yusuke1997/dblp-id-title huggingface dataset:
Profiling-free Configuration Adaptation and Latency-Aware Resource Scheduling for Video Analytics
Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks
Towards a Multi-engine Query Optimizer for Complex SQL Queries on Big Data
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration
Multimodal Threat Evaluation in Simulated Wargaming Environments
Toward predicting medical conditions using k-nearest neighbors
Predicting concept drift via dynamic Naïve Bayes
Effects of Demographics and Photometric Normalization on Image Translation GANs for Cross-Spectral Face Recognition
Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets
A new time series prediction method based on complex network theory
A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters
A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box
A Framework for Five Big V's of Big Data and Organizational Culture in Firms
Marine Water Quality Analysis of Kesennuma Bay in the Aftermath of the 2011 Great East Japan Earthquake and Tsunami
An Automatic Classification of the Primary and the Corresponding Authors in Research Articles
A Sample-Mixing Unsupervised Domain Adaptation Framework for Object Detection
National press monitoring using Natural Language Processing as an early warning signal for prediction of asylum applications flows in Europe
Discovering Sublanguages in a Large Clinical Corpus through Unsupervised Machine Learning and Information Gain
Risk Diversification Strategy with Moving Average Reversion for Automatic Portfolio Optimization
Towards scalable quantile regression trees
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
A systematic literature review on machine learning for electricity market agent-based models
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation
BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge Graphs
Augmenting Co-Training With Recommendations to Classify Human Rights Violations
Assessment of Data Augmentation Techniques for Firearm Detection in Surveillance Videos
Decomposing Audio into Timbral Features with Convolutional Neural Networks
Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction
MapReduce Clustering for Big Data
AI-Algorithmically-Generated Song with Lyrics
Trusted Yet Disguised: Analysing the Subversive Role of LOLBins in Contemporary Cyber Threats
An online spatio-temporal model for inference and predictions of taxi demand
Smart Grid monitoring through Deep Learning for Image-based Automatic Dial Meter Reading
Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
ENCODE: Ensemble Contextual Bandits in Big Data Settings - A Case Study in E-Commerce Dynamic Pricing
GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic Predictions
Profit Allocation for Federated Learning
Image-based Dietary Assessment System for Chinese Children
Machine learning for early detection of autism (and other conditions) using a parental questionnaire and home video screening
Cost and data exploration considerations for big data prediction on the cloud
Identifying performance bottlenecks in Hive: Use of processor counters
Fast graph scan statistics optimization using algebraic fingerprints
Scaling historical text re-use
Analysis and Estimation of News Article Reading Time with Multimodal Machine Learning
Correlation Analysis between Median Income level of District and Quality of Medical Service in Seoul, Korea
Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification
Hitting your number or not? A robust & intelligent sales forecast system
iEnvironment: Perspectives on Metadata-Oriented Testing of Research Software
K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means
CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking
Mining pros and cons of actions from social media for decision support
Towards Dynamic Capture-The-Flag Training Environments For Reinforcement Learning Offensive Security Agents
Theory meets practice approach for Event Correlations
Containerization of Model Fitting Workloads over Spatial Datasets
GINN: Towards Gender InclusioNeural Network
Single-Source Shortest Path Tree for Big Dynamic Graphs
A graph construction study for graph-based semi-supervised learning: Case study on unstructured text data
Operator Placement for Spatio-temporal Tasks
Learning Domain-Specific Word Embeddings from COVID-19 Tweets
A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games
Parallel and quantitative sequential pattern mining for large-scale interval-based temporal data
Transformer Oil Temperature Prediction Based on Long and Short-term Memory Networks
Toward Smart Scheduling in Tapis
CrowdMD: Crowdsourcing-based approach for deduplication
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation
Context Aware Recommender System for Large Scaled Flash Sale Sites
to Protect the Public Opinion Against New Types of Bots?
