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Machine Learning and Knowledge Extraction, Volume 6
Volume 6, Number 1, March 2024
- Devang Mehta
, Noah Klarmann
Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control. 1-17 - Abhijeet Kumar
Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring. 18-40 - Kuangsheng Cai, Zugang Chen
An Evaluative Baseline for Sentence-Level Semantic Division. 41-52 - Adnan Alagic, Natasa Zivic
Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data. 53-77 - Jorge Blanco Prieto
A Data Mining Approach for Health Transport Demand. 78-97 - Jennifer Werner
Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics. 98-125 - Didier Gohourou
Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis. 126-142 - Mustafa Pamuk
What Do the Regulators Mean? A Taxonomy of Regulatory Principles for the Use of AI in Financial Services. 143-155 - Abdulkarim Faraj Alqahtani, Mohammad Ilyas:
An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying. 156-170 - Mohammadali Fallahian
GAN-Based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions. 171-198 - Sophie Zentner, Alberto Barradas Chacon, Selina C. Wriessnegger
The Impact of Light Conditions on Neural Affect Classification: A Deep Learning Approach. 199-214 - Liang Luo, George K. Stylios
Algorithmic Information Theory for the Precise Engineering of Flexible Material Mechanics. 215-232 - Maximilian Lowin
A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models. 233-258 - Nhut Huynh, Kim-Doang Nguyen
Real-Time Droplet Detection for Agricultural Spraying Systems: A Deep Learning Approach. 259-282 - Audris Arzovs, Janis Judvaitis
Distributed Learning in the IoT-Edge-Cloud Continuum. 283-315 - Mailson Ribeiro Santos, Luiz Affonso Guedes
SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis. 316-341 - Ekaterina Novozhilova
More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. 342-366 - Fouad Trad
Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models. 367-384 - Shira Nemirovsky-Rotman, Eyal Bercovich:
Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging. 385-401 - Yuxin Cong, Toshiyuki Motohashi, Koki Nakao, Shinya Inazumi
Machine Learning Predictive Analysis of Liquefaction Resistance for Sandy Soils Enhanced by Chemical Injection. 402-419 - Musacchio Nicoletta, Rita Zilich
Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control. 420-434 - Sabrina Djeradi, Tahar Dahame, Mohamed Abdelilah Fadla, Bachir Bentria, Mohammed Benali Kanoun
High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber. 435-447 - Subhayu Dutta
VisFormers - Combining Vision and Transformers for Enhanced Complex Document Classification. 448-463 - Mohammed G. Alsubaie
Alzheimer's Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review. 464-505 - Enqi Ma
Refereeing the Sport of Squash with a Machine Learning System. 506-553 - Cezary Maszczyk
Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions. 554-579 - Stephen Fox, Vítor Fortes Rey:
Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges. 580-592 - Danial Hooshyar
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education. 593-618 - Loay Hassan
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. 619-641 - Heesung Shim
Enhancing Docking Accuracy with PECAN2, a 3D Atomic Neural Network Trained without Co-Complex Crystal Structures. 642-657 - Soma Onishi
Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm? 658-678 - Leandra Lukomski, Juan I. Pisula, Naita Wirsik, Alexander Damanakis, Jin-On Jung, Karl Knipper, Rabi R. Datta, Wolfgang Schröder
Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer. 679-698 - Foziya Ahmed Mohammed, Kula Kekeba Tune
Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature. 699-736
Volume 6, Number 2, June 2024
- Lucileide M. D. Da Silva
A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm. 736-750 - Tan-Hanh Pham
Soil Sampling Map Optimization with a Dual Deep Learning Framework. 751-769 - Dina A. Alabbad, Shahad Y. Ajibi, Raghad B. Alotaibi, Noura K. Alsqer, Rahaf A. Alqahtani, Noor M. Felemban, Atta Rahman
Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach. 770-788 - Faith Nwokoma, Justin Foreman
