yusuke1997/dblp-id-title huggingface dataset:
Improving the performance of support-vector machine by selecting the best features by Gray Wolf algorithm to increase the accuracy of diagnosis of breast cancer
Mining and prioritization of association rules for big data: multi-criteria decision analysis approach
A scalable association rule learning heuristic for large datasets
Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics
Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting
Automatic LIDAR building segmentation based on DGCNN and euclidean clustering
A BERTweet-based design for monitoring behaviour change based on five doors theory on coral bleaching campaign
A novel sensitivity-based method for feature selection
A predictive noise correction methodology for manufacturing process datasets
Fitcam: detecting and counting repetitive exercises with deep learning
$\uplambda \text {-}\hspace{2pt}\mathcal {CLOVR}$: looking for a needle in a haystack: a content-based video big data retrieval system in the cloud
Computational methods for predicting the outcome of thoracic transplantation
Analysis of agriculture data using data mining techniques: application of big data
Decoding defensive performance: a machine learning approach to football player valuation
Where you go is who you are: a study on machine learning based semantic privacy attacks
Chronic kidney disease prediction using machine learning techniques
Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
Supervised autoencoder MLP for financial time series forecasting
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends
GNSS-based navigation systems of autonomous drone for delivering items
A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5
Combining review elements for modelling various multi-criteria collaborative recommendation models
On the solution of intuitionistic fuzzy nonlinear Fredholm integral equation using direct computational method
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
Social media analysis of Twitter tweets related to ASD in 2019-2020, with particular attention to COVID-19: topic modelling and sentiment analysis
Novel mathematical model for the classification of music and rhythmic genre using deep neural network
An intelligent literature review: adopting inductive approach to define machine learning applications in the clinical domain
Multivariate response directional regression: a projective resampling approach
Evaluation of different machine learning approaches and input text representations for multilingual classification of tweets for disease surveillance in the social web
A novel Multi-Layer Attention Framework for visual description prediction using bidirectional LSTM
HaRD: a heterogeneity-aware replica deletion for HDFS
A semi-supervised short text sentiment classification method based on improved Bert model from unlabelled data
Evaluating latent content within unstructured text: an analytical methodology based on a temporal network of associated topics
An analysis of the graph processing landscape
Ally patches for spoliation of adversarial patches
A quadri-dimensional approach for poor performance prioritization in mobile networks using Big Data
Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset
An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage
Examining ALS: reformed PCA and random forest for effective detection of ALS
Gaussian transformation enhanced semi-supervised learning for sleep stage classification
Studying riots through the lens of social media
Learning manifolds from non-stationary streams
Multicollinearity applied stepwise stochastic imputation: a large dataset imputation through correlation-based regression
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
Label knowledge-guided heterogeneous graph contrastive learning for semi-supervised short text sentiment classification
Dynamic order Markov model for categorical sequence clustering
Gct-TTE: graph convolutional transformer for travel time estimation
A systematic review on big data applications and scope for industrial processing and healthcare sectors
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models
Time-series analysis with smoothed Convolutional Neural Network
Programming big data analysis: principles and solutions
Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation
Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis
Enhancing the quality of communication of cellular networks using big data applications
Designing a Permissioned Blockchain Network for the Halal Industry using Hyperledger Fabric with multiple channels and the raft consensus mechanism
Characterizing patent big data upon IPC: a survey of triadic patent families and PCT applications
Leveraging resource management for efficient performance of Apache Spark
Optimization of EEG-based wheelchair control: machine learning, feature selection, outlier management, and explainable AI
Accurate and interpretable CTR prediction via distilled neural additive feature interaction network
VADA: an architecture for end user informed data preparation
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information
Using social media for sub-event detection during disasters
Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling
An analytics model for TelecoVAS customers' basket clustering using ensemble learning approach
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms
Why polls fail to predict elections
A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems
A canonical model for seasonal climate prediction using Big Data
Dynamic time-varying transfer function for cancer gene expression data feature selection problem
Dimensionality reduction and class prediction algorithm with application to microarray Big Data
Big Data and discrimination: perils, promises and solutions. A systematic review
Comparison of LSM indexing techniques for storing spatial data
New distributed-topsis approach for multi-criteria decision-making problems in a big data context
Automatic magnetic resonance imaging series labelling for large repositories
A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques
The design of an adaptive column-store system
A framework for the estimation and reduction of hospital readmission penalties using predictive analytics
A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN
Survey on categorical data for neural networks
Big Data and precision agriculture: a novel spatio-temporal semantic IoT data management framework for improved interoperability
Hierarchical data fusion for Smart Healthcare
Detecting web attacks using random undersampling and ensemble learners
Machine learning-based prediction of elliptical double steel columns under compression loading
A non-parametric maximum for number of selected features: objective optima for FDR and significance threshold with application to ordinal survey analysis
Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce
Efficient verification of parallel matrix multiplication in public cloud: the MapReduce case
Main memory controller with multiple media technologies for big data workloads
Exploring halal tourism tweets on social media
Algorithms of the Möbius function by random forests and neural networks
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks
A review on adversarial-based deep transfer learning mechanical fault diagnosis
RTiSR: a review-driven time interval-aware sequential recommendation method
Cooperative co-evolution for feature selection in Big Data with random feature grouping
A multi-dimensional hierarchical evaluation system for data quality in trustworthy AI
An integrated multistage ensemble machine learning model for fraudulent transaction detection
An optimized approach for community detection and ranking
Modeling temporal aspects of sensor data for MongoDB NoSQL database
HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases
Using transfer learning for smart building management system
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features
A better entity detection of question for knowledge graph question answering through extracting position-based patterns
NLP-based platform as a service: a brief review
Measuring regularity of human physical activities with entropy models
An aspect sentiment analysis model with Aspect Gated Convolution and Dual-Feature Filtering layers
Explaining tourist revisit intention using natural language processing and classification techniques
Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms
Prediction of flight departure delays caused by weather conditions adopting data-driven approaches
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems
Can we predict multi-party elections with Google Trends data? Evidence across elections, data windows, and model classes
Big data analytics: does organizational factor matters impact technology acceptance?
Mamba-optimized transformer framework with dynamic deformation fields for real-time medical image registration
Kavosh: an effective Map-Reduce-based association rule mining method
Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model
A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
A survey on driving behavior analysis in usage based insurance using big data
Multi-layered deep learning perceptron approach for health risk prediction
Towards data sharing economy on Internet of Things: a semantic for telemetry data
Terramycelium: a reference architecture for adaptive big data systems
IECO: an improved educational competition optimizer for state-of-the-art engineering optimization
Federated Freeze BERT for text classification
Big data monetization throughout Big Data Value Chain: a comprehensive review
Robust metaheuristic algorithms with sequential replacement-improved dynamic population for optimizing energy consumption in a UAV-empowered IoT data collection system
The intrinsically linked future for human and Artificial Intelligence interaction
Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment
Intrusion detection systems using long short-term memory (LSTM)
Defining user spectra to classify Ethereum users based on their behavior
Editorial: Post-Mortem interview with Nikola Tesla
Big data in healthcare: management, analysis and future prospects
Customer churn prediction in telecom using machine learning in big data platform
A universal approach for multi-model schema inference
The stability of different aggregation techniques in ensemble feature selection
Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services
Robust visual tracking using very deep generative model
Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks
Uncovering trend-based research insights on teaching and learning in big data
Comparative study between incremental and ensemble learning on data streams: Case study
Multi combination pattern labeling by using deep learning for chameleon rotary machine environment
Trends in real-time artificial intelligence methods in sports: a systematic review
Attention-based BiLSTM with positional embeddings for fake review detection
Minimum threshold determination method based on dataset characteristics in association rule mining
A parallel and distributed stochastic gradient descent implementation using commodity clusters
An adaptive and real-time based architecture for financial data integration
Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts
Distributed large-scale graph processing on FPGAs
Estimating the carbon content of oceans using satellite sensor data
Application of big data analytics and organizational performance: the mediating role of knowledge management practices
Information preservation-based hashing for image retrieval
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis
Application of variable selection and dimension reduction on predictors of MSE's development
Theory-driven or process-driven prediction? Epistemological challenges of big data analytics
Development of a predictive model for on-time arrival flight of airliner by discovering correlation between flight and weather data
Spoofing keystroke dynamics authentication through synthetic typing pattern extracted from screen-recorded video
A big data methodology for categorising technical support requests using Hadoop and Mahout
Albatross analytics a hands-on into practice: statistical and data science application
Efficient microservices offloading for cost optimization in diverse MEC cloud networks
Understanding deep learning via backtracking and deconvolution
A brief survey on big data: technologies, terminologies and data-intensive applications
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges
An intelligent Alzheimer's disease diagnosis method using unsupervised feature learning
Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data
CRNet: a multimodal deep convolutional neural network for customer revisit prediction
Sparse sufficient dimension reduction for directional regression
A GPU based multidimensional amplitude analysis to search for tetraquark candidates
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline
A survey on platforms for big data analytics
Practical ANN prediction models for the axial capacity of square CFST columns
Identification of mRNA vaccines and conserved ferroptosis related immune landscape for individual precision treatment in bladder cancer
A reconstruction error-based framework for label noise detection
An efficient strategy for the collection and storage of large volumes of data for computation
High-performance computing in healthcare:an automatic literature analysis perspective
