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ORCIDMachine Learning and Knowledge Extraction, Volume 5
Volume 5, Number 1, March 2023
- Blaz Skrlj
, Matej Bevec, Nada Lavrac:
Multimodal AutoML via Representation Evolution. 1-13 - Vitalijs Fescenko, Janis Arents, Roberts Kadikis:
Synthetic Data Generation for Visual Detection of Flattened PET Bottles. 14-28 - Alanoud Mohammed Alduailaj, Aymen Belghith:
Detecting Arabic Cyberbullying Tweets Using Machine Learning. 29-42 - Weihang Zhang, Ovidiu Serban, Jiahao Sun, Yike Guo:
IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning. 43-58 - Vladimir Araujo, Marie-Francine Moens, Alvaro Soto:
Learning Sentence-Level Representations with Predictive Coding. 59-77 - Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, Michael Amberg:
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process. 78-108 - Yuto Omae, Masaya Mori:
E2H Distance-Weighted Minimum Reference Set for Numerical and Categorical Mixture Data and a Bayesian Swap Feature Selection Algorithm. 109-127 - Neil Hwang, Shirshendu Chatterjee, Yanming Di, Sharmodeep Bhattacharyya:
Detection of Temporal Shifts in Semantics Using Local Graph Clustering. 128-143 - Adeilson Antonio da Silva, Maurício Pamplona Segundo:
On Deceiving Malware Classification with Section Injection. 144-168 - Jochen Garcke, Ribana Roscher:
Explainable Machine Learning. 169-170 - Acknowledgment to the Reviewers of Machine Learning and Knowledge Extraction in 2022. 171-172
- Edgar R. Weippl, Andreas Holzinger, Peter Kieseberg:
Special Issue "Selected Papers from CD-MAKE 2020 and ARES 2020". 173-174 - Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano, Fabrizio Cedrone:
Machine Learning and Prediction of Infectious Diseases: A Systematic Review. 175-198 - Aniss Aiman Medbouhi, Vladislav Polianskii, Anastasia Varava, Danica Kragic:
InvMap and Witness Simplicial Variational Auto-Encoders. 199-236 - Matt Jensen, Trent Stellingwerff, Courtney Pollock, James M. Wakeling, Marc Klimstra:
Can Principal Component Analysis Be Used to Explore the Relationship of Rowing Kinematics and Force Production in Elite Rowers during a Step Test? A Pilot Study. 237-251 - Hassan Noroznia, Majid Gandomkar, Javad Nikoukar, Ali Aranizadeh, Mirpouya Mirmozaffari:
A Novel Pipeline Age Evaluation: Considering Overall Condition Index and Neural Network Based on Measured Data. 252-268 - Federico Cabitza, Andrea Campagner, Chiara Natali, Enea Parimbelli, Luca Ronzio, Matteo Cameli:
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. 269-286 - Haeyong Kang, Chang D. Yoo:
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation. 287-303 - Emilija Strelcenia, Simant Prakoonwit:
A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection. 304-329 - Talal H. Noor:
Human Action Recognition-Based IoT Services for Emergency Response Management. 330-345 - Mattia G. Bergomi, Massimo Ferri, Alessandro Mella, Pietro Vertechi:
Generalized Persistence for Equivariant Operators in Machine Learning. 346-358 - Abdulsalam Hajmohamad, Hasan Koyuncu:
3t2FTS: A Novel Feature Transform Strategy to Classify 3D MRI Voxels and Its Application on HGG/LGG Classification. 359-383 - Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu:
A Diabetes Prediction System Based on Incomplete Fused Data Sources. 384-399 - Ryan Bluteau, Robin Gras:
Lottery Ticket Search on Untrained Models with Applied Lottery Sample Selection. 400-417 - Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann:
A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping. 418-430 - Marcos Hernández Rodríguez, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Maria del Carmen Pegalajar Jiménez:
Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption. 431-447 - Yu-Shan Shih, Yi-Hung Kung:
Tree-Structured Model with Unbiased Variable Selection and Interaction Detection for Ranking Data. 448-459 - Lucia Summers, Alyssa N. Shallenberger, John Cruz, Lawrence V. Fulton:
A Multi-Input Machine Learning Approach to Classifying Sex Trafficking from Online Escort Advertisements. 460-472 - Gaurav Nanda, Aparajita Jaiswal, Hugo Castellanos, Yuzhe Zhou, Alex Choi, Alejandra J. Magana:
Evaluating the Coverage and Depth of Latent Dirichlet Allocation Topic Model in Comparison with Human Coding of Qualitative Data: The Case of Education Research. 473-490 - Karthik Santhanaraj, Dinakaran Devaraj, Ramya Mm, Joshuva Arockia Dhanraj, Kuppan Ramanathan:
Biologically Inspired Self-Organizing Computational Model to Mimic Infant Learning. 491-511 - Amar Shukla, Rajeev Tiwari, Shamik Tiwari:
Alzheimer's Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier. 512-538 - Maresa Schröder, Alireza Zamanian, Narges Ahmidi:
What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification. 539-559 - Shrooq Algarni, Frederick T. Sheldon:
Systematic Review of Recommendation Systems for Course Selection. 560-596 - Andrée C. Ehresmann, Mathias Béjean, Jean-Paul Vanbremeersch:
A Mathematical Framework for Enriching Human-Machine Interactions. 597-610 - Qinghua Zhou, Jiaji Wang, Xiang Yu, Shuihua Wang, Yudong Zhang:
A Survey of Deep Learning for Alzheimer's Disease. 611-668 - Maryam Kafikang, Abdeltawab M. Hendawi:
Drug-Drug Interaction Extraction from Biomedical Text Using Relation BioBERT with BLSTM. 669-683
Volume 5, Number 3, June 2023
- Hanruo Zhu, Ziquan Zhu, Shuihua Wang, Yu-Dong Zhang:
CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification. 684-712 - Angel Pina, Corbin Petersheim, Josh Cherian, Joanna Lahey, Gerianne Alexander, Tracy Hammond:
Using Machine Learning with Eye-Tracking Data to Predict if a Recruiter Will Approve a Resume. 713-724 - Jianfeng Li, Xiaoqin Lian:
Research on Forest Fire Detection Algorithm Based on Improved YOLOv5. 725-745 - Kristian Miok, Padraig Corcoran, Irena Spasic:
The Value of Numbers in Clinical Text Classification. 746-762 - Fábio Eid Morooka, Adalberto Manoel Junior, Tiago F. A. C. Sigahi, Jefferson Souza Pinto, Izabela Simon Rampasso, Rosley Anholon:
Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review. 763-781 - David Muhr, Michael Affenzeller, Josef Küng:
A Probabilistic Transformation of Distance-Based Outliers. 782-802 - Peter Salamon, David Salamon, Vito Adrian Cantu, Michelle An, Tyler Perry, Robert A. Edwards, Anca M. Segall:
Classification Confidence in Exploratory Learning: A User's Guide. 803-829 - Daniel Klosa, Christof Büskens:
Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting. 830-846 - Ala Alam Falaki, Robin Gras:
Efficient Latent Space Compression for Lightning-Fast Fine-Tuning and Inference of Transformer-Based Models. 847-867 - Brian Lewandowski, Randy C. Paffenroth:
Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance. 868-890 - Mahmood Ul Haq, Muhammad Athar Javed Sethi, Atiq ur Rehman:
Capsule Network with Its Limitation, Modification, and Applications - A Survey. 891-921 - Hosein Barzekar, Susan McRoy:
Achievable Minimally-Contrastive Counterfactual Explanations. 922-936 - Litao Qiao, Weijia Wang, Bill Lin:
Alternative Formulations of Decision Rule Learning from Neural Networks. 937-956 - Phillip Czech, Markus Braun, Ulrich Kreßel, Bin Yang:
Behavior-Aware Pedestrian Trajectory Prediction in Ego-Centric Camera Views with Spatio-Temporal Ego-Motion Estimation. 957-978 - Dylan Molinié, Kurosh Madani, Véronique Amarger, Abdennasser Chebira:
Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA). 979-1009 - Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
Improving Spiking Neural Network Performance with Auxiliary Learning. 1010-1022 - Mohammad MohammadAmini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam, Fatemeh Hariri:
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate. 1023-1035
Volume 5, Number 4, December 2023
- Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez:
Beyond Weisfeiler-Lehman with Local Ego-Network Encodings. 1234-1265 - Oliver Lohaj, Ján Paralic, Peter Bednár, Zuzana Paralicová, Matús Huba:
Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating Variant Influence and Prognostic Classification. 1266-1281 - Franc Lavric, Andrej Skraba:
Brainstorming Will Never Be the Same Again - A Human Group Supported by Artificial Intelligence. 1282-1301 - Yashwanth Karthik Kumar Mamidi, Tarun Karthik Kumar Mamidi, Md Wasi Ul Kabir, Jiande Wu, Md. Tamjidul Hoque, Chindo Hicks:
PCa-Clf: A Classifier of Prostate Cancer Patients into Patients with Indolent and Aggressive Tumors Using Machine Learning. 1302-1319 - Saman Sarraf, Milton Kabia:
Optimal Topology of Vision Transformer for Real-Time Video Action Recognition in an End-To-End Cloud Solution. 1320-1339 - Cristian Ubal, Gustavo L. Di Giorgi, Javier E. Contreras-Reyes, Rodrigo Salas:
Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks. 1340-1358 - Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia:
Entropy-Aware Time-Varying Graph Neural Networks with Generalized Temporal Hawkes Process: Dynamic Link Prediction in the Presence of Node Addition and Deletion. 1359-1381 - Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux:
When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection. 1382-1406 - Veronika Smejkalová, Radovan Somplák, Martin Rosecký, Kristína Sramková:
Machine Learning Method for Changepoint Detection in Short Time Series Data. 1407-1432 - Robert S. Sullivan, Luca Longo:
Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations. 1433-1455 - Miguel Garcia-Hidalgo, Ricardo Sevilla-Escoboza, Angel García-Pedrero:
Mssgan: Enforcing Multiple Generators to Learn Multiple Subspaces to Avoid the Mode Collapse. 1456-1473 - Joel Arweiler, Cihan Ates, Jesús Cerquides, Rainer Koch, Hans-Jörg Bauer:
Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling. 1474-1492 - Ruchita Mehta, Sara Sharifzadeh, Vasile Palade, Bo Tan, Alireza Daneshkhah, Yordanka Karayaneva:
Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition. 1493-1518 - Louisa Heidrich, Emanuel Slany, Stephan Scheele, Ute Schmid:
FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction. 1519-1538 - Amnon Bleich, Antje Linnemann, Benjamin Jaidi, Björn H. Diem, Tim O. F. Conrad:
Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification. 1539-1556 - Evaldo Jorge Alcántara Suárez, Victor Monzon Baeza:
Evaluating the Role of Machine Learning in Defense Applications and Industry. 1557-1569 - Michael Mapundu, Chodziwadziwa W. Kabudula, Eustasius Musenge, Victor Olago, Turgay Çelik:
Explainable Stacked Ensemble Deep Learning (SEDL) Framework to Determine Cause of Death from Verbal Autopsies. 1570-1588 - Manzoor Hussain, Jang-Eui Hong:
Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems. 1589-1611 - Esraa Samkari, Muhammad Arif, Manal Alghamdi, Mohammed A. Al Ghamdi:
Human Pose Estimation Using Deep Learning: A Systematic Literature Review. 1612-1659 - Samuel Corecco, Giorgia Adorni, Luca Maria Gambardella:
Proximal Policy Optimization-Based Reinforcement Learning and Hybrid Approaches to Explore the Cross Array Task Optimal Solution. 1660-1679 - Juan R. Terven, Diana Margarita Córdova Esparza, Julio-Alejandro Romero-González:
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS. 1680-1716 - Leandro L. Cunha, Miguel A. Brito, Domingos F. Oliveira, Ana P. Martins:
Active Learning in the Detection of Anomalies in Cryptocurrency Transactions. 1717-1745 - Jonathan Plangger, Mohamed M. Atia, Hicham Chaoui:
FCIoU: A Targeted Approach for Improving Minority Class Detection in Semantic Segmentation Systems. 1746-1759 - Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadioglu, Sima E. Borujeni, Helmut G. Katzgraber:
Explainable Artificial Intelligence Using Expressive Boolean Formulas. 1760-1795 - Borna Feldsar, Rudolf Mayer, Andreas Rauber:
Detecting Adversarial Examples Using Surrogate Models. 1796-1825 - Horacio Rodriguez-Bazan, Grigori Sidorov, Ponciano Jorge Escamilla-Ambrosio:
Android Malware Classification Based on Fuzzy Hashing Visualization. 1826-1847 - Elie Neghawi, Yan Liu:
Analysing Semi-Supervised ConvNet Model Performance with Computation Processes. 1848-1876 - Rafael Rodrigues Mendes Ribeiro, Carlos Dias Maciel:
Bayesian Network Structural Learning Using Adaptive Genetic Algorithm with Varying Population Size. 1877-1887 - Julien Hautot, Céline Teulière, Nourddine Azzaoui:
Solving Partially Observable 3D-Visual Tasks with Visual Radial Basis Function Network and Proximal Policy Optimization. 1888-1904 - Faraz Ahmad, Massimo Ferri, Patrizio Frosini:
Generalized Permutants and Graph GENEOs. 1905-1920 - Hossein Hassani, Nadejda Komendantova, Elena A. Rovenskaya, Mohammad Reza Yeganegi:
Social Intelligence Mining: Unlocking Insights from X. 1921-1936 - Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches. 1937-1952 - Jose Dixon, Md Rahman:
Statistical Analysis of Imbalanced Classification with Training Size Variation and Subsampling on Datasets of Research Papers in Biomedical Literature. 1953-1978
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