
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification
A collaborative filtering algorithm based on social network information
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data
A-Star algorithm based on-demand routing protocol for hierarchical LEO/MEO satellite networks
Weakly-Supervised Cloud Detection with Fixed-Point GANs
Automated port traffic statistics: From raw data to visualisation
Supporting Test Case Design on Reasoning Scheme with Natural Language Processing Technique
Clinical Text Classification with Word Embedding Features vs. Bag-of-Words Features
Cosine similarity distance pruning algorithm Based on graph attention mechanism
Transparent In-memory Cache Management in Apache Spark based on Post-Mortem Analysis
Distributed de novo assembler for large-scale long-read datasets
Sensor event mining with hybrid ensemble learning and evolutionary feature subset selection model
Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing
Botnet Attack Intrusion Detection In IoT Enabled Automated Guided Vehicles
FaST: An Efficient Framework For Visualizing Large-Scale Time Series
ONet - A Temporal Meta Embedding Network for MOOC Dropout Prediction
Revisiting Stylized Facts for Modern Stock Markets
Scaling up Inference in MLNs with Spark
2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA
Data Streaming Analysis Framework for Through-time 3D Free-breathing Liver DCE-MRI
Linked Open Data mining for democratization of big data
A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in Item Categorization
Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective
ALOJA: A systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness
Data-Centric Helicopter Failure Anticipation: The MGB Oil Pressure Virtual Sensor Case
Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM)
Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation
Super Long Interval Time-Lapse Image Generation for Proactive Preservation of Cultural Heritage Using Crowdsourcing
Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images
An evaluation study of BigData frameworks for graph processing
Search for K: Assessing Five Topic-Modeling Approaches to 120, 000 Canadian Articles
Investigating the Effectiveness of Deep Learning and CFA Interpolation Based Classifiers on Identifying AIGC
Solar irradiance forecasting by machine learning for solar car races
Corrosion Assessment: Data Mining for Quantifying Associations between Indoor Accelerated and Outdoor Natural Tests
General Self-aware Information Extraction from Labels of Biological Collections
DeepLite: Real-Time Deep Learning Framework for Neighborhood Analysis
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting
Active Data Reconstruction Attacks in Vertical Federated Learning
Identifying Pros and Cons of Product Aspects Based on Customer Reviews
Fine-Tuning Large Language Models for Compliance Checks
Core-based community evolution in mobile social networks
The Importance of System Engineering Competences and Knowledge for Big Data Science and Research Infrastructure Projects
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity
Big Data Augmentation with Data Warehouse: A Survey
Applications of linked data in the rail domain
Opening up dark digital archives through the use of analytics to identify sensitive content
Scalable Household Identification using Mobile Engagement Data - A Weighted Two-Mode Network Approach
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction
A pricing mechanism using social media and web data to infer dynamic consumer valuations
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT
Heuristics for assessing Computational Archival Science (CAS) research: The case of the human face of big data project
Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease
Application of machine learning for fuel consumption modelling of trucks
Mining Latent Disease Factors from Medical Literature using Causality
Mobile gesture-based iPhone user authentication
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities
Predicting the spread of Covid-19 through quantified cultural dimensions
Semi-supervised Learning over Streaming Data using MOA
Repeating Link Prediction over Dynamic Graphs
Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems
An Integrative Analysis of Time-varying Regulatory Networks From High-dimensional Data
Move Real-Time Data Analytics to the Cloud: A Case Study on Heron to Dataflow Migration
Automated uncertainty quantification analysis using a system model and data
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks
Hierarchical Rule Compliance Check Method for Distributed Query
RAPID: Rapid and Precise Interpretable Decision Sets
Identifying smallest unique subgraphs in a heterogeneous social network
Optimization Analysis and Standardization of Rolling Process with Machine Learning
"Constructing Machine Learning models for Orthodontic Treatment Planning: a comparison of different methods"
Impact Analysis of Social Events on Industries through Narrative Causal Search
Road map extraction from satellite imagery using connected component analysis and landscape metrics
Enhancing Talent Search by Integrating and Querying Big HR Data
An Experimental Study on Random Projection Based Biometric Security
Ammunition Management in the AI Era: Towards CBM+ and Shelf-life Analysis
Clarifying the transition of workload for victims life reconstruction support programs in affected local governments using the victims master database - Comparison between the 2007 Chuetsu-oki earthquake and the 2016 Kumamoto Earthquake-
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks
Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed Systems
Leveraging Large Language Models for Institutional Portfolio Management: Persona-Based Ensembles
Generating Chinese Classical Poetry with Quatrain Generation Model (QGM) Using Encoder-Decoder LSTM
Bringing semantic structures to user intent detection in online medical queries
Differences in emoji sentiment perception between readers and writers
Leveraging Knowledge Graph Embeddings to Disambiguate Author Names in Scientific Data
A Practical Expert System with (Near) Real-Time Analysis of Large Spatial Sets of Air Traffic Data
AutoClass: AutoML for Data Stream Classification
