yusuke1997/dblp-id-title huggingface dataset:
EEG Signal-Based Authentication: A Performance Evaluation of Feature Extraction and Classification Techniques
Seeing the Unseen: A Forecast of Cybersecurity Threats Posed by Vision Language Models
A Framework for Unlocking and Linking WWII Japanese American Incarceration Biographical Data
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components
Doctor for Machines: A Failure Pattern Analysis Solution for Industry 4.0
On the improvement of classifying EEG recordings using neural networks
DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation
SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams
Deep topology classification: A new approach for massive graph classification
Optimal Sensor Placement for Atmospheric Inverse Modelling
Characterizing the Online Discourse in Twitter: Users' Reaction to Misinformation around COVID-19 in Twitter
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance
Group privacy-aware disclosure of association graph data
Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data
Integrating Heterogeneous Data for a Multi-disease Outbreak Detection Framework
Towards Tabular Embeddings, Training the Relational Models
Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting
Big data team process methodologies: A literature review and the identification of key factors for a project's success
An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge Tracing
Uncovering information flow among users by time-series retweet data: Who is a friend of whom on Twitter?
Exploring the interplay between DataSpaces and Large Language Models
Constrained region selection method based on configuration space for visualization in scientific dataset search
Making massive computational experiments painless
BayesWipe: A multimodal system for data cleaning and consistent query answering on structured bigdata
POIBERT: A Transformer-based Model for the Tour Recommendation Problem
Mix 'n' match multi-engine analytics
Enabling Privacy Policies for mHealth Studies
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
Combining Multiple Implicit-Explicit Interactions for Regression Analysis
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
Return of experience on the mean-shift clustering for heterogeneous architecture use case
Reducing numerical precision preserves classification accuracy in Mondrian Forests
Clustering-based Unsupervised Generative Relation Extraction
AI-Based Online P2P Lending Risk Assessment On Social Network Data With Missing Value
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification
ASDCLAIMS: Twitter Dataset of Claims on Autism Spectrum Disorder
Improving the co-training algorithm to enhance semi-supervised learning results
Sandpiper: Scaling probabilistic inferencing to large scale graphical models
Federated Learning with Clustering-Based Participant Selection for IoT Applications
Toward End-to-End Deception Detection in Videos
Random surfing on multipartite graphs
Choosing the Right Time to Learn Evolving Data Streams
Towards Simplification of Analytical Workflows With Semantics at Siemens (Extended Abstract)
Regression trees for streaming data with local performance guarantees
A Deep Learning-based Prefetching Approach to Enable Scalability for Data-intensive Applications
A Pose and Shape-Aware Cross-Skeleton Motion Retargeting Framework
GPURank: A Cloud GPU Instance Recommendation System
A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables
Pangolin: Incast Avoidance in Large Datacenter Networks
Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation
Real-time data analysis in ClowdFlows
Intelligent authorship identification with using Turkish newspapers metadata
Rewriting complex SPARQL analytical queries for efficient cloud-based processing
Opinion Mining at Scale: A Case Study of the First Self-driving Car Fatality
Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data
Bob Jenkins Lookup3 Hash Function on OpenCL FPGA Platform
Self-adaptive event recognition for intelligent transport management
The Adaptive Projection Forest: Using adjustable exclusion and parallelism in metric space indexes
On the combined effect of class imbalance and concept complexity in deep learning
Moral Frameworks and Sentiment in Tweets: A Comparative Study of Public Opinion on the Israeli-Palestine Conflict
Predictive edge computing for time series of industrial IoT and large scale critical infrastructure based on open-source software analytic of big data
Parallel computation of k-nearest neighbor joins using MapReduce
Bias correction in clustering coefficient estimation
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure
DUGRA: Dual-Graph Representation Learning for Health Information Networks
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network
Question-Attentive Review-Level Recommendation Explanation
Modeling user communities for identifying security risks in an organization
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
Insider Threat Detection via Hierarchical Neural Temporal Point Processes
A Hierarchical Framework for Timely Freeway Accident Detection and Localization
Predicting ChatGPT's Ability to Solve Complex Programming Challenges
D2D-TM: A Cycle VAE-GAN for Multi-Domain Collaborative Filtering
Contrastive Learning in Neural Tensor Networks using Asymmetric Examples
