yusuke1997/dblp-id-title huggingface dataset:
Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning
Detecting unregistered users through semi-supervised anomaly detection with similarity datasets
Maximizing data quality while ensuring data protection in service-based data pipelines
Cybersecurity vulnerabilities and solutions in Ethiopian university websites
Machine learning based customer churn prediction in home appliance rental business
An intuitionistic fuzzy diagnosis analytics for stroke disease
A method of trend forecasting for financial and geopolitical data: inferring the effects of unknown exogenous variables
OsamorSoft: clustering index for comparison and quality validation in high throughput dataset
Botnet detection using graph-based feature clustering
Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network
Cross-domain graph based similarity measurement of workflows
Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method
An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
Correction to: Arabic text summarization using deep learning approach
A new theoretical understanding of big data analytics capabilities in organizations: a thematic analysis
A survey of methods supporting cyber situational awareness in the context of smart cities
A clustering-based topic model using word networks and word embeddings
A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation
Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forest
Online variational Gaussian process for time series data
Group based emotion recognition from video sequence with hybrid optimization based recurrent fuzzy neural network
Evaluation of the trends in jobs and skill-sets using data analytics: a case study
Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models
Application of natural language processing techniques to network traffic processing for classification using deep learning models
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection
HPCC based framework for COPD readmission risk analysis
A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting
Towards shortest path identification on large networks
Correction: Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics
Feature selection methods and genomic big data: a systematic review
FML-kNN: scalable machine learning on Big Data using k -nearest neighbor joins
Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media
Large language models, social demography, and hegemony: comparing authorship in human and synthetic text
An integrated model for evaluation of big data challenges and analytical methods in recommender systems
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets
Estimating runtime of a job in Hadoop MapReduce
GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications
Towards scalable medical image compression using hybrid model analysis
Leveraging machine learning to proactively identify phishing campaigns before they strike
Data analysis for sequential contingencies under uncertainty
SemLinker: automating big data integration for casual users
Big data analytics: a link between knowledge management capabilities and superior cyber protection
Transfer learning: a friendly introduction
Deep learning for emotion analysis in Arabic tweets
Enhancing the performance of gradient boosting trees on regression problems
The LRA Workbench: an IDE for efficient REST API composition through linked metadata
Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback
Vision-based detection algorithm for monitoring dynamic change of fire progression
Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification
Churn management in hospitality
IoT Big Data provenance scheme using blockchain on Hadoop ecosystem
Data science: developing theoretical contributions in information systems via text analytics
Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases
The evolution of the European football transfer network
Categories for (Big) Data models and optimization
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions
The Hiperwall tiled-display wall system for Big-Data research
A hybrid recommender system based-on link prediction for movie baskets analysis
WalkGCN: a biased sampling strategy for GNNs on non-attributed graphs
Dual channel and multi-scale adaptive morphological methods for infrared small targets
A service-categorized security scheme with physical unclonable functions for internet of vehicles
DroneSilient (drone + resilient): an anti-drone system
Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method
A survey on Image Data Augmentation for Deep Learning
An analysis of COVID-19 economic measures and attitudes: evidence from social media mining
HCudaBLAST: an implementation of BLAST on Hadoop and Cuda
Outlier edge detection using random graph generation models and applications
From chaos to clarity: unraveling credit card fraud with BGVOA-LS
Social network data analysis to highlight privacy threats in sharing data
A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control
Modeling scientometric indicators using a statistical data ontology
SIMER: an accurate and intelligent tool for simulating customizable population data across species in complex scenarios
Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data
Detecting and understanding urban changes through decomposing the numbers of visitors' arrivals using human mobility data
Fuzzy deep learning architecture for cucumber plant disease detection and classification
Joint index vector: a novel assessment measure for stratified medicine in patients with rheumatoid arthritis
Metal commodity futures price forecasting based on a hybrid secondary decomposition error-corrected model
Class center-based firefly algorithm for handling missing data
Limited random walk algorithm for big graph data clustering
Localizing hot spots in Poisson radiation data matrices: nonnegative tensor factorization and phase congruency
Data-aware optimization of bioinformatics workflows in hybrid clouds
Improving prediction with enhanced Distributed Memory-based Resilient Dataset Filter
Detecting Denial of Service attacks using machine learning algorithms
A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise
Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark
An efficient weighted slime mould algorithm for engineering optimization
RBSEP: a reassignment and buffer based streaming edge partitioning approach
