yusuke1997/dblp-id-title huggingface dataset:
A medical price prediction system using hierarchical decision trees
Scaling deep social feeds at Pinterest
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data
A Conversational User Interface for Stock Analysis
An Experimental Comparison of GPU Techniques for DBSCAN Clustering
Conception of a Reference Architecture for Machine Learning in the Process Industry
OpenFridge: A platform for data economy for energy efficiency data
SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics
Visualizing Effects of COVID-19 Social Isolation with Residential Activity Big Data Sensor Data
Managing a complicated workflow based on dataflow-based workflow scheduler
Hypergraph of Text: a Mathematical Structure for Organizing and Analyzing Big Text Data
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches
An Evaluation of Large Language Models in Financial Sentiment Analysis
Standardization on Bias in Artificial Intelligence as Industry Support
Salient Object Detection with Convex Hull Overlap
Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data
Named Entity Recognition in Long Documents: An End-to-end Case Study in the Legal Domain
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment
Overplotting: Unified solutions under Abstract Rendering
Implementing trajectory data stream analysis in parallel
Optimization of Urban Heating Network Design Using Genetic Algorithm
DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting
TelcoFlow: Visual exploration of collective behaviors based on telco data
A text-based mining approach for real estate policy impact monitoring and analysis
Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing
Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning
CoStock: A DeepFM Model for Stock Market Prediction with Attentional Embeddings
Graphical approach for influence maximization in social networks under generic threshold-based non-submodular model
Towards a mobile social data commons
Solar Flare Prediction Using Two-tier Ensemble with Deep Learning and Gradient Boosting Machine
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System
Tensor-based Approach to Big Data Processing and Machine Learning
Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams
Deep Proposal and Detection Networks for Road Damage Detection and Classification
A stream partitioning approach to processing large scale distributed graph datasets
Analysis of EXILE TRIBE in the music scene using mathematical model of hit phenomenon
ScaDLES: Scalable Deep Learning over Streaming data at the Edge
Sketching Multidimensional Time Series for Fast Discord Mining
MiSTRAL: An architecture for low-latency analytics on MasSive time series
Benchmarking API Costs of Network Sampling Strategies
Adaptive Content Forwarding Mechanism for Platoon based Vehicular Named Data Networks
Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
Towards a provenance-aware spatial-temporal architectural framework for massive data integration and analysis
Decentralized Storage for Big Data in Healthcare between Reality and Ambition: IPFS and Sia
Exploring Index Structures for Zoned Namespaces SSDs
Blockchain Technology as a Mechanism for Digital Railway Ticketing
MBAG: A Scalable Mini-Block Adaptive Gradient Method for Deep Neural Networks
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest
Network-aware resource management for scalable data analytics frameworks
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification
Financial Forecasting with Clustering Guided Modeling
Utilizing Macroeconomic Factors for Sector Rotation based on Interpretable Machine Learning and Explainable AI
Using Transfer Learning to contextually Optimize Optical Character Recognition (OCR) output and perform new Feature Extraction on a digitized cultural and historical dataset
Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training?
An Improved Vulnerability Detection System of Smart Contracts Based on Symbolic Execution
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation
Convolutional Neural Network Optimization for Phishing Email Classification
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems
A Hybrid Ensemble Deep Learning Approach for Emotion Classification
An improved social spammer detection based on tri-training
A Soft Sensing Prediction Model of Superheat Degree in the Aluminum Electrolysis Production
A Study on Big Data Cluster in Smart Factory using Raspberry-Pi
A Study of Foundation Models for Large-scale Time-series Forecasting
A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors
A Variability-Aware Design Approach to the Data Analysis Modeling Process
USER: Towards High-Utility Sequential Rules with Repetitive Items
Privacy-Friendly ID-Free Digital Ad Targeting using URL Embeddings
Mini-apps for high performance data analysis
Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data
Mining Temporal Fuzzy Utility Itemsets by Tree Structure
Towards online graph processing with spark streaming
Predicting Stock Price Trend Using Candlestick Chart Blending Technique
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection
Exploring Tourism Value Using Boundary Objects and Edges
Database decay and how to avoid it
Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia
Situation-Based Interpretable Learning for Personality Prediction in Social Media
Efficient gear-shifting for a power-proportional distributed data-placement method
Applications of Structural Equivalence to Subgraph Isomorphism on Multichannel Multigraphs
Identifying Outliers in AI-based Image Compression
Dynamic Thresholding Leading to Optimal Inventory Maintenance
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight
Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary Information
Adaptive resilient strategies for supply chain networks
A Feature Fusion Method Based on Multi-Classification Losses for Fine-Grained Visual Categorization
EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code
On the feasibility of an embedded machine learning processor for intrusion detection
Assessing Deep Neural Networks as Probability Estimators
Enumerating Top-k Quasi-Cliques
SENSE: Semantically Enhanced Node Sequence Embedding
Application of XGBoost to the cyber-security problem of detecting suspicious network traffic events
The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food Security!
