yusuke1997/dblp-id-title huggingface dataset:
Leveraging big data analytics for intelligent transportation systems: optimize the internet of vehicles data structure and modeling
Uncertainty handling in learning to rank: a systematic review
Exploiting feature fusion and long-term context dependencies for simultaneous ECG heartbeat segmentation and classification
The validation of chest tube management after lung resection surgery using a random forest classifier
A review of random forest-based feature selection methods for data science education and applications
A novel spherical fuzzy-based decision model for assessing data management maturity in governmental institutions
Toward regret-free slot allocation in billboard advertisement
Toward an efficient extractive Arabic text summarisation system based on Arabic large language models
Time series forecasting of wheat crop productivity in Egypt using deep learning techniques
Optimizing SVM hyperparameters for satellite imagery classification using metaheuristic and statistical techniques
Linking bank clients using graph neural networks powered by rich transactional data
HierFlat: flattened hierarchies for improving top-down hierarchical classification
A novel optimization approach for dynamic trusted community detection using the gray wolf algorithm
Change-centric building damage assessment across multiple disasters using deep learning
On the nature and types of anomalies: a review of deviations in data
Introduction to the special issue on social mining and big data ecosystem for open, responsible data science
DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus
Graph sparsification with graph convolutional networks
Fast causal inference with non-random missingness by test-wise deletion
A survey on training and evaluation of word embeddings
Alleviating over-smoothing via aggregation over compact manifolds (extended version)
Learning from streaming data with unsupervised heterogeneous domain adaptation
Measuring objective and subjective well-being: dimensions and data sources
Should significance testing be abandoned in machine learning?
Interpreting tree ensembles with inTrees
Training-free outlier exposure for remote sensing out-of-distribution detection
SPIN: cleaning, monitoring, and querying image streams generated by ground-based telescopes for space situational awareness
Data-driven approach to form energy-resilient microgrids with identification of vulnerable nodes in active electrical distribution network
A recommendation system for scientific water data
A selective model for transfer learning in CNNs: optimization of fine-tuning layers
What can Venn diagrams teach us about doing data science better?
Public opinion and emotional discourse: a study of YouTube comments on Mexican news in 2024
Reviewing the effectiveness of lexicon-based techniques for sentiment analysis in massive open online courses
GViG: low-resource generative visual grounding using prompt-based language modeling for visual question answering
An empirical investigation of the neural base approaches based on the sentence length using low-resource language: English-to-Nyishi
Inferring variable labels using outlines of data in Data Jackets by considering similarity and co-occurrence
A systematic review of accent classification techniques and datasets for inclusive speech recognition
An Ad-slot allocation framework based on coverage pattern mining to improve display advertising revenue
Not all that glitters is green: empirical evidence from the Eurostoxx600 on stakeholders' perception of greenwashing
Identifying key factors of student academic performance by subgroup discovery
Decoding reddit memes virality
Text reuse in large historical corpora: insights from the optimization of a data science system
An attention-based bidirectional LSTM-CNN architecture for the early prediction of sepsis
A novel hybrid support vector machine with firebug swarm optimization
Randomized outlier detection with trees
Leveraging the Christoffel function for outlier detection in data streams
Topic modeling of behavioral modes using sensor data
Data Science: the impact of statistics
Deep learning for new fashion product demand prediction: integrating visual similarity and demand correction in cold-start scenarios
Efficient three-way SVM for three-class classification problems
Big data and precision medicine: challenges and strategies with healthcare data
Multi-view alternative hard c-means clustering
Cryptocurrencies asset pricing via machine learning
Genetic algorithm-based hybrid deep learning model for explainable Alzheimer's disease prediction using temporal multimodal cognitive data
Data science as a language: challenges for computer science - a position paper
DPISCAN: Distributed and parallel architecture with indexing for structural clustering of massive dynamic graphs
Periodic-confidence: a null-invariant measure to discover partial periodic patterns in non-uniform temporal databases
A low-sensitivity quantitative measure for traffic safety data analytics
Privacy-preserving record linkage using autoencoders
A benchmarking study of classification techniques for behavioral data
Easy-Mention: a model-driven mention recommendation heuristic to boost your tweet popularity
An efficient routing protocol based on a fast-lookup cuckoo filter for Internet of things networks
A fast and complete algorithm for enumerating pseudo-cliques in large graphs
Towards online training for RL-based query optimizer
Weakening faithfulness: some heuristic causal discovery algorithms
HiSPEED: a system for mining performance appraisal data and text
Multi-language: ensemble learning-based speech emotion recognition
Downscaling daily wind speed with Bayesian deep learning for climate monitoring
Ocean scope: a boosted novel ensemble deep learning-driven accurate underwater object detection and classification system using enhanced YOLOv8 and ACLS-RCNN
Energy-aware very fast decision tree
Efficient computation for task offloading in 6G mobile computing systems
AI recognition preprocessing algorithm for polyp based on illumination equalization and highlight restoration
On a generalization of Laplace distribution with applications
Decreasing graph complexity with transitive reduction to improve temporal graph classification
TOMBoost: a topic modeling based boosting approach for learning with class imbalance
IPMSM demagnetization fault diagnosis based on ultra-low sampling frequency data re-indexing restoration method
Forecasting respiratory tract infection episodes from prescription data for healthcare service planning
Fairness of linear regression in decision making
Cell phone big data to compute mobility scenarios for future smart cities
Weighted Heronian-Maclaurin mean-based classifiers combined with FM and their application in binary classification
Building the interpolating model for interval time series based on the fuzzy clustering technique
Pseudo datasets explain artificial neural networks
A machine learning approach to predict geomechanical properties of rocks from well logs
Domain-specific text dictionaries for text analytics
Research on transition sequence partitioning based on dependency relationships
Enhancing collaborative learning through AI-powered feedback systems
A survey on human-computer interaction technologies and techniques
Bayesian learning models to measure the relative impact of ESG factors on credit ratings
Mitigating sentimental bias via a polar attention mechanism
Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients
Video anomaly localization using modified faster RCNN with soft NMS algorithm
Attention versus contrastive learning of tabular data: a data-centric benchmarking
Scalable and flexible clustering solutions for mobile phone-based population indicators
FIRE: a two-level interactive visualization for deep exploration of association rules
Tackling cold-start with deep personalized transfer of user preferences for cross-domain recommendation
Reproducible clustering with non-Euclidean distances: a simulation and case study
A novel ensemble deep learning model for stock prediction based on stock prices and news
Transferring clique knowledge in multi-objective bee swarm optimization for dynamic community detection
Challenges of conventional feature extraction techniques for multivariate time-bars assets
CPSDbench: a large language model evaluation benchmark and baseline for Chinese public security domain
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis
Editorial: DSAA 2023 journal track on theoretical and practical data science and analytics
Selective guided domain adaptation for improving the proxy means test for poverty targeting
Efficient multiclass prediction using sliced inverse regression with covariance hybridisation: an application to degrees classification problem
Statistical power, accuracy, reproducibility and robustness of a graph clusterability test
Lost in data: recognizing type of time series sensor data using signal pattern classification
Comparison-based centrality measures
From planning to prevention: predicting mountain accident risks using pre-climb information
Graph-based comparative analysis of learning to rank datasets
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants
Leveraging volunteered geographical information and spatio temporal big data in disaster management: opportunity and challenges
LegalT5-ABSA: a framework for aspect-based sentiment analysis of parties in legal cases using text-to-text transfer transformer
Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality
Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique
A novel multilevel taxonomical approach for describing high-dimensional unlabeled movement data
Social Media and the Protection of Privacy: Current Gaps and Future Directions in European Private International Law
Quantile-based dynamic modeling of asymmetric data: a novel Burr XII approach for positive continuous random variables
A computational model for logical analysis of data
Personalized market response analysis for a wide variety of products from sparse transaction data
Optimizing graph layout by t-SNE perplexity estimation
Harmonizing imbalanced review datasets for aspect category detection through XLNet augmentation and BERT fine-tuning
Multi-class oversampling approach using deep generative adversarial network (MO-DGAN) for remote sensing imagery
Neutrosophic analysis of variance: addressing uncertainty in statistical analysis for artificial intelligence
Collective intelligence and knowledge exploration: an introduction
Lcp-mixer: a lightweight model based on concept-level perception for NLP
The non-stationary stochastic multi-armed bandit problem
Effects of distance and number of $\hbox {PM}_{2.5}$ low-cost sensors on correction models
Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier
AW-CES: adaptively weighted-cumulative error scoring for autoencoder-based anomaly detection on unlabeled data
Correction to: A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches
Performance measure for sparse recovery algorithms in compressed sensing perspective
Data science and AI in FinTech: an overview
Analyzing interconnected processes: using object-centric process mining to analyze procurement processes
Tree-based learning on amperometric time series data demonstrates high accuracy for classification
Development of an agricultural product price forecasting model via gradient boosting regression trees with a time series sampling approach
Machine learning models for predicting missing gender in cancer data
Attributed network embedding model for exposing COVID-19 spread trajectory archetypes
Meta-path-based link prediction in schema-rich heterogeneous information network
Bounding open space risk with decoupling autoencoders in open set recognition
A consistently oriented basis for eigenanalysis: improved directional statistics
A comparative study of imputation techniques for missing values in healthcare diagnostic datasets
An ethico-legal framework for social data science
Arabic word sense disambiguation: a survey in the era of transformer-based models
Utilizing structural metrics from knowledge graphs to enhance the robustness quantification of large language models
Analyzing and learning sparse and scale-free networks using Gaussian graphical models
A case study for intelligent event recommendation
A model of concept hierarchy-based diverse patterns with applications to recommender system
Conformalized prescriptive machine learning for uncertainty-aware automated decision making: the case of goodwill requests
Machine learning applications in Alzheimer's disease research: a comprehensive analysis of data sources, methodologies, and insights
Duo satellite-based remotely sensed land surface temperature prediction by various methods of machine learning
Handling imbalanced textual data: an attention-based data augmentation approach
Chasing Unknown Unknowns with the Available Data
Time-series forecasting for political violence targeting women
Sports analytics and the big-data era
An incremental framework to extract coverage patterns for dynamic databases
Coverage pattern based framework to improve search engine advertising
DIPformer: a deep inverted patching transformer for battery state of health estimation on voltage relaxation
Large-scale simulation study of active learning models for systematic reviews
Exploring machine learning-based methods for anomalies detection: evidence from cryptocurrencies
Microstructure reconstruction of porous copper foams based on deep convolutional generative adversarial networks with physical characteristics of materials
A framework for analyzing consumer satisfaction using deep learning and expectation-confirmation theory: with illustration of refurbished laptops
A multi-agent-based approach for community detection using association rules
Mapping sustainable development goals to citizen science projects-a comparative evaluation of automatic classifiers
A spatial big data architecture for vehicle data analytics: a focus on spatial data storage and query optimization
Predicting the pharmaceutical needs of hospitals using machine learning algorithms
Ec-tfs: incorporating extended capsule networks and time-frequency spectrum into time series classification
Speech-based detection of multi-class Alzheimer's disease classification using machine learning
Dimension-based subspace search for outlier detection
Multi-instance embedding learning with deconfounded instance-level prediction
Combination of individual and group patterns for time-sensitive purchase recommendation
Unsupervised graph attention autoencoder clustering-oriented for community detection in attributed networks
A robust hubness-based algorithm for image data stream classification
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning
Evaluating the robustness of fake news detectors to adversarial attacks with real user comments
Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications
Mapping the terrain of hate: identifying and analyzing online communities and political parties engaged in hate speech against Muslims and LGBTQ+ communities
An alternative data analytic approach to measure the univariate and multivariate skewness
Class-specific feature selection for enhancing explainability in ensemble classification models
Spatial-aware hyperspectral image classification via multifeature kernel dictionary learning
Robust multi-label feature learning-based dual space
Learning low-dimensional manifolds under the L0-norm constraint for unsupervised outlier detection
CIAMS: clustering indices-based automatic classification model selection
Biased resampling strategies for imbalanced spatio-temporal forecasting
A document representation framework with interpretable features using pre-trained word embeddings
Machine learning for optimized crop selection: a data-driven approach considering climate and soil type data
Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach
Discovering co-location patterns with aggregated spatial transactions and dependency rules
Enhancing hate speech detection with user characteristics
Unified multimodal conditional framework for unsupervised anomaly detection
Exploring the potential of carboxylic-functionalized graphene in IoT wearable sensor applications
Problems with research methods in medical device big data analytics
WoEEE: a hybrid approach for enhancement of categorical data transformation
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction
Objective metrics for ethical AI: a systematic literature review
Look into the LITE in deep learning for time series classification
Identifying Pareto-based solutions for regression subset selection via a feasible solution algorithm
The odd Weibull Lindley distribution for modeling wind energy data
Predicting occupational accidents in Brazilian cities: a machine learning-based approach
Reservoir consisting of diverse dynamical behaviors and its application in time series classification
A graph neural network-based machine learning model for sentiment polarity and behavior identification of COVID patients
Feature selection for spatially enhanced LBP: application to face recognition
Classification of orbits in Poincaré maps using machine learning
Toward green finance: applying Bayesian machine learning in environmental portfolio management
Characterizing and predicting fake news spreaders in social networks
A hybrid framework for fake news detection using transformer models with MASHAP
Speech sentiment recognition using lightweight parallel deep convolution neural network and long short-term memory
Docsentinet: a adaptive architecture for efficient document-level sentiment analysis
Classifying sensitive content in online advertisements with deep learning
Graph neural networks: Historical backgrounds, present revolutions, and conventionalization for the future
What can machines learn about heart failure? A systematic literature review
Correction to: Blue-cloud DAB: developing a platform to harmonize, assess and disseminate marine metadata collections
Soft adaptive node-level stabilization (SANLS): enhancing decision tree stability with information gain optimization and advanced splitting criteria
Spectral ranking and unsupervised feature selection for point, collective, and contextual anomaly detection
Social media data mining of human behaviour during bushfire evacuation
Homogeneous business and digital transformation
A novel adaptation of Naive Bayes methods for improving semiconductor fab yield
Graph minds and social binds: a hybrid approach to overlapping community detection
Quantitizing Affective Data as Project Evaluation on the Use of a Mathematics Mobile Game and Intelligent Tutoring System
Performance Evaluation of Indian Technical Institutions Using PROMETHEE-GAIA Approach
Teacher Training via Distance Learning Focussed on Educational Issues of Information Technology
Studying Students' Attitudes on Using Examples of Game Source Code for Learning Programming
UsabilityZero: Can a Bad User Experience Teach Well?
A Strategy of Learning Computational Thinking through Game Based in Virtual Reality: Systematic Review and Conceptual Framework
Pedagogical framework for cultivating children's data agency and creative abilities in the age of AI
Investigating the Drivers of Student Interaction and Engagement in Online Courses: A Study of State-of-the-art
Development of an Intelligent Instruction System for Mathematical Computation
Computational Thinking Relationship with Digital Competence
Egyptian Fractions Revisited
A method for automated program code testing
Help students learn interpreted Petri nets with Minecraft
A Study on the Perception of Students towards Educational Weblogs
Cognitive Personality Traits and Technical Knowledge of Young People in Lithuania
Extracurricular training in informatics in ruse
The Overlooked Don't-Care Notion in Algorithmic Problem Solving
Use of Digital Mind Maps in Technology Education: A Pilot Study with Pre-Service Science Teachers
Perceptions of Primary School Teachers on Interdisciplinary Computational Thinking Skills Training
Measuring Students' Acceptance and Confidence on Algorithms and Programming: The Impact of the Engagement with CS on Secondary Education
An Empirical Perspective of Using Ternary Relationships in Database Conceptual Modelling
Analyzing the Use of Concept Maps in Computer Science: A Systematic Mapping Study
Educational Robotics Applications for the Development of Computational Thinking in a Brazilian Technical and Vocational High School
Leveraging the Pied Piper effect -The case of teaching programming to sixth-grade students via music
Visualize and Open Up
Reliability and Validity of an Automated Model for Assessing the Learning of Machine Learning in Middle and High School: Experiences from the "ML for All!" course
Project as a learning method in expert development
Monitoring Academic Performance Based on Learning Analytics and Ontology: A Systematic Review
Constructive Graph Tasks in Distant Contests
Educational Infrastructure Using Virtualization Technologies: Experience at Kaunas University of Technology
ICT in Education in Finland and Hong Kong. An Overview of the Present State of the Educational System at Various Levels
Effects, Experiences and Feedback from Studies of a Program Visualization Tool
An Empirical Study on the Use of Student-Focused Approaches in the Software Engineering Teaching
An Approach to Evaluate the Complexity of Block-Based Software Product
Information technology implementation: analysis theoretical methods and frameworks
The grades transfer from one grading scale to other algorithmization
The Effects of Using Web-Based 3D Design Environment on Spatial Visualisation and Mental Rotation Abilities of Secondary School Students
Centralised Mathematics Assessments of Lithuanian Secondary School Students: Population Analysis
Evaluation of Perception of Use of a Gamified Platform from the Student Perspective: An Approach for Studying Unified Modeling Language
Some Findings on Informatics Education in Austrian Academic Secondary Schools
Students' activity focus in online asynchronous peer learning forums
Teaching Problem Solving Skills using an Educational Game in a Computer Programming Course
Some aspests of intedration information tachnologies into education
Take Note: the Effectiveness of Novice Programmers' Annotations on Examinations
Guidelines on the Design of Effective CBL Environments
Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation
The Effect of Unplugged Coding Activities on Computational Thinking Skills of Middle School Students
Towards the Information Society - the Case of Finnnish Teacher Education
Integrating Formal Methods for Security in Software Security Education
Reshaping e-learning content to meet the standards
Computers in Physical Therapy Education: Interactive Multimedia Learning with MuStreT
Minding the Gap. Proposing a Teacher Learning-Training Framework for the Integration of Robotics in Primary Schools
Understanding loops: What are the misconceptions of lower-secondary pupils?
Online Education vs Traditional Education: Analysis of Student Performance in Computer Science using Shapley Additive Explanations
Bibliometric Analysis of Research on Learning Analytics Based on Web of Science Database
Understanding Students' Failure to use Functions as a Tool for Abstraction - An Analysis of Questionnaire Responses and Lab Assignments in a CS1 Python Course
Lesson Planning by Computational Thinking Skills in Italian Pre-service Teachers
Active Learning Methodologies for Teaching Programming in Undergraduate Courses: A Systematic Mapping Study
Informatics in Education and Koli Calling: a Comparative Analysis