yusuke1997/dblp-id-title huggingface dataset:
Dynamic adaptive guided IVY Algorithm with search-hide mechanism for feature selection in human activity recognition for IoHT applications
Oscillation of tweet sentiments in the election of João Doria Jr. for Mayor
Social media text analytics of Malayalam-English code-mixed using deep learning
Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation
On data efficiency of univariate time series anomaly detection models
Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure
A toolbox for volleyball data analytics: a case study on the italian women's league
Big data insight on global mobility during the Covid-19 pandemic lockdown
An approach to application-layer DoS detection
Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks
Artificial intelligence and classical statistical models for time series forecasting: a comprehensive review
An early and accurate diagnosis and detection of the coronary heart disease using deep learning and machine learning algorithms
Decentralized big data mining: federated learning for clustering youth tobacco use in India
The evolution of Big Data in neuroscience and neurology
A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing
Correction: Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts
DHPV: a distributed algorithm for large-scale graph partitioning
A survey on data-efficient algorithms in big data era
Big Data: Deep Learning for financial sentiment analysis
Exploration of the investment patterns of potential retail banking customers using two-stage cluster analysis
The use of Big Data Analytics in healthcare
The use of knowledge extraction in predicting customer churn in B2B
Big healthcare data: preserving security and privacy
Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques
Aspect-level sentiment classification with fused local and global context
Anomaly detection optimization using big data and deep learning to reduce false-positive
Context pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods
Development of a flexible self-calculation scoring model to determine stroke occurrence
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows
Seasonal short-term photovoltaic power prediction based on GSK-BiGRU-XGboost considering correlation of meteorological factors
HybSMRP: a hybrid scheduling algorithm in Hadoop MapReduce framework
Selection of top-K influential users based on radius-neighborhood degree, multi-hops distance and selection threshold
Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms
Who is behind the wheel? Driver identification and fingerprinting
A systematic literature review of neuroimaging coupled with machine learning approaches for diagnosis of attention deficit hyperactivity disorder
Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data
Long-term survival prediction in patients with acute brain lesions using ensemble machine learning algorithms: a cohort study with combined national health insurance service and its self-run hospital database
Evaluating techniques from low-shot learning on traditional imbalanced classification tasks
The impact of colleges and hospitals to local real estate markets
A comprehensive evaluation of ensemble learning for stock-market prediction
An approach to automatic classification of hate speech in sports domain on social media
Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography
A survey of graph convolutional networks (GCNs) in FPGA-based accelerators
AI-driven knowledge-data graph for tracking global arbovirus research
The method for approximate continuous Skyline query based on privacy protection in road network
Ontology boosted deep learning for disease name extraction from Twitter messages
Classification of mastoid air cells by CT scan images using deep learning method
Privacy preservation techniques in big data analytics: a survey
IoT information theft prediction using ensemble feature selection
A novel approach for big data processing using message passing interface based on memory mapping
Application of deep learning technique in next generation sequence experiments
Error and optimism bias regularization
Artificial intelligence advances for cashew fruit maturity and quality detection: a systematic review on models, sensors, and farming applications
Big data, Big bang?
Deep features fusion for KCF-based moving object tracking
SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection
Big data analysis and distributed deep learning for next-generation intrusion detection system optimization
Knowledge discovery from a more than a decade studies on healthcare Big Data systems: a scientometrics study
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study
Out-of-distribution- and location-aware PointNets for real-time 3D road user detection without a GPU
Development of a regional voice dataset and speaker classification based on machine learning
Big data quality framework: a holistic approach to continuous quality management
Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation
A novel adaptable approach for sentiment analysis on big social data
Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective
Survey on terminology extraction from texts
Education on quality assurance and assessment in teaching quality of high school instructors
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets
A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector
Tc-llama 2: fine-tuning LLM for technology and commercialization applications
Erratum to: Structural and functional analytics for community detection in large-scale complex networks
Regularized Simple Graph Convolution (SGC) for improved interpretability of large datasets
Adaptive memory-based single distribution resampling for particle filter
Integration of feature enhancement technique in Google inception network for breast cancer detection and classification
Emotion analysis of Arabic tweets using deep learning approach
Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques
Defining the execution semantics of stream processing engines
Current landscape and influence of big data on finance
The run test for two samples in the presence of uncertainty
A machine learning based credit card fraud detection using the GA algorithm for feature selection
Click-through rate prediction model integrating user interest and multi-head attention mechanism
Analyzing key users' behavior trends in volunteer-based networks
Resolving intravoxel white matter structures in the human brain using regularized regression and clustering
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study
Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients
Exploring the form of big data products and the supporting systems
DENCAST: distributed density-based clustering for multi-target regression
Discovery of crime event sequences with constricted spatio-temporal sequential patterns
Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients
Multi-criteria collaborative filtering recommender by fusing deep neural network and matrix factorization
Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants
The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon
A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem
Feature visualization in comic artist classification using deep neural networks
Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods
Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia
Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set
Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning
Design, development and performance analysis of cognitive assisting aid with multi sensor fused navigation for visually impaired people
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture
Structural and functional analytics for community detection in large-scale complex networks
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks
StreamAligner: a streaming based sequence aligner on Apache Spark
Supervised machine learning predictive analytics for alumni income
Airline new customer tier level forecasting for real-time resource allocation of a miles program
Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network
A real-time predicting online tool for detection of people's emotions from Arabic tweets based on big data platforms
Cabinet Tree: an orthogonal enclosure approach to visualizing and exploring big data
Large scale analysis of violent death count in daily newspapers to quantify bias and censorship
Pre-trained transformer-based language models for Sundanese
Geographical visualization of tweets, misinformation, and extremism during the USA 2020 presidential election using LSTM, NLP, and GIS
Bayesian count regression analysis for determinants of antenatal care service visits among pregnant women in Amhara regional state, Ethiopia
Expanded graph embedding for joint network alignment and link prediction
LSM tree read-deletion operations optimization through the implementation of cuckoo filters
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends
A survey on generative adversarial networks for imbalance problems in computer vision tasks
An accuracy-privacy optimization framework considering user's privacy requirements for data stream mining
Kolmogorov-Arnold networks guided whale optimization algorithm for feature selection in medical datasets
Fast cluster-based computation of exact betweenness centrality in large graphs
Synthesizing class labels for highly imbalanced credit card fraud detection data
Bibliometric mining of research directions and trends for big data
Advancing community detection using Keyword Attribute Search
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques
The performance of BERT as data representation of text clustering
Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs
A new feature popularity framework for detecting cyberattacks using popular features
Machine learning-based identification of patients with a cardiovascular defect
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis
Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents
Argument annotation and analysis using deep learning with attention mechanism in Bahasa Indonesia
A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features
Computer aided technology based on graph sample and aggregate attention network optimized for soccer teaching and training
Intrusion detection model using machine learning algorithm on Big Data environment
An unsupervised method for social network spammer detection based on user information interests
Performance testing on Transparent Data Encryption for SQL Server's reliability and efficiency
The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight
Electronic nose and machine learning for modern meat inspection
MAFSIDS: a reinforcement learning-based intrusion detection model for multi-agent feature selection networks
Towards a folksonomy graph-based context-aware recommender system of annotated books
Digital twins in healthcare: a review of AI-powered practical applications across health domains
CaReAl: capturing read alignments in a BAM file rapidly and conveniently
Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods
CCNNet: a novel lightweight convolutional neural network and its application in traditional Chinese medicine recognition
Array databases: concepts, standards, implementations
A robust machine learning approach to SDG data segmentation
A comprehensive survey of anomaly detection techniques for high dimensional big data
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Big data resolving using Apache Spark for load forecasting and demand response in smart grid: a case study of Low Carbon London Project
Identification of top-K influential communities in big networks
Transformer enabled multi-modal medical diagnosis for tuberculosis classification
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms
CMMamba: channel mixing Mamba for time series forecasting
Cumulative deviation of a subpopulation from the full population
Identifying influential nodes in weighted complex networks by considering the importance of shortest paths
Real-time spatio-temporal event detection on geotagged social media
Detecting cybersecurity attacks across different network features and learners
Algorithm for generating neutrosophic data using accept-reject method
Enhancing academic performance prediction with temporal graph networks for massive open online courses
Resampling imbalanced data for network intrusion detection datasets
The Standard Deviation Score: a novel similarity metric for data analysis
Research on multiple enhanced k combination reverse Skyline query method
Online listing data and their interaction with market dynamics: evidence from Singapore during COVID-19
Real-time event detection in social media streams through semantic analysis of noisy terms
A data value metric for quantifying information content and utility
PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles
Contrastive self-supervised representation learning framework for metal surface defect detection
Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis
A novel approach to automating unsupervised estimation of class distribution
Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach
A survey of open source tools for machine learning with big data in the Hadoop ecosystem
