yusuke1997/dblp-id-title huggingface dataset:
TSmap3D: Browser visualization of high dimensional time series data
QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate
Data Replication for Reducing Computing Time in Distributed Systems with Stragglers
A spatio-temporal multimedia big data framework for a large crowd
Text Summary Generation based on Data Augmentation and Contrastive Learning
Error-robust multi-view clustering
Scale-Aware Graph-Based Machine Learning for Accurate Molecular Property Prediction
Web Traffic Prediction of Wikipedia Pages
Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management
Targeting Negative Flips in Active Learning using Validation Sets
Empowering Citizens through Structured Data: Enhancing Public Service information Delivery in Disaster Response
A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification
Optimal Repair Algorithm of Single-Disk Failure for Array Codes with Local Properties
Gaussian Function On Response Surface Estimation
Forecasting Crude Oil Prices Based on An Internet Search Driven Model
A trade-off between estimation accuracy of worker quality and task complexity
Machine Learning-Based Correlation Analysis of Fuel Consumption and Automobile Air Conditioning System Usage
Recommendations of Compatible Accessories in e-Commerce
Data protections for minors with named entity recognition
Monitoring of natural disasters through anomaly detection on mobile phone data
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach
DSServe - Data Science using Serverless
Eagle: User profile-based anomaly detection for securing Hadoop clusters
A novel approach to optimization of iterative machine learning algorithms: Over heap structure
A study on intelligent personalized push notification with user history
SOF: A Synthetic Occluded Face Dataset
Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations
Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution
Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety
Downscaling Precipitation with Bias-informed Conditional Diffusion Model
Data confidentiality challenges in big data applications
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning
A Shared Memory Cache Layer across Multiple Executors in Apache Spark
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services
What can a knowledge complexity approach reveal about big data and archival practice?
Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks
Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
Optimizing a MapReduce module of preprocessing high-throughput DNA sequencing data
Relationships between market impact characteristics and order book properties
Distributed Pivot Clustering with arbitrary distance functions
A heat wave forecast system for Europe
An Analysis Approach of Messaging Mechanism on Social Networking Services
Toward Interpretable Machine Learning for Understanding Epidemic Data
3-D land use index: Vertical land use analysis based on multi-dimensional geospatial data cube
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
Analysis of Information Polarization During Japan's 2017 Election
A case study to apply mobile technology into individual's local community
A data-driven approach to extract connectivity structures from diffusion tensor imaging data
Optimal Branch Location for Cost-effective Inference on Branchynet
Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection
Discovering potential traffic risks in Japan using a supervised learning approach
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation
MoDisSENSE: A distributed platform for social networking services over mobile devices
Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems
Segmentation of Time Series in Improving Dynamic Time Warping
Personalized Federated Learning for Gastric Cancer: Adaptive Inference from Large Heterogeneous Piecewise Electronic Health Record Based Biomedical Data
Scaling NLP algorithms to meet high demand
E-CLoG: Counting edge-centric local graphlets
Parallel Motif-Based Community Detection
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection
A Method to Collect Multi-view Images of High Importance Using Disaster Map and Crowdsourcing
Dot-Product Similarity based Centroid Clustering for Popular Topic Detection
Data-Driven Vessel Service Time Forecasting using Long Short-Term Memory Recurrent Neural Networks
Enterprise pre-sales forums: A preliminary study of metadata and content
Flexible ingest framework: A scalable architecture for dynamic routing through composable pipelines
An In-depth Comparison of Group Betweenness Centrality Estimation Algorithms
CloudMan: A platform for portable cloud manufacturing services
Analyzing big ocean science data with NEXUS
Constraint-aware dynamic truth discovery in big data social media sensing
KGIQ: Scalable Translation of User-Specified Examples into Knowledge-Graph Queries
Cloud Based Malware Detection Through Behavioral Entropy
An IoT/IoE enabled architecture framework for precision on shelf availability: Enhancing proactive shopper experience
Multimodal, Context-Aware, Feature Representation Learning for Classification and Localization
Time-varying Item Feature Conditional Variational Autoencoder for Collaborative Filtering
Combining Wavelet and MFCC Features for Emotion Recognition in Conversation
Aggregate Query Prediction under Dynamic Workloads
