yusuke1997/dblp-id-title huggingface dataset:
Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19
BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors
Examining characteristics of predictive models with imbalanced big data
DFA-Net: Dual multi-scale feature aggregation network for vessel segmentation in X-ray digital subtraction angiography
Hyperdimensional computing: a framework for stochastic computation and symbolic AI
Internet of things and ensemble learning-based mental and physical fatigue monitoring for smart construction sites
Improve data classification performance in diagnosing diabetes using the Binary Exchange Market Algorithm
Investigating the relationship between time and predictive model maintenance
A novel feature extraction method based on highly expressed SNPs for tissue-specific gene prediction
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data
Big data stream analysis: a systematic literature review
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis
Human collective emotional excess by novel Gaidai hypersurface risk prognostics methodology
Optimizing group utility in itinerary planning: a strategic and crowd-aware approach
Hypoxia within tumor microenvironment characterizes distinct genomic patterns and aids molecular subtyping for guiding individualized immunotherapy
A systematic review and research perspective on recommender systems
A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA
A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance
The effects of class rarity on the evaluation of supervised healthcare fraud detection models
Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews
CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction
Scalable architecture for Big Data financial analytics: user-defined functions vs. SQL
Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning
Detecting heterogeneity parameters and hybrid models for precision farming
Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems
Improving the accuracy of text classification using stemming method, a case of non-formal Indonesian conversation
A new effective method for labeling dynamic XML data
Green and sustainable AI research: an integrated thematic and topic modeling analysis
Discovering customer segments through interaction behaviors for home appliance business
Analysis of customer reviews with an improved VADER lexicon classifier
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data
Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics
SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information
Automated subway touch button detection using image process
Optimization-based convolutional neural model for the classification of white blood cells
Web crawling based context aware recommender system using optimized deep recurrent neural network
Bayesian hierarchical analyses for entrepreneurial intention of students
SugarcaneNet: an optimized ensemble of LASSO-regularized pre-trained models for accurate sugarcane disease classification
A fuel consumption-based method for developing local-specific CO 2 emission rate database using open-source big data
Artifact-free fat-water separation in Dixon MRI using deep learning
Improved classification of large imbalanced data sets using rationalized technique: Updated Class Purity Maximization Over_Sampling Technique (UCPMOT)
Optimizing poultry audio signal classification with deep learning and burn layer fusion
Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning
Understanding big data themes from scientific biomedical literature through topic modeling
Network intrusion detection using feature fusion with deep learning
Generalized Estimating Equations Boosting (GEEB) machine for correlated data
Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis
A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)
Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots
Multi-feature stock price prediction by LSTM networks based on VMD and TMFG
Mosaicking based optimal threshold image enhancement for violence detection with deep quadratic attention mechanism
Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection
Towards a minimum universal features set for IoT DDoS attack detection
MuSe: a multi-level storage scheme for big RDF data using MapReduce
Unsupervised outlier detection in multidimensional data
Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches
Task-agnostic representation learning of multimodal twitter data for downstream applications
An exploratory content and sentiment analysis of the guardian metaverse articles using leximancer and natural language processing
Quality management architecture for social media data
Extending reference architecture of big data systems towards machine learning in edge computing environments
Comparative analysis of binary and one-class classification techniques for credit card fraud data
Intrusion detection and Big Heterogeneous Data: a Survey
Unlocking the potential of Naive Bayes for spatio temporal classification: a novel approach to feature expansion
Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases
Scenic routing navigation using property valuation
BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images
Four-class emotion classification in virtual reality using pupillometry
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
AraXLNet: pre-trained language model for sentiment analysis of Arabic
HepScope: CNN-based single-cell discrimination of malignant hepatocytes
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
A distributed Content-Based Video Retrieval system for large datasets
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
Exploring AI-driven approaches for unstructured document analysis and future horizons
Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic
Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach
A review of data mining using big data in health informatics
Enhancing credit card fraud detection: highly imbalanced data case
Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach
Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification
An improved deep hashing model for image retrieval with binary code similarities
Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations
A scheduling algorithm to maximize storm throughput in heterogeneous cluster
Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques
Library adoption in public software repositories
Image caption generation using Visual Attention Prediction and Contextual Spatial Relation Extraction
