yusuke1997/dblp-id-title huggingface dataset:
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs
An augmented fama and french three-factor model using social interaction
Big data development platform for engineering applications
Can a Large Language Model Learn Matrix Functions In Context?
CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models
Benchmarking Deep Learning for Time Series: Challenges and Directions
Predicting Virality on Networks Using Local Graphlet Frequency Distribution
Understanding Coarsening for Embedding Large-Scale Graphs
Predicting business performance through patent applications
Look into Multi-Person: A New Benchmark for Pose Estimation and Human Parsing
On the implementation of BRS codes in Ceph
DNN-based Approach to Detect and Classify Pathological Voice
Scalable adaptive label propagation in Grappa
Computational Thinking in Archival Science Research and Education
Plugin to a Healthier Life: A Web Browser Plugin for Mental Health Monitoring
Extending Healthy Life Expectancy: Frailty Detection Model Using Smart Meter and Machine Learning
Parts Catalog Object Recognition Technology for Efficient Drawing Distribution Management
Observation of Matthew Effects in Sina Weibo microblogger
Combining Global and Sequential Patterns for Multivariate Time Series Forecasting
Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application
Client Specific Dynamic Aggregation for Non-IID Federated Learning
Effects of Network Structure on Subjective Preference Diversity
FedGSDW: Enhancing Federated Learning Robustness against Model Poisoning Attack
Three principles of data science: predictability, computability, and stability (PCS)
Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations
Influence of online news features on user behavior for new media
Advancing NLP via a distributed-messaging approach
On the power of big data: Mining structures from massive, unstructured text data
Continuous Location Statistics Sharing Algorithm with Local Differential Privacy
A Federated Learning Scheme Based on Lightweight Differential Privacy
Localization of IoT Devices based on Spatially Separated Multi-Antenna Radio Frequency Channel State Information
Green innovative start-ups and gender shares
Exploration of OpenCL 2D Convolution Kernels on Intel FPGA, CPU, and GPU Platforms
Identifying and Addressing 6 Key Questions when Using Data Driven Scrum
Uncertainty quantification in performance evaluation of manufacturing processes
Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model
Euler++: Improved Selectivity Estimation for Rectangular Spatial Records
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification
On the performance and energy efficiency of Hadoop deployment models
Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare
A Simple, Effective and Extendible Approach to Deep Multi-task Learning
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Spatial Big Data Infrastructure for the Japanese Hyper-spectral Imager SUIte (HISUI) based on World Grid Square Statistics
User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal
Visualization System for Evolutionary Neural Networks for Deep Learning
Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data
Big social data analytics of changes in consumer behaviour and opinion of a TV broadcaster
MultiLyra: Scalable Distributed Evaluation of Batches of Iterative Graph Queries
Empirical Rule Induction Methods Selection
IntegrityMR: Integrity assurance framework for big data analytics and management applications
Modeling human attention by learning from large amount of emotional images
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Scalable Blind Matching: An Efficient Ciphertext Matching Scheme for Content-Based Pub/Sub Cloud Services
Diagnosing Voice Disorder with Machine Learning
Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning
Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies
Fishing in the stream: Similarity search over endless data
Optimizing callout in unified ad markets
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data
Kafka: the Database Inverted, but Not Garbled or Compromised
Motif-Preserving Dynamic Local Graph Cut
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses
Optimized Storing of Workflow Outputs through Mining Association Rules
Predicting taxi demand at high spatial resolution: Approaching the limit of predictability
On Chatbots for Visual Exploratory Data Analysis
Using Bi-partite graphs to cluster complex networks
A practical facility location optimization with uncertain variables in emergency road services
Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events
Big data analytics in cloud gaming: Players' patterns recognition using artificial neural networks
Investigating Large Language Models for Financial Causality Detection in Multilingual Setup
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation
The implications from benchmarking three big data systems
Prediction of Nocturia in Live Alone Elderly Using Unobtrusive In-Home Sensors
Probabilistic estimates of attribute statistics and match likelihood for people entity resolution
Computational Archival Science is a Two-Way Street
Content-based recommendation for podcast audio-items using natural language processing techniques
Proximity Network for Visualizing Infection Risks of Pedestrian Behavior at Large-Scale Events
