yusuke1997/dblp-id-title huggingface dataset:
Quantifying volume, velocity, and variety to support (Big) data-intensive application development
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
SciDB: An array-native computational database for heterogeneous, multi-dimensional data sets
Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks
Fast Second-order Method for Neural Networks under Small Treewidth Setting
Content-based assessment of the credibility of online healthcare information
Unleashing the Power of Hashtags in Tweet Analytics with Distributed Framework on Apache Storm
Search Wandering Score: Predicting Timings of Online Shopping based on Wandering in User's Web Search Queries
An Approach to Automatically Extract Predictive Properties from Nominal Attributes in Relational Databases
Toward Never-Ending Learner for Malware Analysis (NELMA)
An Efficient Data Analysis For Edge-Enabled Distributed Environments using Tractable Probabilistic Models
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data
Query Answering On Uncertain Big RDF Data Using Apache Spark Framework
Leveraging memory mapping for fast and scalable graph computation on a PC
Influence in Transient Populations
Vision Paper: Uncovering Illegal Firearm Transactions in Cryptocurrency Networks
Deep Learning Techniques for Unmixing of Hyperspectral Stimulated Raman Scattering Images
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations
Impact of Attention on Adversarial Robustness of Image Classification Models
Blockchain based Secure Group Data Collaboration in Cloud with Differentially Private Synthetic Data and Trusted Execution Environment
EBEM: An Enhanced Bi-encoder Model for Word Sense Disambiguation
A data analysis and visualization system for large-scale e-bike data
Learning framework with joint task optimization applied to consumer health applications with behavioral nudges
On-Street Parking Prediction: A Comparative Study
Large-scale Sparse Structural Node Representation
Image Analytics for Legal Document Review : A Transfer Learning Approach
Topic-specific post identification in microblog streams
On the pursuit of Graph Embedding Strategies for Individual Mobility Networks
Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case
Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations
Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads
Argo: Architecture-aware graph partitioning
Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted Driving
Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering
Towards automating Numerical Consistency Checks in Financial Reports
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning
Spatio-temporal prediction of crimes using network analytic approach
Keynote: Automatic Segmentation and Quantification of TB Scale Volumetric Murine Brain Vasculature Data
Copula-based Approaches for Anomaly Detection: a Case-study in Financial Forensics
A Hybrid Approach to Group-By and Aggregation Query Execution
Decision Support for Disability Employment using Counterfactual Survival Analysis
Secure information flow and file movements: A topological theory of discretionary access controls
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision
Prototyping the Problem Oriented Medical Record for Connected Health Based on TypeGraphQL
An ensemble MIC-based approach for performance diagnosis in big data platform
GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences
Multi-scale Heterogeneous Graph Contrastive Learning *
H2RDF+: High-performance distributed joins over large-scale RDF graphs
The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems
Predict failures in production lines: A two-stage approach with clustering and supervised learning
Unravelling the Myth of big data and artificial intelligence in sustainable natural resource development
Spatial data dimension reduction using quadtree: A case study on satellite-derived solar radiation
Semi-supervised convolutional neural networks for human activity recognition
Extracting Feature Engineering Knowledge from Data Science Notebooks
Flux: Groupon's automated, scalable, extensible machine learning platform
Similarity-based Filtering for Defending Against Malicious Clients in Federated Learning
Iterative unified clustering in big data
Toward a Novel Methodology in Economic Experiments: Simulation of the Ultimatum Game with Large Language Models
Non-intrusive behavior awareness for residents of a smart house
Federated Recommendation via Hybrid Retrieval Augmented Generation
Data analysis on train transportation data with nonnegative matrix factorization
Unmasking Public Perception: A Mixed-Methods Exploration of Social Media Discourse on U.S. Illegal Immigration
Ma 3 tch: Privacy and knowledge: 'Dynamic networked collective intelligence'
Ensemble prediction of vascular injury in Trauma care: Initial efforts towards data-driven, low-cost screening
Transparent composite model for large scale image/video processing
Real time semantic enrichment of broadcast content in the big data age
Cloud big data decision support system for machine learning on AWS: Analytics of analytics
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data
Digital Finance, Market Competition, and Risk-Taking: A Study of Rural Commercial Banks in China
Data-driven approach to ensuring fault tolerance and efficiency of swarm systems
Identifying Extreme Regimes in Climate-Scale Digital Twins: a Roadmap
Where did you tweet from? Inferring the origin locations of tweets based on contextual information
TransBug: Transformer-Assisted Bug Detection and Diagnosis in Deep Neural Networks
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data
Inexact Attributed Subgraph Matching
Reverse engineering smart card malware using side channel analysis with machine learning techniques
Automated Exploratory Clustering
Optimizing throughput on guaranteed-bandwidth WAN networks for the Large Synoptic Survey Telescope (LSST)
A DEA approach for Supplier Selection with AHP and risk consideration
Transformational Role of Big Data in Society 5.0
Deep Learning Models for Diabetic Retinopathy Detection: A Comparative Study
Discovering scientific influence using cross-domain dynamic topic modeling
Data for Good: Ensuring the Responsible Use of Data to Benefit Society
Context-Aware Diffusion-based Sequential Recommendation
Iterative refinement of multiple targets tracking of solar events
Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance
Biometric Authentication via Electrocardiogram Traces
Technology Assisted Review of Images using Machine Vision
Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Functions
Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants using Artificial Intelligence Mode
Communication Model for Parallel Iterative Stream Processing
Analysis of teamwork dialogue: A data mining approach
Is data quality enough for a clinical decision?: Apply machine learning and avoid bias
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
A collaborative framework for annotating energy datasets
Data quality issues in big data
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks
Big data predictive analtyics for proactive semiconductor equipment maintenance
Machine learning and air quality modeling
A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs
Simulation-ready digital twin for realtime management of logistics systems
AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMs
Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models
Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
Centralized Trust Scheme for Cluster Routing of Wireless Sensor Networks
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding
A real-time autonomous highway accident detection model based on big data processing and computational intelligence
Principal coordinate clustering
Non-Parallel Text Style Transfer using Self-Attentional Discriminator as Supervisor
Implementation of Effective Field Survey for Damaged Buildings under Harmonious Collaboration between Human and ICT - A Case Study of 2018 Hokkaido Eastern Iburi Earthquake -
ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity
The Development of Machine Learning Infused Outpatient Prognostic Models for tackling Impacts of Climate Change and ensuring Delivery of Effective Population Health Services
A Comparative Study of LSTM and DNN for Stock Market Forecasting
Detecting Phishing URLs using the BERT Transformer Model
Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data
Scientific Visualization and Reproducibility for "Open" Environmental Science
Kalman Filtering for Learning with Evolving Data Streams
The best of two worlds: Integrating IBM InfoSphere Streams with Apache YARN
Integrating a PICO Clinical Questioning to the QL4POMR Framework for Building Evidence-Based Clinical Case Reports
IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence
On Inferring User Socioeconomic Status with Mobility Records
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models
Visual analysis of large-scale LiDAR point clouds
Video Content Summarization with Large Language-Vision Models
Automatic detection of DNS manipulations
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods *
Big Automotive Data: Leveraging large volumes of data for knowledge-driven product development
Parallel auto-encoder for efficient outlier detection
Can Generative AI Uncover Hidden Patterns in Historical Domestic Traffic Ads Through Data Analysis? A ChatLoS-DTA Exploration
Inferring relations in knowledge graphs with tensor decompositions
Toward Automatically Improving Metadata Quality of Electronic Theses and Dissertations at Scale
Data-Driven Physics Informed Neural Network of Submarine Hull Shapes for Active Sonar Evasion
Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables
FDC Cache: Semantics-driven Federated Caching and Querying for Big Data
A Task Assignment Method Considering Inclusiveness and Activity Degree
In-situ analytics for tomographic imaging in sensor network
What Make a Network Novel Popular? Implications for "Qidian.com"
Sentiment expression via emoticons on social media
Visualization of big SPH simulations via compressed octree grids
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models
Combining Spatial and Temporal Properties for Improvements in Data Reduction
A layer based architecture for provenance in big data
Community structure analysis in big climate data
Federated Learning Models using Flow Cytometry Data of Blood Test in Medical Decision Support
Optimizing Radial Basis Function Kernel on OpenCL FPGA Platform
Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques
Semantic pattern mining for text mining