Faulted Line Identification and Localization in Power System using Machine Learning Techniques
Hex2Sign: Automatic IDS Signature Generation from Hexadecimal Data using LLMs
Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting
Detection of Hijacked Authoritative DNS Servers by Name Resolution Traffic Classification
Characterization of cities based on world grid square statistics about specific properties
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System
Fool 'Em All - Fool-X: A Powerful & Fast Method for Generating Effective Adversarial Images
ACE - An Anomaly Contribution Explainer for Cyber-Security Applications
Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis
Detecting Heart Rate Variability using Millimeter-Wave Radar Technology
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract)
SS-dedup: A high throughput stateful data routing algorithm for cluster deduplication system
Inventory Based Recommendation Algorithms
Things, objects, subjects and stuff: IoMuSt and ubimus perspectives on AI
Blockchain-Based Decentralized Verifiable Credentials: Leveraging Smart Contracts for Privacy-Preserving Authentication Mechanisms to Enhance Data Security in Scientific Data Access
Optimal Rate Control for Latency-constrained High Throughput Big Data Applications
Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress
Spatio-temporal Causal Learning for Streamflow Forecasting
Gen-AI for User Safety: A Survey
A Method-Level Test Generation Framework for Debugging Big Data Applications
Measuring Application Interference With System-Level Instrumentation
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
Streaming Sparse Graphs using Efficient Dynamic Sets
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
YOLO based Ocean Eddy Localization with AWS SageMaker
Spark deployment and performance evaluation on the MareNostrum supercomputer
Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data
IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays
A Nonlocal Denoising Framework Based on Tensor Robust Principal Component Analysis with ℓp norm
Sequential Anomaly Detection with Local and Global Explanations
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States
Practical message-passing framework for large-scale combinatorial optimization
DWT-TimesNet: An Improved Model for Wheat Price Long-Time Series Forecasting
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network
Multi-Database Monitoring Tool for the E-Health Services
Table Structure Recognition via Encoder/Decoder Vision Transformers
A Pre-training Oracle for Predicting Distances in Social Networks
An entity disambiguation method based on LeaderRank
BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization
Multi-objective optimization for resilient airline networks using socioeconomic-environmental data
Neuro-heuristic Pallet Detection for Automated Guided Vehicle Navigation
The Applicability of Authorship Verification to Swedish Discussion Forums
MultiBlock: A Scalable Iterative Approach for Progressive Entity Resolution
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation
Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter Collections
Financial Networks: A Study of the Toronto Stock Exchange
Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program
TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained Devices
Real-time energy prediction for a milling machine tool using sparse Gaussian process regression
A Game Theoretic Analysis for Cooperative Smart Farming
Distributed and Parallel Sparse Computing for Very Large Graph Neural Networks
Dynamic Power Reduction of TCAM Using Selective Precharging of Match Lines
A Novel Deep Learning Pipeline to Analyze Temporal Clinical Data
Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning
Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads
Multimodal Deep Homography Estimation Using a Domain Adaptation Generative Adversarial Network
Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study
Resources Construction and LLM Fine-tuning for Education of Computer Science
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
Spatial big data analytics of influenza epidemic in Vellore, India
Architecture-aware graph repartitioning for data-intensive scientific computing
Fine-grained power analysis of emerging graph processing workloads for cloud operations management
Characterizing and Utilizing the Interplay Between Core and Truss Decompositions
Generating polystore ingestion plans - A demonstration with the AWESOME system
Predicting over-indebtedness on batch and streaming data
A computational method of identifying false positives in the variant calling
An Intelligent Class: The Development Of A Novel Context Capturing Framework Supporting The Functional Auto-Classification Of Records
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain
On Privileged Information Driven Robust Face Verification: A Siamese Convolutional Neural Network Approach
Answer Comments As Reviews: Predicting Acceptance By Measuring Valence On Stack Exchange
Deep in the Dark: A Novel Threat Detection System using Darknet Traffic
Estimation of Disease Code from Electronic Patient Records
City users' classification with mobile phone data
Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!