Covid-19 digital Contact-tracing: a doorway to well-being or a backdoor to security vulnerabilities?
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network
Augmenting Software Project Managers with Predictions from Machine Learning
Know your customer: Detection of Customer Experience (CX) in Social Platforms using Text Categorization
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams
Highly-Scalable Container Integrity Monitoring for Large-Scale Kubernetes Cluster
Quick model fitting using a classifying engine
A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction
M²-CNN: A Macro-Micro Model for Taxi Demand Prediction
Dual-Path Side Information Fusion for Sequential Recommendation
Stochastic Finite Automata for the translation of DNA to protein
Big Data Testing Framework for Recommendation Systems in e-Science and e-Commerce Domains
Link Ontology Analytics: Representing COVID-19 Data as Network Links
Access Control Model Extensions to Support Data Privacy Protection based on GDPR
Adaptive Attacks and Targeted Fingerprinting of Relational Data
In pursuit of outliers in multi-dimensional data streams
Automated Interpretation of Non-Destructive Evaluation Contour Maps Using Large Language Models for Bridge Condition Assessment
Subject-Oriented Data Retrieval and Analysis on Sina Weibo
Adaptive Deep Learning based Time-Varying Volume Compression
Federated Learning Governance using Eclipse Dataspace Components Connectors
DaaS: Internet-perception big data systems based on AI
Document-Level Event Argument Extraction Based on Bidirectional Span Detection
Towards unsupervised home location inference from online social media
Interdependency between the Stock Market and Financial News
Road Damage Detection for Multiple Countries
Iterative Deep Learning for Muon Scattering Tomography
LIGHT: Enabling Instant Communication for Web Surfers with Momentary Needs
The Bot will serve you now: Automating access to archival materials
Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching
Agent-based modeling to simulate road travel using Big Data from smartphone GPS: An application to the continental United States
Conversion-Based Dynamic-Creative-Optimization in Native Advertising
Graph Mining-based Trust Evaluation Mechanism with Multidimensional Features for Large-scale Heterogeneous Threat Intelligence
HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards
HL-LSM: A LSM-Tree Combined with Read Hotness and Learned Index
Identifying epochs in text archives
Tracking and Predicting Productions in Agricultural Processes: Applications and Experiences
Predicting Patent Transfer in the Manufacturing Industry: A Machine Learning Model for Patent Analytics Using BERT
Zero-Shot Relational Learning for Multimodal Knowledge Graphs
Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR
Exploring Data Corruption Inside SZ
Enhancing Network Traffic Classification with Large Language Models
Fly-ABAC: Attribute Based Access Control for the Navigation of Unmanned Aerial Vehicles
Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products
DQA: Scalable, Automated and Interactive Data Quality Advisor
Parallel Gradient Boosting based Granger Causality Learning
IVAS: Facilitating Safe and Comfortable Driving with Intelligent Vehicle Audio Systems
Computing betweenness centrality in external memory
Session-aware Item-combination Recommendation with Transformer Network
CORSAIR: A Framework for Human Mobility Prediction through Visit Characterization and Spatial Behavior Modeling
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social Biases
An Word2vec based on Chinese Medical Knowledge
Automatic Tuning of Hyperparameters for Neural Networks in Serverless Cloud
An Efficient System for Subgraph Discovery
Towards a more Accurate and Fair SVM-based Record Linkage
Actionable Knowledge Extraction Framework for COVID-19
Music Sequence Prediction with Mixture Hidden Markov Models
SMART: Sponsored mobile app recommendation by balancing app downloads and appstore profit
RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing
The content correlation of multiple streaming edges
AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks
ABF-FNN: A new fuzzy neural network for predicting coal mine gas concentration hazard
Graph Filtering to Remove the "Middle Ground" for Anomaly Detection
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
Polymer: An Adaptive Kill Chain Expanding Cyber Threat Hunting to Multi-Platform Environments
Performance Optimization of SpMV on Spark
LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data
Scalable Object Tracking in Smart Cities
Kensor: Coordinated Intelligence from Co-Located Sensors
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
A Novel Machine Learning Based Framework for Bridge Condition Analysis
Implicit Discriminatory Bias Reflected in Yelp Reviews - A case study
Dark patterns in e-commerce: a dataset and its baseline evaluations
Big Data Streaming Analytics for QoE Monitoring in Mobile Networks: A Practical Approach