Extracting valid indoor semantic trajectories using movement constraints
Iteration aware prefetching for unstructured grids
Revenue Optimized Capacity Management for Integrators in Air Freight Industry Under Uncertainty
Mining Consistent, Non-Redundant and Minimal Negative Rules Based on Minimal Generators
MM-TrafficRisk: A Video-based Fleet Management Application for Traffic Risk Prediction, Prevention, and Querying
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach
Automotive Big Data Pipeline: Disaggregated Hyper-Converged Infrastructure vs Hyper-Converged Infrastructure
Enhancing Customer Behavior Prediction and Interpretability
How to Prepare for the Next Pandemic - Investigation of Correlation Between Food Prices and COVID-19 From Global and Local Perspectives
Privacy-Preserving Federated Learning for Science: Challenges and Research Directions
Product function need recognition via semi-supervised attention network
DFFNet: Dynamic Feature Fusion Network for Weakly Supervised Object Detection in Remote Sensing Images
Bias and Generalizability Challenges in Machine Learning Models for Leptospirosis
Machine Learning (ML) Classifier to Assist Metadata Creation
Distributed Execution of Spatial SQL Queries
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning
Schema design support for semi-structured data: Finding the sweet spot between NF and De-NF
Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud
Window-Based Feature Extraction Method Using XGBoost for Time Series Classification of Solar Flares
TTERCL: An onSite Real-time Alarm Root-Cause Location Algorithm
Digree: A middleware for a graph databases polystore
Deep Neural Network-based Active Region Magnetogram Patch Super Resolution
Force-directed graph embedding with hops distance
Predicting Impression Evaluation of Building Exterior Appearance Using Street Image Big Data and Deep Learning
Identifying Probable Neurological Disorders with Explainable Machine Learning Techniques
Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets
TIDE: Inter-chromosomal translocation and insertion detection using embeddings
DP-TabICL: In-Context Learning with Differentially Private Tabular Data
~PB&J~ - Easy Automation of Data Science/Machine Learning Workflows
Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data
CoMABO: Covariance Matrix Adaptation for Bayesian Optimization
Prediction of physiological subsystem failure and its impact in the prediction of patient mortality
Finding community structure via rough K-means in social network
Weight Prediction for Variants of Weighted Directed Networks
City-Wide Influenza Forecasting based on Multi-Source Data
CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain
AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices
Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and Caregivers
Empowering University-level Help Desk for International Applicants with AI Chatbots
Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks
Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption
Using sentiment analysis to explore the degree of risk in sharing economy
Scalable dynamic graph summarization
Help me find a job: A graph-based approach for job recommendation at scale
NativeTask: A Hadoop compatible framework for high performance
Real-time Karaoke Recommendations : Session-based Multi-Task Recommendations with Multivariate RNNs
All-Clear Flare Prediction Using Interval-based Time Series Classifiers
Terabyte-scale image similarity search: Experience and best practice
Mix and Rank: A Framework for Benchmarking Recommender Systems
Towards a New Approach to Empower Periodic Pattern Mining for Massive Data using Map-Reduce
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising
Scalejoin: A deterministic, disjoint-parallel and skew-resilient stream join
Fast Stochastic Block Partitioning using a Single Commodity Machine
Massively Parallel Graph Drawing and Representation Learning
AIOps Essential to Unified Resiliency Management in Data Lakehouses
From Searches to Sneezes: Evaluating Digital Indicators for Allergic Rhinitis Surveillance in the United Kingdom 1
pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector
Hybrid Cloud and HPC Approach to High-Performance Dataframes
Modeling community detection using slow mixing random walks
Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data
Pairwise topic model and its application to topic transition and evolution
An Evaluation of RDMA-based Message Passing Protocols
Skepticism and Sentiment Analysis to Understand Consumer Perception of Virtual Influencers in Social Media Advertising
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification
Finding Mutual X at WeChat-Scale Social Network in Ten Minitues
Issues in synthetic data generation for advanced manufacturing
A Gray-box Testing Method for Divide&Conquer in Image Processing
Towards Developing Face Analysis System based on PCA
Data Mining Approach to determine injured Area of the Construction Worker using Accident Loss Cost
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data
HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks
KUChemBio: A repository of computational chemical biology data sets
Spatially clustered join on heterogeneous scientific data sets
Topic modeling for management sciences: A network-based approach
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks
Closed walk sampler: An efficient method for estimating the spectral radius of large graphs
What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr
Polarization Prism: Facilitating Diverse Viewpoint Reflection by Mining Unseen Perspectives in Social Media Polarization
Modeling Dynamic Spatial-Temporal Cluster Relationships
SteLLA: A Structured Grading System Using LLMs with RAG
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images
Learning from multiple data sets with different missing attributes and privacy policies: Parallel distributed fuzzy genetics-based machine learning approach
Reasoning Over Streaming System Performance Using Response Surface Methodology
Universal distant reading through metadata proxies with archivespark
Case: Big geosciences data validation challenges and achievements
Understanding and Predicting Faculty Success in Winning Grant Awards
SentimentGPT: Leveraging GPT for Advancing Sentiment Analysis
Automated schema extraction for PID information types
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning
In Search of A Better Land: Would People Move to A Country with Better Air Quality? A Global Survey Based on Twitter Data
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance
Deep learning in the automotive industry: Applications and tools
Unveiling Ideological Trends Through Data Analytics to Construe National Security Instabilities
Detecting spammers on social networks based on a hybrid model
Launching a User-Generated Content Campaign to Promote PUMA's Social Contributions
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization
Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants
Artificial Intelligence for Spectral Analysis: Challenges and Opportunities
A cognitive assistant for risk identification and modeling
ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features
Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors
Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking
Securing Kafka with Encryption-at-Rest
Effective Tuple-based Anonymization for Massive Streaming Categorical Data
Correlation-Based Analytics of Time Series Data
eTRIKS analytical environment: A modular high performance framework for medical data analysis
LCTL: Lightweight Compression Template Library
Gun Violence News Information Retrieval using BERT as Sequence Tagging Task
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data
Detecting Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESG-BERT
Sync-on-the-fly: A Parallel Framework for Gradient Descent Algorithms on Transient Resources
Frequent Itemset Mining for Big Data
Human-in-the-Loop Business Modelling for Emergent External Factors
T-BMIRT: Estimating representations of student knowledge and educational components in online education
Combining BERT with Contextual Linguistic Features for Identification of Propaganda Spans in News Articles
An Apriori-based Data Analysis on Suspicious Network Event Recognition
Link Prediction of Artificial Intelligence Concepts using Low Computational Power
Challenges and trends about smart big geospatial data: A position paper
Enabling scientific data storage and processing on big-data systems
Explainable Long-Term Forecasting of Air Pollution
Consensus optimization with delayed and stochastic gradients on decentralized networks
Hash-Grams On Many-Cores and Skewed Distributions
An apache calcite-based polystore variation for federated querying of heterogeneous healthcare sources
CLIP-PubOp: A CLIP-based Multimodal Representation Fusion Method for Public Opinion
Robustness of Compressed Convolutional Neural Networks
Revisiting System-Heterogeneous Federated Learning through Dynamic Model Search
Advancing value creation and value capture in data-intensive contexts
Illicit Activity Detection in Large-Scale Dark and Opaque Web Social Networks
DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model
Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis
Credit decision tool using mobile application data for microfinance in agriculture
Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data
DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care
I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets
Repair efficient storage codes via combinatorial configurations
Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities
Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning
Predicting Post-stroke Hospital Discharge Disposition Using Interpretable Machine Learning Approaches
Building Graphs at a Large Scale: Union Find Shuffle
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters
"Sustainable assemblage for energy (SAE)" inside intelligent urban areas: How massive heterogeneous data could help to reduce energy footprints and promote sustainable practices and an ecological transition
Enabling composite applications through an asynchronous shared memory interface
ASSIST: Article eXtraction and statIstical AnalysiS
CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion
Learning to Simplify Distributed Systems Management
GPU-accelerated adaptive compression framework for genomics data
Multispectral Drone Data Analysis on Coastal Dunes
Towards Advanced Monitoring for Scientific Workflows
A Decision Support System to Compile Environmental Mitigations from Hydropower Licensing Documents
Knowledge Management for Automobile Failure Analysis Using Graph RAG
Targeted Ads Analysis: What are The most Targeted Personas?
