yusuke1997/dblp-id-title huggingface dataset:
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions
Graph Neural Network Guided Music Mashup Generation
Recent Artificial Intelligence Advances in Detection and Diagnosis of Sickle Cell Disease: A review
ChattSpeed: Toward a New Dataset for Single Camera Visual Speed Estimation for Urban Testbeds
Convolutional neural network for clinical narrative categorization
Diagnosis of Neural Network via Backward Deduction
Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation
Natural Language Processing for Extracting Rich Disease Data Aligned To Satellite Meteorological Data
Measuring Bias
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing
Exploiting temporal divergence of topic distributions for event detection
Predicting the Computational Cost of Deep Learning Models
Query revision during cluster based search on large unstructured corpora
Fast Machine Learning in Data Science with a Comprehensive Data Summarization
EMCODIST: A Context-based Search Tool for Email Archives
Using Contextual Text Mining and Ontology Methods to Establish a Novel Technology Trend and Associative Analysis Framework for Sustainable Energy Development in Taiwan
Data Utilization in the Education Field by Local and Central Governments in Japan
Predicting Emotions Perceived from Sounds
V-WorkGen: Virtual Workload Generation Tool for Connected Automotive Services
A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds
TableNN: Deep Learning Framework for Learning Domain Specific Tabular Data
SynthNotes: A Generator Framework for High-volume, High-fidelity Synthetic Mental Health Notes
A robust internet abuse detection method
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations
Decentralized Storage for Scientific Data
DyGCL: Dynamic Graph Contrastive Learning For Event Prediction
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Towards Implementing Responsible AI
Real-Time Assessment of Supercomputer Status by a Comprehensive Informative Metric through Streaming Processing
Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions
A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station
COVID-19 Mobility Restrictions and Post-Pandemic Work from Home
NVMD: Non-volatile memory assisted design for accelerating MapReduce and DAG execution frameworks on HPC systems
Droid-NNet: Deep Learning Neural Network for Android Malware Detection
Angular quantization based affinity propagation clustering and its application to astronomical big spectra data
Parallelizing Bayesian Knowledge Tracing Tool For Large-scale Online Learning Analytics
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Learning and Multi-Objective Optimization for Automatic Identity Linkage
Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media
Machine-learning-based People-flow Simulation for Facility Layout Planning
FinanViz: Visualizing Emerging Topics in Financial News
BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization
Multiresolution analysis of incomplete rankings with applications to prediction
HBGSim: A structural similarity measurement over heterogeneous big graphs
Migration Destination Selection Algorithm for Spot Instances using SPS
Computational performance of heterogeneous ensemble frameworks on high-performance computing platforms
Mining Learner-friendly Security Patterns from Huge Published Histories of Software Applications for an Intelligent Tutoring System in Secure Coding
Session-based Recommendation via Contrastive Learning on Heterogeneous Graph
Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data
Delog: A High-Performance Privacy Preserving Log Filtering Framework
Approximate triangle counting algorithms on multi-cores
Performance evaluation of multiple sports player tracking system based on graph optimization
LATTE: Application Oriented Social Network Embedding
Understanding and optimizing the performance of distributed machine learning applications on apache spark
Collaborative Ranking Tags and Items via Cross-domain Recommendation
Unsupervised Threshold Autoencoder to Analyze and Understand Sentence Elements
Streaming Machine Learning Algorithms with Big Data Systems
On Rank Selection for Nonnegative Matrix Factorization
Estimating Risk-Adjusted Hospital Performance
Adopting Agile Software Development Methodologies in Big Data Projects - a Systematic Literature Review of Experience Reports
Ad allocation with secondary metrics
Self-supervised Hypergraph Representation Learning
A scalable infrastructure of interactive evolutionary computation to evolve services online with data
Distributed wireless sensing for fugitive methane leak detection
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems
Detecting Adversary using Windows Digital Artifacts
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving
Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder
EStore: An effective optimized data placement structure for Hive
LLM-based Hierarchical Label Annotation for Foodborne Illness Detection on Social Media
Predicting Victories in Video Games: Using Single XGBoost with Feature Engineering : IEEE BigData 2021 Cup - Predicting Victories in Video Games
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
A Generalized Outage Prediction Model for Various Types of Extreme Climate Events in Texas
XOS: An Application-Defined Operating System for Datacenter Computing
Big data gathering and mining pipelines for CRM using open-source
Ishikawa, JESS, and Visual Analytics for Engineering
SO(3) Equivariant Framework for Spatial Networks
Constructing E-Tourism platform based on service value broker: A knowledge management perspective
Detecting Group Behavior for Anti-Money Laundering With Incomplete Network Information
Parallel clustering method for non-disjoint partitioning of large-scale data based on spark framework
Recurrent Path Index for Efficient Graph Traversal
Inference of Absolute Time Value from Temporal Expressions
Differentially Private Robust ADMM for Distributed Machine Learning
The Best of Both Worlds: Context-Powered Word Embedding Combinations for Longitudinal Text Analysis
Deep Reinforcement Learning for Bandit Arm Localization
Self-supervised Federated Learning for Anomaly Detection
Practical Cross Program Memoization with KeyChain
Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response
TextScope: Enhance human perception via text mining
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks
A predictive scheduling framework for fast and distributed stream data processing
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance
Blockchain and IoT for Delivery Assurance on Supply Chain (BIDAS)
Efficient Comprehensive Element Identification in Large Scale Spectral Analysis with Interpretable Dimension Reduction
Statistical Methods for Generating Synthetic Email Data Sets
RStream: Simple and Efficient Batch and Stream Processing at Scale
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
Tackling Data Heterogeneity in Federated Learning through Global Density Estimation
Open big data infrastructures to everyone
LLM4cast: Repurposed LLM for Viral Disease Forecasting
Integrating heterogeneous data sources for traffic flow prediction through extreme learning machine
Gender Classification Accuracy via Two-Dimensional Body Joints using Convolutional Neural Networks
Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering
InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries
A Novel Rigorous Measurement Model for Big Data Quality Characteristics
Customer Segmentation Using Mobile Phone Usage Data to Reveal Finance Application User's Behavior
Holistic entity matching across knowledge graphs
Big Data Analytics Using Fuzzy Clustering for Network Security
Impact and Analysis of Long COVID on Cardiovascular Diseases
Using Word2Vec to process big text data
Matching Attacks on Non-deterministic Algorithms for Cell Suppression Problem for Tabular Data
Group Link Prediction
An Approximation Method for Querying Similar Large Graphs
NASEREX: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Discovering interesting patterns in large graph cubes
Pick your choice in HBase: Security or performance
Typograph: Multiscale spatial exploration of text documents
A Quality-Driven Recommender System for IaaS Cloud Services
Identifying trolls and determining terror awareness level in social networks using a scalable framework
On robust truth discovery in sparse social media sensing
AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization
Probabilistic km-anonymity efficient anonymization of large set-valued datasets
Learning to Generate Diverse and Authentic Reviews via an Encoder-Decoder Model with Transformer and GRU
Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model
Pattern Discovery with Utility Occupancy
Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability
A Study of Self-Privacy Violations in Online Public Discourse
Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers
Using Neural Networks for Two Dimensional Scientific Data Compression
Evaluating Actions in Sports Analytics with Deep Learning
HealthTvizer: Exploring Health Awareness in Twitter Data through Coordinated Multiple Views
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing
The relation between firm age distributions and the decay rate of firm activities in the united states and Japan
Examination of data, rule generation and detection of phishing URLs using online logistic regression
Entropic determinants of massive matrices
Performance of Null Handling in Array Databases
SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps
Enhancing Big Data Analysis: A Recursive Window Segmentation Strategy for Multivariate Longitudinal Data
A concept of Generic Workspace for Big Data Processing in Humanities
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models
GNN-Ensemble: Towards Random Decision Graph Neural Networks
Targeted display advertising: the case of preferential attachment
Embedding feature selection for large-scale hierarchical classification
Skeleton decomposition analysis for subspace clustering
Production Machine Learning Frameworks for Geospatial Big Data
Online mining for association rules and collective anomalies in data streams
Protecting Multiple Sensitive Attributes in Synthetic Micro-data
Humanities 'big data': Myths, challenges, and lessons
TDTA: A New Hybrid Framework for Long-term Forecasting of Container Volume
A Technical Perspective of DataCalc - Ad-hoc Analyses on Heterogeneous Data Sources
Automated Road Crack Detection Using Deep Convolutional Neural Networks
The technical hashtag in Twitter data: A hadoop experience
Experimental Analysis and Assessment of a Real-Life Cloud Mobile Big OLAP System Enhanced with Compression and Approximation Paradigms
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory
Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems
Genomic analysis with MapReduce