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks
Rating prediction of peer-to-peer accommodation through attributes and topics from customer review
Improving binary classification using filtering based on k-NN proximity graphs
DAPS diagrams for defining Data Science projects
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media
Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma
Evaluation of recent advances in recommender systems on Arabic content
Bayesian zero-inflated regression model with application to under-five child mortality
A clustering algorithm for multivariate data streams with correlated components
Computational 3D topographic microscopy from terabytes of data per sample
Attribute annotation and bias evaluation in visual datasets for autonomous driving
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
On using MapReduce to scale algorithms for Big Data analytics: a case study
Unified multi-agent recovery framework via multi-scale diffusion and dependency-aware hierarchical PPO for resilience enhancement
The community discovery method in heterogeneous networks: a survey
A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment
A software reliability model for open source big data system considering fault introduction and fault removal efficiency
Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France
Testing coverage criteria for optimized deep belief network with search and rescue
Threshold optimization and random undersampling for imbalanced credit card data
Deep learning enables the quantification of browning capacity of human adipose samples
Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches
Detection of fake news and hate speech for Ethiopian languages: a systematic review of the approaches
Supervised contrastive pre-training models for mammography screening
Search-engine-based surveillance using artificial intelligence for early detection of coronavirus disease outbreak
Remote sensing detection enhancement
The state of metaverse research: a bibliometric visual analysis based on CiteSpace
An empirical comparison of the performances of single structure columnar in-memory and disk-resident data storage techniques using healthcare big data
Introducing Mplots: scaling time series recurrence plots to massive datasets
Apply machine learning techniques to detect malicious network traffic in cloud computing
Framework for multi-criteria assessment of classification models for the purposes of credit scoring
Analysing the impact of contextual segments on the overall rating in multi-criteria recommender systems
Evaluation of maxout activations in deep learning across several big data domains
Analysis of imprecise measurement data utilizing z-test for correlation
Anomaly detection in business processes using process mining and fuzzy association rule learning
Survey on deep learning with class imbalance
Leveraging machine learning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management
DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies
Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance
Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns
Data science, big data, and machine learning are coming of age
Artificial intelligence's impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications
Towards more efficient CNN-based surgical tools classification using transfer learning
Enhanced Binary Kepler Optimization Algorithm for effective feature selection of supervised learning classification
Bilingual video captioning model for enhanced video retrieval
Data generation and application using the neutrosophic Erlang distribution
A survey on addressing high-class imbalance in big data
Block size estimation for data partitioning in HPC applications using machine learning techniques
Using deep learning for short text understanding
Retraction Note: Criminal tendency detection from facial images and the gender bias effect
Exploring the landscape of post quantum cryptography: a bibliometric analysis of emerging trends and research impact
Big data: an optimized approach for cluster initialization
A sample decreasing threshold greedy-based algorithm for big data summarisation
Graph neural network approach with spatial structure to anomaly detection of network data
Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study
Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media
Multi-dimensional geospatial data mining in a distributed environment using MapReduce
Skyline query under multidimensional incomplete data based on classification tree
Video block and FABEMD features for an effective and fast method of reporting near-duplicate and mirroring videos
Investigating class rarity in big data
Conventional dendritic cell 2 links the genetic causal association from allergic asthma to COVID-19: a Mendelian randomization and transcriptomic study
Gapprox: using Gallup approach for approximation in Big Data processing
'Everything is data': towards one big data ecosystem using multiple sources of data on higher education in Indonesia
Data imputation in large and small-scale spatiotemporal time series gaps using BackForward Bi-LSTM
Cartographies of warfare in the Indian subcontinent: Contextualizing archaeological and historical analysis through big data approaches
Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change
Readers' affect: predicting and understanding readers' emotions with deep learning
Support vector machine based feature extraction for gender recognition from objects using lasso classifier
Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach
Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets
Big data analysis for financial risk management
Composing high-level stream processing pipelines
CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering
Bayesian multilevel model on maternal mortality in Ethiopia
Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic
An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation
Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM)
Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
BERT-GraphSAGE: hybrid approach to spam detection
Time series modeling of road traffic accidents in Amhara Region
Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation
Evaluation of big data frameworks for analysis of smart grids
Efficient storage of heterogeneous geospatial data in spatial databases
Application of microservices patterns to big data systems
Cultivating a research agenda for data science
Generative AI in depth: A survey of recent advances, model variants, and real-world applications
DeepSecure: a novel deep learning model for effective detection of attacks on big data in Internet of Urban Things
Watch and learn: event-domain term extraction from social networks
Text-to-video generators: a comprehensive survey