Developing an edge computing platform for real-time descriptive analytics
SWVBiL-CRF: Selectable Word Vectors-based BiLSTM-CRF Power Defect Text Named Entity Recognition
Detecting Dependency Between Discrete Random Variables and Application
Parity declustering for fault-tolerant storage systems via t-designs
Using AI Cognitive Diagnosis Embedded in a Game-Based Learning Environment
More than the Sum of its Parts: Applying Topic Modeling and Explainable AI to Deep Learning in Understanding Problematic Opioid Use
Reframing Digital Curation Practices through a Computational Thinking Framework
ECG-based Human Authentication using High-level Spectro-temporal Signal Features
A Framework for Knowledge-Derived Query Suggestions
Learning with Sparsely Permuted Data: A Robust Bayesian Approach
Mutually Exclusive Learning for Generators with Multi-Label Classifiers
Fairness in Monotone k-submodular Maximization: Algorithms and Applications
Blockchain Application in Remote Condition Monitoring
Massive graph processing on nanocomputers
Stock Price Prediction Using LLM-Based Sentiment Analysis
Shape-based Evaluation of Epidemic Forecasts
Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms
A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids
Human network usage patterns revealed by telecom data
A distributed pipeline for DIDSON data processing
Determining Viability of Deep Learning on Cybersecurity Log Analytics
Brown Dog: Leveraging everything towards autocuration
Using big data to study the link between human mobility and socio-economic development
Structure recognition from high resolution images of ceramic composites
Fake News Detection via Sentiment Neutralization
EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View Transformer
Bag of Symbols for Time Series Distance Measurement and Applications
MLAS: Metric Learning on Attributed Sequences
Mining microdata: Economic opportunity and spatial mobility in Britain and the United States, 1850-1881
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data
Efficient Multiple Objective Optimization for Fair Misinformation Detection
ExplainerX: An Integrated and Explainable AI Framework for Nearly Zero-Energy Buildings
Collaborative caching techniques for privacy-preserving location-based services in peer-to-peer environments
A Methodology for Analysing Code Anomalies in Open-Source Software Using Big Data Analytics
Ripl: Document-Level Event Argument Extraction via Role-aware Interactive Pointer Labeling Network
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time
On Metric Learning for Complex Data Analysis
bigNN: An open-source big data toolkit focused on biomedical sentence classification
Fake Account Identification in Social Networks
Representative subsets for big data learning using k-NN graphs
Assessing Predictive Models for Energy Consumption Across Varied Software Environments
Reliable fake review detection via modeling temporal and behavioral patterns
Personal Digital Life Coach for Physical Therapy
Elastic Executor Provisioning for Iterative Workloads on Apache Spark
Enhancing Cyber Threat Hunting: A Visual Approach with the Forensic Visualization Toolkit
Scalability Analysis of Cluster-based Betweenness Computation in Large Weighted Graphs
Sign Prediction in Online Games
Unified framework for clinical data analytics (U-CDA)
Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network
What Computational Archival Science Can Learn from Art History and Material Culture Studies
Evaluate and Compare Machine Learning Models for Temperature Forecasting of Meteorological Data in Hohhot
Traffic Demand Prediction Based on Multi-dimensional Graph Convolutional Network
A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence Representation
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model
Exploring AndroidManifest.xml for Automated Android Apps Classification
Scaling out for extreme scale corpus data
Lineage Checkpoint Approach for Long-lineage Problem in Apache Spark
A Framework for the Design, Development, Testing and Deployment of Reliable Big Data Platforms
VENU: Orchestrating SSDs in hadoop storage
Online anomaly detection using non-parametric technique for big data streams in cloud collaborative environment
Granularity-based temporal data mining in hospital information system
Dynamic Bayesian predictive model for box office forecasting
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering
Acquire, adapt, and anticipate: continuous learning to block malicious domains
A scalable solution for group feature selection
GraphSANet: A Graph Neural Network and Self Attention Based Approach for Spatial Temporal Prediction in Sensor Network
An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules
A performance study of AsterixDB
Temporal Aspects of Cyber Threat Intelligence
Phishing through social bots on Twitter
Optimization of Graph Neural Networks with Natural Gradient Descent
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data
Faster online experimentation by eliminating traditional A/A validation
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors
The UCD System for the 2018 FEMH Voice Data Challenge
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
Lung Pattern Classification Via DCNN
Real-time processing of proteomics data: The internet of things and the connected laboratory
Bridging the Gap between Big Data System Software Stack and Applications: The Case of Semiconductor Wafer Fabrication Foundries
AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet
Lazer: Distributed memory-efficient assembly of large-scale genomes
Beyond the Bar: Generative AI as a Transformative Component in Legal Document Review
CORE: Cross-object redundancy for efficient data repair in storage systems
LOCOS: A cosine based local gene expression pattern finding algorithm on time-series data
CTI ANT: Hunting for Chinese Threat Intelligence
Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data Classification
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Compressive Features in Offline Reinforcement Learning for Recommender Systems
Evaluation of Distributed Machine Learning Algorithms for Anomaly Detection from Large-Scale System Logs: A Case Study
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation
A Microservices Platform for Monitoring and Analysis of IoT Traffic Data in Smart Cities
A proactive discovery and filtering solution on phishing websites
Multi-level Feature Fusion Network for Single Image Super-Resolution
Understanding User Topic Preferences across Multiple Social Networks
Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography
Online anomaly detection over Big Data streams
Cyber-Physical Disaster Drill: Preliminary Results and Social Challenges of the First Attempts to Unify Human, ICT and AI in Disaster Response
Federated Meta-Location Learning for Fine-Grained Location Prediction
Entity resolution acceleration using the automata processor
Improving k-Nearest Neighbor Pattern Recognition Models for Privacy-Preserving Data Analysis
A distributed k-core decomposition algorithm on spark
Comprehensive Comparison of LSM Architectures for Spatial Data
Recommendation model based on knowledge graphs and semantic alignment
Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications
Incremental Fuzzy Utility Mining with Tree Structure
Scientific Formula Retrieval via Tree Embeddings
Mobility Optimization on Cyber Physical System via Multiple Object Tracking and Mathematical Programming
Analysis for supply hub in industrial cluster: Classic vs. new perspective
Stochastic Large-scale Machine Learning Algorithms with Distributed Features and Observations
Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks
Prescriptive Equipment Maintenance: A Framework
Heterogeneous Domain Adaptation with Positive and Unlabeled Data
Improved Deep Embeddings for Inferencing with Multi-Layered Graphs
Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests
Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features
Big data availability: Selective partial checkpointing for in-memory database queries
Indexing spatiotemporal relations in solar event datasets
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training
Challenges and Future Directions in Similarity Assessment of Big Data Analytics Workloads
Querying Big Source Code
A Graph Embedding Approach to User Behavior Anomaly Detection
A Survey of Privacy Concerns in Wearable Devices
Distributional Shift Adaptation using Domain-Specific Features
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
AI and archive. Handwritten Text Recognition Applied to Patrimonial Holdings: An Example of 10 diaries written by Spanish Republican Teachers in 1932
FaaS and Furious: abstractions and differential caching for efficient data pre-processing
A study on phenotype prediction using an artificial intelligence-based data augmentation approach
Application of dynamic logistic regression with unscented Kalman filter in predictive coding
Integrated Data Mapping Engine (DaME) for Financial Services
Diversifying trending topic discovery via Semidefinite Programming
Exploring an Embodied Conversation Agent to Act as an Empathetic Doctor for use in Telehealth
Crowd Forecasting at Venues with Microblog Posts Referring to Future Events
Multi-layered Clustering for Context-aware Monitoring of District Heating Network
Pedestrian Trajectory Prediction Using Pre-trained Machine Learning Model for Human-Following Mobile Robot
Analyzing False Positive Source Code Vulnerabilities Using Static Analysis Tools
Influence Propagation for Social Graph-based Recommendations
Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data
Big data, better energy management and control decisions for distribution systems in smart grid
A Hybrid Salient Object Detection with Global Context Awareness
GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations
Heterogeneous knowledge transfer via domain regularization for improving cross-domain collaborative filtering
A Programming Framework for Heterogeneous Stream Analytics
Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Data
Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics
Bi-Directional Face Tracking for Precise Facial De-identification in Video Data
Research on the Evolution of the Influence of Opinion Leaders in Social Networking Sites Taking Zhihu.com as an Example
Multimodal Lyrics-Rhythm Matching
Detecting Anomalies in the LCLS Workflow
A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning
Lossy Predictive Models for Accurate Classification Algorithms
Characterization of daily tourism behaviors based on place sequence analysis from photo sharing websites
Learning to Generate Radiology Findings from Impressions Based on Large Language Model
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs)
Front-running Attack Detection in Blockchain using Conditional Packing Generative AI
RAMP: Real-Time Anomaly Detection in Scientific Workflows
Fast Illegal Webpage Detection Algorithm Based on Massive Domain Name Resolution Records
Brain Stroke Prediction Using Machine Learning Techniques
TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning
A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments
Dynamic Partition Forest: An Efficient and Distributed Indexing Scheme for Similarity Search based on Hashing
Real-time Machine Learning Based on Hoeffding Decision Trees for Jamming Detection in 5G New Radio
Online city-scale hyper-local event detection via analysis of social media and human mobility
Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training
NLP for Responsible Finance: Fine-Tuning Transformer-Based Models for ESG
Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure
Multi-layer Embedding Neural Architecture with External Memory for Large-Scale Text Categorization
Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies
Coordinating Electric Vehicles: Impacts on Mobility-Service and Electricity Markets
Spatiotemporal visualization of traffic paths using color space time curve
HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition
A comparison of general-purpose distributed systems for data processing
Fairness Improvement Technology and Visualization Services for binary classification datasets collected on a batch basis
Inferring crowd-sourced venues for tweets
Demand Modeling for Advanced Air Mobility
Application of Time Series Analysis Methods to Assess the impact of COVID-19 on Carbon Dioxide Emission Reduction in Connecticut
Scheduling of Big Data application workflows in cloud and inter-cloud environments
Fast Top-N Personalized Recommendation on Item Graph
BINARY: A framework for big data integration for ad-hoc querying
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
A Complete Privacy-Preserving Credit Score System Using Blockchain and Zero Knowledge Proof
DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics
Supporting large scale connected vehicle data analysis using HIVE
Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing
Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge Graph
Leveraging Differential Privacy in Geospatial Analyses of Standardized Healthcare Data
Big Data Exploitation in Cosmology: The Euclid Scientific Archive System
Detecting and identifying system changes in the cloud via discovery by example
LabBook: Metadata-driven social collaborative data analysis
Key Compression Limits for k-Minimum Value Sketches
On Modeling Adaptive Index Management as Adversarial Search
Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain Modeling
Synthesizing Accurate Relational Data under Differential Privacy
HPC infrastructure to support the next-generation ARM facility data operations
On Learning Psycholinguistics Tools for English-based Creole Languages using Social Media Data
Investigating the Relationship Between High-Latitude Dust and Precipitation
PynqCopter - An Open-source FPGA Overlay for UAVs
Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning Techniques
Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning
Access-averse framework for computing low-rank matrix approximations
Pricing the woman card: Gender politics between hillary clinton and donald trump
High-Utility Pattern Mining in Hadoop Environments
AI applications in forest monitoring need remote sensing benchmark datasets
Klout score: Measuring influence across multiple social networks
Sentiment Analysis for Turkish Unstructured Data by Machine Translation
Kirchhoff's Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiters
Privacy-Aware Federated Learning for Page Recommendation
Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing
Federated Learning for Sparse Principal Component Analysis
NoSQL schema evolution and big data migration at scale
Towards MapReduce based Bayesian deep learning network for monitoring big data applications
Prediction of regional goods demand incorporating the effect of weather
A Novel Hybrid CNN-Transformer Framework for Spatiotemporal Prediction of O3
Advanced Deadlock Detection and Resolution in Distributed File Systems Using AI and Daemon Processes
Big data: A new challenge for tourism
Developing a cloud computing platform for Big Data: The OpenStack Nova case
QuAD: A quorum protocol for adaptive data management in the cloud
Spaler: Spark and GraphX based de novo genome assembler
Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview
Fast botnet detection from streaming logs using online lanczos method
IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data
Paper Recommendation Based on Citation Relation
Privacy-preserving Heterogeneous Federated Transfer Learning
Genetic deep neural networks using different activation functions for financial data mining
Dynamic Chunkwise CNN for Distantly Supervised Relation Extraction
Understanding Spatio-Temporal Urban Processes
Traffic Study of Shared Micromobility Services by Transportation Simulation
Streamlined and Accelerated Cyber Analyst Workflows with CLX and RAPIDS
PRIIME: A generic framework for interactive personalized interesting pattern discovery
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles
Training Variational Autoencoders for Population Synthesis in Public Health with Missing Data
MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest Neighbors
Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis
Automated knowledge extraction from the federal acquisition regulations system (FARS)
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning
Big data for business managers - Bridging the gap between potential and value
Nuclear Pore Segmentation in 3D FIB-SEM Images with Dynamic Cyclical Data Augmentation