Hybrid 2D and 3D Visual Analytics of Network Simulation Data
Big data, big data quality problem
Drone-Based Tower Survey by Multi-Task Learning
Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data
Decentralized Personalized Online Federated Learning
General Risk Index : A Measure for Predicting Violent Behavior Through Written Communication
Scalable genomics: From raw data to aligned reads on Apache YARN
Wikipedia Polarization and Its Effects on Navigation Paths
Performance Evaluation of Ethereum-based On-chain Sensor Data Management Platform for Industrial IoT
MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential Recommendation
AGO-FT: An adaptive guided oversampling based on fast space division and trustworthy sampling space for imbalanced noisy datasets
Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
Using deep learning to automatically detect talk moves in teachers'mathematics lessons
PROFET: PROFiling-based CNN Training Latency ProphET for GPU Cloud Instances
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract)
AD 2 : Improving Quality of IoT Data through Compressive Anomaly Detection
Ego-Network Transformer for Subsequence Classification in Time Series Data
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
Change detection in temporally evolving computer networks: A big data framework
The Impact of COVID-19 on Human Mobility: A Case Study on New York
ConvTab: A Context-Preserving, Convolutional Model for Ad-Hoc Table Retrieval
Building an Automated and Self-Aware Anomaly Detection System
A theoretical model for n-gram distribution in big data corpora
Service Provisioning through High Level, Complexity Hiding Interfaces
Large-scale Data-driven Segmentation of Banking Customers
Predictive Maintenance on Aircraft and Applications with Digital Twin
Identifying the most Common Frameworks Data Science Teams Use to Structure and Coordinate their Projects
Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model
Investigating Data Reusability in Density Functional Theory Studies
Discovering Similar Spike Patterns in High Dimensional Biomedical Signals
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators
Learning and Recognizing Archeological Features from LiDAR Data
AONT-NZZD: A Secure and Efficient Dispersal Scheme in Distributed Storage Systems
2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning
Text mining using clinical terms in electronic records of annual falls of patients in home community care
Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators
Learning Fast and Slow: A Unified Batch/Stream Framework
Travel Pattern Extraction from Smart Card Data using Data Polishing
A survey of semantic similarity and its application to social network analysis
Query optimization over a heterogeneously distributed scientific database
Intervention Recommendation for Improving Disability Employment
GPU-accelerated incremental correlation clustering of large data with visual feedback
Double-Environmental Q-Learning for Energy Management System in Smart Grid
Memory access pattern based insider threat detection in big data systems
Automatic classification of securities using hierarchical clustering of the 10-Ks
Shaping data: Visualization under construction
Learning Robust Food Ontology Alignment
An improved memory management scheme for large scale graph computing engine GraphChi
Computational Thinking Integration into Archival Educators' Networked Instruction
Dual Priors Network for RGB-D Salient Object Detection
Cross-Lingual Propaganda Detection
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition
The Dynamic-FPM: An Approach for Identifying Events from Social Networks Using Frequent Pattern Mining and Dynamic Support Values
One Stone, Three Birds: Finer-Grained Encryption with Apache Parquet @ Large Scale
Graph Encoding-Enhanced Transformer for Drug Recommendation
On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data
Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data Integration
Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter
An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data
Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information
ADraw: A novel social network visualization tool with attribute-based layout and coloring
VQ-VGAE: Vector Quantized Variational Graph Auto-Encoder for Unsupervised Anomaly Detection
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values
FedUNRAN: On-device Federated Unlearning via Random Labels
Internet Trolls against Russian Opposition: A Case Study Analysis of Twitter Disinformation Campaigns against Alexei Navalny
Diffusion Models for Automatic Music Mixing
Machine Learning Approaches for Authorship Attribution using Source Code Stylometry
A partitioning approach to scaling anomaly detection in graph streams
Semantic search (invited talk)
Predictive Modeling for Early Alzheimer's Disease Using Natural Language Processing
Harnessing the Power of Graph Neural Networks for Personalized Rail Recommendations
Coupled IGMM-GANs for improved generative adversarial anomaly detection
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
Dynamic Collaborative Visualization Ecosystem to Support the Analysis of Large-Scale Disparate Data