Performance evaluation of enabling logistic regression for big data with R
An Extremely Lightweight Approach for DDoS Detection at Home Gateways
Ontology-driven data integration for railway asset monitoring applications
A 3D Framework for Brain Tumor Segmentation from Multi-modal MR Images
Extending the Scope of Computational Archival Science: A Case Study on Leveraging Archival and Engineering Approaches to Develop a Framework to Detect and Prevent "Fake Video"
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019
Dynamic network of commodity futures market and systemic risk contribution of key commodities
ForumPFN: Online Forum Post Fusion Network for Volatility Index Movement Prediction
Slingshot: A modular framework for designing data processing systems
Indexing historical spatio-temporal data in the cloud
Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer's Disease
Knowledge Graphs in Spatial-Temporal Cluster Evolution Analysis
The Financial Narrative Summarisation Shared Task (FNS 2023)
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
R2Net: Recurrent Recalibration Network for Medical Image Segmentation
Perturbation-driven data augmentation for time series anomaly detection improvement in predictive maintenance
Multi-wavelength solar event detection using faster R-CNN
Evaluating machine learning algorithms for anomaly detection in clouds
Information gateway for integrated pharmacogenomics data- IGIPD
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling
Analytical method of web user behavior using Hidden Markov Model
Pharmacological class data representation in the Web Ontology Language (OWL)
A novel integrated method for human multiplex protein subcellular localization prediction
Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning
Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data
A Classification Approach to Detect Social Support in Online Health Communities
Distributed Consensus Reduced Support Vector Machine
Materials-aware Entity Augmentation for Continued Pre-training in Materials Science
Adapting K-means clustering to identify spatial patterns in storms
Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy?
Q-learning for Statically Scheduling DAGs
A data-driven impact evaluation of Hurricane Harvey from mobile phone data
2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014
Queryable compression on streaming social networks
Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph
Towards Explainable Melanoma Diagnosis: Prediction of Clinical Indicators Using Semi-supervised and Multi-task Learning
Improving the functionality of tamura directionality on solar images
Bounding Means of Discrete Distributions
Explainable Recommendation Using Review Text and a Knowledge Graph
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis
Data mining and sharing tool for high content screening large scale biological image data
Active Learning Strategies for Hierarchical Labeling Microtasks
Building industry network based on business text: Corporate disclosures and news
Towards a Multi-Perspective Methodology for Big Data Requirements
Concept hierarchies and human navigation
Exploiting Hybrid Subword Information for Chinese Historical Named Entity Recognition
First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting
Calibrating User Bias In Sentiment Estimation From Social Media
Scaling point set registration in 3D across thread counts on multicore and hardware accelerator platforms through autotuning for large scale analysis of scientific point clouds
Hierarchical MultiClass AdaBoost
SETN: Stock Embedding Enhanced with Textual and Network Information
Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations
Classifying Genuine Face images from Disguised Face Images
Towards Prediction of Security Attacks on Software Defined Networks: A Big Data Analytic Approach
Meta-Learning for Debiasing Recommendation using Simulated Uniform Data
How Effective is AI-Powered Social Media Analysis: Mining Reddit Conversations on Emergency Rooms
Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimization
Slice-Level Label Attention with Global-Guided Attention Regularization for Multi-Label Classification in Knee MRI Sequences
AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs
Tracking and predicting the evolution of research topics in scientific literature
RIBS: Risky Blind-Spots for Attack Classification Models
iVAR: Interactive visual analytics of radiomics features from large-scale medical images
FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction
Wrangler's user environment: A software framework for management of data-intensive computing system
A model for the socially smart city practical uses of city-level socio-economic indicators
GFP-X: A parallel approach to massive graph comparison using spark
Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks
An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding
Deep Anomaly Detection with Ensemble-Based Active Learning
Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL
Plant Event Detection from Time-Varying Point Clouds
SciFoodNER: Food Named Entity Recognition for Scientific Text
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
Context Integrated Relational Spatio-Temporal Resource Forecasting
Dependency analysis of cloud applications for performance monitoring using recurrent neural networks
ArchContract: using smart contracts for disposition
