yusuke1997/dblp-id-title huggingface dataset:
Use of a metadata documentation and search tool for large data volumes: The NGEE arctic example
Predicting customer behaviors on energy consumption: Why past usage data are not enough?
Programmatic Database Language Generation for Big Data Applications
Introducing Computational Thinking in Middle-Schools using a Culturally-responsive Game through a Researcher-Practitioner Partnership
CSFinder: A cold-start friend finder in large-scale social networks
Adaptive Method for Machine Learning Model Selection in Data Science Projects
Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza
Large Scale Windowed Matching
Analysis of Pokémon GO using sociophysics approach
Detecting non-technical energy losses through structural periodic patterns in AMI data
The Calibration of Single Beam Distance Sensors based on Machine Learning Methods
An Intelligent Water Drops Algorithm to Supply-Demand Hub in Industrial Cluster Considering Transportation Mode
An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data
Mixed data and classification of transit stops
MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal
A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning
Clustering and GNN prediction with DrugMatrix
Domain Knowledge-Driven Multi-Label Behavioral Health Identification from Police Report
Framework for Healthcare Security Practice Analysis, Modeling and Incentivization
Peer Firm Identification Using Word Embeddings
FlexDAS: A flexible direct attached storage for I/O intensive applications
Data Streaming in Concept-Dependent Granulation
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information
Distant-Supervised Slot-Filling for E-Commerce Queries
Fast Record Linkage for Company Entities
Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms
CyBERT: Contextualized Embeddings for the Cybersecurity Domain
Machine Learning for Automated Wheeze Detection in Children
Geotagging one hundred million Twitter accounts with total variation minimization
Detection of Malicious Webpages Using Deep Learning
Extendable and invertible manifold learning with geometry regularized autoencoders
General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones
Accelerating mathematical knot simulations with R on the web
Synthetic data generation for the internet of things
A Multimodal Fusion Framework for Bridge Defect Detection with Cross-Verification
A Study of PyTorch Bug Patterns and Memory-Related Challenges
A map-based visual analysis method for patterns discovery of mobile learning in education with big data
FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors
A meta-graph approach to analyze subgraph-centric distributed programming models
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing
Dynamic Length Factorization Machines for CTR Prediction
Speculator and Influencer Evaluation in Stock Market by Using Social Media
CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads
Improving Neural Networks Dropout Using An Enhanced Weights Scaling
Distributed frank-wolfe under pipelined stale synchronous parallelism
Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy
TPR∗-tree Performance improvement for big tactical moving objects
Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark
Co-Representation Learning Framework For the Open-Set Data Classification
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic
A Survey on Trajectory Data Management for Hybrid Transactional and Analytical Workloads
Context-aware point of interest recommendation using tensor factorization
Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas
Efficient change detection for high dimensional data streams
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity
Efficient Dynamic Time Warping for Big Data Streams
Evaluating cloud frameworks on genomic applications
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization
Towards Interpretable Graph Modeling with Vertex Replacement Grammars
Smart distributed query execution over data streams
Solar Pre-Flare Classification with Time Series Profiling
Learning relevance from click data via neural network based similarity models
Leveraging multi-granularity energy data for accurate energy demand forecast in smart grids
SCEM: Smart & effective crowd management with a novel scheme of big data analytics
Mortality prediction of ICU patients using lab test data by feature vector compaction & classification
Hierarchical Transfer Convolutional Neural Networks for Image Classification
Characterizing Twitter Users: : What do Samantha Cristoforetti, Barack Obama and Britney Spears Have in Common?
Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources
PAUSE: A privacy architecture for heterogeneous big data environments
The Impact of Decentralized Identity Architecture on Data Exchange
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Recommended Methods for Using the 2020 NIST Principles for AI Explainability
Distributed and parallel high utility sequential pattern mining
A Bloom Filter Hierarchy for Non-key Search in Key-Value Stores
Efficient Constrained Subgraph Extraction for Exploratory Discovery in Large Knowledge Graphs
Forecasting Migration Patterns and Land Border Encounters
The Limits to the Efficiency of Machine Learning
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
Investigating Transfer Learning of Smartphone-Sensed Stress in University Populations
Responsible AI: A Primer for the Legal Community
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
Analyzing regional characteristics of living activities of elderly people from large survey data with probabilistic latent spatial semantic structure modeling
Towards Multi-class Sentiment Analysis With Limited Labeled Data
Pseudo slicer on three dimensional brain tumor segmentation
OSP-Class: Open Set Pseudo-labeling with Noise Robust Training for Text Classification
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction
SHR: Enhancing Event Argument Extraction Ability of Large language Models with Simple-Hard Refining
Qasar: Self-Supervised Learning Framework for Extractive Question Answering
A Novel Hybrid Architectures for Overcoming Sparse Data in Subscription Product Recommendation Systems
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees
The Optimal Pricing Models: Dynamic Pricing Personalization based on Machine Learning
Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks
A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous Infrastructures
Graph Representation Learning for Dengue Forecasting
Utilizing Large Language Models (LLMs) in Data Analysis Pipeline for Digital Phenotyping: Description, Prediction, and Visualization
Moral Instruction Fine Tuning for Aligning LMs with Multiple Ethical Principles
Standardizing big earth datacubes
Development of a Machine Learning Algorithm to Forecast PV Plant Production
Towards More Robust and Scalable Deep Learning Systems for Medical Image Analysis
Agile text mining with Sherlok
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
A fast structured regression for large networks
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts
Crossing the Streams: Fuzz testing with user input
UStore: An optimized storage system for enterprise data warehouses at UnionPay
A new area tourist ranking method
Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition
Enhancing Synthetic Data Generation for Class Imbalance and Privacy Preservation
IoT Malware Dynamic Analysis Profiling System and Family Behavior Analysis
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data
Towards building and evaluating a personalized location-based recommender system
Big Data Decision-Making and Racial Disparities: A Case Study Among COVID-19 Inpatient Visits
In the Eyes of the Bystander: Are the Stances on Different Conflicts Correlated?
Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph
Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
Correlated Anomaly Detection from Large Streaming Data
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs
Experimental Characterizations and Analysis of Deep Learning Frameworks
Is Active Learning Green? An Empirical Study
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images
Understanding the Language of ADHD and Autism Communities on Social Media
Making an Array Database Language Server-Side Extensible
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability
Pseudo-Reconfigurable Heterogeneous Solution for Accelerating Spectral Clustering
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier
Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations *
Stereotype and Categorical Bias Evaluation via Differential Cosine Bias Measure
Predicting Network Traffic Using TCP Anomalies
Multi-source Machine Learning for AQI Estimation
Translation of Array-Based Loops to Spark SQL
Big data technology and ethics considerations in customer behavior and customer feedback mining
MOIRE: Mixed-Order Poisson Regression towards Fine-grained Urban Anomaly Detection at Nationwide Scale
Urban human mobility data mining: An overview
Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports
Permutation-Invariant Tabular Data Synthesis
Understanding what affects career progression using linkedin and twitter data
Big data entity resolution: From highly to somehow similar entity descriptions in the Web
A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection
Coxswain: Guided Data Analytics
Neural Crystals
Predicting stock movement direction with machine learning: An extensive study on S&P 500 stocks
Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System
Road Damage Detection and Classification with YOLOv7
A Comparative Analysis between AI Generated Code and Human Written Code: A Preliminary Study
Application specific traffic control in large-scale disasters
Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data
Addressing the big-earth-data variety challenge with the hierarchical triangular mesh
Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments
Dynamic Graph Node Classification via Time Augmentation
On Understanding Degradation Kinetics of Pharmaceutic Gelatin Matrices for Precision Medicine: A Deep Learning Approach
Factorization machines with follow-the-regularized-leader for CTR prediction in display advertising