The Utility of Standards and Good Practice Guidelines for Records Professionals: comparing apples, oranges, and other fruits
Dynamic Online Performance Optimization in Streaming Data Compression
Are central-zone restaurants better for consumers? -An analytical approach
Mathematical programming for social network analysis
Transforming Agriculture with Intelligent Data Management and Insights
Extracting geographical characteristics about COVID-19 evolution worldwide using machine learning
Digital Forensics Process of an Attack Vector in ICS environment
StreamTeam-Football: Analyzing Football Matches in Real-Time on the Basis of Position Streams
Semantic-based Attention model for Hospital Readmission Prediction
Multi-layer Caching and Parallel Streaming for Large Scale Cloud Optimized Point Cloud Data Visualization using WebGPU
Evaluating the quality of graph embeddings via topological feature reconstruction
An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning
How not to drown in a sea of information: An event recognition approach
Rail Track Quality and T-Stochastic Neighbor Embedding for Hybrid Track Index
FS 3 : A sampling based method for top-k frequent subgraph mining
Implementing connected component labeling as a user defined operator for SciDB
Class Balancing for Fraud Detection in Point Of Sale Systems
TensorSearch: Parallel Similarity Search on Tensors
Big Data Processing for Power Grid Event Detection
Big data analysis of youth tobacco smoking trends in the United States
Analysis of the term 'big data': Usage in biomedical publications
Big Data and Data Visualization Challenges
VIMTS: Variational-based Imputation for Multi-modal Time Series
What is skipped: Finding desirable items in e-commerce search by discovering the worst title tokens
Mining process for improvement of clinical process quality
Automatic Construction of Sentiment Lexicon by Analyzing SMS Bigdata
Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion
Identifying Failing Point Machines from Sensor-Free Train System Logs
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning
Towards Encrypting Industrial Data on Public Distributed Networks
Augmenting word embeddings through external knowledge-base for biomedical application
A hybrid predictive model for high-frequency and multi-periodic data in call center of online travel agency
End-to-end Multiple Instance Learning with Gradient Accumulation
Network optimization of food flows in the U.S
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention Model
Hydra: Cancer Detection Leveraging Multiple Heads and Heterogeneous Datasets
The value of analytical queries on Social Networks
Distributed life cycle scheduling for cascaded data processing
Classification of massive mobile web log URLs for customer profiling & analytics
Evaluating the performance and scalability of the Ceph distributed storage system
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams
Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports
From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks
Efficient learning from explanation of prediction errors in streaming data
FAE: A Fairness-Aware Ensemble Framework
Join algorithms on GPUs: A revisit after seven years
Evolving Energy Efficient Convolutional Neural Networks
Persisting in-memory databases using SCM
Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants
Boosting Feedback: A Framework for Enhancing Ground Truth Data Collection
BTE-Sim: Fast Simulation Environment For Public Transportation
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection
Chain-Based Outlier Detection for Complex Data Scenarios
Predicting annual average daily highway traffic from large data and very few measurements
ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing
Market Trend Analysis Using Polarity Index Generated from Analyst Reports
Building a generic platform for big sensor data application
Towards green cloud computing: Demand allocation and pricing policies for cloud service brokerage
A Multi-Modal Transformer Architecture Combining Sentiment Dynamics, Temporal Market Data, and Macroeconomic Indicators for Sturdy Stock Return Forecasting
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion
Ontology-driven knowledge base for digital humanities: Restructuring knowledge organization at the library of the Folkwang University of the Arts
Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms
High-Throughput Adaptive Data Virtualization via Context-Aware Query Routing
Efficient Encodings for Privacy-Preserving Data Storage and Transmission
Composable and efficient functional big data processing framework
SQL versus NoSQL databases for geospatial applications
Multi-input-output Fusion Attention Module for Deblurring Networks
Predictive model of frailty onset using Bayesian network
International standard "OGC® moving features" to address "4Vs" on locational bigdata
A geohydrologie data visualization framework with an extendable user interface design