High-frequency financial statistics with parallel R and Intel Xeon Phi coprocessor
An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection
Accelerated Evaluation of Autonomous Drivers using Neural Network Quantile Generators
Optimizing Rare Disease Patient Matching with Large Language Models
Vedalytics: Concepts as Knowledge from Rules of the Ancient Indian Scriptures
On the role of feature space granulation in feature selection processes
A Novel Video Copy Sub-sequence Detection and Location Method
LLM Chain Ensembles for Scalable and Accurate Data Annotation
Scientific discovery through weighted sampling
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
A DQN-based Recommender System for Item-list Recommendation
The Financial Document Causality Detection Shared Task (FinCausal 2023)
Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations
P-DOT: A model of computation for big data
User Latent Interest Estimation in Real Space: A Comparative Analysis of Time-Series and Non-Time-Series Processing Algorithms
Integrating Demand Hotspots and Adjusted Spatial Indexing for Urban Taxi Demand Prediction
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
Distributed memory parallel Markov random fields using graph partitioning
Automotive big data: Applications, workloads and infrastructures
On the Potential of Using ERP Business and System Data for Fraud Detection
Handling smart environment devices, data and services at the semantic level with the FI-WARE core platform
ByoVoz Automatic Voice Condition Analysis System for the 2018 FEMH Challenge
DeePaGait: Motor Assessment of Parkinson's Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data
A unified approach to network anomaly detection
Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal
QMLEx: Data Driven Digital Transformation in Marketing Analytics
Link Prediction Based on Heuristics and Graph Attention
Rating Patent by Exploiting Semantic and Novelty Information
On Efficiently Processing Business Lineage Queries
Local subspace-based outlier detection using global neighbourhoods
Recursive Queries: Twenty-Five Years After SQL: 1999
What Information Hinders or Promotes Subjects' Meaningful Learning in a Bandit Experiment for Weighted Voting?: Mouse Tracking Evidence
Enhancing Early Diagnosis of Autism Spectrum Disorder Using Multimodal Data and Explainable AI Models
Online Federated Multitask Learning
MuSQLE: Distributed SQL query execution over multiple engine environments
A Green Learning Approach to Efficient Image Demosaicking
Index Based Efficient Algorithms For Closest Community Search
SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis
Towards integrating the detection of genetic variants into an in-memory database
Towards Big Data Analytics over Mobile User Data using Machine Learning
Malware Detection and Prevention using Artificial Intelligence Techniques
On scaling time dependent shortest path computations for Dynamic Traffic Assignment
A review on cyber security datasets for machine learning algorithms
The Rhythm of the Mind: Exploring the Link Between Music Preferences and Mental Health Through Machine Learning
Detecting Botnet Nodes via Structural Node Representation Learning
Clustering and Topic Discovery of Multiway Data via Joint-NCMTF
Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies
Stock price forecasting using support vector regression: Based on network behavior data
Online and on-demand partitioning of streaming graphs
Extracting route patterns of vessels from AIS data by using topic model
Mystiko - Blockchain Meets Big Data
Multidimensional analysis of fetal growth curves
Constructing consumer profiles from social media data
Multi-label Classification of Chinese Judicial Documents based on BERT
Big data process analytics for continuous process improvement in manufacturing
Leveraging Multi-Agent Systems and Large Language Models for Diabetes Knowledge Graphs
A filter-based feature selection model for anomaly-based intrusion detection systems
Evaluating Lossy and Lossless Compression for DICOM Medical Files
Content-Aware Deep Learning Recommender System
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models
Multi-layer text classification with voting for consumer reviews
FairGAN + : Achieving Fair Data Generation and Classification through Generative Adversarial Nets
Online Density Estimation over Streaming Data: A Local Adaptive Solution
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data
Accelerating scientific algorithms in array databases with GPUs
A Universal Namespace Approach to Support Metadata Management and Efficient Data Convergence of HPC and Cloud Scientific Workflows
Meticulously Analyzing ESG Disclosure: A Data-Driven Approach
A Dynamic Financial Knowledge Graph Based on Reinforcement Learning and Transfer Learning
A Scalable and Domain Adaptive Respiratory Symptoms Detection Framework using Earables
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl
Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining
Forgetting User Preference in Recommendation Systems with Label-Flipping
Hybrid Attack Graph Generation with Graph Convolutional Deep-Q Learning
Accurate Coupled Tensor Factorization with Knowledge Graph
One-Shot Clustering for Federated Learning
Hybrid.media: High velocity video ingestion in an in-memory scalable analytical polystore
Informed Trading Support for the Amateur Investoron the New York Stock Exchange