An input catalog and target selection for the transiting exoplanet survey satellite
System and architecture level characterization of big data applications on big and little core server architectures
Revolutionary entities: Turning data into knowledge to drive personalized exploration of The irish rising of 1916
Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package
Predicting Perceived Cycling Safety Levels Using Open and Crowdsourced Data
Exploring YouTube's Role in Shaping Political Discourse: A Case Study of the 2024 Tokyo Gubernatorial Election
Thick Data Analytics for Rating Ulcerative Colitis Severity Using Small Endoscopy Image Sample
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention
Automated Indexing of Structured Scientific Metadata Using Apache Solr
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning
Assessing Membership Inference Attacks under Distribution Shifts
Event detection from time-series streams using directional change and dynamic thresholds
Late Fusion-based Distributed Multimodal Learning
TPS: A task placement strategy for big data workflows
Predicting a biological response of molecules from their chemical properties using diverse and optimized ensembles of stochastic gradient boosting machine
Firecast Zigzag Convolutional Network for Wildfire Prediction
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
Generative adversarial networks for increasing the veracity of big data
Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets
Blockchain-Based Verifiable and Reliable File Access Control Layer for Cloud Storages
Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price Prediction
A study for understanding of tourist person trip pattern based on log data of Wi-Fi access points
A Hierarchical Framework to Detect Targeted Attacks using Deep Neural Network
YOLO with High Dataset Augmentation for Vehicle Class and Orientation Detection
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph
On the relevance of social media platforms in predicting the volume and patterns of web defacement attacks
A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction
Anomaly Detection for Public Transport and Air Pollution Analysis
Improving the performance of disease detection from chest X-ray images using deep learning
Change detection and classification of digital collections
Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats
Understanding Language Model from Questions in Social Studies for Students
Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks
Citywide reconstruction of cross-sectional traffic flow from moving camera videos
Utility and Privacy Assessments of Synthetic Data for Regression Tasks
Managing massive multi-dimensional array data with TileDB: - Invited demo paper
An Efficient Systematic Approach to Find All Cyclic Quorum Sets with All-pairs Property
Model Management and Handwritten Character Recognition: An Enterprise Solution
Multipath Temporal Convolutional Network for Remaining Useful Life Estimation
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms
One-Shot Learning on Attributed Sequences
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction
Dealing with heterogeneous big data when geoparsing historical corpora
Using Big Data Analytics to Create a Predictive Model for Joint Strike Fighter
A Power Quality Event Classifier Based on Convolutional Neural Network
Fast Self-Organizing Maps Training
An Efficient and Secured Energy Management System for Automated Guided Vehicles
Understanding computational web archives research methods using research objects
Measuring activities and values of industrial clusters based on job opportunity data collected from an internet Japanese job matching site
Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks
Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal Scintigraphy
RLAC: Random Line Approximation Clustering
A computer vision approach to mining big solar data
Distributed Bayesian piecewise sparse linear models
Badminton stroke classification based on accelerometer data: from individual to generalized models
Forecasting squatting of demand in display advertising
Mapping Non-Linear Influence of Alloying Elements on Tensile Strength of Martensitic Steel
Self-calibrated Attention Residual Network for Image Super-Resolution
Accurate and efficient selection of the best consumption prediction method in smart grids
Combining active learning with concept drift detection for data stream mining
Spectral Analysis of User Interests for Experimental Verification of the Oscillation Model for OSNs
Real-Time Machine Learning for Air Quality and Environmental Noise Detection
Ad Blocking Whitelist Prediction for Online Publishers
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images
Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases
TADS: Transformation of Anomalies in Data Streams
Fragrance to vector as scent technology
Similarity-based Detection of Fertile Days at OvuFriend
Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data
Deep Fraud Detection on Non-attributed Graph
An NML-based model selection criterion for general relational data modeling
Remote Fault Detection of Anemometers Using Machine Learning on Simulated Wake Models
Myanmar Law Cases and Proceedings Retrieval with GraphRAG
A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data
NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data
Creating, Sustaining, and Evaluating Personalized Digital Health Systems
xSVM: Scalable Distributed Kernel Support Vector Machine Training
Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection
A parallel computing platform for training large scale neural networks
