yusuke1997/dblp-id-title huggingface dataset:
Multilevel Active Storage for big data applications in high performance computing
Machine Learning Assisted Troubleshooting Flows
Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis
Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data
Polypheny-DB: Towards a Distributed and Self-Adaptive Polystore
Semi-supervised learning and social media text analysis towards multi-labeling categorization
SmartFund: Predicting Research Outcomes with Machine Learning and Natural Language Processing
Improving Energy Consumption Forecasting with Contextual Awareness: A Hybrid Deep Learning Perspective
A scalable and composable map-reduce system
Facilitating Twitter data analytics: Platform, language and functionality
MHT: A light-weight scalable zero-hop MPI enabled distributed key-value store
Distributed algorithms for k-truss decomposition
Efficient Point-to-Subspace ANNS in Manhattan and Lp Space by LSH Pruning
Segmentation and Recognition of Eating Gestures from Wrist Motion using Deep Learning
Statistical technique for online anomaly detection using Spark over heterogeneous data from multi-source VMware performance data
Learning with Missing Data
Parallel Training via Computation Graph Transformation
One-Pass Sparsified Gaussian Mixtures
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines
Privacy-preserving Top-k Dominating Queries in Distributed Multi-party Databases
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus
Volenti non fit injuria: Ransomware and its Victims
Evaluating Federated Dino's performance on the segmentation task across diverse domains
Do Bitcoin Users Really Care About Anonymity? An Analysis of the Bitcoin Transaction Graph
An Approach for Scale Suspicious Network Events Detection
Using Collaborative Open Science to Advance K-12 Computing Education
Dividing and Merging for Imbalanced Long-Tail Datasets
Scalable k-NN based text clustering
Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent
Facilitating the HPC Data Center Host efficiency through Big Data Analytics
Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention
Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks
Augmentation of Body-in-White Dimensional Quality Systems through Artificial Intelligence
On Vessel Schedule Delay and Its Recoveries in Liner Services Using AIS Data
Visions of Violence : Threatful Communication in Incel Communities
Efficiency in a College Admission Experiment: A Preliminary Simulation with Cognitive Ability Scores
Nowcasting with social media data
Large-scale restricted boltzmann machines on single GPU
Towards AIOps in Edge Computing Environments
Automated workload-aware elasticity of NoSQL clusters in the cloud
A comparative study of matrix factorization and random walk with restart in recommender systems
Evaluating the alleviation of traffic congestion through Bus Rapid Transit using Multi-Agent Simulation
Discovering High Demanding Bus Routes Using Farecard Data
Semantic Dietary Personalization for Chronic Disease Management
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
Forecasting Nutrient Flows using Terrain Elevation-aware Spatial-Temporal Graph Neural Networks
Unsupervised deep embedding for novel class detection over data stream
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review
Structuring Time Series Data to Gain Insight into Agent Behaviour
Thermal Imagery Based Instance Segmentation for Energy Audit Applications in Buildings
An Ensemble Learning Approach with Multi-depth Attention Mechanism for Road Damage Detection
Is it Fine to Tune? Evaluating SentenceBERT Fine-tuning for Brazilian Portuguese Text Stream Classification
Task Unloading Algorithm for Mobile Edge Computing based on graph neural network
NetDyna: Mining Networked Coevolving Time Series with Missing Values
How can we collect satisfactory answers in art appreciation experiment?