Detecting bots in social-networks using node and structural embeddings
A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election
A systematic literature study of machine learning techniques based intrusion detection: datasets, models, challenges, and future directions
Dataset for unflappable driving: UNFLAPSet
Large-scale forecasting of information spreading
TFBlender: a hybrid time series attention model with data-driven macroeconomic perspectives for ELS Knock-In prediction
Random forest implementation and optimization for Big Data analytics on LexisNexis's high performance computing cluster platform
Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
Opinion mining for national security: techniques, domain applications, challenges and research opportunities
Big data analytics: a survey
Exploring crime patterns in Mexico City
An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems
Modelling shares choice to enter in a portfolio using artificial neural networks (ANN)
Chromatin state distribution of residue-specific histone acetylation in early myoblast differentiation
On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review
Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams
Hate speech detection in the Bengali language: a comprehensive survey
Deep Learning applications for COVID-19
Blockchain meets machine learning: a survey
Exploring investor-business-market interplay for business success prediction
The application of adaptive group LASSO imputation method with missing values in personal income compositional data
Developing a negative speech emotion recognition model for safety systems using deep learning
Machine learning-based interactive dynamic resilience assessment for complex hydropower systems
Uncertainty-driven generation of neutrosophic random variates from the Weibull distribution
Accuracy improvements for cold-start recommendation problem using indirect relations in social networks
Multi-sample ζ-mixup: richer, more realistic synthetic samples from a p-series interpolant
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
Deep learning-based question answering system for intelligent humanoid robot
Real-time cognitive and emotional state tracking in intelligent tutoring systems for enhanced learning outcomes
Uncertainty in big data analytics: survey, opportunities, and challenges
Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier
Sorting big data by revealed preference with application to college ranking
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
Optical electrocardiogram based heart disease prediction using hybrid deep learning
Predictors of outpatients' no-show: big data analytics using apache spark
Big data analytics on social networks for real-time depression detection
Advanced RIME architecture for global optimization and feature selection
A survey on missing data in machine learning
IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Simrec: a similarity measure recommendation system for mixed data clustering algorithms
Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis
Leveraging fine-grained mobile data for churn detection through Essence Random Forest
Deep learning accelerators: a case study with MAESTRO
Sandbox security model for Hadoop file system
A hybrid semantic query expansion approach for Arabic information retrieval
Feasibility analysis of AsterixDB and Spark streaming with Cassandra for stream-based processing
Investigating the effectiveness of one-class and binary classification for fraud detection
Sensor data quality: a systematic review
Potential for the use of large unstructured data resources by public innovation support institutions
A systematic review of AI-enhanced techniques in credit card fraud detection
Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience
Analysis of diabetes mellitus for early prediction using optimal features selection
Comparative analysis of AI techniques in pavement preservation materials: ensemble learning, deep learning, and simplified variance-matching diffusion model based data augmentation
A novel hybrid neural network-based volatility forecasting of agricultural commodity prices: empirical evidence from India
BlueEdge: application design for big data cleaning processing using mobile edge computing environments
Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA)
Introducing the enterprise data marketplace: a platform for democratizing company data
Arabia Felix 2.0: a cross-linguistic Twitter analysis of happiness patterns in the United Arab Emirates
FONDUE - Fine-Tuned Optimization: Nurturing Data Usability & Efficiency
Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Diabetes emergency cases identification based on a statistical predictive model
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm
Big data clustering with varied density based on MapReduce
Optimal Markowitz portfolio using returns forecasted with time series and machine learning models
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
Rs-net: Residual Sharp U-Net architecture for pavement crack segmentation and severity assessment
Reassessing the impact of shared experience in football
Verifying big data topologies by-design : a semi-automated approach
ANN based short-term traffic flow forecasting in undivided two lane highway
Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning
Machine learning approach for predicting production delays: a quarry company case study
Assessing the effects of hyperparameters on knowledge graph embedding quality
Cybersecurity data science: an overview from machine learning perspective
Adaptive multiple imputations of missing values using the class center
Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework
A comparison of machine learning methods for ozone pollution prediction
Model fusion of deep neural networks for anomaly detection
Building efficient fuzzy regression trees for large scale and high dimensional problems
Efficient spatial data partitioning for distributed kNN joins
Designing and evaluating a big data analytics approach for predicting students' success factors
DFRDRL: a dynamic fuzzy routing algorithm based on deep reinforcement learning with guaranteed latency and bandwidth for software-defined networks
Summarizing large text collection using topic modeling and clustering based on MapReduce framework
An ensemble method for estimating the number of clusters in a big data set using multiple random samples
Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences
Optimizing classification efficiency with machine learning techniques for pattern matching
