yusuke1997/dblp-id-title huggingface dataset:
A Graph-Based Approach for Sentiment Sentence Extraction
Significant Pattern Mining with Confounding Variables
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise
A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data
Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning
JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment
Explanation-Based Anonymization Methods for Motion Privacy
Adding Personality to Information Clustering
Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning
Quantifying Opinion Rejection: A Method to Detect Social Media Echo Chambers
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
Data Mining Techniques for Associations, Clustering and Classification
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier
Data Mining Based on the Generalization Distribution Table and Rough Sets
Conditional Random Fields for Transmembrane Helix Prediction
A Generalization of Recurrent Neural Networks for Graph Embedding
Discovering Unordered and Ordered Phrase Association Patterns for Text Mining
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories
Attention-Based Hierarchical Recurrent Neural Network for Phenotype Classification
Interaction-Based Social Relationship Type Identification in Microblog
Privacy Preserving Data Mining: Challenges and Opportunities
Graph-based Dynamic Preference Modeling for Personalized Recommendation
Efficient Constraint-Based Exploratory Mining on Large Data Cubes
Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence
JPLink: On Linking Jobs to Vocational Interest Types
DBRS: A Density-Based Spatial Clustering Method with Random Sampling
Factoid Mining Based Content Trust Model for Information Retrieval
Optimization of Fuzzy Rules for Classification Using Genetic Algorithm
A Robust Classifier for Imbalanced Datasets
Robust Influence-Based Training Methods for Noisy Brain MRI
Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation
Aspect-Based Sentiment Analysis of Amazon Reviews for Fitness Tracking Devices
Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features
Characterizing Temporal Anomalies in Evolving Networks
Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic
Mining Drug Properties for Decision Support in Dental Clinics
A Neighborhood-Based Clustering Algorithm
DPNE: Differentially Private Network Embedding
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle
Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions
Unsupervised Multi-label Text Classification Using a World Knowledge Ontology
Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data
Human Identification via Unsupervised Feature Learning from UWB Radar Data
MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection
Mining Recurrent Patterns in a Dynamic Attributed Graph
Using Multimodal Data to Improve Precision of Inpatient Event Timelines
Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance
Towards Better Generalization for Neural Network-Based SAT Solvers
Uniform Evaluation of Properties in Activity Recognition
Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs)
ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based on Common-Specific Feature Learning
MC3: A Multi-class Consensus Classification Framework
SD-Attack: Targeted Spectral Attacks on Graphs
A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm
Inferring Attitude in Online Social Networks Based on Quadratic Correlation
BeamAttack: Generating High-quality Textual Adversarial Examples Through Beam Search and Mixed Semantic Spaces
Active Learning for Cross Language Text Categorization
Affine Transformation Capsule Net
Efficient Pedestrian Detection in the Low Resolution via Sparse Representation with Sparse Support Regression
mHMG-DTI: A Drug-Target Interaction Prediction Framework Combining Modified Hierarchical Molecular Graphs and Improved Convolutional Block Attention Module
Identification of Harvesting Year of Barley Seeds Using Near-Infrared Hyperspectral Imaging Combined with Convolutional Neural Network
Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering
ACHIM: Adaptive Clinical Latent Hierarchy Construction and Information Fusion Model for Healthcare Knowledge Representation
A Novel Adaptive and Safe Framework for Ubicomp
Clustering Complex Data Represented as Propositional Formulas
Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction
QWalkVec: Node Embedding by Quantum Walk
Influence Maximization Across Partially Aligned Heterogenous Social Networks
Relations Between Adjacency and Modularity Graph Partitioning
Query-Based Automatic Training Set Selection for Microblog Retrieval
An Empirical Study on Hybrid Recommender System with Implicit Feedback
Keyword-based Text Matching Approach for Design Style Recognition
Perspective on Data Mining from Statistical Viewpoints
Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback
Secure k-NN Query on Encrypted Cloud Data with Limited Key-Disclosure and Offline Data Owner
Distributed Representation of Multi-sense Words: A Loss Driven Approach
A New Skeleton-Neural DAG Learning Approach
Mining Severe Drug-Drug Interaction Adverse Events Using Semantic Web Technologies: A Case Study
Automated Detection for Probable Homologous Foodborne Disease Outbreaks
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures
Fast and Effective Single Pass Bayesian Learning
Mining Chat Conversations for Sex Identification
ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation
Predicting Protein Interactions in Human by Homologous Interactions in Yeast
Incremental Set Recommendation Based on Class Differences
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention
Hash-Based Stream LDA: Topic Modeling in Social Streams
Active Feature Selection Using Classes
Privacy-Preserving Network Aggregation
Characterizing the SOM Feature Detectors Under Various Input Conditions
Understanding Research Field Evolving and Trend with Dynamic Bayesian Networks
Reliably Calibrated Isotonic Regression
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
Principal Curves with Feature Continuity
Enhancing SWF for Incremental Association Mining by Itemset Maintenance
Mining Association Rules with Linguistic Cloud Models
Rigidly Self-Expressive Sparse Subspace Clustering
Soft Contrastive Learning for Implicit Feedback Recommendations
Programmatic Buying Bidding Strategies with Win Rate and Winning Price Estimation in Real Time Mobile Advertising
Extracting User Interests from Bookmarks on the Web
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
Effective Local Metric Learning for Water Pipe Assessment
Algorithms to Discover Complete Frequent Episodes in Sequences
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features
Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis
NewsKVQA: Knowledge-Aware News Video Question Answering
BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
Neighborhood Constraint Matrix Completion for Drug-Target Interaction Prediction
Using Constraints to Generate and Explore Higher Order Discriminative Patterns
A More Topologically Stable Locally Linear Embedding Algorithm Based on R*-Tree
ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes
Incorporating Probabilistic Knowledge into Topic Models
Efficient Sampling: Application to Image Data
Mining Correlated Subgraphs in Graph Databases
Preconditioning an Artificial Neural Network Using Naive Bayes
RNE: A Scalable Network Embedding for Billion-Scale Recommendation
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
Multi-Query Person Search with Transformers
A Music Recommendation System Based on Acoustic Features and User Personalities
Mining Temporal Fluctuating Patterns
A Classification Model for Diverse and Noisy Labelers
Discovering Prediction Model for Environmental Distribution Maps
A Framework for SQL-Based Mining of Large Graphs on Relational Databases
Repulsive-SVDD Classification
Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity Evaluation
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion
Detecting Near-Duplicates in Large-Scale Short Text Databases
Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders
A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification
Bayesian Sequence Learning for Predicting Protein Cleavage Points
DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks
Active Blocking Scheme Learning for Entity Resolution
Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction
Toward Bayesian Classifiers with Accurate Probabilities
Rough-Set Inspired Approach to Knowledge Discovery in Business Databases
Detecting Spam Community Using Retweeting Relationships - A Study on Sina Microblog
Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data
Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines
Rules Discovery from Cross-Sectional Short-Length Time Series
Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data
A Hybrid Approach to Improve Bilingual Multiword Expression Extraction
Certainty upon Empirical Distributions
Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks
Point Estimation Using the Kullback-Leibler Loss Function and MML
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning
Ramp : High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection Technique
Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs
COW: A Co-evolving Memetic Wrapper for Herb-Herb Interaction Analysis in TCM Informatics
A Decomposition Algorithm for Learning Bayesian Network Structures from Data
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets
Towards Multi-label Feature Selection by Instance and Label Selections
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II
dK-Microaggregation: Anonymizing Graphs with Differential Privacy Guarantees
Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract)
Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases
PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts
A New Mechanism of Mining Network Behavior
Improving Energy-Based Out-of-Distribution Detection by Sparsity Regularization
On Linear Refinement of Differential Privacy-Preserving Query Answering
Person Name Disambiguation in Web Pages Using Social Network, Compound Words and Latent Topics
Variational Deep Collaborative Matrix Factorization for Social Recommendation
Ensembles of Interesting Subgroups for Discovering High Potential Employees
Mining Open Source Software (OSS) Data Using Association Rules Network
Interesting Recommendations Based on Hierarchical Visualizations of Medical Data
A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization
A Statistical Approach for Binary Vectors Modeling and Clustering
Comparison of Hemagglutinin and Neruaminidase of Influenza A Virus Subtype H1N1, H5N1, H5N2, and H7N9 Using Apriori Algorithm
SNE: Signed Network Embedding
Probabilistic Matrix Factorization Leveraging Contexts for Unsupervised Relation Extraction
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I
Incrementally Mining Recently Repeating Patterns over Data Streams
Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation
Video Quality Prediction over Wireless 4G
Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe)
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing
MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks
Rule-Based Collaborative Learning with Heterogeneous Local Learning Models
Image Classification Via LZ78 Based String Kernel: A Comparative Study
OMC-IDS: At the Cross-Roads of OLAP Mining and Intrusion Detection
An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix
A Lazy Model-Based Algorithm for On-Line Classification
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content
Twin Bridge Transfer Learning for Sparse Collaborative Filtering
An Instance Selection Algorithm Based on Reverse Nearest Neighbor
Association Rules in Incomplete Databases
Informed Augmentation Selection Improves Tabular Contrastive Learning
TRIPPER: Rule Learning Using Taxonomies
Stock Price Prediction Using Graph Attention Networks with Sentiment Analysis
Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets
Efficient Pattern Mining of Uncertain Data with Sampling
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
Unsupervised Keyphrase Prediction: Methods and Evaluation
Multi-level Rule Discovery from Propositional Knowledge Bases
Volatility Adaptive Classifier System
Spectral Decomposition for Optimal Graph Index Prediction
Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases
Mining Interesting Imperfectly Sporadic Rules
Learning User Purchase Intent from User-Centric Data
Cloud Application for the Generation of Static Websites Through the Recognition of Wireframes using Artificial Intelligence
Teaching strategies and acquisition of research skills in university students
Educational Robotics in Action: Development of a Line-Following Robot through STEAM Methodology to Address Traffic Issues
Robotics in First Year Engineering Students: An Experience in Learning Concepts of Linear Motion
Use and Design of Virtual and Remote Free Access Experiments: World Pendulum Alliance and DLab in Times of COVID 19
Production Model of Virtual Reality Learning Environments
Interest in Scientific and Technological Careers in Peruvian School Students
Steam Learning for the Development of Scientific Skills in Infants
Algebra, Geometry, Number Theory, and Combinatorics to Identify Factors Influencing Mathematical Achievement: a Pilot Study of the First Mathematics Contest in a Peruvian University
Predictive Factors of Electronic Word of Mouth (eWOM) Intention Among University Students
Smartphone in school physics: a case study for the experimental obtaining of the acceleration of gravity in the analysis of a spring through a didactic approach
Proceedings of the International Congress on Educational and Technology in Sciences, Chiclayo, Peru, November 16-18, 2021
Design and Implementation of an Integrated Academic Management Model with LMS: A Peruvian Private University Study Case
Methodology for the Development of Potentially Innovative Technological Projects
What is new in teaching science structured around the notion of 'scientific competence'?
Meaningful Learning of University Students about the Normal Curvature of the Implicitly given Gyperbolic Paraboloid Based on GeoGebra
Logical Positivism and its Contributions to Science Teachers Education
Virtual Platforms under University Teaching During the COVID-19 Pandemic in Peru: Perception of University Students
Use of narratives on scientific experiments in the teaching of redox reactions in secondary education
Development and Validation of a Gamified Videogame for Math Learning in Attention Deficit Hyperactivity Disorder Children (ADHD)
Analysis of the Mathematical errors of first cycle students of the National University of Piura
Systematic Review: State of Knowledge on Learning Difficulties and Teaching Strategies in Linear Algebra
Teaching Experience on the Impacts of COVID-19: Opportunities to Update the Teaching and Learning Process of Bioethics and Scientific Integrity in Human Medicine in Peru
STEAM: Methodology to Promote Sustainable Development in the New Mexican School
Identification of strategic activities in the process of adoption of the methodology by cases applied to the students of the accounting course for the improvement of their academic performance, Arequipa, 2019
Methodology Applying PBL and ICT as a Didactic Teaching Strategy for the Design of Vertical Circulation Cores in Hybrid Buildings
Didactic Sequence for the development of variational thinking of university engineering students
Virtual Reality and 3D Printing in Architectural Design. Case study: the Conceptual Model
Use of Data Mining to Identify Preferences for Humanistic Courses and Support the Management of University Extension of the Autonomous University of Aguascalientes
Examining the role of STEM in Twelfth-grade Robot Subject Instruction using the UTAUT model
Application of Augmented Reality for the Development of Skills in the Communication Area
Evaluation of Brain Attention Levels Using Arduino and Neurosky Mindwave EEG According to Age and Sex
Validation of the Digital Teaching Competence Questionnaire (COMDID-A) in the Mexican context
An Analysis of Final Grades in a Mathematics Course for the Enhancement of Upcoming Engineering Students' Academic Performance by Using Multivariate Statistical Techniques
Proceedings of the International Congress on Education and Technology in Sciences, Zacatecas, Mexico, December 04-06, 2023
Exploring Visual Creativity and Its Dimensions in Students of Online Training Program
Design and Implementation of a Virtual Laboratory for Electromagnetics Teaching in Engineering
Modification of Scientific Skills through a Robotics Ecology Program
Teaching and Learning TRIZ as an Innovative Educational Technology: A Systematic Literature Review
Intelligent Personalized Learning Management Model using the Case-Based Reasoning Techniques
Raising Awareness in the Adoption of COVID-19 Preventive Measures in Higher Education Students Through an Epidemiological Surveillance Mobile App
How to teach mathematics and experimental sciences? Solving the inquiring versus transmission dilemma
Perception of Importance and Anxiety about Learning Statistics Among University Students in Lima
Developing Critical Thinking in a STEAM classroom
Search model of educational trends based on Data Mining techniques
Analysis from the Student Perspective on the Implementation of Learning Technologies in Mining Engineering
Assessing the impact of virtual reality on mathematics teaching in rural middle schools: A quasi-experimental approach
Evaluation of the Impact of Mentoring on the Development of Technological Tools of Women in the Textile Sector in High Andean Regions
White-Box Adversarial Attacks Against Sentiment-Analysis Models using an Aspect-Based Approach
Level 2 Augmented Reality System (PokePhy) to Complement Physics Subjects in a Private University in Lima, Peru
Developing Teachers' Didactic Analysis Competence by means of Problem-Posing
Role Play to Develop Oral Production of the English Language in Undergraduate Engineering Students
Design of a Prototype Mechatronic Wheelchair for People with Motor Disabilities
Digital Ecosystem Model for the Production of Mixed Reality Environments to Assist Senile Dementia Patients
Use of technologies for the production of texts with academic originality
Real-time Identification of the Emotional State in The Classroom to Improve the Teaching-learning Process
Proceedings of the International Congress on Educational and Technology in Sciences 2019, Arequipa, Peru, December 10-12, 2019
Representation of Series and Transforms in engineering subject, using a Web User Interface for GNU Octave
Effectiveness of the implementation of a web solution in the evaluation of emergency obstetric hemorragy (red key)
Validation of the Learning Self-Regulation Questionnaire: The Peruvian Case
The Impact of Gamified Education on Children and Adolescents in STEAM Education as a future Teaching Methodology in Remote Areas of the Arequipa Region - Peru
The impact of the Strategic Learning Achievement Program in primary education students in Arequipa
Exploring Technological Education: An Augmented Reality Sandbox
Inclusive Virtual Reality in Education: Applying the STEAM Approach to Ease the Learning of Students with Disabilities
Development of Computational Approaches Towards a Proposal of Quantitative Biomarker Using LiTS and CHAOS Data for Hepatic Neoplasms
FracPotion: An Open Educational Game to Teach Fractions in Brazil
Self-Perception of Digital Competences Among Peruvian Teachers
Process Mining Model to Guarantee the Privacy of Personal Data in the Healthcare Sector
Predictive Model of Life Cycle Medical Care Services in Peruvian Health Private Entities
Decision-making in the forum of distance Master of Project Management
Predictive Model for Assigning Exercises to Students in Spreadsheet Functions Using Artificial Neural Networks
Sentiment Analysis in the Feedback of Peer Evaluation Activities
Levels of Information Literacy and its Influence in Reciprocal Teaching in Communication Sciences Students
Design of a VR Application Based on Cognitive Load Human Movement Effect to Aid Basic Programming
ICTs as a Means to Incite Bullying, Hatred and Crime
Predicting Academic Performance in a Subject Using Classifier Algorithms
Modification of Mathematical Cognitive Demand with Disruptive Gamification Methods Using Video Games in Schoolchildren Affected by Covid-19
IoT to Monitor Native Potato Crops in the Apurímac Region, Peru
Perceptions of science teachers on its Pedagogical Content Knowledge (PCK)
Digital Transformation in Education Sector Using Virtual Reality with Cardboard: A Systematic Review
Statistical Sense in the Information Society
Design and implementation of Mix Reality at Technological Institute of Zitacuaro
Understanding Block-based Code with Preservice Mathematics Teachers
Exploratory Analysis of Using Gamification in Software Engineering Education
A Mathematica Package for Graphing Equations and Inequalities in Non-rectangular Coordinate Systems
Use of Technology in Childcare Centers for Ages 0 to 3 in Northeastern Mexico: Results of Quality Measurement
Collaborative Learning Using Git with GitLab in Students of the Engineering Programming Course
Application of Arduino UNO Technology in the Creation of Interactive Educational Robots as a Teaching Resource for Secondary Level Teachers
An environmental Atlas as a tool for improving local environmental education and awareness in Arequipa
Using Virtual Reality to Facing Didactic Obstacles in Engineering Education