Evaluation and Comparison of Open-Source LLMs Using Natural Language Generation Quality Metrics
Full diffusion history reconstruction in networks
ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media
In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems
EntityRank: Unsupervised Mining of Bilingual Named Entity Pairs from Parallel Corpora for Neural Machine Translation
Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific Generative Bots
Faster Depth Estimation for Situational Awareness on Urban Streets
Risk adjustment of patient expenditures: A big data analytics approach
Computing Complex Graph Properties with SQL Queries
Taxonomic Classification of Objects with Convolutional Neural Networks
Radiopaths: Deep Multimodal Analysis on Chest Radiographs
Private Blockchain for Visitor Authentication and Access Control
SciSpark: Applying in-memory distributed computing to weather event detection and tracking
Using geometric structures to improve the error correction algorithm of high-throughput sequencing data on MapReduce framework
Hot Spot Analysis over Big Trajectory Data
Affective Natural Language Generation by Phrase Insertion
TI-GCN: A Dynamic Network Embedding Method with Time Interval Information
Word Phrase Analysis of High-frequency Ngrams in the Large-scale Korean Law Corpus
Covid Vaccine Risk Stratification
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding
DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data
Internet of Things Big Data Analytics: The Case of Noise Level Measurements at the Roskilde Music Festival
Automatic Device Identification and Anomaly Detection with Machine Learning Techniques in Smart Factories
CiteSeerX-2018: A Cleansed Multidisciplinary Scholarly Big Dataset
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain
Individual-based epidemiological model of COVID19 using location data
Dynamic Graph Summarization: Optimal and Scalable
Accurate signal timing from high frequency streaming data
Data chaos: An entropy based MapReduce framework for scalable learning
Improving Query Execution Performance in Big Data using Cuckoo Filter
Active Learning with Numerical Feature Annotation
PerSSD: Persistent, Shared, and Scalable Data with Node-Local Storage for Scientific Workflows in Cloud Infrastructure
Robot: An efficient model for big data storage systems based on erasure coding
Modeling social influences from call records and mobile web browsing histories
Using an asset price bubble model in tweet analytics
Privacy-Preserving Big Data Analytics Using Homomorphic Encryption: A Comprehensive Evaluation in Healthcare Applications
Using Model Class Reliance to Measure Group Effects on Non-Adherence to Asthma Medication
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network
A whole building fault detection using weather based pattern matching and feature based PCA method
Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach
Learning Interpretation with Explainable Knowledge Distillation
Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries
Secure Multi-party kNN Search in Large-scale Spatial Data Federation
FAIR Digital Objects for the Realization of Globally Aligned Data Spaces
Data-Aided Intrusion Detection Systems: Leveraging AI, Blockchain and Digital Twin Technology
Unsupervised Learning for Depth Estimation in Unstructured Environments
On Understanding Biosonar Deformations Using Deep Learning-Based Video Interpolation
Personalized search with editable profiles
HL7 Data Acquisition & Integration: Challenges and Best Practices
Deep-learning-based Extraction of Electronic Component Parameters from Datasheets
Interpretable Explanations for Probabilistic Inference in Markov Logic
Facebook and public health: A study to understand facebook post performance with organizations' strategy
Big data and traditional Chinese medicine (TCM): What's state of the art?
Evaluating and Reducing Subgroup Disparity in AI Models Predicting Pediatric COVID-19 Test Outcomes
Real-Time Prediction of Residents' ADL using Asynchronous Multivariables Time-series Signals
Modeling Updates of Scholarly Webpages Using Archived Data
Complexity-entropy feature plane for gear fault detection
Training on the poles for review sentiment polarity classification
On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization
Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences
Researching persons & organizations: AWAKE: From text to an entity-centric knowledge base
A Monte Carlo Tree Search for Budget-Constrained Combinatorial Optimal Facility Investment Problem with a Blackbox Objective Function
Scaling up data-parallel analytics platforms: Linear algebraic operation cases
Reliability of erasure coded storage systems: A geometric approach
Improvement of General Inquirer Features with Quantity Analysis
Privacy-preserving outsourced collaborative frequent itemset mining in the cloud
Fast Support Vector Machine Using Singular Value Decomposition
Mitigating Annotation Artifacts in Physical Commonsense Reasoning Benchmark
Animal-JEPA: Advancing Animal Behavior Studies Through Joint Embedding Predictive Architecture in Video Analysis
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
Data Leaves as Scenario-oriented Metadata for Data Federative Innovation on Trust
How valuable is your data? A quantitative approach using data mining
Data blending in manufacturing and supply chains
The state of SQL-on-Hadoop in the cloud
S-Isomap++: Multi manifold learning from streaming data
Corporate Governance, Tunneling, and their Predictive Power for CSR and Market Performance: A Machine Learning Approach
The new science of cause and effect, with reflections on data science and artificial intelligence
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation
Strider R : Massive and distributed RDF graph stream reasoning
Explainable data-driven modeling of patient satisfaction survey data
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams
A Minimax Approach for Classification with Big-data
Sparsity adjusted information gain for feature selection in sentiment analysis
Intercloud brokerages based on PLS method for deploying infrastructures for big data analytics
Digital Data Platform for Connected Clinical Trials
Ensemble kriging for environmental spatial processes
Parallel and memory-efficient Burrows-Wheeler transform