Big Data Analytics in IoT, social media, NLP, and information security: trends, challenges, and applications
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning
Querying knowledge graphs in natural language
Digital social innovation based on Big Data Analytics for health and well-being of society
The non-linear nature of the cost of comprehensibility
Enhancing data discovery with contextual pre-filtering
Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Forecast of complex financial big data using model tree optimized by bilevel evolution strategy
A survey on data storage and placement methodologies for Cloud-Big Data ecosystem
Risk and UCON-based access control model for healthcare big data
A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals
Machine learning-based turbulence-risk prediction method for the safe operation of aircrafts
Time series data analysis under indeterminacy
Air-pollution prediction in smart city, deep learning approach
Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review
Large-scale e-learning recommender system based on Spark and Hadoop
Toward a smart health: big data analytics and IoT for real-time miscarriage prediction
An analytical study of information extraction from unstructured and multidimensional big data
Emergency hospital selection in Peshawar using fractional Diophantine neural network for risky decision-making
Internal dynamics of patent reference networks using the Bray-Curtis dissimilarity measure
VEDAS: an efficient GPU alternative for store and query of large RDF data sets
Selecting critical features for data classification based on machine learning methods
Experimenting sensitivity-based anonymization framework in apache spark
Twitter sentiment analysis using hybrid gated attention recurrent network
Characterizing popularity dynamics of hot topics using micro-blogs spatio-temporal data
Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach
Prediction of ESG compliance using a heterogeneous information network
Traffic flow estimation with data from a video surveillance camera
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting
Privacy preserved incremental record linkage
Effects of hearing difficulty on stroke: retrospective cohort and mendelian randomization studies
Differential privacy: its technological prescriptive using big data
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients
Traffic and road conditions monitoring system using extracted information from Twitter
Data-driven multinomial random forest: a new random forest variant with strong consistency
Cross-domain similarity assessment for workflow improvement to handle Big Data challenge in workflow management
Medicare fraud detection using neural networks
Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups
Machine learning approaches in Covid-19 severity risk prediction in Morocco
Data mining approach for predicting the daily Internet data traffic of a smart university
Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion
Improved RIME algorithm: CEC performance analysis and feature selection experiment of Sino foreign cooperative data sets
Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network
Hypert: hypernymy-aware BERT with Hearst pattern exploitation for hypernym discovery
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters
Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems
Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights
Big Data architecture for intelligent maintenance: a focus on query processing and machine learning algorithms
A MapReduce-based Adjoint method for preventing brain disease
Traditional food knowledge of Indonesia: a new high-quality food dataset and automatic recognition system
Correlation-based outlier detection for ships' in-service datasets
Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning
Choosing the right NoSQL database for the job: a quality attribute evaluation
Evaluating classifier performance with highly imbalanced Big Data
Advanced ANN regularization-based algorithm for prediction of the fundamental period of masonry infilled RC frames
Enhancing oil palm segmentation model with GAN-based augmentation
Advancing stock price prediction through the development of hybrid ensembles: a comprehensive comparative analysis of machine learning approaches
Deep learning for component fault detection in electricity transmission lines
Correction: Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches
Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures
Helformer: an attention-based deep learning model for cryptocurrency price forecasting
Lifelong Machine Learning and root cause analysis for large-scale cancer patient data
Algorithm profiling for architectures with dataflow accelerators
In-TFK: a scalable traditional food knowledge platform, a new traditional food dataset, platform, and multiprocess inference service
RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares
COA_DNN: a hybrid crayfish optimization with deep neural network for detection of rapid eye movement behaviour disorder
An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study
Enhancing correlated big data privacy using differential privacy and machine learning
Network intrusion detection using data dimensions reduction techniques
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach
On the development of an information system for monitoring user opinion and its role for the public
Understanding the development trends of big data technologies: an analysis of patents and the cited scholarly works
Tri-Algo guardian ensemble approach for fake news detection in social media
DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing
Deep learning applications and challenges in big data analytics
Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data
Modified centroid triplet loss for person re-identification
A deep learning-based adaptive cyber disaster management framework
Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling
Predicting referendum results in the Big Data Era
Reaping the benefits of big data in telecom
From big data to smart data: a sample gradient descent approach for machine learning
Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease
Big data in manufacturing: a systematic mapping study
Scaling associative classification for very large datasets
The power of big data mining to improve the health care system in the United Arab Emirates
Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops
Modelling customers credit card behaviour using bidirectional LSTM neural networks