Optimization of Public Bus Route in a Smart City Utilizing Real-time Human Location Data Analysis
Joint time-series learning framework for maximizing purchase order renewals
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes
Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data
Empirical Evaluation of Federated Learning with Local Privacy for Real-World Application
Yet Another Deep Learning Approach for Road Damage Detection using Ensemble Learning
Woolery: Extending Frame Semantics to Structured Documents
Multi-Query Optimization Revisited: A Full-Query Algebraic Method
Progressive prediction of hospitalisation and patient disposition in the emergency department
Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning
A Convergence Theory for Federated Average: Beyond Smoothness
Multi-Scale Demographic Analysis of Covid-19 Booster Vaccination Rates Using Graph Neural Networks
Multi-modal Hate Speech Detection using Machine Learning
Feature Hashing with Insertion and Deletion of Features
Queryable Compression on Time-Evolving Social Networks with Streaming
Developing sustainable trading strategies using directional changes with high frequency data
CloudEC: A MapReduce-based algorithm for correcting errors in next-generation sequencing big data
A Statistical Correlation Analysis of Big Data in Machining
Identifying Truly Suspicious Events and False Alarms Based on Alert Graph
Edge computing architecture for applying AI to IoT
The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water
Drug Abuse Detection in Twitter-sphere: Graph-Based Approach
Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability
ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters
Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection
Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale
Seasonal-Trend Time Series Decomposition on Graphics Processing Units
A Data Lightweight Scheme for Parallel Proof of Vote Consensus
Granular modeling with fuzzy comparators
Divide-and-Conquer Kronecker Product Decomposition for Memory-Efficient Graph Approximation
High dimensional data processing for fetal activity evaluation
Lossless Data Compression with Bit-back Coding on Massive Smart Meter Data
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior
Analytical the large-scale collection of data on the results of the guides for foreigners visiting Japan
The anomaly segmentation via dynamic branch fusion
A low-load stream processing scheme for IoT environments
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
Ship Detection from Optical Remote Sensing Images
Small Data for Cyberbullying Prediction
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
Identification of factors that induce recreational cycling using a route generation model
Graph analytics and storage
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry
Dynamic Price Personalization: Predicting the Optimum Price to Maximize Revenue
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators
Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain
Whales, Dolphins, or Minnows? Towards the Player Clustering in Free Online Games Based on Purchasing Behavior via Data Mining Technique
Efficient triangle listing for billion-scale graphs
Uniformization, organization, association and use of metadata from multiple content providers and manufacturers: A close look at the Building Automation System (BAS) sector
Performance Evaluation of Multi-Contrast Dixon MRI and CT for Abdominal Fat and Muscle Segmentation Using a UNet CNN
Mining lifestyle personas at scale in e-commerce
Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic
Banknotes Serial Number Coding Recognition
Detecting ECG Heartbeat Abnormalities using Artificial Neural Networks
Causal Tracing to Identify Hacking Knowledge in Large Language Models
Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees
On Energy-aware and Verifiable Benchmarking of Big Data Processing targeting AI Pipelines
Realtime Robustification of Interdependent Networks under Cascading Attacks
ASPIRE: A Multi-Agent Framework for Execution-Free Code Analysis and Repair
Parallelization of Sequential Pattern Sampling
Patient-like-mine: A real time, visual analytics tool for clinical decision support
Effective Net Load Forecasting in Solar-Integrated Homes with Battery Systems
A Deep Recurrent Neural Network to Support Guidelines and Decision Making of Social Distancing
Will Sentiments in Comments Influence Online Video Popularity?
Predictive analytics for litigation case management
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm
Dynamic Analysis for the Detection of Locked Ether Smart Contracts
Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs
Visualization and diagnosis of earth science data through Hadoop and Spark
Visual Analytics and Exploration of Calcium Transient Imaging Data using Event-Based Clustering
From Graph Paths to Natural Language: Enhancing LLM Reasoning for Multi-choice Question-Answering Tasks
ThanosNet: A Novel Trash Classification Method Using Metadata
Session-Based Recommendation Model Based on Multiple Neural Networks Hybrid Extraction Feature