Darknet Analysis-Based Early Detection Framework for Malware Activity: Issue and Potential Extension
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
A Privacy-Preserving Semi-Decentralized Personalized Recommendation System
ParaGraph: Mapping Wikidata Tail Entities to Wikipedia Paragraphs
Improving Aviation and Flight Safety By Analyzing Surveillance Data
Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment
Development of AI-based Intrusion Detection System with Real-Time Flow Feature Extraction
Developing a Large-Scale Language Model to Unveil and Alleviate Gender and Age Biases in Australian Job Ads
Detecting and Using Buzz from Newspapers to Understand Patterns of Movement
HEER: Heterogeneous graph embedding for emerging relation detection from news
Automated Corn Ear Height Prediction Using Video-Based Deep Learning
LegalOps: A Summarization Corpus of Legal Opinions
Performance Characterization and Modeling of Serverless and HPC Streaming Applications
Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes
Computational provenance: DataONE and implications for cultural heritage institutions
STORE: Data recovery with approximate minimum network bandwidth and disk I/O in distributed storage systems
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
Identification of Important Images for Understanding Web Pages
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets
Performance Characterization of Expert Router for Scalable LLM Inference
Identifying coherent anomalies in multi-scale spatio-temporal data using Markov random fields
Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery
A Survey of Using Process Data and Features of Industrial Control Systems in Intrusion Detection
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data
Computational Curation and the Application of Large-Scale Vocabularies
Semantic Correlations Loss: Improving Model Interpretability for Multi-class Classification
Modelling Wealth from Call Detail Records and Survey Data with Machine Learning: Evidence from Papua New Guinea
Map-based graph analysis on MapReduce
Relationships between Keywords and Strong Beats in Lyrical Music
A summarization paradigm for big data
In Situ Adaptive Spatio-Temporal Data Summarization
Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction
JSocialFact: a Misinformation dataset from Social Media for Benchmarking LLM Safety
An Ontological Knowledge Representation for Smart Agriculture
A Path to Big Data Readiness
Plug and play bench: Simplifying big data benchmarking using containers
Perception detection using Twitter
Predicting the Effects of News Sentiments on the Stock Market
Integrating Machine Learning and Rule-Based Approaches in Symbolic Music Generation
Asynchronous Federated Learning for Sensor Data with Concept Drift
A distributed approach to estimating sea port operational regions from lots of AIS data
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams
Learning Patterns from Imbalanced Evolving Data Streams
Prompt Chaining-Assisted Malware Detection: A Hybrid Approach Utilizing Fine-Tuned LLMs and Domain Knowledge-Enriched Cybersecurity Knowledge Graphs
Big data analytics for demand response: Clustering over space and time
Posteriori Trust: Behavior Driven Trust on a Network Graph at Scale
Application of Machine Learning and Government Finance Statistics for macroeconomic signal mining to analyze recessionary trends and score policy effectiveness
Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching
On Online Hate Speech Detection. Effects of Negated Data Construction
Multiplex graph matching matched filters
Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM
Road Damage Detection and Classification with Detectron2 and Faster R-CNN
Clustered Latent Dirichlet Allocation for Scientific Discovery
Cell Nuclei and Lipid Droplets Quantification in Stimulated Raman Images
Adaptive Hierarchical GHSOM with Federated Learning for Context-Aware Anomaly Detection in IoT Networks
Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding
Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images
A systems approach to big data technology applied to supply chain
EMD-TCN-TimeGAN: A Data Augmentation Model for Enhancing the Accuracy of Agricultural Product Price Prediction
Identification of Critical Infrastructure via PageRank
Dimenslon Estlmatlon of Equlty Markets
HReplica: A Dynamic Data Replication Engine with Adaptive Compression for Multi-Tiered Storage
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants
An Analysis of Relation Extraction within Sentences from Wet Lab Protocols
Scalable Homology Classification through Decomposed Euler Characteristic Curves
Digging into human rights violations: Data modelling and collective memory
A Reflection on Cybersecurity Indigenous Educational Experiences
Tale of Three States: Analysis of Large Person-to-Person Online Financial Transactions in Three Baltic Countries
Into the Reverie: Exploration of the Dream Market
Using hospital administrative data to infer patient-patient contact via the consistent co-presence algorithm
Harnessing the Nature of Spam in Scalable Online Social Spam Detection
IndexAI: AI Based Index Selection for NoSQL Databases
Assessment of Quantum ML Applicability for Climate Actions: Comparison of the Variational Quantum Classifier and the Quantum Support Vector Classifier with Classical ML Models
Geospatial Big Data analytics to model the long-term sustainable transition of residential heating worldwide