Effective Data Reduction Using Discriminative Feature Selection Based on Principal Component Analysis. 789-799 - Richard Vogel
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts. 800-826 - Seifollah Gholampour
Impact of Nature of Medical Data on Machine and Deep Learning for Imbalanced Datasets: Clinical Validity of SMOTE Is Questionable. 827-841 - Michail Kaseris
A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition. 842-876 - Bola Abimbola
Enhancing Legal Sentiment Analysis: A Convolutional Neural Network-Long Short-Term Memory Document-Level Model. 877-897 - Manja Mai-Ly Pfaff-Kastner
Concept Paper for a Digital Expert: Systematic Derivation of (Causal) Bayesian Networks Based on Ontologies for Knowledge-Based Production Steps. 898-916 - Xuejia Du
A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects. 917-943 - Pablo Rivas
Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats. 944-964 - Jinzhao Tian
VOD: Vision-Based Building Energy Data Outlier Detection. 965-986 - Fahad A. Alghamdi
Multilayer Perceptron Neural Network with Arithmetic Optimization Algorithm-Based Feature Selection for Cardiovascular Disease Prediction. 987-1008 - Maya Cendana
Categorical Data Clustering: A Bibliometric Analysis and Taxonomy. 1009-1054 - Chihcheng Hsieh
EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion. 1055-1071 - Robin Ströbel
Improving Time Series Regression Model Accuracy via Systematic Training Dataset Augmentation and Sampling. 1072-1086 - Ding Li
Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI. 1087-1113 - Daswin De Silva
The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions. 1114-1125 - Elizabeth Hofer
Locally-Scaled Kernels and Confidence Voting. 1126-1144 - Florian Jürgen Raimann
Evaluation of AI ChatBots for the Creation of Patient-Informed Consent Sheets. 1145-1153 - Galiya Anarbekova
Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan. 1154-1169 - Teodor Chiaburu, Frank Haußer
Uncertainty in XAI: Human Perception and Modeling Approaches. 1170-1192 - Swati Rastogi
Design and Implementation of a Self-Supervised Algorithm for Vein Structural Patterns Analysis Using Advanced Unsupervised Techniques. 1193-1209 - Lauren J. Wong
An Analysis of Radio Frequency Transfer Learning Behavior. 1210-1242 - Kristina Polotskaya
Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review. 1243-1262 - Maria Silvia Binetti
Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications. 1263-1280 - Tamás Katona
Advanced Multi-Label Image Classification Techniques Using Ensemble Methods. 1281-1297 - Thomas Welchowski
Interaction Difference Hypothesis Test for Prediction Models. 1298-1322 - Melina Tziomaka
Extracting Interpretable Knowledge from the Remote Monitoring of COVID-19 Patients. 1323-1342 - Daniel M. Goldstein, Chris Aldrich
A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data. 1343-1360 - Ivan P. Malashin
Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports. 1361-1377 - Johannes Allgaier
Cross-Validation Visualized: A Narrative Guide to Advanced Methods. 1378-1388
Volume 6, Number 3, September 2024
- Sergio de la Mata Moratilla
Prediction of the Behaviour from Discharge Points for Solid Waste Management. 1389-1412 - Zoi Lygizou, Dimitris Kalles
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms. 1413-1438 - Dominik Vranay
Using Segmentation to Boost Classification Performance and Explainability in CapsNets. 1439-1465 - Jonghyun Choi, Sung Kyu Jang
Motor PHM on Edge Computing with Anomaly Detection and Fault Severity Estimation through Compressed Data Using PCA and Autoencoder. 1466-1483 - Iraj Moghaddasi, Byeong-Gyu Nam:
Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing. 1484-1493 - Stephen Fox, Vítor Fortes Rey:
A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability. 1494-1509 - Marie Stelter
Learning Experiences and Didactic Needs of German Healthcare Professions: A Focus Group Study for the Design of Personalized Interprofessional Further Education in Dementia Healthcare. 1510-1530 - Eyal Betzalel
Evaluation Metrics for Generative Models: An Empirical Study. 1531-1544 - Maisha Binte Rashid
Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures. 1545-1563 - Pierfrancesco Novielli
Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming. 1564-1578 - Sárka Mikmeková, Martin Zouhar
Deep Learning-Powered Optical Microscopy for Steel Research. 1579-1596 - Giulio Barletta
Learning Effective Good Variables from Physical Data. 1597-1618 - Fabio Batista Mota, Luiza Amara Maciel Braga
Examining the Global Patent Landscape of Artificial Intelligence-Driven Solutions for COVID-19. 1619-1632 - Efrain Noa-Yarasca
Extending Multi-Output Methods for Long-Term Aboveground Biomass Time Series Forecasting Using Convolutional Neural Networks. 1633-1652 - Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martinez-Cortes, Antonio-Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante:
Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission. 1653-1666 - Robertas Damasevicius
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. 1667-1669 - Ekaterina Novozhilova
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". 1670-1672 - Ray-I Chang
Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning. 1673-1698 - Lauren J. Wong
Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation. 1699-1719 - Mustafa Pamuk
Towards AI Dashboards in Financial Services: Design and Implementation of an AI Development Dashboard for Credit Assessment. 1720-1761 - Christina Markopoulou, George Papageorgiou
Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues. 1762-1781 - Mengmeng Liu, Gopal Srivastava, J. Ramanujam
Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet. 1782-1797 - Seyum Abebe, Irene Poli, Roger D. Jones
Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning. 1798-1817 - Duaa Mohammad Alawad, Ataur Katebi, Md. Tamjidul Hoque
Enhanced Graph Representation Convolution: Effective Inferring Gene Regulatory Network Using Graph Convolution Network with Self-Attention Graph Pooling Layer. 1818-1839 - Ashutosh Ghimire
A Parallel Approach to Enhance the Performance of Supervised Machine Learning Realized in a Multicore Environment. 1840-1856 - Hakgeun Kim, Hyeongjin Kim, Kiweon Kang:
Accuracy Improvement of Debonding Damage Detection Technology in Composite Blade Joints for 20 kW Class Wind Turbine. 1857-1870 - Masoumeh Hashemi
Balancing Results from AI-Based Geostatistics versus Fuzzy Inference by Game Theory Bargaining to Improve a Groundwater Monitoring Network. 1871-1893 - Mohammed Elhenawy
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges. 1894-1921 - Darian M. Onchis
Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge. 1921-1935 - Sairoel Amertet, Girma Gebresenbet
Forecasting the Right Crop Nutrients for Specific Crops Based on Collected Data Using an Artificial Neural Network (ANN). 1936-1952 - Connor Maclean
Assessing Fine-Tuned NER Models with Limited Data in French: Automating Detection of New Technologies, Technological Domains, and Startup Names in Renewable Energy. 1953-1968 - Alexander Bott
Black Box Adversarial Reprogramming for Time Series Feature Classification in Ball Bearings' Remaining Useful Life Classification. 1969-1996 - Frank van Mourik, Annemarie Jutte
Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand? 1997-2017 - Carlos Martínez
Correlating Histopathological Microscopic Images of Creutzfeldt-Jakob Disease with Clinical Typology Using Graph Theory and Artificial Intelligence. 2018-2032 - Mateo Sokac
Graph Convolutional Networks for Predicting Cancer Outcomes and Stage: A Focus on cGAS-STING Pathway Activation. 2033-2048 - Lucas Rizzo
A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI. 2049-2073 - Vangelis Sarlis
A Data Science and Sports Analytics Approach to Decode Clutch Dynamics in the Last Minutes of NBA Games. 2074-2095 - Federico Pacini
Show Me Once: A Transformer-Based Approach for an Assisted-Driving System. 2096-2110 - Umar Subhan Malhi
Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning. 2111-2129 - Rashmi Nagpal, Ariba Khan
A Multi-Objective Framework for Balancing Fairness and Accuracy in Debiasing Machine Learning Models. 2130-2148
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last updated on 2024-12-11 20:33 CET by the dblp team
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