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration
A machine learning approach to analyze customer satisfaction from airline tweets
Student academic performance prediction via hypergraph and TabNet
ASENN: attention-based selective embedding neural networks for road distress prediction
A clustering-based approach for classifying data streams using graph matching
A data model for enhanced data comparability across multiple organizations
Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC)
Developing insights from the collective voice of target users in Twitter
Examining the impact of cross-domain learning on crime prediction
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics
Establishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence
Vaccination allocation in large dynamic networks
Comparison of algorithms for the recognition of ChatGPT paraphrased texts
Computational storage: an efficient and scalable platform for big data and HPC applications
Amharic spoken digits recognition using convolutional neural network
A novel intelligent approach for flight delay prediction
A comparison on visual prediction models for MAMO (multi activity-multi object) recognition using deep learning
The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions
Host managed contention avoidance storage solutions for Big Data
Assessing data quality from the Clinical Practice Research Datalink: a methodological approach applied to the full blood count blood test
Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm
How to (better) find a perpetrator in a haystack
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network
Tensor extrapolation: an adaptation to data sets with missing entries
Multi Region-Based Feature Connected Layer (RB-FCL) of deep learning models for bone age assessment
An overview of recent distributed algorithms for learning fuzzy models in Big Data classification
Smt efficiency in supervised ML methods: a throughput and interference analysis
Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review
Detecting taxi movements using Random Swap clustering and sequential pattern mining
A novel community detection based genetic algorithm for feature selection
Separable convolutional neural networks for facial expressions recognition
Detection of fickle trolls in large-scale online social networks
Using topological data analysis and machine learning to predict customer churn
Big data and urban form: a systematic review
Tabular and latent space synthetic data generation: a literature review
Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications
Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries
Machine learning concepts for correlated Big Data privacy
Graphical Flow-based Spark Programming
Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods
An alternative approach to dimension reduction for pareto distributed data: a case study
Mapping and 3D modelling using quadrotor drone and GIS software
Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization
A practical Alzheimer's disease classifier via brain imaging-based deep learning on 85, 721 samples
Classification of SSVEP-based BCIs using Genetic Algorithm
A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty
An algorithm for identification of natural disaster affected area
An assessment of large language models for OpenMP-based code parallelization: a user perspective
A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study
A hybrid machine learning method for increasing the performance of network intrusion detection systems
An AI framework for counterattack detection and decision-making evaluation in football
Adaptive neuro-fuzzy inference system for customizing investment type based on the potential investors' demographics and feedback
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms
Cochran's Q test for analyzing categorical data under uncertainty
Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review
On K-means clustering-based approach for DDBSs design
Social media analysis of car parking behavior using similarity based clustering
Smart literature review: a practical topic modelling approach to exploratory literature review
Big data actionable intelligence architecture
New custom rating for improving recommendation system performance
Unsupervised hyperspectral image segmentation of films: a hierarchical clustering-based approach
Multiple time series database on microservice architecture for IoT-based sleep monitoring system
Using electronic transaction data to add geographic granularity to official estimates of retail sales
A survey on heterogeneous transfer learning
Clustering categorical data based on the relational analysis approach and MapReduce
Time series big data: a survey on data stream frameworks, analysis and algorithms
Quality assurance strategies for machine learning applications in big data analytics: an overview
Multi-method approach to wellness predictive modeling
SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images
Title2Vec: a contextual job title embedding for occupational named entity recognition and other applications
Step away from stepwise
GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series
Smoothing target encoding and class center-based firefly algorithm for handling missing values in categorical variable
Big data in human behavior research: a contextual turn
An intelligent decision-making system integrating knowledge and data for image-based medical diagnosis
Role of big-data in classification and novel class detection in data streams
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
Deep anomaly detection through visual attention in surveillance videos
A distributed architecture for MQTT messaging: the case of TBMQ
Aggregation-based partitioning algorithm for traffic congestion in MapReduce
A secure hybrid deep learning framework for brain tumor detection and classification
DCMS: A data analytics and management system for molecular simulation
KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection
A survey on artificial intelligence assurance
Arabic text summarization using deep learning approach
Conceptualizing Big Social Data
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
Chabok: a Map-Reduce based method to solve data warehouse problems
Optimal instance subset selection from big data using genetic algorithm and open source framework