Duplicate drug discovery using Hadoop
A Parallel Framework for Streaming Graphs Computing
A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics
Online Forecasting Based Anomaly Detection For Monitoring Large Scale Streaming Data
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium
Similarity hashing for charged particle tracking
Exploring Bias in the US Electoral College System via Big-Data Simulation
Federated Wireless Network Intrusion Detection
Weather data analysis and sensor fault detection using an extended IoT framework with semantics, big data, and machine learning
Data context informed data wrangling
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Shape Analysis
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources
Energy BigData platform for residential heat information
Big data storage technologies: a case study for web-based LiDAR visualization
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning
Cellular network configuration via online learning and joint optimization
Detecting Highly Overlapping Community Structure by Model-based Maximal Clique Expansion
Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering
Contaminant removal for Android malware detection systems
ADMM based scalable machine learning on Spark
ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification
Connecting the dots: Triangle completion and related problems on large data sets using GPUs
Optimizing Diverse Information Exposure in Social Graphs
Towards Modelling Insiders Behaviour as Rare Behaviour to Detect Malicious RDBMS Access
Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme
Neural reputation models learned from passive DNS data
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning
Manufacturing and contract service networks: Composition, optimization and tradeoff analysis based on a reusable repository of performance models
Stochastic Adaptive Line Search for Differentially Private Optimization
Dimensional scalability of supervised and unsupervised concept drift detection: An empirical study
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis
Scaling Deep Learning Models for Large Spatial Time-Series Forecasting
Enhancing Itemset Tree Rules and Performance
Massive parallelism for non-linear and non-stationary data analysis with GPGPU
Cost-Aware Influence Maximization in Multi-Attribute Networks
Parallel Large-Scale Neural Network Training For Online Advertising
Using CNN-LSTM Model for Weather Forecasting
Privacy Preserving Federated Learning for Advanced Scientific Ecosystems
Adversarial Data-Augmented Resilient Intrusion Detection System for Unmanned Aerial Vehicles
From Spatial-Temporal Cluster Relationships to Lifecycles: Framework and Mobility Applications
Towards development of spark based agricultural information system including geo-spatial data
Knowledge Transfer Predictive Models for Power Outage Caused by Various Types of Extreme Weather Events
Minimum density hyperplanes in the feature space
Toward Improved Knowledge Retention: A Template for Describing Data Science Projects
Collective Tensor Completion with Multiple Heterogeneous Side Information
Uncovering the evolution history of data lakes
LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management
Ethical Issues in Automatic Dialogue Generation for Non-Player Characters in Digital Games
From assets to stories via the Google Cultural Institute Platform
Fast detection of material deformation through structural dissimilarity
Mixed-initiative social media analytics at the World Bank: Observations of citizen sentiment in Twitter data to explore "trust" of political actors and state institutions and its relationship to social protest
GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting
AccountableMR: Toward accountable MapReduce systems
Privacy in IoT Blockchains: with Big Data comes Big Responsibility
SELIS BDA: Big Data Analytics for the Logistics Domain
Using pattern-models to guide SSD deployment for Big Data applications in HPC systems
Clean-label Poisoning Attack against Fake News Detection Models
Microdata analysis of the accommodation survey in Japanese tourism statistics
A Novel Pipeline for Virus Integration Sites Detection in Tumor Genomes Using Deep Learning
Mining frequent temporal patterns from medical data based on fuzzy ranged relations
Parallel matrix factorization for binary response
OverSketch: Approximate Matrix Multiplication for the Cloud
Scotty: Fast a priori Structure-based Extraction from Time Series
Data Science Failure: A Literature Review
Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models
Energy efficient stochastic-based deep spiking neural networks for sparse datasets
A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction
Resale-proof Trades of Data under Budget Constraints: A Subject Experiment
Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams
SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data
Towards Edge-Cloud Computing
MOtion Human Parsing: A New Benchmark for 3D Human Parsing
Deep Sentence Denoising beyond Grammatical Error Correction
An approach for extracting big micro-scale severe weather region trajectories automatically from meteorological radar data
Application of Comprehensive Data Analysis for Interactive, Hierarchical Views of HPC Workloads
Improve Cross-Domain Face Recognition with IBN-block
Interpreting and understanding the image using deep learning and imprecise information from the monitoring system
Data Workbench For Earth and Atmospheric Science Research Community
A Novel Approach to Parallel Anomaly Detection: Application in Cybersecurity
Spatiotemporal Interpolation of Ungauged River Discharge via Deep Kernel Learning
Restaurant Sales Forecasting with Feature Interaction-learning Mechanism-based Neural Network Model
Fuzzy-Based Conversational Recommender for Data-intensive Science Gateway Applications
Efficient large graph pattern mining for big data in the cloud
Line detection in binary document scans: A case study with the international tracing service archives
Big data and smat city planning: The case of Owl Bus in Seoul
General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0
A cross-job framework for MapReduce scheduling
On Large-Scale Matrix-Matrix Multiplication On Compressed Structures
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery
SVP: Enhancing Security and Scalability for Metaverse Blockchain Through Integrating Stake in Voting-based Consensus Protocol
Automated Cyber Threat Intelligence Generation on Multi-Host Network Incidents
Light-weight parallel Python tools for earth system modeling workflows
Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction
Building dynamic thermal profiles of energy consumption for individuals and neighborhoods
Multiple Statistics: Marking Significance
Agentic Large Language Models for Generating Large-Scale Urban Daily Activity Patterns
Prediction of Plasma Discharge Video by Convolutional Long Short-Term Memory
Automated big security text pruning and classification