Weatherman: Exposing weather-based privacy threats in big energy data
Benchmarking polystores: The CloudMdsQL experience
Using machine learning to identify major shifts in human gut microbiome protein family abundance in disease
Integrated Gradients is a Nonlinear Generalization of the Industry Standard Approach to Variable Attribution for Credit Risk Models
Is one label all you need? Single positive multi-label training in medical image analysis
DECADE - Deep Learning Based Content-hiding Application Detection System for Android
Attributed Multi-layer Network Embedding
Pairwise Topic Model via relation extraction
Estimate Causal Effects of Entangled Treatment on Graphs using Disentangled Instrumental Variables
The Effect of Tweets on the Traded Volume of Crypto-Coins
Analysis of High fidelity ns-3 simulations to study real-time application performance in tactical wireless networks
seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series
Complete storm identification algorithms from big raw rainfall data using MapReduce framework
Evaluating Model Robustness to Adversarial Samples in Network Intrusion Detection
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering
Improving Sequential Recommender Systems with Online and In-store User Behavior
Validating the Use of Wi-Fi Signals to Estimate Hyperlocal Urban Populations
KeyLabel algorithms for keyword search in large graphs
Temporal Graph Neural Networks for Social Recommendation
Simplifying web analytics for digital marketing
Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs
Semantic Segmentation Approaches in Crop Row Detection
Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches
On the performance of MapReduce: A stochastic approach
DataInsight: Big Data Analytics Services
Popular Search Terms and Stock Price Prediction
Achieving Agile Big Data Science: The Evolution of a Team's Agile Process Methodology
YieldPredict: A Crop Yield Prediction Framework for Smart Farms
A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit
Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing
A study of innovation network database Construction by using big data and an enterprise strategy model
Efficient Missing Value Imputation by Maximum Distance Likelihood
BrainMixup: Data Augmentation for GNN-based Functional Brain Network Analysis
Cascaded Dimension Reduction for Effective Anomaly Detection
DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing
Thematic Geo-Density Heatmapping for Walking Tourism Analytics using Semi-Ready GPS Trajectories
Random walks on adjacency graphs for mining lexical relations from big text data
Scaling Up Heterogeneous Waveform Clustering for Long-Duration Monitoring Signal Acquisition, Analysis, and Interaction: Bridging Big Data Analytics with Measurement Instrument Usage Pattern
Towards Retention Analysis in NFT-based Blockchain Games
A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data
Comparative Study of ML Techniques for Misinformation Detection in War Reporting
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
Session-based News Recommendation Using Cohesive Patterns
Exploring sketches for probability estimation with sublinear memory
Explainable Authorship Verification in Social Media via Attention-based Similarity Learning
Asymmetric Differential Privacy
SAFE - Secure Aggregated Frequency Estimates
Learning Minimum Bounding Rectangles for Efficient Trajectory Similarity Search
Towards building a hybrid model for predicting stock indexes
Vision Paper: Are Identity Verification Systems Adequately Tailored for Neurodivergent Individuals?
Vector Quantization with Sorting Transformation
Data Mining Approach for Characterizing Construction Accidents
Spatio-Temporal Multiple Geo-Location Identification on Twitter
Enhancing Representation Learning with Label Association for Multi-Label Text Classification
Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources
A Study on the Causes of Garbage Collection in Java for Big Data Workloads
Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBase
Spatio-temporal interpolation methods for solar events metadata
Deployment and Management of Time Series Forecasts in Ocean Industry
Discovering Communities With Clustered Federated Learning
Identifying going concern issues in auditor opinions: link to bankruptcy events
Asset Modeling using Serverless Computing
Engineering a Parallel Δ-stepping Algorithm
Enabling User Driven Big Data Application on Remote Computing Resources
Recommending missing sensor values
Longitudinal Analysis of Linguistic flexibility of Value-motivated Groups
Knowledge Graph-based Data Transformation Recommendation Engine
Fast and Effective Object Classification for Big Image Data
Pipelining Graph Construction and Agent-based Computation over Distributed Memory
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017
CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews
SparrowVQE: Visual Question Explanation for Course Content Understanding
A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data
Data privacy for IoT systems: Concepts, approaches, and research directions
Data-Driven Modeling of Wind Farm Power and Revenue Generation
Multilevel partitioning of large unstructured grids
Cases Vs Deaths: Which Indicators To Assess The Effectiveness Of Non-Pharmaceutical Interventions During Covid-19 Pandemic?
Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data
Locating disparities in machine learning
Aligning the Representation of Knowledge Graph and Large Language Model for Causal Question Answering
Introducing the Converse k-clustering Problem
AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning
Nearest neighbor classification using bottom-k sketches
Cross-Modality Validation of Abdominal Fat and Muscle Segmentation: A Comparative Study of Dixon MR and CT Imaging
An AI-powered Smart Routing Solution for Payment Systems
Automatic Hierarchical Clustering of Static Call Graphs for Program Comprehension
Assessing the Environmental Impact of Plant-Based Diets: A Comprehensive Analysis
Data Regression Framework for Time Series Data with Extreme Events
Detecting and Classifying Changes in Traffic Rules using Induction Loop Data
Adaptive Benchmarking for Data System using LLMs
Automatic Categorization of Press Articles through Learning: The Case of Senegalese Online Press
Low-latency multi-threaded ensemble learning for dynamic big data streams
A Hybrid Approach to Similar Stock Recommender with Taxonomy and Behavior Data
Truss Decomposition on Multilayer Graphs
The Utility of Enterprise Architecture to Records and Archives Specialists
BBC: A DSL for designing cloud-based heterogeneous bigdata pipelines
Leveraging Graph Clustering for Differentially Private Graph Neural Networks
Scaling concurrency of personalized Semantic search over Large RDF data
Data Distribution and Competition Law Issues
Multi-View, Generative, Transfer Learning for Distributed Time Series Classification
The coding of literary form: Data mining and the information structure of historical texts
Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction
Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics
Local Partition in Rich Graphs
Better Skill-based Job Representations, Assessed via Job Transition Data
Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data
Computing as Curricular Peripheral
Efficient Processing of Probabilistic Single and Batch Reachability Queries in Large and Evolving Spatiotemporal Contact Networks
Toward High-Resolution Regional Atmospheric Reanalysis for Japan: An Overview of the ClimCORE Project
Effective Weighted k-Nearest Neighbors for Dynamic Data Streams
Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling
Cloud Kotta: Enabling secure and scalable data analytics in the cloud
A model for analysing a disrupted supply chain's time-to-recovery under uncertainty
Climate model diagnostic analyzer
IDMU: Impact Driven Machine Unlearning
"To Tell You the Truth" by Interval-Private Data
Scalable approximation of kernel fuzzy c-means
Construction of exact-BASIC codes for distributed storage systems at the MSR point
Model-view sensor data management in the cloud
A Sensitivity Analysis (and Practitioners' Guide to) of DeepSORT for Low Frame Rate Video
Inferring Relationships between Tabular Data and Topics using LLM for a Dataset Search Task
Is elasticity of scalable databases a Myth?
Ethical Implications of the General Data Protection Directive for Virtual Personal Marketing Assistants
DHFM-FLM: A Dynamic Hierarchical Federated Learning Mechanism for Financial Models under Client Resource Heterogeneity
About Granular Rough Computing: Concept-Dependent Granulation Powered by Map Reduce
Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry
Virtual chunks: On supporting random accesses to scientific data in compressible storage systems
A study of a video analysis framework using Kafka and spark streaming
Web Service Solution for Adverse Drug Events and Medication Errors
A three-step agglomerated Machine Learning: An alternative to Weibull Defect Analysis of Rail Infrastructure
Ensuring Security Continuum from Edge to Cloud : Adaptive Security for IoT-based Critical Infrastructures using FL at the Edge
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization
Identifying suitable attributes for Record Linkage using Association Analysis
Large Scale Multiplex Latent Graphs for Recommendation in Baidu
FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline
A Study on Barrier-Free Entrance Object Detection Using Deep Learning in Street View Imagery
A Dual-Approach Framework for Enhancing Network Traffic Analysis (DAFENTA): Leveraging NumeroLogic LLM Embeddings and Transformer Models for Intrusion Detection
Mitigating Visual Limitations of Research Papers
IoT for Rail Transportation: The Case of Railigent
Max-node sampling: An expansion-densification algorithm for data collection
Leveraging user expertise in collaborative systems for annotating energy datasets
Public Sentiment on Security Cameras
Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI
Emergence of an Autonomous Vehicle Secondary Data Market for Breakthrough Applications
Reinventing Infobright's Concept of Rough Calculations on Granulated Tables for the Purpose of Accelerating Modern Data Processing Frameworks
Matrix factorization for co-training algorithm to classify human rights abuses
Nondiscriminating Dropout Prediction beyond Algorithmic Fairness: Ensuring Coverage in Preprocessing Pipelines
Leveraging distributed big data storage support in CLAaaS for WINGS workflow management system
Towards Policy-aware Edge Computing Architectures
FOCAL: A Cost-Aware Video Dataset for Active Learning
Efficient breadth-first search on a heterogeneous processor
Auto-CNNp: a component-based framework for automating CNN parallelism
Prediction of Indian election using sentiment analysis on Hindi Twitter
Forecasting cross-border power exchanges through an HVDC line using dynamic modelling
Towards Automated Clustering
Performance modeling in CUDA streams - A means for high-throughput data processing
Temporal bipartite projection and link prediction for online social networks
Data Reduction and Deep-Learning Based Recovery for Geospatial Visualization and Satellite Imagery
FREIDA - Fracture Risk Evaluation using Highly Efficient Information Retrieval and Analysis of Large Healthcare Datasets