Towards a smart debt collection system: a Design Science Research approach
Developing a mathematical model of the co-author recommender system using graph mining techniques and big data applications
Toward multi-label sentiment analysis: a transfer learning based approach
Application of deep learning in malware detection: a review
Low-shot learning and class imbalance: a survey
Pairwise document similarity measure based on present term set
Stress detection using natural language processing and machine learning over social interactions
Image captioning model using attention and object features to mimic human image understanding
Towards algorithmic framing analysis: expanding the scope by using LLMs
Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma
Scalable two-phase co-occurring sensitive pattern hiding using MapReduce
Sharing big biomedical data
Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses
Artificial intelligence paradigm for ligand-based virtual screening on the drug discovery of type 2 diabetes mellitus
Internet of Things is a revolutionary approach for future technology enhancement: a review
Interpretable machine learning model to predict the acute occurrence of delirium in elderly patients in the intensive care units: a retrospective cohort study
Horizontally scalable probabilistic generalized suffix tree (PGST) based route prediction using map data and GPS traces
Transforming the generative pretrained transformer into augmented business text writer
Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy
Two-stage credit scoring using Bayesian approach
Privacy preserving data publishing based on sensitivity in context of Big Data using Hive
AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions
Improved sqrt-cosine similarity measurement
Comparison of sort algorithms in Hadoop and PCJ
CLSeq and Nscp: novel methods for reducing hallucinations in text summarization for pre-trained models and LLMs
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Resampling approaches to handle class imbalance: a review from a data perspective
Ulnar variance detection from radiographic images using deep learning
Large-scale distributed L-BFGS
TSim: a system for discovering similar users on Twitter
Comparative analysis of deep learning image detection algorithms
Correction to: A novel adaptable approach for sentiment analysis on big social data
Scalable unsupervised labeling with SHAP feature selection for fraud detection in imbalanced data
From distributed machine to distributed deep learning: a comprehensive survey
Low-level turbulence risk assessment and visualization using temporal rate of change of headwind of an aircraft
eBF: an enhanced Bloom Filter for intrusion detection in IoT
FunDa: scalable serverless data analytics and in situ query processing
Investigating important urban characteristics in the formation of urban heat islands: a machine learning approach
Multimodal text-emoji fusion using deep neural networks for text-based emotion detection in online communication
Predicting tennis match outcomes mid-game using machine learning on psychological and physical data
Cursor movement detection in brain-computer-interface systems using the K-means clustering method and$ 70
Analyzing performance of Apache Tez and MapReduce with hadoop multinode cluster on Amazon cloud
A review of distinct machine learning classifiers for healthcare fraud detection
Exploring high scientific productivity in international co-authorship of a small developing country based on collaboration patterns
IPerFEX-2023: Indonesian personal financial entity extraction using indoBERT-BiGRU-CRF model
Improved cost-sensitive representation of data for solving the imbalanced big data classification problem
Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable
Poisson logit hurdle model with associated factors of perinatal mortality in Ethiopia
Open framework for analyzing public parliaments data
A new dimensionality reduction technique based on the Wavelet Transform for cancer classification
Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix
Alzheimer's disease diagnosis by 3D-SEConvNeXt
HET-VQVAE: a novel encoder-decoder framework for irregularly-sampled multivariate time series of patients
Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
Identifying and characterizing the effects of calendar and environmental conditions on pediatric admissions in Shanghai
Survey of transformers and towards ensemble learning using transformers for natural language processing
Noninvasive identification of Benign and malignant eyelid tumors using clinical images via deep learning system
Identification of distinguishing characteristics of intersections based on statistical analysis and data from video cameras
A problem-agnostic approach to feature selection and analysis using SHAP
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks
Operationalizing and automating Data Governance
Plant disease detection and classification techniques: a comparative study of the performances
A systematic data characteristic understanding framework towards physical-sensor big data challenges
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis
Sentiment analysis of Indonesian datasets based on a hybrid deep-learning strategy
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system
UniqueNOSD: a novel framework for NoSQL over SQL databases
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity
Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection
On combining Big Data and machine learning to support eco-driving behaviours
Big knowledge-based semantic correlation for detecting slow and low-level advanced persistent threats
Data stream clustering by divide and conquer approach based on vector model
A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem
Time-aware domain-based social influence prediction
Mining aspects of customer's review on the social network
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin
Unsupervised feature selection and class labeling for credit card fraud
Social network analysis in Telecom data
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area
Enhancing Byzantine robustness of federated learning via tripartite adaptive authentication
Part of speech tagging: a systematic review of deep learning and machine learning approaches
Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database