An Automatic Sleep Arousal Detection Method by Enhancing U-Net with Spatial-channel Attention
Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks
Memory system characterization of big data workloads
Workload Prediction for Adaptive Approximate Query Processing
Implementing a Domain-Independent Framework to Detect Suspicious Review Patterns
Finding Overlapping Clusters in a Highly Connected Graph from a Given Difference Density
WordPrep: Word-based Preposition Prediction Tool
Mining social media for disaster management: Leveraging social media data for community recovery
Exploring Real-Time Model Augmentation and Pretraining for Optimized Road Damage Detection
Blockchain method for preventing fake image publication
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms
Towards Personalized Hybrid Recommender System using Average Visit Intervals
Identifying FinTech Innovations Using BERT
Overcoming misattribution to understand open data reuse in smart cities
Big data problems on discovering and analyzing causal relationships in epidemiological data
Forecasting with Multiple Seasonality
Swin-TCNet: A vision transformer-based method for automated chromosomal object detection
General Domain Adaptation Through Proportional Progressive Pseudo Labeling
SigCO: Mining significant correlations via a distributed real-time computation engine
A Framework for Cyber Threat Intelligence Extraction from Raw Log Data
Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies for Grade Prediction
Sparse Block Regression (SBR) for Big Data with Categorical Variables
OD-network-based Pedestrian-path Prediction for People-flow Simulation
Hourglass: A library for incremental processing on Hadoop
Human-in-the-loop Approach towards Dual Process AI Decisions
IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images
Extracting Grammatical Error Corrections from Wikipedia Revision History
A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity
Topic-Based Search: Dataset Search without Metadata and Users' Knowledge about Data
Integrating Flow and Structure in Diagrams for Data Science
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning
Impact of Trajectory Segmentation on Discovering Trajectory Sequential Patterns
A Comparative Analysis of Large-scale Network Visualization Tools
A Formal Methodology for Notational Analysis and Real-Time Decision Support in Sport Environment
Key based Deep Data Locality on Hadoop
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics
Transferable Sequential Recommendation via Vector Quantized Meta Learning
Mining incomplete data with many attribute-concept values and "do not care" conditions
A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections
A Bayesian predictor of airline class seats based on multinomial event model
A 2-Stage Model for Vehicle Class and Orientation Detection with Photo-Realistic Image Generation
Federated Multi-task Learning in Distributed Networks
Transformer-based LLMs in Cybersecurity: An in-depth Study on Log Anomaly Detection and Conversational Defense Mechanisms
Large-scale distributed sorting for GPU-based heterogeneous supercomputers
A Subspace Pre-learning Approach to Fast High-Accuracy Machine Learning of Large XOR PUFs with Component-Differential Challenges
Characterizing and accelerating indexing techniques on distributed ordered tables
DISCERN for Generalizable Robotic Contexts
Human-in-the-loop applied machine learning
Hierarchical Graph Convolutional Network for Data Evaluation of Dynamic Graphs
Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning Approach
Novel anomaly detection and classification schemes for Machine-to-Machine uplink
PRECEDE: Climate and Energy Forecasts to Support Energy Communities with Deep Learning Models
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models
Analysis of Hand-drawn Maps of Places in Natural Disaster Pictures
How biased are American media outlets? A framework for presentation bias regression
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway
RPS: A Generic Reservoir Patterns Sampler
MLOps in Data Science Projects: A Review
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach
A Set of Effective Strategies for Optimized Road Damage Detection
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding
SASTDGCN: Self-Attention Based Spatial-Temporal Double Graph Convolutional Networks for Traffic Flow Forecasting
Online multi-view clustering with incomplete views
Big data analytics on HPC architectures: Performance and cost
World grid square codes: Definition and an example of world grid square data
Complementary Attention-Based Deep Learning Detection of Fake Faces
An Analysis of Combined Data Augmentation in Time Series Prediction Tasks Using Discrete Wavelet Multilevel Decomposition
Evaluating NoSQL Systems for Decision Support: An Experimental Approach
Transactional Knowledge Graph Generation To Model Adversarial Activities
Anonymizing Periodical Releases of SRS Data by Fusing Differential Privacy
Dynamic Stop-Loss Approach for Short Term Trades using Deep Learning
Dynamic pre-training of Deep Recurrent Neural Networks for predicting environmental monitoring data
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window
Efficient Record Linkage in Data Streams
Data deidentification in medical transcriptions using regular expressions and machine learning
DistSD: Distance-based social discovery with personalized posterior screening
Higher-order Structure Based Anomaly Detection on Attributed Networks
Collaborating for Change? Assessing Metadata Inclusivity in Digital Collections with Large Language Models (LLMs)
The Impact of Weather Conditions on Renewable Energy Production: A Machine Learning Approach
Private Synthetic Data Generation for Mixed Type Datasets
Generating Topic-Preserving Synthetic News
Volatility matrix inference in high-frequency finance with regularization and efficient computations
Domain-Aware LLM Routing During Generation
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data
Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
Elastic management of cloud applications using adaptive reinforcement learning
Improving floating point compression through binary masks
Towards Automatic Data Cleansing and Classification of Valid Historical Data An Incremental Approach Based on MDD
Estimation of parameters for the free-form machining with deep neural network
Emotion Recognition on StackOverflow Posts Using BERT
A Statistics-based Feature Generation (SFG) Method: Theory and Applications
QuPARA: Query-driven large-scale portfolio aggregate risk analysis on MapReduce
A New Prediction Algorithm Based on Local Neighbor Closeness and Influence of Node
Pattern-enhanced Named Entity Recognition with Distant Supervision
Tor traffic analysis and detection via machine learning techniques
Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks
Training in Computational Archival Science: Do CAS Educational Frameworks meet Professional Expectations?
