yusuke1997/dblp-id-title huggingface dataset:
FAIR data management practices to introduce circular economy in aquaculture: benefits, barriers and a preliminary roadmap
Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI
Sample-selection-adjusted random forests
Optimizing network lifespan through energy harvesting in low-power lossy wireless networks
Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic
Performance prediction in major league baseball by long short-term memory networks
A new discrete XLindley distribution: theory, actuarial measures, inference, and applications
Enhancing personalized modeling via weighted and adversarial learning
Power analysis for causal discovery
Grade prediction with models specific to students and courses
Transferable aircraft trajectory prediction with generative deep imitation learning
An overview of methods and techniques in multimodal data fusion with application to healthcare
A hybrid approach for the spatial disaggregation of socio-economic indicators
Innovative hardware and architectures for ubiquitous data science
Implementation of air pollution traceability method based on IF-GNN-FC model with multiple-source data
A greedy algorithm to construct sparse graph by using ranked dictionary
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities
Lag-length hyperparameter impacts on unit root testing: toward robust SARIMA integration order estimation
Unsupervised extra trees: a stochastic approach to compute similarities in heterogeneous data
Building the classification model based on the genetic algorithm and the improved Bayesian method
A systematic review of plant leaf disease detection and classification using machine learning and deep learning techniques
Identifying missing data handling methods with text mining
Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques
TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data
Investigation of graph-based clustering approaches along with graph neural networks for modeling armed conflict in Bangladesh
Privately evaluating sensitive population record linkage without ground truth data
Crime prediction in Trinidad and Tobago using big data analytics
Methods and evaluation in unsupervised keyphrase prediction: a survey
How to create graphs in hardware-constrained environments? Choosing the best creation approach via machine learning-based predictive models
Communication overhead reduction in federated learning: a review
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic
An effective initialization for Fuzzy PSO with Greedy Forward Selection in feature selection
Explainable machine learning for predicting voting intentions: a study of Italian politics
Anonymity and security improvements in heterogeneous connected vehicle networks
The data dance: choreographing seamless partnerships between humans, data, and GenAI
Fully generated mammogram patch dataset using CycleGAN with de-identification texture analysis
A stable model for maximizing the number of significant features
GAME+: lossless knowledge-graph compression for improving the efficiency and effectiveness of rule mining
Feature range analysis
Big-MDC: A Multi-Dimensions Cleaning Framework to Improve Big Data Quality
Deep learning and transfer learning to understand emotions: a PoliEMO dataset and multi-label classification in Indian elections
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD
SeNSe: embedding alignment via semantic anchors selection
On the utility of probabilistic closed-form proxy models for describing supercomputer network traffic data
A survey of the application of graph-based approaches in stock market analysis and prediction
A multiclass classifier based on hidden markov model with left inverse algorithm
Node embedding approach for accurate detection of fake reviews: a graph-based machine learning approach with explainable AI
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter
A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation
AssistML: an approach to manage, recommend and reuse ML solutions
Detection of homophobia and transphobia in YouTube comments
Path signature-based phase space reconstruction for stock trend prediction
Applications of the discrete-time Fourier transform to data analysis
Ranking with ties based on noisy performance data
Smapf-hnna: a novel Stock Market Analysis and Prediction Framework using Hybrid Neural Network Architectures Across Major U.S. Indices
The disaster of misinformation: a review of research in social media
Explainable long-sequence time-series forecasting for infectious diseases using optimised transformer models
Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization
Assessing utility theory and logistic regression models to predict drivers' stop/go behavior considering random taste variations
Forecasting hotel reservations with long short-term memory-based recurrent neural networks
Privacy-preserving distributed learning: collaborative training on principal components and orthogonal projections of datapoints
Document forgery detection: a comprehensive review
An accurate spam email detection mechanism using XLNet
An efficient join operations for utility list-based high-utility mining approaches using hybrid search technique
Adv-SHNets: a stock movement prediction framework based on hierarchy LSTM networks
Continuous software monitoring backed by process mining: a systematic literature review
Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform
Anonymization of German financial documents using neural network-based language models with contextual word representations
Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders
Imbalanced learning in corruption detection: results explanations with SHAP