A comprehensive review of LLM applications for lung cancer diagnosis and treatment: classification, challenges, and future directions
PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data
Big data decision tree for continuous-valued attributes based on unbalanced cut points
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset
A unified representation and transformation of multi-model data using category theory
A GDPR-compliant solution for analysis of large-scale genomics datasets on HPC cloud infrastructure
Big social data as a service (BSDaaS): a service composition framework for social media analysis
Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach
The adaptive community-response (ACR) method for collecting misinformation on social media
Fast agglomerative clustering using approximate traveling salesman solutions
Correction to: Cooperative co‑evolution for feature selection in Big Data with random feature grouping
Blind Federated Learning without initial model
Efficiency of random swap clustering
Job recommender systems: a systematic literature review, applications, open issues, and challenges
Prognostic stratification based on HIF-1α signaling for evaluating hypoxia status and immune landscape in hepatocellular carcinoma
Topic discovery and future trend forecasting for texts
Using real-time online preprocessed mouse tracking for lower storage and transmission costs
A survey of transfer learning
Deep-Eware: spatio-temporal social event detection using a hybrid learning model
Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Flight delay prediction based on deep learning and Levenberg-Marquart algorithm
Value-at-risk student prescription trees for price personalization
The MapReduce-based approach to improve the shortest path computation in large-scale road networks: the case of A* algorithm
The impact of ensemble learning on surgical tools classification during laparoscopic cholecystectomy
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data
Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark
Predicting LQ45 financial sector indices using RNN-LSTM
Comprehensive review of federated learning challenges: a data preparation viewpoint
Remote patient monitoring and classifying using the internet of things platform combined with cloud computing
Enhanced Secured Map Reduce layer for Big Data privacy and security
Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning
Mining and visualising contradictory data
Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations
Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis
A twin CNN-based framework for optimized rice leaf disease classification with feature fusion
Modelling big data platforms as knowledge graphs: the data platform shaper
Assessing survival time of heart failure patients: using Bayesian approach
A novel algorithm for fast and scalable subspace clustering of high-dimensional data
Automatic identification and classification of pediatric glomerulonephritis on ultrasound images based on deep learning and radiomics
Analysis of Graeco-Latin square designs in the presence of uncertain data
Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS
The ubiquitous self-organizing map for non-stationary data streams
Comparing traditional news and social media with stock price movements; which comes first, the news or the price change?
Enhancing argumentation component classification using contextual language model
An ensemble machine learning model for predicting one-year mortality in elderly coronary heart disease patients with anemia
A method for extracting travel patterns using data polishing
Optimized relativity search: node reduction in personalized page rank estimation for large graphs
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion
Exploring the applicability of low-shot learning in mining software repositories
PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads
A novel framework to analyze road accident time series data
Evolutionary computation-based self-supervised learning for image processing: a big data-driven approach to feature extraction and fusion for multispectral object detection
Correction to: Multi-criteria collaborative filtering recommender by fusing deep neural network and matrix factorization
Improving lookup and query execution performance in distributed Big Data systems using Cuckoo Filter
SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis
Exploring the state of the art in legal QA systems
A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions
Self-adaptive analytical querying over schemaless data streams
Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques
A novel time efficient learning-based approach for smart intrusion detection system
Enhancing fraud detection in imbalanced motor insurance datasets using CP-SMOTE and Random Under-Sampling
A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights
An ensemble approach to stabilize the features for multi-domain sentiment analysis using supervised machine learning
A new framework to assess the impact of new IT-based technologies on the success of quality management system
Breast cancer prediction using gated attentive multimodal deep learning
Cyber risk prediction through social media big data analytics and statistical machine learning
Survey on clinical prediction models for diabetes prediction
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results
Exploring and cleaning big data with random sample data blocks
Evaluation of high-level query languages based on MapReduce in Big Data
Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning
Big data analytics in healthcare: current practices, innovations, and future prospects
15 years of Big Data: a systematic literature review
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN
Data provider research overview from a public management perspective: a bibliometric analysis utilizing CiteSpace
TreeNet analysis of human stress behavior using socio-mobile data
Simulating imprecise data: sine-cosine and convolution methods with neutrosophic normal distribution
iiHadoop: an asynchronous distributed framework for incremental iterative computations
Toward building RDB to HBase conversion rules
Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model
Polytope: an algorithm for efficient feature extraction on hypercubes
Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand
Overview of leakage scenarios in supervised machine learning
A novel approach for detecting deep fake videos using graph neural network
Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model
Multiclass emotion prediction using heart rate and virtual reality stimuli