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices
Physical Database Design for Manufacturing Business Analytics
Human-controlled iterative subclustering analysis
Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic
Compatibility of efficiency and stability in priority-augmented object allocation problems with weak priorities
Learning from Failures in Large Scale Soft Sensing
An edge-set based large scale graph processing system
Gen 2 Out: Detecting and Ranking Generalized Anomalies
Retrieving Top-N Weighted Spatial k-cliques
A multi-view two-level classification method for generalized multi-instance problems
A differentiation between Image Mining and Computer Vision in the application area of Big Data
TrustMR: Computation integrity assurance system for MapReduce
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words
Multi-scalar analysis of geospatial agricultural data for sustainability
Simulation of Volatility Trading using Nikkei Stock Index Option based on Stock Bulletin Board
Accelerating range queries for large-scale unstructured meshes
A statistical analysis of behavioral bursts occurring in a social networking game
Targeted Mining of Rare High-Utility Patterns
Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail
Rapid Prototyping of Hierarchical Agglomerative Clustering Algorithms for Distributed Systems
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering
Distributed NoSQL Data Stores: Performance Analysis and a Case Study
Understanding the impact of lossy compressions on IoT smart farm analytics
Comparing Semantic and Nutrient Value Similarities of Recipes
A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor Streams
Federated Privacy-Preserving Visualization: A Vision Paper
Deep Learning Approach Towards Squat Isolation in a Multi-Embedded Track Geometry Defects
Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies
Content-based comparison for collections identification
Detection of Trajectory Outliers in Intelligent Transportation Systems
DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection
Estimating Chess Puzzle Difficulty Without Past Game Records Using a Human Problem-Solving Inspired Neural Network Architecture
ATOM: Automated tracking, orchestration and monitoring of resource usage in infrastructure as a service systems
Star inventors and gender gaps in patented innovations
Robust Stochastic Bandit algorithms to defend against Oracle attack using Sample Dropout
Crowd-Aided Anomaly Detection in Surveillance Videos
SecureGBM: Secure Multi-Party Gradient Boosting
Adaptive Ensemble Imputation for Trip Data using Deep Reinforcement Learning (AEI-DRL)
Digital Curation and Machine Learning Experimentation in Archives
Source Free Domain Adaptation Using an Off-the-Shelf Classifier
Topic-Sentiment Analysis of Central Bank Press Conferences: BOJ Case Study
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
Risk identification and default time analysis of corporate bonds
HPTA: High-performance text analytics
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings
Text mining and sentiment extraction in central bank documents
Humans vs. ChatGPT: Evaluating Annotation Methods for Financial Corpora
Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval
Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN
Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information Regularization
Explaining IoT Attacks: An Effective and Efficient Semi-Supervised Learning Framework
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models
Building the Next-Generation Radio Networks Planning Infrastructure using Datacubes
An Analysis of the Dynamics of Ties on Twitter
Rule Discovery from Breast Cancer Risk Factors using Association Rule Mining
Multimodal survival prediction using TabTransformer and BioClinicalBERT on MIMIC-III
Vertical Autoscaling of GPU Resources for Machine Learning in the Cloud
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data
DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors
OrthoNets: Orthogonal Channel Attention Networks
Big data usability text mining of publicly available YouTube electronic health record (EHR) tutorials
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases
IBFRAME: IoT Data Processing Framework for Intelligent Building Management
Using speech characteristics from children's story narratives to detect autistic tendencies through deep learning methods
Cross-national measurement of polarization in political discourse: Analyzing floor debate in the U.S. the Japanese legislatures
An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data
Using Generative Adversarial Networks to Simulate System Calls of Malicious Android Processes
WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree
A Block-Level RNN Model for Resume Block Classification
RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem
The ambiguity of data science team roles and the need for a data science workforce framework
Understanding a moderating effect of physicians' endorsement to online workload: An empirical study in online health-care communities
Efficient data access strategies for Hadoop and Spark on HPC cluster with heterogeneous storage
Attention-based Multi-layer Chinese Word Embedding
OME: Tool for generating and managing metadata to handle BigData
A Data-Driven Approach to Reparative Description at the University of Chicago
Improved methods for static index pruning
Not all software engineers can become good data engineers