yusuke1997/dblp-id-title huggingface dataset:
A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition
A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization
Do We Need a Specific Corpus and Multiple High-Performance GPUs for Training the BERT Model? An Experiment on COVID-19 Dataset
Semi-Supervised Faster RCNN-Based Person Detection and Load Classification for Far Field Video Surveillance
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study
AIBH: Accurate Identification of Brain Hemorrhage Using Genetic Algorithm Based Feature Selection and Stacking
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
Node-Centric Pruning: A Novel Graph Reduction Approach
Why Topology for Machine Learning and Knowledge Extraction?
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
CRISP-NET: Integration of the CRISP-DM Model with Network Analysis
AE-DTNN: Autoencoder-Dense-Transformer Neural Network Model for Efficient Anomaly-Based Intrusion Detection Systems
Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition
A Probabilistic Transformation of Distance-Based Outliers
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation
Multimodal AutoML via Representation Evolution
VOD: Vision-Based Building Energy Data Outlier Detection
Real Quadratic-Form-Based Graph Pooling for Graph Neural Networks
Application of Bayesian Neural Networks in Healthcare: Three Case Studies
Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice
Multi-Label Classification with Optimal Thresholding for Multi-Composition Spectroscopic Analysis
Data Mining Algorithms for Operating Pressure Forecasting of Crude Oil Distribution Pipelines to Identify Potential Blockages
The Impact of Light Conditions on Neural Affect Classification: A Deep Learning Approach
A Novel Prediction Model for Multimodal Medical Data Based on Graph Neural Networks
Graph Convolutional Networks for Predicting Cancer Outcomes and Stage: A Focus on cGAS-STING Pathway Activation
Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder
Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review
Alzheimer's Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Acknowledgement to Reviewers of MAKE in 2019
Harnessing Large-Scale University Registrar Data for Predictive Insights: A Data-Driven Approach to Forecasting Undergraduate Student Success with Convolutional Autoencoders
Research on Forest Fire Detection Algorithm Based on Improved YOLOv5
Differentially Private Image Classification Using Support Vector Machine and Differential Privacy
Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability
Assessing the Robustness of Cluster Solutions in Emotionally-Annotated Pictures Using Monte-Carlo Simulation Stabilized K-Means Algorithm
Digit Recognition Based on Specialization, Decomposition and Holistic Processing
Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation
Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques
Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?
Machine Learning Applied to Professional Football: Performance Improvement and Results Prediction
Evaluation of AI ChatBots for the Creation of Patient-Informed Consent Sheets
Multimodal Deep Learning for Android Malware Classification
Reliable and Faithful Generative Explainers for Graph Neural Networks
Enhancing Consumer Agent Modeling Through Openness-Based Consumer Traits and Inverse Clustering
Fairness and Explanation in AI-Informed Decision Making
A Review of Large Language Models for Automated Test Case Generation
Impact of Nature of Medical Data on Machine and Deep Learning for Imbalanced Datasets: Clinical Validity of SMOTE Is Questionable
Reply to Damaševičius, R. Comment on "Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342-366"
NER in Archival Finding Aids: Extended
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
A Novel Spatio-Temporal Graph Convolutional Network with Attention Mechanism for PM2.5 Concentration Prediction
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph
Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales
Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)
The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions
A Hybrid Gradient Boosting and Neural Network Model for Predicting Urban Happiness: Integrating Ensemble Learning with Deep Representation for Enhanced Accuracy
A Survey of Deep Learning for Alzheimer's Disease
Learning Effective Good Variables from Physical Data
Effective Data Reduction Using Discriminative Feature Selection Based on Principal Component Analysis
On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps
Comparison of Imputation Methods for Missing Rate of Perceived Exertion Data in Rugby
Learnable Petri Net Neural Network Using Max-Plus Algebra
Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures
Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control
Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling
A Machine Learning Approach to Determine Oyster Vessel Behavior
SAC-NMF-Driven Graphical Feature Analysis and Applications
Using Segmentation to Boost Classification Performance and Explainability in CapsNets
Automatic Prompt Generation Using Class Activation Maps for Foundational Models: A Polyp Segmentation Case Study
Automatic Extraction of Medication Information from Cylindrically Distorted Pill Bottle Labels
Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions
A Study on Text Classification in the Age of Large Language Models
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection
Gradient-Based Neural Architecture Search: A Comprehensive Evaluation
A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data
MCTS-Based Policy Improvement for Reinforcement Learning
Empowering Brain Tumor Diagnosis through Explainable Deep Learning
Correlating Histopathological Microscopic Images of Creutzfeldt-Jakob Disease with Clinical Typology Using Graph Theory and Artificial Intelligence
Factorizable Joint Shift in Multinomial Classification
Exploring the Intersection of Machine Learning and Big Data: A Survey
Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
Entropic Statistics: Concept, Estimation, and Application in Machine Learning and Knowledge Extraction
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps
Human Action Recognition-Based IoT Services for Emergency Response Management
Learning to Teach Reinforcement Learning Agents
Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification
Extending Multi-Output Methods for Long-Term Aboveground Biomass Time Series Forecasting Using Convolutional Neural Networks
Lottery Ticket Structured Node Pruning for Tabular Datasets
Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
Thrifty World Models for Applying Machine Learning in the Design of Complex Biosocial-Technical Systems
Using Machine Learning with Eye-Tracking Data to Predict if a Recruiter Will Approve a Resume
Large Scale Fault Data Analysis and OSS Reliability Assessment Based on Quantification Method of the First Type
Enhancing Docking Accuracy with PECAN2, a 3D Atomic Neural Network Trained without Co-Complex Crystal Structures
Harnessing Language Models for Studying the Ancient Greek Language: A Systematic Review
A Transfer Learning Evaluation of Deep Neural Networks for Image Classification
Enhancing Domain-Specific Supervised Natural Language Intent Classification with a Top-Down Selective Ensemble Model
Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction
Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning
Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites
Canopy Height Estimation at Landsat Resolution Using Convolutional Neural Networks
Privacy and Trust Redefined in Federated Machine Learning
Category Maps Describe Driving Episodes Recorded with Event Data Recorders
VLA-SMILES: Variable-Length-Array SMILES Descriptors in Neural Network-Based QSAR Modeling
Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats
Analysing Semi-Supervised ConvNet Model Performance with Computation Processes
Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition
Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues
Model Selection Criteria on Beta Regression for Machine Learning
Analysis of Machine Learning Algorithms for Opinion Mining in Different Domains
Understand Daily Fire Suppression Resource Ordering and Assignment Patterns by Unsupervised Learning
Stitching History into Semantics: LLM-Supported Knowledge Graph Engineering for 19th-Century Greek Bookbinding
Detecting Adversarial Examples Using Surrogate Models
Automatic Genre Identification for Robust Enrichment of Massive Text Collections: Investigation of Classification Methods in the Era of Large Language Models
Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes
Exploring the Eating Disorder Examination Questionnaire, Clinical Impairment Assessment, and Autism Quotient to Identify Eating Disorder Vulnerability: A Cluster Analysis
An End-to-End Adaptive Method for Remaining Useful Life Prediction of Rolling Bearings Using Time-Frequency Image Features
Synthetic Data Generation for Visual Detection of Flattened PET Bottles
Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports
Alzheimer's Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Explainable Stacked Ensemble Deep Learning (SEDL) Framework to Determine Cause of Death from Verbal Autopsies
The Case of Aspect in Sentiment Analysis: Seeking Attention or Co-Dependency?
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1 - Fundamentals and Applications in Games, Robotics and Natural Language Processing
Early Thyroid Risk Prediction by Data Mining and Ensemble Classifiers
A Novel Pipeline Age Evaluation: Considering Overall Condition Index and Neural Network Based on Measured Data
Evaluating the Coverage and Depth of Latent Dirichlet Allocation Topic Model in Comparison with Human Coding of Qualitative Data: The Case of Education Research
Analysis of Personality and EEG Features in Emotion Recognition Using Machine Learning Techniques to Classify Arousal and Valence Labels
Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning
Claim Consistency Checking Using Soft Logic
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2 - Applications in Transportation, Industries, Communications and Networking and More Topics
Developing a Novel Fair-Loan Classifier through a Multi-Sensitive Debiasing Pipeline: DualFair
Extracting Interpretable Knowledge from the Remote Monitoring of COVID-19 Patients
Machine Learning Product Line Engineering: A Systematic Reuse Framework
Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data
Improving Spiking Neural Network Performance with Auxiliary Learning
Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset
Transformer-Driven Fault Detection in Self-Healing Networks: A Novel Attention-Based Framework for Adaptive Network Recovery
Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss
When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts
Prospective Neural Network Model for Seismic Precursory Signal Detection in Geomagnetic Field Records
An Analysis of Radio Frequency Transfer Learning Behavior
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors
Improving Time Series Regression Model Accuracy via Systematic Training Dataset Augmentation and Sampling
Proposing an Ontology Model for Planning Photovoltaic Systems
Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer
Towards Knowledge Uncertainty Estimation for Open Set Recognition
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches
3t2FTS: A Novel Feature Transform Strategy to Classify 3D MRI Voxels and Its Application on HGG/LGG Classification
Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
Deep Learning-Powered Optical Microscopy for Steel Research
Benchmarking with a Language Model Initial Selection for Text Classification Tasks
Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation
High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber
The Predictive Value of Data from Virtual Investment Communities
Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks
A Multi-Input Machine Learning Approach to Classifying Sex Trafficking from Online Escort Advertisements
Comparing the Performance of Machine Learning Algorithms in the Automatic Classification of Psychotherapeutic Interactions in Avatar Therapy
Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections
SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm
Evidence-Based Regularization for Neural Networks
Evaluating the Role of Machine Learning in Defense Applications and Industry
Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification
Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan
Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization
GAN-Based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet
Defining Data Science by a Data-Driven Quantification of the Community
A Review of the Role of Machine Learning Techniques towards Brain-Computer Interface Applications
SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets
Categorical Data Clustering: A Bibliometric Analysis and Taxonomy
On the Scale Invariance in State of the Art CNNs Trained on ImageNet
A CNN-BiLSTM Model for Document-Level Sentiment Analysis
Show Me Once: A Transformer-Based Approach for an Assisted-Driving System
Forecasting the Right Crop Nutrients for Specific Crops Based on Collected Data Using an Artificial Neural Network (ANN)
Counterfactual Models for Fair and Adequate Explanations
Semantic Predictive Coding with Arbitrated Generative Adversarial Networks
An Evaluative Baseline for Sentence-Level Semantic Division
AI-Driven Intelligent Financial Forecasting: A Comparative Study of Advanced Deep Learning Models for Long-Term Stock Market Prediction
Long-Range Bird Species Identification Using Directional Microphones and CNNs
Sensor Fusion for Occupancy Estimation: A Study Using Multiple Lecture Rooms in a Complex Building
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures
Achievable Minimally-Contrastive Counterfactual Explanations
Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression
Exploiting Weak Ties in Incomplete Network Datasets Using Simplified Graph Convolutional Neural Networks
Entropy-Aware Time-Varying Graph Neural Networks with Generalized Temporal Hawkes Process: Dynamic Link Prediction in the Presence of Node Addition and Deletion
Unsupervised Word Sense Disambiguation Using Transformer's Attention Mechanism
Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging
EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion
Social Intelligence Mining: Unlocking Insights from X
Gender Recognition by Voice using an Improved Self-Labeled Algorithm
Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations
Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence
A Survey of Machine Learning-Based Solutions for Phishing Website Detection
A Novel Heterogeneous Swarm Reinforcement Learning Method for Sequential Decision Making Problems
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts
Capsule Network with Its Limitation, Modification, and Applications - A Survey
Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods
Diversifying Multi-Head Attention in the Transformer Model
The Importance of Loss Functions for Increasing the Generalization Abilities of a Deep Learning-Based Next Frame Prediction Model for Traffic Scenes
Analyzing Quality Measurements for Dimensionality Reduction
Semantic Image Segmentation Using Scant Pixel Annotations
An Assessment of the Application of Private Aggregation of Ensemble Models to Sensible Data
Geometric Reasoning in the Embedding Space
On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning
Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission
Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures
Electrical Storm Optimization (ESO) Algorithm: Theoretical Foundations, Analysis, and Application to Engineering Problems
Algorithmic Information Theory for the Precise Engineering of Flexible Material Mechanics
A Hybrid Artificial Neural Network to Estimate Soil Moisture Using SWAT+ and SMAP Data
Review on Learning and Extracting Graph Features for Link Prediction
Automatic Electronic Invoice Classification Using Machine Learning Models
A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability
Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation
CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
Bayesian Network Structural Learning Using Adaptive Genetic Algorithm with Varying Population Size
Mssgan: Enforcing Multiple Generators to Learn Multiple Subspaces to Avoid the Mode Collapse
Benefits from Variational Regularization in Language Models
Defining a Digital Twin: A Data Science-Based Unification
Interaction Difference Hypothesis Test for Prediction Models
Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations
An Algorithm for Generating Invisible Data Poisoning Using Adversarial Noise That Breaks Image Classification Deep Learning
FCIoU: A Targeted Approach for Improving Minority Class Detection in Semantic Segmentation Systems
Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
Motor PHM on Edge Computing with Anomaly Detection and Fault Severity Estimation through Compressed Data Using PCA and Autoencoder
Introduction to Survival Analysis in Practice
ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation
Hierarchy-Based File Fragment Classification
Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge
Screening Smarter, Not Harder: Budget Allocation Strategies for Technology-Assisted Reviews (TARs) in Empirical Medicine
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM
Attributed Relational SIFT-Based Regions Graph: Concepts and Applications
Helmet Detection in Underground Coal Mines via Dynamic Background Perception with Limited Valid Samples
Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks
AML4S: An AutoML Pipeline for Data Streams
Triple Down on Robustness: Understanding the Impact of Adversarial Triplet Compositions on Adversarial Robustness
Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes
A Novel Feature Representation for Prediction of Global Horizontal Irradiance Using a Bidirectional Model
E2H Distance-Weighted Minimum Reference Set for Numerical and Categorical Mixture Data and a Bayesian Swap Feature Selection Algorithm
Active Learning in the Detection of Anomalies in Cryptocurrency Transactions
Towards AI Dashboards in Financial Services: Design and Implementation of an AI Development Dashboard for Credit Assessment
An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface
Ensemble Learning with Highly Variable Class-Based Performance
Concept Paper for a Digital Expert: Systematic Derivation of (Causal) Bayesian Networks Based on Ontologies for Knowledge-Based Production Steps
Multilayer Perceptron Neural Network with Arithmetic Optimization Algorithm-Based Feature Selection for Cardiovascular Disease Prediction
Maximising Synergy: The Benefits of a Joint Implementation of Knowledge Management and Artificial Intelligence System Standards
Special Issue "Selected Papers from CD-MAKE 2020 and ARES 2020"
Continual Semi-Supervised Malware Detection
Towards Image Classification with Machine Learning Methodologies for Smartphones