Evidence Fusion for Malicious Bot Detection in IoT
Data Poisoning Attacks over Diabetic Retinopathy Images Classification
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning
Using Timed Sequential Patterns in the Transportation Industry
Road marking blur detection with drive recorder
ESEP: Data-Driven Emergency and Safe Evacuation Driving Path Planning During Natural Catastrophes
Segmented analysis for reducing data movement
A Hybrid Model Based on Graph Convolutional Network and Multi-head Transformer for Joint Multiple Intent Detection and Slot Filling
Graph-based Clustering for Time Series Data
Minimizing Regret in Social Media Advertisement *
Policy enabled caching for distributed AI
How much is your information worth - A method for revenue generation for your information
Metric Indexing for Efficient Data Access in the Internet of Things
Towards an Open Format for Scalable System Telemetry
Handling delayed labels in temporally evolving data streams
Hybrid Loss for Hierarchical Multi-label Classification Network
A combination of general and specific models to predict victories in video games
Critical Community-Centeredness: Ethical Considerations for Computational Archival Studies
DLA: a Distributed, Location-based and Apriori-based Algorithm for Biological Sequence Pattern Mining
Metadata Caching in Presto: Towards Fast Data Processing
Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning
Exploring the process of doing data science via an ethnographic study of a media advertising company
Interoperable Reference Model for Public Data in Medical Imaging
On the Use of Conventional Neural Networks for COVID-19 Detection in CT-Scan Images: A Comparative Study and Performance Analysis
FLOps: On Learning Important Time Series Features for Real-Valued Prediction
Mining the relation between dorm arrangement and student performance
Threat Miner - A Text Analysis Engine for Threat Identification Using Dark Web Data
Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information
Optimization-Based Grid Energy Management System with BESS and EV Charging Load for Peak Shaving
Fast Meta Failure Recovery for Federated Meta-Learning
Incremental Analysis of Large-Scale System Logs for Anomaly Detection
Self-tuned kernel spectral clustering for large scale networks
Effective Face Inpainting by Conditional Generative Adversarial Network
Feature Importances for Predicting Future Performance of Professional Soccer Player
Performance characterization and acceleration of in-memory file systems for Hadoop and Spark applications on HPC clusters
Analysis of Gene Expression Cancer Data Set: Classification of TCGA Pan-cancer HiSeq Data
Impact analysis of extreme events on flows in spatial networks
Empowering users of social networks to assess their privacy risks
Network Distance based on Laplacian Flows on Graphs
Predictive Masking for Semi-Supervised Graph Contrastive Learning
A comparison of classification models for natural disaster and critical event detection from news
GHOSTZ PW/GF: Distributed Parallel Homology Search System for Large-scale Metagenomic Analysis
Quality-Aware Experience Exploitation in Model-Based Reinforcement Learning
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data
IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs
Effectiveness of Usability & Performance Features for Web Credibility Evaluation
Deep Learning Service for Efficient Data Distribution Aware Sorting
Creation of EMA-KN - A Knowledge Network for Ecological Momentary Assessment
An experimental study of different machine and deep learning techniques for classification of encrypted network traffic
Efficient approximation algorithms to determine minimum partial dominating sets in social networks
Predictive Precision: LSTM-Based Analytics for Real-time Stock Market Visualization
Empirical evaluations of active learning strategies in legal document review
A discrete mathematics approach for large scale improvement in classification training time
Efficient Data Compression for IoT Devices using Huffman Coding Based Techniques
Reed-Solomon Codes Over Ring with Lower Computational Complexity
Topological approaches to skin disease image analysis
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses
Constraint-based Hierarchical Clustering for Time Sequences
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM
Make accumulated data in companies eloquent by SQL statement constructors
IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation
Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system
Filesystem Front-end for Seamless Job Management in Sensitive Data e-Infrastructures and Cloud Federation
Online pattern mining for high-dimensional data streams
Pandemic Effect: Degradation of Speech Reception Due to Medical Masks
Ensuring Trustworthiness in Decentralized Systems through Federated Distillation and Feature Mixing
Collecting Cyber Threat Intelligence from Hacker Forums via a Two-Stage, Hybrid Process using Support Vector Machines and Latent Dirichlet Allocation
Matrix Multiplication with SQL Queries for Graph Analytics
Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN
Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders
Jupyter Notebooks for Generous Archive Interfaces
Intensive Image Malware Analysis and Least Significant Bit Matching Steganalysis
Service failure prediction in supply-chain networks