Bear warning: predicting encounters using temporal, environmental, and demographic features
A comparative study of traditional machine learning and hybrid fuzzy inference system machine learning models for air quality index forecasting
A Meta-learner approach to multistep-ahead time series prediction
Identification of influential environmental factors in wheat crop yield based on feature selection techniques
Learning to discover medicines
Hybrid optimization-based clustering and cross-layer channel access routing with wavelet-based Elman network for effective transmission in wireless sensor network
An improved scheme for determining top-revenue itemsets for placement in retail businesses
An influence model for influence maximization-revenue optimization
Average Volatility Dimensioning (AVD): dimension reduction technique for multivariate time series
Predicting full retirement attainment of NBA players
Deep learning-based approach for COVID-19 spread prediction
Guest editorial: special issue on Environmental and Geospatial Data Analytics
Sentiment analysis using AdBERT model
A nearest neighbor-based approach for improving the reliability of multiclass probabilistic classifiers
Context discovery for anomaly detection
Using data to build a better EM: EM* for big data
Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable
Analyzing impact of parental occupation on child's learning performance: a semantics-driven probabilistic approach
Clustering refinement
A novel fault propagation path identification inference algorithm using parent nodes filter
Personalised medicine challenges: quality of data
A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life
Analysing citizen-birthed data on minor heritage assets: models, promises and challenges
Sharing practices of software artefacts and source code for reproducible research
Regression-based supervised learning of autosteering of a road car featuring a delayed steering response
Data science in Asia (for PAKDD 2016)
Enhancing medical classification with fuzzy logic-based missing data imputation technique
Overfitting measurement of convolutional neural networks using trained network weights
Enhanced regression modelling for both under- and overdispersed count data
A novel prediction model to evaluate the dynamic interrelationship between gold and crude oil
MCNP-simulated HPGe soil spectra: a public dataset and machine learning benchmark for multi-isotope quantification
An efficient machine learning approach for extracting eSports players' distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross-validation
Telugu named entity recognition using bert
Surgicberta: a pre-trained language model for procedural surgical language
Quant data science meets dexterous artistry
Identifying clinical feature clusters toward predicting stroke in patients with asymptomatic carotid stenosis
Leveraging local data sampling strategies to improve federated learning
A characterization of sample selection bias in system evaluation and the case of information retrieval
Online segmented thickness prediction of hot rolling strip based on IBA-XGBoost
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity
A multi-objective optimization framework for large-scale crop land allocation: a case study on Algeria
Social recommendation system based on heterogeneous graph attention networks
A novel transfer learning method leveraging clustering and local variance for drifting data streams classification
Interactive story maps for historical musical instruments: a 3D and semantic web tool for cultural heritage preservation
The use of match-based exact movement activities to classify elite rugby league players into positional groups
Erratum to: (L 2 ) -norm transformation for improving k -means clustering
Evaluating link prediction: new perspectives and recommendations
An interaction-based method for detecting overlapping community structure in real-world networks
ScholarRec: a scholars' recommender system that combines scholastic influence and social collaborations in academic social networks
Training data scientists: a few challenges
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression
Short-term energy market forecasting ensemble with multi-data source integration
Similarity-based probabilistic category-based location recommendation utilizing temporal and geographical influence
Turbofan engine health status prediction with heterogeneous ensemble deep neural networks
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms
A novel bifold-attention-LSTM for analyzing PM2.5 concentration-based multi-station data time series
FLICs (Facebook Language Informal Corpus): a novel dataset for informal language
INRA: deep autoencoder-based node influence ranking method in complex networks
Enhancing visual question answering with common sense knowledge: a data-driven neurosymbolic graph routing approach
Correction to: Conventional displays of structures in data compared with interactive projection-based clustering (IPBC)
Three-level scoring based on community and decomposition structures to identify influential spreaders in a social network
Quantum multi-agent reinforcement learning for efficient resource allocation and trajectory optimization in multi-UAV IoT networks
Mayfly-based federated learning approach for early detection of fire
Optimized dynamic multi-head attention for abstractive text summarization
Edge computing in big data: challenges and benefits
Correction to: Human migration: the big data perspective
Exploring digital twin in sustainable development: a scientometric analysis
Enhancing clinical information processing with ICRE: an intelligent chain-refinement extraction framework for precision data mining
Probabilistic exact adaptive random forest for recurrent concepts in data streams
Performance analysis of collaborative real-time video quality of service prediction with machine learning algorithms
Identity2Vec: learning mesoscopic structural identity representations via Poisson probability metric
Enhancing Money Laundering Detection in Bank Transactions using GAGAN: A Graph-Adapted Generative Adversarial Network Approach
A rolling bearing fault diagnosis method based on vibro-acoustic data fusion and fast Fourier transform (FFT)
Anti-discrimination learning: a causal modeling-based framework
Resampling strategies for imbalanced time series forecasting
Conventional displays of structures in data compared with interactive projection-based clustering (IPBC)
A robust framework for topology-based anomaly detection in attributed networks using graph attention networks, substructure analysis, and data augmentation
A review on swarm optimization, hybridization and extent of applications
Abstractive text summarization using deep learning models: a survey
Traffic signal detection from in-vehicle GPS speed profiles using functional data analysis and machine learning
Automated recommendation model using ordinal probit regression factorization machines
Data science and analytics: a new era
Centrality measures on segmented entropy networks to identify influencers and influencees for financial market scenario
Real-time anomaly detection in sky quality meter data using probabilistic exponential weighted moving average
Temporal analysis of computational economics: a topic modeling approach
Strategic management of human skills in Big Data initiatives: from SLR to skills taxonomy and human resource management framework
Comparative study of various machine learning methods on ASD classification
A classification framework for demand side management in residential smart grids
Knowledgebase approximation using association rule aggregation
A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches
A Survey on the Impact of Pre-Trained Language Models in Sentiment Classification Task
Hiding outliers in high-dimensional data spaces
A systematic review of various load balancing approaches in cloud computing utilizing machine learning and deep learning
Density kernel depth for outlier detection in functional data
Alternative feature selection with user control
Generalization of the Lindley distribution with application to COVID-19 data
Which geographical scale best aligns with epidemiological data?
Correction to: A recommendation system for scientific water data
Introduction to the special issue on social data analytics in medicine and healthcare
Cyber insights: exploring the effectiveness of image-based and vector-based feature representations in insider threat detection
Human migration: the big data perspective
Fault-tolerance-aware flexible and mobility-aware task offloading based on machine learning in mobile cloud computing
Identification of token contracts on Ethereum: standard compliance and beyond
Robust and resilient hidden sequence decoding in noisy data with enhanced HMM and dynamic NN ensembles
A detailed analysis into evaluation metrics for knowledge graph evaluation
Louvain community-based label assignment for reject inference in peer-to-peer lending
Symmetry group equivariant convolutions for representation learning: a survey
Enhancing e-commerce recommendations with a novel scale-aware spectral graph wavelets framework
HUFTI-SPM: high-utility and frequent time-interval sequential pattern mining from transactional databases
A Review on Privacy-Preserving Techniques for Spatiotemporal Data
Enhanced particle swarm optimization-based hyperparameter optimized stacked autoencoder for credit card fraud detection
Social-group-based ranking algorithms for cold-start video recommendation
Declarative data analysis
Clustering time series by extremal dependence
CARE: coherent actionable recourse based on sound counterfactual explanations
A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications
Weighted non-negative matrix factorization with Katz-enhanced latent structures and attribute constraints for robust community detection
Interactive planning of revisiting-free itinerary for signed-for delivery
Cloud-based non-invasive cognitive breath monitoring system for patients in health-care system
Enhanced multi-task learning using optimization methods
VIPER: a new compartment model for prediction of infected and recovered patients in pandemics with case studies on COVID-19
An explainable AI-driven framework integrating SHAP and QFD for transitioning from CRM to CJM in customer-centric optimization
Optimal and intelligent 3D positioning of relay in dynamic UAV network
Symmetric contrastive learning for robust fault detection in time-series traffic sensor data
Correction to: Alternative feature selection with user control
Deep multi-task learning: a review of concepts, methods, and cross-domain applications
Predicting normalized difference vegetation index using a deep attention network with bidirectional GRU: a hybrid parametric optimization approach
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset
Urban fire station location planning using predicted demand and service quality index
A new regression model for count data with applications to health care data
Rumor containment in peer-to-peer message sharing online social networks
Sampling and sparsification for approximating the packedness of trajectories and detecting gatherings
Howard's algorithm for high-order approximations of American options under jump-diffusion models
A hybrid deep learning neural network for early plant disease diagnosis using a real-world Wheat-Barley vision dataset: challenges and solutions
Hvssf: A Similar User Mining Method for Cellular Signaling Data With Semantic Information
Temporal betweenness centrality in dynamic graphs
Influence-based approaches for tumor classification in noisy brain MRI with deep learning and vision-language models
Hallucination in AI-generated financial literature reviews: evaluating bibliographic accuracy
Introduction to the special issue on Data Science in Europe
Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solution
A survey on machine learning methods for churn prediction
Random feature embeddings give strong baselines for extreme multi-label text classification
Beyond belief: a cross-genre study on perception and validation of health information online
Neutrosophic linear model for artificial intelligence: addressing uncertainty in training and testing phases
Agenda-Setting for COVID-19: A Study of Large-Scale Economic News Coverage Using Natural Language Processing
Improving stance detection accuracy in low-resource languages: a deep learning framework with ParsBERT
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining
Algorithmic trading strategy based on the integration of deep learning models and natural language processing
A survey on TRIX index and machine learning applications in marine pollution context
Process mining: software comparison, trends, and challenges
RASCL: a randomised approach to subspace clusters
Parallel U-net: a novel Unet for link prediction in knowledge graph embedding
Application of optimized differential privacy protection algorithm in data mining privacy protection
Narratives from GPT-derived networks of news and a link to financial markets dislocations
Discrete double factors of a family of odd Weibull-G distributions: features and modeling
AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks
Score test for marks in Hawkes processes
Virtual concept drift detection and adaptation in federated data stream learning
A novel discrete slash family of distributions with application to epidemiology informatics data
Visual analytics of high-frequency lake monitoring data
Improved robust nonparallel support vector machines
Laplacian Metropolis-Hastings Gradient Torgerson Scaling and Optimized VGG16-based mammogram classification
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning
Analyzing evolving stories in news articles
Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection
Data reduction in big data: a survey of methods, challenges and future directions
On querying and mining semantic-aware mobility timelines
Beyond the hypes on data rebalancing in imbalance learning: towards a balanced framework and recommender system
Active learning in process mining: an active sampling using dimensionality reduction and iterative selection
FACTORBASE: multi-relational structure learning with SQL all the way
Parameter optimization in biclustering algorithms for large datasets using a combined approach of NSGA-II and TOPSIS
Integrated hesitant fuzzy-based decision-making framework for evaluating sustainable and renewable energy
An effective approach for semantic-based clustering and topic-based ranking of web documents
A fully decentralized federated adversarial vision transformer with blockchain and secure aggregation for visual-based intrusion and malware forensics
Predicting and explaining employee turnover intention
Enhancing author assessment: an advanced modified recursive elimination technique (MRET) for ranking key parameters and conducting statistical analysis of top-ranked parameter
Lasso and Ridge regression: a comprehensive review of applications and developments in machine learning
Leveraging AI for biomedical data augmentation: a comparative review of model characteristics, performance analysis, and future research directions
Toward a taxonomy for 2D non-paired General Line Coordinates: a comprehensive survey
Video emotion analysis enhanced by recognizing emotion in video comments
Enhancing smart home device identification in WiFi environments for futuristic smart networks-based IoT
On spectral analysis of directed signed graphs
A data analytics framework for reliable bus arrival time prediction using artificial neural networks
A hybrid method for enhancing aspect sentiment classification in the french language: combining rule-based and learning methods
Using network features for credit scoring in microfinance
A probabilistic spatio-temporal neural network to forecast COVID-19 counts
Parallel SLINK for big data
Automated parameter tuning in one-class support vector machine: an application for damage detection
Impact of hotel responses to online reviews on customer loyalty and acquisition: a longitudinal sentiment analysis with booking
Nonparametric and nonlinear approaches for medical data analysis
Anytime algorithm for frequent pattern outlier detection
Compressing unstructured mesh data from simulations using machine learning
Analysis of the Arab singer Shadia's lyrics
Semantic enhanced Markov model for sequential E-commerce product recommendation
Context-aware anomaly detection in attributed graphs via deep skip-gram and multi-level feature fusion
Functional anomaly detection: a benchmark study
Multi-armed bandits for performance marketing
Hierarchical growth self-generating prototype: an information entropy-based approach for dataset reduction
Performance evaluation of metaheuristics-tuned recurrent networks with VMD decomposition for Amazon sales prediction
TenMARO: a deterministic-chaotic metaheuristic framework for data-driven fault parameter optimization in aero-engine digital twin
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study
Deep reinforcement learning approach for ontology matching problem
DeepTLF: robust deep neural networks for heterogeneous tabular data