Regional Analysis of Death Rate due to Air Pollution in Turkey and its Neighbors
Analogous Analogues: Digital Twins and Hardware Tracking in GLAM Collections
Large Scale Time Series Analysis for Infrastructure Reliability
Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning
An Information Reliability Framework for Detecting Misinformation based on Large Language Models
The Bidirectional Relationship between Emotional Change and Physical Movement Activities: An Analysis Using Propensity Score Matching Methods
Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure
Exploring a standardized language for describing foods using embedding techniques
Knowledge and Situation-Aware Vehicle Traffic Forecasting
Session Expert: a Lightweight Conference Session Recommender System
Managing and Composing Teams in Data Science: An Empirical Study
Predicting rare failure events using classification trees on large scale manufacturing data with complex interactions
A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing
A Data-driven Human Responsibility Management System
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity
Event segmentation using MapReduce based big data clustering
DataCommons
Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study
Leveraging Structured and Unstructured Data for Tabular Data Cleaning
A neural network meta-model and its application for manufacturing
Impact of Map-Reduce framework on Hadoop and Spark MR Application Performance
A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases
MAGE: Matching approximate patterns in richly-attributed graphs
Optimizing Energy Consumed by Analytics in the Cloud
Visualization for Quality Healthcare: Patient Flow Exploration
3D Reconstruction of Plant Leaves for High-Throughput Phenotyping
Uncovering and Understanding Smart TV Users' Picture Quality Preferences via Big Data Analytics
Big data framework interference in restricted private cloud settings
Using AI/Machine Learning to Extract Data from Japanese American Confinement Records
CPU Usage Trends in Android Applications
A LSTM-based method for stock returns prediction: A case study of China stock market
AxPUE: Application level metrics for power usage effectiveness in data centers
Practical Range Counting over Data Streams
Stream data clustering for engineering applications a use case of autonomous guided vehicles
Effective and Lightweight Surface Defect Detection via Enhanced Deep Learning Models
River segmentation for flood monitoring
Word Archipelagoes for Explaining Contextual Shifts in Sequential Actions and Events
EFFGAN: Ensembles of fine-tuned federated GANs
General Concepts in Swarm of Drones Control: Analysis and Implementation
A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling
Multi-task Deep Reinforcement Learning for Scalable Parallel Task Scheduling
Scheduling in the Presence of Data Intensive Compute Jobs
An architecture for stream OLAP exploiting SPE and OLAP engine
Analysis and prediction of Ε-customers' behavior by mining clickstream data
Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical Coordinates
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization
Document Information Assisted Event Trigger Detection
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data
Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion
Comparing application performance on HPC-based Hadoop platforms with local storage and dedicated storage
IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance
An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital Twins
Accelerating Multilingual Applications with In-memory Array Sharing
Open Set Domain Adaptation by Extreme Value Theory
Event-based non-parametric clustering of team sport trajectories
Systematic MDS Array Codes Correcting a Single Criss-Cross Error with Lower Update Complexity
Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning
DBRepo: A Data Repository System for Research Data in Databases
Graph Compression Networks
A deep learning model for air quality prediction in smart cities
Passive Smartphone Contact Tracing and Continuous COVID-19 Infection Risk Assessment