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ORCIDMachine Learning and Knowledge Extraction, Volume 7
Volume 7, Number 1, 2024
- Freddie Liu, Gizem Nur Karagoz
, Nirvana Meratnia:
Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification. 1 - Jose Ramón Navarro-Cerdán, Vicent Ortiz Castelló, David Millán Escrivá:
Comparison of Off-the-Shelf Methods and a Hotelling Multidimensional Approximation for Data Drift Detection. 2
Volume 7, Number 1, 2025
- Agus Riyadi, Máté Kovács, Uwe Serdült, Victor V. Kryssanov:
Benchmarking with a Language Model Initial Selection for Text Classification Tasks. 3 - Gregorius Airlangga, Alan Liu:
A Hybrid Gradient Boosting and Neural Network Model for Predicting Urban Happiness: Integrating Ensemble Learning with Deep Representation for Enhanced Accuracy. 4 - Stephen Fox, Antonio Ricciardo:
Better than Trees: Applying Semilattices to Balance the Accuracy and Complexity of Machine Learning Models. 5 - Charithea Stylianides, Andria Nicolaou, Waqar A. Sulaiman, Christina-Athanasia I. Alexandropoulou, Ilias E. Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Elena Politi, Dimitris Ntalaperas, Xanthi S. Papageorgiou, Fransisco Garcia, Zinonas C. Antoniou, Nikos Ioannides, Lakis Palazis, Anna Vavlitou, Marios S. Pattichis, Constantinos S. Pattichis, Andreas S. Panayides:
AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview. 6 - Nicolas Douard, Ahmed Samet, Georgios K. Giakos, Denis Cavallucci:
Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation. 7 - Walaa Abuasaker, Mónica Sánchez, Jennifer Nguyen, Nil Agell, Núria Agell, Francisco Javier Ruiz:
A Comparative Analysis of European Media Coverage of the Israel-Gaza War Using Hesitant Fuzzy Linguistic Term Sets. 8 - Brahim Benaissa, Masakazu Kobayashi, Hiroshi Takenouchi:
Enhancing Consumer Agent Modeling Through Openness-Based Consumer Traits and Inverse Clustering. 9 - Radu Ion, Vasile Pais, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Valentin Badea, Dan Tufis:
Unsupervised Word Sense Disambiguation Using Transformer's Attention Mechanism. 10 - Angelos Tsiannis, Christodoulos Efstathiades:
Towards Predicting Basketball Player Positions with Transformative Insights. 11 - Mohammad Ennab, Hamid Mcheick:
Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models. 12 - Elias Dritsas, Maria Trigka:
Exploring the Intersection of Machine Learning and Big Data: A Survey. 13 - Sander Joos, Tim Van hamme, Willem Verheyen, Davy Preuveneers, Wouter Joosen:
Triple Down on Robustness: Understanding the Impact of Adversarial Triplet Compositions on Adversarial Robustness. 14 - Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems. 15 - Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubský, Cleo-Aron Weis:
Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs. 16 - José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos:
Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data. 17 - Matthijs J. Warrens, Alexandra de Raadt, Roel J. Bosker, Henk A. L. Kiers:
Weighted Kappa for Interobserver Agreement and Missing Data. 18 - Vahid Khalkhali, Sayed Mehedi Azim, Iman Dehzangi:
ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation. 19 - Kianeh Kandi, Antonio García Dopico:
Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms. 20 - Mantas Bacevicius, Agne Paulauskaite-Taraseviciene, Gintare Zokaityte, Lukas Kersys, Agne Moleikaityte:
Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement. 21 - Hanna Borgli, Håkon Kvale Stensland, Pål Halvorsen:
Automatic Prompt Generation Using Class Activation Maps for Foundational Models: A Polyp Segmentation Case Study. 22 - James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard:
Multimodal Deep Learning for Android Malware Classification. 23 - Manuel Soto Calvo, Han Soo Lee:
Electrical Storm Optimization (ESO) Algorithm: Theoretical Foundations, Analysis, and Application to Engineering Problems. 24 - Mohsen Nokhodchian, Mohammad Hossein Moattar, Mehrdad Jalali:
SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm. 25 - Moheb Yacoub, Moataz Abdelwahab, Kazuo Shiokawa, Ayman Mahrous:
Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence. 26
Volume 7, Number 2, 2025
- Sorin Marius Pavel, Simona Moldovanu, Dorel Aiordachioaie:
On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning. 27 - Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Susnjak:
Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation. 28 - Suset Vázquez-Aveledo, Rosenberg J. Romero, Lorena Díaz-González, Moisés Montiel-González, Jesús Cerezo:
Optimizing a Double Stage Heat Transformer Performance by Levenberg-Marquardt Artificial Neural Network. 29 - Bhupender Kumar, Navsal Kumar, Rabee Rustum, Vijay Shankar:
Comparative Analysis of Machine Learning Techniques for Predicting Bulk Specific Gravity in Modified Asphalt Mixtures Incorporating Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), and Polyvinyl Chloride (PVC). 30 - Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad, Ilias Politis, Nikolaos Pitropakis:
Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques. 31 - Tamara El Hajjar, Mohammed Lansari, Reda Bellafqira, Gouenou Coatrieux, Katarzyna Kapusta, Kassem Kallas:
RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup. 32 - Jinglei Pei, Yang Zhang, Ting Liu, Jingbin Yang, Qinghua Wu, Kang Qin:
ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs. 35 - Ying Yin, Yijun Shao, Phillip Ma, Qing Zeng-Treitler, Stuart J. Nelson:
Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes. 36 - Max Klein, Niklas Dormagen, Lukas Wimmer, Markus H. Thoma, Mike Schwarz:
Advancing Particle Tracking: Self-Organizing Map Hyperparameter Study and Long Short-Term Memory-Based Outlier Detection. 37 - Ramandeep Singh Dehal, Mehak Sharma, Enayat Rajabi:
Knowledge Graphs and Their Reciprocal Relationship with Large Language Models. 38 - Mohit Gupta, Chialing Wei, Thomas Czerniawski, Ricardo Eiris:
PIDQA - Question Answering on Piping and Instrumentation Diagrams. 39
Volume 7, Number 3, 2025
- Bedir Tekinerdogan:
Machine Learning Product Line Engineering: A Systematic Reuse Framework. 58 - Dimitrios Doumanas, Efthalia Ntalouka, Costas Vassilakis, Manolis Wallace, Konstantinos Kotis:
Stitching History into Semantics: LLM-Supported Knowledge Graph Engineering for 19th-Century Greek Bookbinding. 59 - Bernardo Campos Diocaretz, Ágota Tüzesi, Andrei Herdean:
A Simple Yet Powerful Hybrid Machine Learning Approach to Aid Decision-Making in Laboratory Experiments. 60 - Sira Yongchareon:
AI-Driven Intelligent Financial Forecasting: A Comparative Study of Advanced Deep Learning Models for Long-Term Stock Market Prediction. 61 - Zoja Anzur, Klara Zinkovic, Junos Lukan, Pietro Barbiero, Gasper Slapnicar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Lustrek, Marc Langheinrich:
A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. 62 - Alessia D'Ercole, Gianluigi Me:
A Novel Approach to Company Bankruptcy Prediction Using Convolutional Neural Networks and Generative Adversarial Networks. 63 - Guangfu Wang, Dazhi Sun, Hao Li, Jian Cheng, Pengpeng Yan, Heping Li:
Helmet Detection in Underground Coal Mines via Dynamic Background Perception with Limited Valid Samples. 64 - Tho Cao Phan, Viet Dinh Le, Teron Nguyen:
Application of Dueling Double Deep Q-Network for Dynamic Traffic Signal Optimization: A Case Study in Danang City, Vietnam. 65 - Babak Rahi, Deniz Sagmanli, Felix Oppong, Direnc Pekaslan, Isaac Triguero:
Generalising Stock Detection in Retail Cabinets with Minimal Data Using a DenseNet and Vision Transformer Ensemble. 66 - Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro:
Transformer-Driven Fault Detection in Self-Healing Networks: A Novel Attention-Based Framework for Adaptive Network Recovery. 67 - Nikos Tsourakis:
Towards Robust Synthetic Data Generation for Simplification of Text in French. 68 - Yuxin Cong, Arisa Katsuumi, Shinya Inazumi:
Prediction of Bearing Layer Depth Using Machine Learning Algorithms and Evaluation of Their Performance. 69 - Jun He, Zhanqi Li, Linzi Yin:
An Efficient and Accurate Random Forest Node-Splitting Algorithm Based on Dynamic Bayesian Methods. 70 - Diamanto Tzanoulinou, Loukas Triantafyllopoulos, Vassilios S. Verykios:
Harnessing Language Models for Studying the Ancient Greek Language: A Systematic Review. 71 - Aron E. Owen, Jonathan C. Roberts:
VisRep: Towards an Automated, Reflective AI System for Documenting Visualisation Design Processes. 72 - Ahmed Ibrahim, Abdullah Khalili, Maryam Arabi, Aamenah Sattar, Abdullah Hosseini, Ahmed Serag:
MERA: Medical Electronic Records Assistant. 73 - Ahmmad O. M. Saleh, Gokhan Tur, Yücel Saygin:
SG-RAG MOT: SubGraph Retrieval Augmented Generation with Merging and Ordering Triplets for Knowledge Graph Multi-Hop Question Answering. 74 - Maria Revythi, Georgia Koukiou:
Quantum Machine Learning and Deep Learning: Fundamentals, Algorithms, Techniques, and Real-World Applications. 75 - Changhyoun Park:
Significance of Time-Series Consistency in Evaluating Machine Learning Models for Gap-Filling Multi-Level Very Tall Tower Data. 76 - Sharaf Rashid, Edson R. Bollis, Lucas F. A. O. Pellicer, Darian Rabbani, Rafael Palacios, Aneesh Gupta, Amar Gupta:
Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models. 77 - Hesham Kamal, Maggie Mashaly:
AE-DTNN: Autoencoder-Dense-Transformer Neural Network Model for Efficient Anomaly-Based Intrusion Detection Systems. 78 - Young Lee, Syeda Jannatul Boshra, Jeong Yang, Zechun Cao, Gongbo Liang:
Machine Learning-Based Vulnerability Detection in Rust Code Using LLVM IR and Transformer Model. 79 - Mohammad Erfan Shoorangiz, Michal Brylinski:
Harnessing Large-Scale University Registrar Data for Predictive Insights: A Data-Driven Approach to Forecasting Undergraduate Student Success with Convolutional Autoencoders. 80 - Zakhar Ostrovskyi, Oleksander Barmak, Pavlo Radiuk, Iurii Krak:
Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization. 81 - Matthew Sheculski, Amedeo D'Angiulli:
Multilayer Perceptron Mapping of Subjective Time Duration onto Mental Imagery Vividness and Underlying Brain Dynamics: A Neural Cognitive Modeling Approach. 82 - Stephen Fox, Vítor Fortes Rey:
Thrifty World Models for Applying Machine Learning in the Design of Complex Biosocial-Technical Systems. 83 - Nicola Altini, Erica Lasaracina, Francesca Galeone, Michela Prunella, Vladimiro Suglia, Leonarda Carnimeo, Vito Triggiani, Daniele Ranieri, Gioacchino Brunetti, Vitoantonio Bevilacqua:
A Comparison Between Unimodal and Multimodal Segmentation Models for Deep Brain Structures from T1- and T2-Weighted MRI. 84 - Diego Moya, Christian Tipantuña, Génesis Villa, Xavier Calderón-Hinojosa, Belén Rivadeneira, Robin Álvarez:
Machine Learning Applied to Professional Football: Performance Improvement and Results Prediction. 85 - Alexander Hagg, Adam Gaier, Dominik Wilde, Alexander Asteroth, Holger Foysi, Dirk Reith:
Full Domain Analysis in Fluid Dynamics. 86 - Eleftherios Kalaitzidis, Themistoklis Diamantopoulos, Athanasios Michailoudis, Andreas L. Symeonidis:
AML4S: An AutoML Pipeline for Data Streams. 87 - Xin Guan, Xinyue Mo, Huan Li:
A Novel Spatio-Temporal Graph Convolutional Network with Attention Mechanism for PM2.5 Concentration Prediction. 88 - Aritra Kumar Lahiri, Qinmin Vivian Hu:
AlzheimerRAG: Multimodal Retrieval-Augmented Generation for Clinical Use Cases. 89 - Iman Seyedi Badeleh, Antonio Candelieri, Francesco Archetti:
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter. 90 - Leonid Legashev, Ivan Khokhlov, Irina Bolodurina, Alexander Shukhman, Svetlana Kolesnik:
Machine Learning Prediction Models of Beneficial and Toxicological Effects of Zinc Oxide Nanoparticles in Rat Feed. 91 - Lifeng Zhang, Teng Li, Hongyan Cui, Quan Zhang, Zijie Jiang, Jiadong Li, Roy E. Welsch, Zhongwei Jia:
A Novel Prediction Model for Multimodal Medical Data Based on Graph Neural Networks. 92 - David Mojzísek, Jan Hula, Jirí Janecek, David Herel, Mikolás Janota:
Geometric Reasoning in the Embedding Space. 93 - John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis:
A Dynamic Hypergraph-Based Encoder-Decoder Risk Model for Longitudinal Predictions of Knee Osteoarthritis Progression. 94 - Deliang Jin, Gang Chen, Shuo Feng, Yufeng Ling, Haoran Zhu:
Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments. 95 - Angkush Kumar Ghosh, A. M. M. Sharifu Ura:
Leveraging DNA-Based Computing to Improve the Performance of Artificial Neural Networks in Smart Manufacturing. 96 - Arda Celik, Qusay H. Mahmoud:
A Review of Large Language Models for Automated Test Case Generation. 97 - György Csippán, István Péter, Bálint Kövári, Tamás Bécsi:
MCTS-Based Policy Improvement for Reinforcement Learning. 98 - Jonnatan Arias-Garcia, Hernán F. García, Andrés Escobar-Mejía, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutiérrez:
Dynamic Graph Analysis: A Hybrid Structural-Spatial Approach for Brain Shape Correspondence. 99 - Mohammed Sharafath Abdul Hameed, Sofiene Lassoued, Andreas Schwung:
Learnable Petri Net Neural Network Using Max-Plus Algebra. 100 - Héctor Alejandro Acuña-Cid, Eduardo Ahumada-Tello, Óscar Omar Ovalle-Osuna, Richard Evans, Julia Elena Hernández-Ríos, Miriam Alondra Zambrano-Soto:
CRISP-NET: Integration of the CRISP-DM Model with Network Analysis. 101 - André Gifalli, Marco Akio Ikeshoji, Danilo Sinkiti Gastaldello, Victor Hideki Saito Yamaguchi, Welson Bassi, Talita Mazon, Floriano Torres Neto, Pedro da Costa da Costa Junior, André Nunes de Souza:
Exploiting the Feature Space Structures of KNN and OPF Algorithms for Identification of Incipient Faults in Power Transformers. 102 - Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma, Shin'ichi Konomi:
Leveraging LLMs for Automated Extraction and Structuring of Educational Concepts and Relationships. 103 - Giorgio Maria Di Nunzio:
Screening Smarter, Not Harder: Budget Allocation Strategies for Technology-Assisted Reviews (TARs) in Empirical Medicine. 104 - Mehdi Imani, Majid Joudaki, Ali Beikmohammadi, Hamid R. Arabnia:
Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning. 105 - Vitaly Schetinin, Livija Jakaite:
Bayesian Learning Strategies for Reducing Uncertainty of Decision-Making in Case of Missing Values. 106 - Jiahui Lv, Jun Lei, Jun Zhang, Chao Chen, Shuohao Li:
Saliency-Guided Local Semantic Mixing for Long-Tailed Image Classification. 107
Volume 7, Number 4, 2025
- Mustafa Erdem, Nazim Kemal Üre:
Learning to Balance Mixed Adversarial Attacks for Robust Reinforcement Learning. 108 - Daniel Alexis Nieto-Mora, Leonardo Duque-Muñoz, Juan David Martínez-Vargas:
Enhancing Soundscape Characterization and Pattern Analysis Using Low-Dimensional Deep Embeddings on a Large-Scale Dataset. 109 - Anouar Chahbouni, Khaoula El Manaa, Yassine Abouch, Imane El Manaa, Badre Bossoufi, Mohammed El Ghzaoui, Rachid El Alami:
Attention-Guided Differentiable Channel Pruning for Efficient Deep Networks. 110 - Luciano Radrigan, Sebastián E. Godoy, Aníbal S. Morales:
Transfer Learning for Generalized Safety Risk Detection in Industrial Video Operations. 111 - Lukasz Wawrowski, Piotr Biczyk, Dominik Slezak, Marek Sikora:
Adversarial Attacks Detection Method for Tabular Data. 112 - Archana Pallakonda, Rayappa David Amar Raj, Rama Muni Reddy Yanamala, Christian Napoli, Cristian Randieri:
TL-Efficient-SE: A Transfer Learning-Based Attention-Enhanced Model for Fingerprint Liveness Detection Across Multi-Sensor Spoof Attacks. 113 - Haseeb Younis, Rosane Minghim:
Enhancing Cancer Classification from RNA Sequencing Data Using Deep Learning and Explainable AI. 114 - Antonio Villafranca, Kyaw Min Thant, Igor Tasic, María-Dolores Cano:
AI-Enabled IoT Intrusion Detection: Unified Conceptual Framework and Research Roadmap. 115 - Tyler J. Gandee, Philippe J. Giabbanelli:
Faithful Narratives from Complex Conceptual Models: Should Modelers or Large Language Models Simplify Causal Maps? 116 - Yan Lyu, Likai Liu, Xuezhi Wang, Zhiyu Fan, Jinchen Wang, Guanyu Gao:
Learning to Partition: Dynamic Deep Neural Network Model Partitioning for Edge-Assisted Low-Latency Video Analytics. 117 - Gustav Durlind, Uriel Martinez-Hernandez, Tareq Assaf:
Exploratory Proof-of-Concept: Predicting the Outcome of Tennis Serves Using Motion Capture and Deep Learning. 118 - Ali Alyatimi, Vera Yuk Ying Chung, Muhammad Atif Iqbal, Ali Anaissi:
Image-Based Deep Learning for Brain Tumour Transcriptomics: A Benchmark of DeepInsight, Fotomics, and Saliency-Guided CNNs. 119 - Md. Saifur Rahman, Hassan Reza:
Hybrid Deep Learning Approaches for Accurate Electricity Price Forecasting: A Day-Ahead US Energy Market Analysis with Renewable Energy. 120 - Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour, Raymond Ng:
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare. 121 - Limor Ziv, Maayan Nakash:
Behind the Algorithm: International Insights into Data-Driven AI Model Development. 122 - Bo-Yu Lien, Chih-Chin Lai:
A Lightweight Deep Learning Model for Tea Leaf Disease Identification. 123 - Somayeh Barzegar, Naimul Mefraz Khan:
SemiSeg-CAW: Semi-Supervised Segmentation of Ultrasound Images by Leveraging Class-Level Information and an Adaptive Multi-Loss Function. 124 - Sebastian Raubitzek, Patrick Felbauer, Kevin Mallinger, Sebastian Schrittwieser:
Classification of Obfuscation Techniques in LLVM IR: Machine Learning on Vector Representations. 125 - Unai Ruiz-Gonzalez, Alain Andres, Javier Del Ser:
Large Language Models for Structured Task Decomposition in Reinforcement Learning Problems with Sparse Rewards. 126 - Gil Cohen:
A Comprehensive Study on Short-Term Oil Price Forecasting Using Econometric and Machine Learning Techniques. 127 - Carlos Martínez, Laura Busto, Olivia Zulaica, César Veiga:
Interleaved Fusion Learning for Trustworthy AI: Improving Cross-Dataset Performance in Cervical Cancer Analysis. 128 - Antony Morales Cervantes, Victor Herrera, Blanca Nohemí Zamora-Mendoza, Rogelio Flores-Ramírez, Aaron A. López-Cano, Edgar Guevara:
Exploring New Horizons: fNIRS and Machine Learning in Understanding PostCOVID-19. 129 - Valentina Arustamyan, Pavel A. Lyakhov, Ulyana Lyakhova, Ruslan Abdulkadirov, Vyacheslav G. Rybin, Denis N. Butusov:
A Systematic Review of Methods and Algorithms for the Intelligent Processing of Agricultural Data Applied to Sunflower Crops. 130 - Dimitri Nowak, Jennifer Werner, Franziska Hunger, Tomas Johnson, Andreas Mark, Radostin Mitkov, Fredrik Edelvik:
Diff-KNN: Residual Correction of Baseline Wind Predictions in Urban Settings. 131 - Salma Zakzouk, Lobna A. Said:
Federated Learning for Soil Moisture Prediction: Benchmarking Lightweight CNNs and Robustness in Distributed Agricultural IoT Networks. 132 - Domenico Rossi, Aurora Mascolo, Daljeet Singh, Claudio Guarnaccia:
Machine Learning Regressors Calibrated on Computed Data for Road Traffic Noise Prediction. 133 - Hashmath Shaik, Gnaneswar Villuri, Alex Doboli:
An Overview of Large Language Models and a Novel, Large Language Model-Based Cognitive Architecture for Solving Open-Ended Problems. 134 - Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga:
Generalisation Bounds of Zero-Shot Economic Forecasting Using Time Series Foundation Models. 135 - Ashim Chakraborty, Yeshwanth Thota, Cristina Luca, Ian van der Linde:
Explainable Deep Learning for Neonatal Jaundice Classification Using Uncalibrated Smartphone Images. 136 - Guangya Zhang, Tie Xu, Jinli Xu, Hu Wang:
A Graph-Structured, Physics-Informed DeepONet Neural Network for Complex Structural Analysis. 137 - Shrooq Algarni, Frederick T. Sheldon:
Personalized Course Recommendations Leveraging Machine and Transfer Learning Toward Improved Student Outcomes. 138 - Abderrafik Laakel Hemdanou, Youssef Achtoun, Sara Mouali, Mohammed Lamarti Sefian, Vesna Sesum-Cavic, Stojan Radenovic:
Cover Tree-Optimized Spectral Clustering: Efficient Nearest Neighbor Search for Large-Scale Data Partitioning. 139 - Liviu Bilteanu, Corneliu Octavian Dumitru, Andreea Dumachi, Florin Alexandrescu, Radu C. Popa, Octavian Buiu, Andreea Iren Serban:
Towards Explainable Machine Learning from Remote Sensing to Medical Images - Merging Medical and Environmental Data into Public Health Knowledge Maps. 140 - Luis Giraldo, Sergio Laso:
Democratizing Machine Learning: A Practical Comparison of Low-Code and No-Code Platforms. 141 - Nikola Ivacic, Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac, Matthew Purver:
Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned. 142 - Wei Lin, Zhixin Piao, Chi Chung Alan Fung:
Delving into Unsupervised Hebbian Learning from Artificial Intelligence Perspectives. 143 - Cristian Inzulza, Caio Bezares, Franco Cornejo, Víctor Parada:
Clustering-Guided Automatic Generation of Algorithms for the Multidimensional Knapsack Problem. 144 - Ibrahim K. Kabir, Muhammad Faizan Mysorewala, Yahya I. Osais, Ali Nasir:
Learning to Navigate in Mixed Human-Robot Crowds via an Attention-Driven Deep Reinforcement Learning Framework. 145 - Ismael Beviá-Ballesteros, Mario Jerez-Tallón, Nieves Aranda-Garrido, Marcelo Saval-Calvo, Isabel Abel-Abellán, Andrés Fuster Guilló:
Zero-Shot Elasmobranch Classification Informed by Domain Prior Knowledge. 146 - Yangyi Li, Kyaw Hlaing Bwar, Rifai Chai, Kwong Ming Tse, Boon Xian Chai:
Adaptive Multi-View Hypergraph Learning for Cross-Condition Bearing Fault Diagnosis. 147 - Kirill Zakharov, Alexander Boukhanovsky:
Model-Aware Automatic Benchmark Generation with Self-Error Instructions for Data-Driven Models. 148 - Alfred Asare Amoah, Yan Liu:
Explainable Recommendation of Software Vulnerability Repair Based on Metadata Retrieval and Multifaceted LLMs. 149 - Pavlo Nosov, Oleksiy Melnyk, Mykola Malaksiano, Pavlo Mamenko, Dmytro Onyshko, Oleksij Fomin, Václav Pístek, Pavel Kucera:
Machine Learning-Based Semantic Analysis of Scientific Publications for Knowledge Extraction in Safety-Critical Domains. 150 - Luis Vergara, Addisson Salazar:
Does Score Bias Correction Improve the Fusion of Classifiers? 151 - Kiril Makrinsky, Valery Shendrikov, Anna Makhonko, Dmitry Merkushkin, Oleg V. Batishchev:
LLM-Based Pipeline for Structured Knowledge Extraction from Scientific Literature on Heavy Metal Hyperaccumulation. 152 - Vahid Arabzadeh, Raphaël Frank:
A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review. 153 - Doyinsola D. Olatinwo, Mae L. Seto:
Low-SNR Northern Right Whale Upcall Detection and Classification Using Passive Acoustic Monitoring to Reduce Adverse Human-Whale Interactions. 154 - Hammoud Al Joumaa, Lou'i Al-Shrouf, Mohieddine Jelali:
Time Series-to-Image Encoding for Classification Using Convolutional Neural Networks: A Novel and Robust Approach. 155 - Erikson Carlos Ramos, Leandro Carlos de Souza, Gustavo Henrique Matos Bezerra Motta:
Anomaly Detection Based on Markovian Geometric Diffusion. 156 - Amir Sohel, Rittik Chandra Das Turjy, Sarbajit Paul Bappy, Md Assaduzzaman, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj:
SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. 157 - Miroslava Matejová, Ján Paralic:
A Multi-Criteria Decision-Making Approach for the Selection of Explainable AI Methods. 158 - Ashan Dhananjaya, Gihan Gamage, Sivaluxman Sivananthavel, Nishan Mills, Daswin De Silva, Milos Manic:
Generative AI Agents for Bedside Sleep Apnea Detection and Sleep Coaching. 159 - Zeinab A. Hassaan, Mohammed H. Yacoub, Lobna A. Said:
FPGA-Accelerated ESN with Chaos Training for Financial Time Series Prediction. 160 - Dennis Weber, Mónika Varga:
A Reevaluable Property Lattice-Based Knowledge Representation for Proposing and Assessing Computational Tools in Manufacturing. 161 - Tvrtko Gluncic, Domjan Baric, Matko Gluncic:
VISTA: A Multi-View, Hierarchical, and Interpretable Framework for Robust Topic Modelling. 162 - Luka Selak, Gasper Skulj, Dominik Kozjek, Drago Bracun:
Prediction of Environment-Related Operation and Maintenance Events in Small Hydropower Plants. 163 - Meryam Telmem, Naouar Laaidi, Youssef Ghanou, Hassan Satori:
N-Gram and RNN-LM Language Model Integration for End-to-End Amazigh Speech Recognition. 164 - Nikolai A. K. Steur, Friedhelm Schwenker:
Multimodal Pain Recognition Based on Contrastive Adversarial Autoencoder Pretraining. 165 - Piotr Wieniawski, Jakub S. Gasior, Maciej Rosól, Marcel Mlynczak, Ewa Smereczynska-Wierzbicka, Anna Piórecka-Makula, Radoslaw Pietrzak:
Machine Learning Prediction of Recurrent Vasovagal Syncope in Children Using Heart Rate Variability and Anthropometric Data - A Pilot Study. 166 - Xandru Mifsud, Leander Grech, Adriana Baldacchino, Léa Keller, Gianluca Valentino, Adrian Muscat:
Receipt Information Extraction with Joint Multi-Modal Transformer and Rule-Based Model. 167 - Gizem Nur Karagoz, Tanir Ozcelebi, Nirvana Meratnia:
XIMED: A Dual-Loop Evaluation Framework Integrating Predictive Model and Human-Centered Approaches for Explainable AI in Medical Imaging. 168
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