Computational Archives of Population Dynamics and Migration Networks as a Gateway to Get Deep Insights into Hard-to-reach Populations: Research on Taiwan Indigenous Peoples
iSkin Specialist - An Artificial Intelligence Aided Diagnostic Support System for Dermatology
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs
Leveraging high performance computing to drive advanced manufacturing R&D at the US department of energy
Exploring the Brand Competition Patterns of China's Auto Market with Massive Sales Leads
The case for graph-based recommendations
Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs
Comparing Shallow and Deep Graph Models for Brain Network Analysis
Model-driven deployment and management of workflows on analytics frameworks
Profiling Astroturfing Facebook Users During Three Contiguous Israeli Election Periods
Stock Prediction using Deep Learning and Sentiment Analysis
Application-specific graph sampling for frequent subgraph mining and community detection
WeightedMMoE: Weighted Multi-Gate Mixture-of-Experts for Multi-Source Unsupervised Domain Adaptation
An efficient map-reduce algorithm for computing formal concepts from binary data
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
A comparative study of dual-tree algorithm implementations for computing 2-body statistics in spatial data
Extracting cyber threat intelligence from hacker forums: Support vector machines versus convolutional neural networks
Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data
Analyzing Alibaba's Co-located Datacenter Workloads
Latent Cluster Discovery in a Collection of Low Count Non-Gaussian Time Series in Economics Domain
Multi-Objective Submodular Optimization with Approximate Oracles and Influence Maximization
Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion
Hardware acceleration of Hadoop MapReduce
Who's in My Archive? An End-to-End Framework for Automatic Annotation of TV Personalities
Optimizing Legal Information Access: Federated Search and RAG for Secure AI-Powered Legal Solutions
Ranked time series matching by interleaving similarity distances
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks
Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control
EfficientViT for Video Action Recognition
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection
Engineering Data Assets for Public Health Applications: A Covid-19 Case Study
Image Mining for Real Time Quality Assurance in Rapid Prototyping
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction
Mining Satellite Imagery for Offshore Wind Energy
Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural Network
A Markov chain collaborative filtering model for course enrollment recommendations
MCDD: Multi-class Distribution Model for Large Scale Classification
Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification
Exploring privacy-enhancing technologies in the automotive value chain
Cyst segmentation on kidney tubules by means of U-Net deep-learning models
Compact multi-class boosted trees
Radically Simplifying Gated Recurrent Architectures Without Loss of Performance
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
MTSAD: Multivariate Time Series Abnormality Detection and Visualization
Towards a requirements engineering artefact model in the context of big data software development projects: Research in progress
Global and Local Structure Learning for Sparse Tensor Completion
AttentionXML VS LLMs: An Empirical Evaluation of Extreme Multi-Label Classification Techniques
iSkin specialist - A big data based expert system for dermatology
A Fast, Scalable, Universal Approach For Distributed Data Aggregations
Comprehensive Evaluation of Deep LTSF Models for Forecasting of Air Quality Index
Using Web-Scale Graph Analytics to Counter Technical Support Scams
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research
Statistical analysis of hotel plan popularity in regional tourist areas
Federated Orchestration Framework for Integrated Core and Edge Network Security: Combining P4-ShieldNet and SAFE-CAST
Enabling factor analysis on thousand-subject neuroimaging datasets
An epidemic simulation with a delayed stochastic SIR model based on international socioeconomic-technological databases
Unsupervised data mining on spatial-temporal passenger mobility and survey data during Covid-19
Semantic approach to automating management of big data privacy policies
Identifying Tips Web Sites of a Specific Query based on Search Engine Suggests and the Topic Distribution
Privacy-Preserving Identity and Access Management in Multiple Cloud Environments: Models, Issues, and Solutions
Shape matching using skeleton context for automated bow echo detection
Computational Analysis to Capture Cluster Lifetime Dynamics
Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study
Assessing Regional Disparities in Human Development and Multidimensional Poverty: A Satellite Imagery and Machine Learning Approach
NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach