yusuke1997/dblp-id-title huggingface dataset:
Efficient deep learning training: an energy-conscious adaptive framework (ECAF)
A comprehensive and analytical review of text clustering techniques
Mining subgraph coverage patterns from graph transactions
AutoML: state of the art with a focus on anomaly detection, challenges, and research directions
Entropy-based time-varying window width selection for nonlinear-type time-frequency analysis
An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports
Ordered weighted averaging (OWA) Operator-based Static and Dynamic Clustering for Optimized Data Transmission in WSN
Introduction to the special issue on data science in Asia (with PAKDD'2020)
A consistently oriented basis for eigenanalysis
A late fusion framework using whale optimization technique and attention-BiLSTM for fake news detection
Unsupervised online detection and prediction of outliers in streams of sensor data
Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer
Hierarchical federated learning for health trend prediction and anomaly detection using pharmacy data: from zone to national scale
Localized global models using autoencoder-based clustering to forecast related time series
Robust machine learning models: linear and nonlinear
An improved machine learning application for the integration of record systems for missing US service members
Secure IoTNet: a graph-residual adversarial network integrated with Hawk-Bee optimizer for intrusion detection in IoT wireless networks
Bias-resilient multi-label deep learning hybrid model for stance detection
Einstein: a fast online segmentation (pseudo-period extraction) algorithm for complex pseudo-periodic data streams
FairML: a Julia package for fair classification
Physics-inspired algorithms for community detection: a survey
Integration of biomedical concepts for enhanced medical literature retrieval
Assessing deepfake detection methods: a comparative evaluation on novel large-scale Asian deepfake dataset
A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams
Conditional checkpoint selection strategy based on sentence structures for text to triple translation using BiLSTM encoder-decoder model
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks
An empirical evaluation of deep semi-supervised learning
An ensemble deep learning model with empirical wavelet transform feature for oral cancer histopathological image classification
Large-scale asynchronous distributed learning based on parameter exchanges
General procedure to measure fairness in regression problems
Hypergraph projection enhanced collaborative filtering
Active zero-shot learning: a novel approach to extreme multi-labeled classification
Capturing homeostatic behaviour in elite football teams: synchronisation tendencies of cooperative and oppositional dynamics
Dynamic data-driven resource allocation for NB-IoT performance in mobile devices
Initialization for non-negative matrix factorization: a comprehensive review
Detecting computer-generated disinformation
Recent methods in vision-based hand gesture recognition
Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining
Mining structure overlaps for efficient graph compression
METAFORE: algorithm selection for decomposition-based forecasting combinations
Graph neural networks for house price prediction: do or don't?
GSSX: golden-section-based symbolic representation for reducing time series dimensionality
An interpretable approach based on possibilistic hypothetical case-based reasoning for fault diagnosis
The many faces of data-centric workflow optimization: a survey
Quantifying the waning effect of non-pharmaceutical interventions with case study in COVID-19
Multi-source domain adaptation approach to classify infrastructure damage tweets during crisis
Correction to: Exposing the probabilistic causal structure of discrimination
Unbiased recursive decision tree for supervised functional data classification with applying on electrocardiogram signals
Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches
Temporal analysis of topic modeling output by machine learning techniques
Aggregation methods and comparative study in time-to-event analysis models
Combining instance and feature neighbours for extreme multi-label classification
Re-interpreting rules interpretability
The good, the bad, and the ugly: uncovering novel research opportunities in social media mining
Machine learning, stock market forecasting, and market efficiency: a comparative study
Exact and approximate Boolean matrix decomposition with column-use condition
A data science approach to risk assessment for automobile insurance policies
Clustering source code from automated assessment of programming assignments
Generalized subsampled Newton methods for optimization and its application
Deadline-aware heuristics for reliability optimization in ubiquitous mobile edge computing
Drug prescription support in dental clinics through drug corpus mining
A novel sentiment correlation-based method with dual transformer model for stock price prediction
Big data quality prediction informed by banking regulation
The pattern frequency distribution theory: a mathematic establishment toward rational and reliable pattern mining
Forecasting implied volatilities of currency options with machine learning techniques and econometrics models
Spectral pursuit for simultaneous sparse representation with accuracy guarantees
Describing environmental phenomena variation using entropy theory
(So) Big Data and the transformation of the city
Semantic-aware aircraft trajectory prediction using flight plans
Overfitting, regularisation and condition estimation in regression
A systematic literature review on explainable AI for churn prediction, customer segmentation and retention
A data-driven approach for predicting crime occurrence using machine learning models
Motif-aware diffusion network inference
Joint design of symbiotic communication with AmBC and RIS in an IoT environment
Bayesian sequential ensemble learning
Proposal for optimizing number of servers in closed BCMP queueing network
Using semantic graphs to detect overlapping target events and story lines from newspaper articles
On the discovery of spatial-temporal fluctuating patterns
An enhanced hybrid optimization algorithm for community detection in social network
Efficient graph-based spectral techniques for data with few labeled samples
A spectral clustering approach for multivariate geostatistical data
Spatio-semantic user profiles in location-based social networks
Attenuated sentiment-aware sequential recommendation
Automatic user story generation: a comprehensive systematic literature review
Prescriptive analytics with differential privacy
An Information-theoretic approach to dimensionality reduction in data science
Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors
Taurus vs stairway to heaven: a novel MIDI-note empty-space dataset algorithm to detect music plagiarism
Automatic parallelization of representative-based clustering algorithms for multicore cluster systems
DRE-GCN: dual flexible residuals and explanation-guided GCN for explainable recommendation
A multi-channel sarcasm detection model integrating syntax and semantics
AI and data science for smart emergency, crisis and disaster resilience
A semi-supervised associative classification method for POS tagging
A fast scalable distributed kriging algorithm using Spark framework
On integrating re-ranking and rank list fusion techniques for image retrieval
Traffic congestion prediction and missing data: a classification approach using weather information
A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance
Reducing algorithm configuration spaces for efficient search
SentiVol-GA: a volatility-scaled genetic fusion of predictive models and financial sentiment for adaptive stock forecasting
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire
CSDNet: automatic cloud and shadow detection from satellite images based on encoder decoder network
(L 2 ) -norm transformation for improving k -means clustering
A decade of research in small object detection: a comprehensive bibliometric analysis
Redundant features removal for unsupervised spectral feature selection algorithms: an empirical study based on nonparametric sparse feature graph
Net-zero futures cities and transportation systems: estimation and analyzing of vehicle's carbon dioxide production by knowledge transferring
Sparse self-attention guided generative adversarial networks for time-series generation
Deep learning for hate speech detection: a comparative study
A similarity-based oversampling method for multi-label imbalanced text data
Discovering potential founders within academic institutions
Automated cetacean detection in UAV imagery using AI models: a case study on Delphinid species
Improving predictions of pediatric surgical durations with supervised learning
SurvBeX: an explanation method of the machine learning survival models based on the Beran estimator
CPI-model-based analysis of sparse k-means clustering algorithms
A new modularity metric for disjoint and overlapping community structure evaluation in weighted complex networks
Contrastive text summarization: a survey
Data interpolation methods with the UNet-based model for weather forecast
Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection
Large-scale predictive modeling and analytics through regression queries in data management systems
Structure and design of multimodal dataset for automatic regex synthesis methods in Roman Urdu
A constraint-based algorithm for causal discovery with cycles, latent variables and selection bias
Online detection of continuous changes in stochastic processes
An overview of sentence ordering task
A machine learning-based framework for predicting supply delay risk using big data technology
CoD-MaF: toward a Context-Driven Collaborative Filtering using Contextual Biased Matrix Factorization
Twin neural network improved k-nearest neighbor regression
Big Text advantages and challenges: classification perspective
Enhanced ubiquitous system architecture for securing healthcare IoT using efficient authentication and encryption
Sequential pattern mining algorithms and their applications: a technical review
Theoretical and practical data science and analytics: challenges and solutions
NDlib: a python library to model and analyze diffusion processes over complex networks
Sequential Bayesian estimation of the F1 score using the Dirichlet-multinomial model
Fusion of single-domain contrastive embedding and cross-domain graph collaborative filtering network for recommendation systems
Machine learning for soil moisture analysis: a survey and emerging perspectives
From data to interpretable models: machine learning for soil moisture forecasting
Synthetic Data Generation for Healthcare: Exploring Generative Adversarial Networks Variants for Medical Tabular Data
Two-sample testing with local community depth
Swarm-based support vector machine optimization for protein sequence-encoded prediction
Online performance prediction using the fusion model of LightGBM and TabNet for large laser facilities
A survey on event and subevent detection from microblog data towards crisis management
A comprehensive analysis of gender, racial, and prompt-induced biases in large language models
Iterative multiscale dynamic time warping (IMs-DTW): a tool for rainfall time series comparison
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility
A generic all-purpose transformation for multivariate modeling through copulas
A new data science research program: evaluation, metrology, standards, and community outreach
Detection of causally anomalous time-series
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach
Amalgamated feature-based endometrial cancer prognosis using unsupervised segmented histopathological images
Class Informed Concept Drift Detection in Multi-Class Data Streams
p-clustval: a novel p-adic approach for enhanced clustering of high-dimensional single-cell RNASeq data
A Comparative Analysis of Machine Learning classifiers for Dysphonia-based classification of Parkinson's Disease
Stochastic dynamic programming heuristics for influence maximization-revenue optimization
Extended MetaLIRS: Meta-learning for Imputation and Regression Selection Model with Explainability for Different Missing Data Mechanisms
Colloquial region discovery for retail products: discovery and application
Official statistics in the era of big data opportunities and threats
Mac-dp: multi-agent control for dynamic placement of electric vehicle charging stations
Correction to: A consistently oriented basis for eigenanalysis
Regression model and method settings for air pollution status analysis based on air quality data in Beijing (2017-2021)
Real-time fuel leakage detection via online change point detection
Sound-based sleep assessment with controllable subject-dependent embedding using Variational Domain Adversarial Neural Network
Gower-SOM: a self-organizing map for mixed data with gower distance and heuristic adaptation for data analytics
Establishing FAIR (Findable, Accessible, Interoperable and Reusable) principles for estuarine organisms exposed to engineered nanomaterials
Forecasting VIX using Bayesian deep learning
Analyzing the impact of missing values and selection bias on fairness
Cluster weighted model based on TSNE algorithm for high-dimensional data
Spatio-temporal exposure risk estimation for COVID-19 using social network analysis and mobile phone data
dLSTM: a new approach for anomaly detection using deep learning with delayed prediction
Guest editorial: special issue on causal discovery
Data science at SoBigData: the European research infrastructure for social mining and big data analytics
Improving recommendation diversity without retraining from scratch
Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database
An evaluation review of user similarity metrics in sparse collaborative filtering datasets
Introducing "Inside" out of distribution
Automatic identification of rank correlation between image sequences
The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons
A survey of approximate big data computing with the random sample partition (RSP)
Feature extraction for exoplanet detection
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion
Data-driven analytics of COVID-19 'infodemic'
Stopping fake news: Who should be banned?
A survey of sentiment analysis methods based on graph neural network
Loss function reconstruction: a stochastic process-based modeling and optimization approach
A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification
Correction to: Online information disorder: fake news, bots and trolls
Multilayer quantile graph for multivariate time series analysis and dimensionality reduction
Incremental learning strategies for credit cards fraud detection
Robust sparse k-means clustering against STOF observations
Automatic water mixing event identification in the Koljö fjord observatory data
Deep reinforcement learning for personalized insulin dosing and glucose control of hospitalized in ICU patients
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches
Graph neural networks for multivariate time series regression with application to seismic data
Data science: a game changer for science and innovation
Simultaneously feature selection and parameters optimization by teaching-learning and genetic algorithms for diagnosis of breast cancer
FELRec: efficient handling of item cold-start with dynamic representation learning in recommender systems
A few-shot learning method based on knowledge graph in large language models
Supremacy of attention-based transformer in oral cancer classification using histopathology images
Scalable Twitter user clustering approach boosted by Personalized PageRank
Modeling the time to share fake and real news in online social networks
Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: an analysis of real-world data
A neuro-fuzzy causal approach for pandemic severity forecasting: COVID-19 case study
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization
Deep multi-task learning with flexible and compact architecture search
Parallel edge-based visual assessment of cluster tendency on GPU
Optimizing energy and latency trade-offs in mobile ultra-dense IoT networks within futuristic smart vertical networks
Generating the ground truth: Synthetic data for soft label and label noise research
Data-driven discovery of causal interactions
How do noise labels in granulated datasets influence tree-based classification and rule generation performance: an experimental examination
CSAR: the cross-sectional autoregression model for short and long-range forecasting
A novel approach for discretizing continuous attributes based on tree ensemble and moment matching optimization
Privacy preserving cold-start recommendation for out-of-matrix users via content baskets
A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images
F2Fnet: alleviating spectral confusion in time series forecasting via dual Fourier modeling
A new three-parameter lifetime distribution for environmental data analysis: the Harris extended modified Lindley distribution
SPRAG: building and benchmarking a Short Programming-Related Answer Grading dataset
Collaborative filtering-based recommender systems by effective trust
MAWT: a market-contextual adaptive wavelet transformer for stock forecasting
Speeding-up node influence computation for huge social networks
Analyzing international airtime top-up transfers for migration and mobility
Linear adaptive filtering for regression in data streams
A comprehensive review of the mapper algorithm, a topological data analysis technique, and Its applications across various fields (2007-2025)
Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
Bias-variance tradeoff decomposition-based machine learning model selection: application to credit risk analysis
Identifiability and transportability in dynamic causal networks
Scalable boundary-preserving multi-class classification via k-d tree-accelerated vector generation
Blue-cloud DAB: developing a platform to harmonize, assess and disseminate marine metadata collections
Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions
Causal discovery from nonstationary time series
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes
Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm
A deep learning approach to predicting vehicle trajectories in complex road networks
Robust and optimal alignment of high-dimensional data using maximum likelihood estimation through a random sample consensus framework
Real-time monitoring of streaming text data by integrating text visualization techniques and natural language processing
Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations
Accurate and efficient privacy-preserving string matching
Beta regression residuals-based control charts with different link functions: an application to the thermal power plants data
Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields
Multilingual speech recognition initiative for African languages
Accurate classification of socially generated medical discourse
Obesity disease risk prediction using machine learning
PConvLSTM: an effective parallel ConvLSTM-based model for short-term electricity load forecasting
Pure expansion-based local community detection
Leveraging active learning for ocean data quality assessment: reducing labeling workload and addressing severe data imbalance challenges
Nested Gaussian mixture model: clustering data from generalized mixture distributions
Estimating nosocomial infection and its outcomes in hospital patients in England with a diagnosis of COVID-19 using machine learning
A fundamental question of counting in association rules
Toward sustainable smart cities: applications, challenges, and future directions
Oblique random forests with binary and ternary decision structures and non-parallel hyperplanes classifiers
Semantics-based Web service classification using morphological analysis and ensemble learning techniques
Feature selection: a perspective on inter-attribute cooperation
A data-driven approach to enhancing aircraft piloting proficiency
An empirical evaluation of clustering processes for early detection of university dropout
Elliptical modeling and pattern analysis for perturbation models and classification
Learning from word semantics to sentence syntax by graph convolutional networks for aspect-based sentiment analysis
Web-based phishing URL detection model using deep learning optimization techniques
Port performance indicators construction based on the AIS-generated trajectory segmentation and classification
A workflow language for research e-infrastructures
Recent advances and future challenges in federated recommender systems
CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system
Big data analytics on Apache Spark
Modeling inflation with machine learning: a cross-horizon systematic review
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction
Comparison of thresholds for a convolutional neural network classifying medical images
Software defect prediction based on support vector machine optimized by reverse differential chimp optimization algorithm
The impact of big data characteristics on credit risk assessment
Enhancing network intrusion detection using graph convolutional networks fused with traditional systems
Introduction to the special issue on PAKDD'2021
Sentiment analysis of Amazon product reviews using an inception-based recurrent residual CNN approach
Knowledge graph accuracy evaluation: an LLM-enhanced embedding approach
Relation extraction with enhanced self-attention model for SOV word order languages: Persian case study
Multi-task network embedding
Detection of anomalous vehicular traffic and sensor failures using data clustering techniques
Aspect-level multimodal sentiment analysis based on co-attention fusion
Classifying spatial trajectories using representation learning
A continuous, bounded and uniformly converging hypertan-normalization approach for improved classification accuracy and feature entropy
Exploratory analysis of logical and intuitive reasoning in large language models
Discovering weighted and attributed communities from social graphs
Streaming statistical models via Merge & Reduce
Time-series-decomposition model combined with pre-trained LSTM: real-time prediction of dissolved oxygen concentration suitable for automated aquaculture feeding system
A unified approach for continuous sign language recognition and translation
Learning attentive attribute-aware node embeddings in dynamic environments