Investigating Visual Analytics against Terrorist Financing in Dark Web Marketplaces
Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data Exchange
BDTUne: Hierarchical correlation-based performance analysis and rule-based diagnosis for big data systems
Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
Nowcast of firm sales using POS data toward stock market stability
A Socio-Technical Framework for Measuring Organizational Capacity During Cyberinfrastructure Diffusion
Data-driven Blockbuster Planning on Online Movie Knowledge Library
Combining Text and Image data for Product Recommendability Modeling
Situation aware computing for big data
ConvNLP: Image-based AI Text Detection
End-to-End Trip Energy Predictions Developed from Real-World Driving Data using Recurrent Neural Networks
Animal Behavior Prediction with Long Short-Term Memory
A Batched Multi-Armed Bandit Approach to News Headline Testing
A Hybrid Machine Learning Framework of Gradient Boosting Decision Tree and Sequence Model for Predicting Escalation in Customer Support
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
Exploring the Fundamental Units of Semantic Representation of Data Using Heterogeneous Variable Network in Data Ecosystems
Investigating Comparative Evaluation for Large Data
A Store Evaluation System using Automatic Scoring of Retail Stores Based on Product Review Analysis
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
Real-Time Camera-to-Lidar Calibration for Autonomous Robotic Systems at the Edge
Data-Driven Initial Guess Selection for Numerical Weather Prediction Solvers
Framing the scope of the common data model for machine-actionable Data Management Plans
Influence of Neighborhood on the Preference of an Item in eCommerce Search
A UAV-Based Digital Twin Framework for Real-Time Monitoring and Risk Assessment of Floating Roof Storage Tanks
A multi-dimensional extension of the Lightweight Temporal Compression method
Systematic Discovery of Bias in Data
Road Rutting Detection using Deep Learning on Images
Placement of DNN Models on Mobile Edge Devices for Effective Video Analysis
Unsupervised Domain Adaptation for Entity Blocking Leveraging Large Language Models
Coarse Graining of Data via Inhomogeneous Diffusion Condensation
Data Science, COVID-19 Pandemic, Privacy and Civil Liberties
Humans as Mitigators of Biases in Risk Prediction via Field Studies
A survey study of success factors in data science projects
A time series classification-based approach for solar flare prediction
Visual examination of relations between known classes for deep neural network classifiers
Fast Change Point Detection for electricity market analysis
Evaluating Captioning Models using Markov Logic Networks
Estimating skill fungibility and forecasting services labor demand
A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain
Narrative Simplification in Human and AI Retelling
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
Point cloud indexing using Big Data technologies
A Novel Deep Learning Character-Level Solution to Detect Language and Printing Style from a Bilingual Scanned Document
Entity Set Co-Expansion in StackOverflow
Applying SDN based data network on HPC Big Data Computing - Design, Implementation, and Evaluation
Two-Stage Image Dehazing with Depth Information and Cross-Scale Non-Local Attention
From depression to suicidal discourse on Reddit
Uncovering Illegal Firearm Transactions in Cryptocurrency Networks
Academic Graph: A Literature Review System
The bread emoji Team's Submission to the IEEE BigData 2024 Cup: Predicting Chess Puzzle Difficulty Challenge
A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge
Network formation of next generation electric power and mobility in rural area
Kylin: An efficient and scalable graph data processing system
A robust, efficient, and balanced parallel algorithm for finding connected components
DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders
Metaphor mining in historical german novels: An unsupervised learning approach
SLA-based profit optimization for resource management of big data analytics-as-a-service platforms in cloud computing environments
REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems
Low latency analytics for streaming traffic data with Apache Spark
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification
Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data
Role-Oriented Dynamic Network Embedding
Learning automata based method for solving demand and supply problem with periodic behaviors
The Forecastability of Underlying Building Electricity Demand from Time Series Data
A Graph-Based Representation of Wastewater Maps
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks
QueRIE reloaded: Using matrix factorization to improve database query recommendations
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning
Pattern Exploration as Keyword Search
A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations
Task quality optimization in collaborative robotics
Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness
Energy-efficient Federated Learning with Dynamic Model Size Allocation
Context-Aware Data Analytics Variability in IoT Neural Network-Based Systems
Cross-database mammographic image analysis through unsupervised domain adaptation
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
CrunchQA: A Synthetic Dataset for Question Answering over Crunchbase Knowledge Graph
Mobile Emotion Healthcare System Applying Sentiment analysis
Addressing data veracity in big data applications
CompactNet: High Accuracy Deep Neural Network Optimized for On-Chip Implementation