Efficient natural language pre-processing for analyzing large data sets
Entity Extraction from High-Level Corruption Schemes via Large Language Models
Detection of hacking behaviors and communication patterns on social media
A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning
GCN-based Explainable Recommendation using a Knowledge Graph and a Language Model
Foundation Models for Big Data: Enabling AI-Powered Data Insights to Accelerate Business Outcomes and Achieve Sustainable Success
Strengthening Accuracy of Lung Cancer Diagnosis Through A Novel Multimodal Bayesian Convolutional Neural Network
A Data-Centric Approach for Image Scene Localization
Analysis of national election using mathematical model of hit phenomenon
A novel object placement protocol for minimizing the average response time of get operations in distributed key-value stores
Toward training NLP models to take into account privacy leakages
Scalable community discovery from multi-faceted graphs
Explainable Machine Learning Models for Evaluating Government Grantmaking
k-bitruss-Attributed Weighted Community Search on Attributed Weighted Bipartite Graphs
StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems
YOLOv10 Computer Vision Performance Measurement for Agricultural Vacuum Seed Meters
Vehicle path estimation using dual-level clustering and multi-source prediction
Toward Parallelization Technique for Stream-based Lossless Data Compression
Digital Social Listening on Conversations About Sexual Harassment
Predicting Stock Price Movements with Text Data using Labeling based on Financial Theory
Computational Archival Practice: Towards A Theory for Archival Engineering
Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development
HotelWatch: A Hotel Identification System to Combat Human Trafficking
Does Dataset Complexity Matters for Model Explainers?
Differentially private models of tollgate usage: The Milan tollgate data set
AutoML for Stream k-Nearest Neighbors Classification
Chemicals Informatics: Explore Structural Factors and Potential Chemicals based on Public Literatures
Revenue Maximization at Waterfall Auctions with Dynamic Programming
Automated Generation and Selection of Interpretable Features for Enterprise Security
Heterogeneity in feature importance and prediction performance for sales at the market and store levels: the case of branded yogurt products in Quebec
Semantic Prompt Based Multi-Scale Transformer for Few-Shot Classification
High Value Customer Acquisition & Retention Modelling - A Scalable Data Mashup Approach
Parallel graph mining with dynamic load balancing
Representing Industrial Data Streams in Digital Twins using Semantic Labeling
Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks
Scalability Analysis of Blockchain on a Serverless Cloud
A Deep Reinforcement Learning Framework for Instructional Sequencing
Large Scale predictive analytics for real-time energy management
Hyper-parameter optimization with REINFORCE and Masked Attention Auto-regressive Density Estimators
Targeted Querying of Closed High-Utility Itemsets
An Ensemble Approach for Suspicious Traffic Detection from High Recall Network Alerts
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning
Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events
Privacy Preserving Text Data Encoding and Topic Modelling
Investigating Initial Access Strategies and Malware Deployment Tactics Used by Iranian Advanced Persistent Threat Groups
Improvements to short-term weather prediction with recurrent-convolutional networks
Speeding Up Unsupervised Learning Through Early Stopping
Data quality: Experiences and lessons from operationalizing big data
Big Data Architectures for Vehicle Data Analysis
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data
Machine Learning Methods for Anomaly Detection in Industrial Control Systems
Clustering-Based Predictive Analytics to Improve Scientific Data Discovery
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool
Container-based virtualization for byte-addressable NVM data storage
Security and privacy for big data: A systematic literature review
Simple and effective pre-processing for automated melanoma discrimination based on cytological findings
VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos
Data Imbalance Solutions Using Pseudo-Cluster and Two-Step Classification Methods
Data Fusion and Graph Analysis in Fraud Transaction Detection: walkthrough of a case study
Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents
An Approach to Developing EEG-Based Person Authentication System
DISH4U A Crowd Source App for Guiding Users Towards Healthy Food
Deep Super Resolution Techniques for Remote Sensing Big Data: A Comparative Study
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models
An ER-Flow Diagram for Big Data
Current security threats and prevention measures relating to cloud services, Hadoop concurrent processing, and big data
Optimizing Parallel Proof of Vote Consensus Based on Mimic Security in Consortium Blockchains
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels
MDFS: A mimic defense theory based architecture for distributed file system
Bootstrapping K-means for big data analysis
E-MIMIC: Empowering Multilingual Inclusive Communication
Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets
A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies
Scalable Manifold Learning for Big Data with Apache Spark
Political Warfare: Competition in the Cyber Era
Metadata-Driven Industrial-Grade ETL System