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ORCIDMachine Learning and Knowledge Extraction, Volume 4
Volume 4, Number 1, March 2022
- Nikolaos Tsokanas
, Roland Pastorino, Bozidar Stojadinovic:
A Comparison of Surrogate Modeling Techniques for Global Sensitivity Analysis in Hybrid Simulation. 1-21 - Nermeen Abou Baker, Nico Zengeler, Uwe Handmann:
A Transfer Learning Evaluation of Deep Neural Networks for Image Classification. 22-41 - Luís Filipe Costa Cunha, José Carlos Ramalho:
NER in Archival Finding Aids: Extended. 42-65 - Mehdi Hassanpour, Marc Riera, Antonio González:
A Survey of Near-Data Processing Architectures for Neural Networks. 66-102 - Acknowledgment to Reviewers of Machine Learning and Knowledge Extraction in 2021. 103-104
- Austin Schmidt, Md Wasi Ul Kabir, Md. Tamjidul Hoque:
Machine Learning Based Restaurant Sales Forecasting. 105-130 - Ivan-Alejandro Garcia-Ramirez, Arturo Calderon-Mora, Andres Mendez-Vazquez, Susana Ortega-Cisneros, Iván Reyes-Amezcua:
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures. 131-149 - Scarlet Stadtler, Clara Betancourt, Ribana Roscher:
Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset. 150-171 - Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré:
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. 172-221 - Mónica P. Arenas, Hüseyin Demirci, Gabriele Lenzini:
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification. 222-239 - Arashdeep Singh, Jashandeep Singh, Ariba Khan, Amar Gupta:
Developing a Novel Fair-Loan Classifier through a Multi-Sensitive Debiasing Pipeline: DualFair. 240-253 - Nadeesha Perera, Thi Thuy Linh Nguyen, Matthias Dehmer, Frank Emmert-Streib:
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition. 254-275 - Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever, Jan Peters:
Robust Reinforcement Learning: A Review of Foundations and Recent Advances. 276-315
Volume 4, Number 2, June 2022
- Nicholas Asher, Lucas de Lara, Soumya Paul, Chris Russell:
Counterfactual Models for Fair and Adequate Explanations. 316-349 - Tareq Tayeh, Sulaiman A. Aburakhia, Ryan Myers, Abdallah Shami:
An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series. 350-370 - Kabul Kurniawan, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr, A Min Tjoa:
VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis. 371-396 - Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia:
Missing Data Estimation in Temporal Multilayer Position-Aware Graph Neural Network (TMP-GNN). 397-417 - Tomonari Horikawa, Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa:
Estimating the Best Time to View Cherry Blossoms Using Time-Series Forecasting Method. 418-431 - Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong:
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. 432-445 - Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, Yannis L. Karnavas:
Machine Learning in Disaster Management: Recent Developments in Methods and Applications. 446-473 - Anastazia Zunic, Padraig Corcoran, Irena Spasic:
The Case of Aspect in Sentiment Analysis: Seeking Attention or Co-Dependency? 474-487 - Amirarsalan Rajabi, Özlem Özmen Garibay:
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. 488-501 - Nyle Siddiqui, Rushit Dave, Mounika Vanamala, Naeem Seliya:
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. 502-518 - Anastasia Gurina, Vladimir Eliseev:
Quality Criteria and Method of Synthesis for Adversarial Attack-Resistant Classifiers. 519-541 - Cornelia Ferner, Stefan Wegenkittl:
Benefits from Variational Regularization in Language Models. 542-555 - Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen, Andreas Holzinger:
Fairness and Explanation in AI-Informed Decision Making. 556-579
Volume 4, Number 3, September 2022
- Youfa Liu, Guo Chen:
Real Quadratic-Form-Based Graph Pooling for Graph Neural Networks. 580-590 - Ananth Mahadevan, Michael Mathioudakis:
Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study. 591-620 - Adithi D. Chakravarthy, Dilanga Abeyrathna, Mahadevan Subramaniam, Parvathi Chundi, Venkataramana Gadhamshetty:
Semantic Image Segmentation Using Scant Pixel Annotations. 621-640 - Nontakan Nuntachit, Prompong Sugunnasil:
Do We Need a Specific Corpus and Multiple High-Performance GPUs for Training the BERT Model? An Experiment on COVID-19 Dataset. 641-664 - Daniel Sobien, Erik Higgins, Justin Krometis, Justin Kauffman, Laura J. Freeman:
Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space. 665-687 - Pejman Peykani, Fatemeh Sadat Seyed Esmaeili, Mirpouya Mirmozaffari, Armin Jabbarzadeh, Mohammad Khamechian:
Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach. 688-699 - Agus Santoso, Fransisco Danang Wijaya, Noor Akhmad Setiawan, Joko Waluyo:
Data Mining Algorithms for Operating Pressure Forecasting of Crude Oil Distribution Pipelines to Identify Potential Blockages. 700-714 - Antonina L. Nazarova, Aiichiro Nakano:
VLA-SMILES: Variable-Length-Array SMILES Descriptors in Neural Network-Based QSAR Modeling. 715-737 - Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine:
Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss. 753-767 - Martha Chadyiwa, Juliana Kagura, Aimee Stewart:
Investigating Machine Learning Applications in the Prediction of Occupational Injuries in South African National Parks. 768-778 - Dirk Tasche:
Factorizable Joint Shift in Multinomial Classification. 779-802 - Cedric Roussel, Klaus Böhm, Pascal Neis:
Sensor Fusion for Occupancy Estimation: A Study Using Multiple Lecture Rooms in a Complex Building. 803-813
Volume 4, Number 4, December 2022
- Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos:
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study. 814-826 - Amarah Epp-Stobbe, Ming-Chang Tsai, Marc Klimstra:
Comparison of Imputation Methods for Missing Rate of Perceived Exertion Data in Rugby. 827-838 - Bonginkosi A. Thango:
On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers. 839-851 - Kseniia Gromova, Vinayak Elangovan:
Automatic Extraction of Medication Information from Cylindrically Distorted Pill Bottle Labels. 852-864 - Jialin Zhang:
Entropic Statistics: Concept, Estimation, and Application in Machine Learning and Knowledge Extraction. 865-887 - Mostafa Shahriari, Rudolf Ramler, Lukas Fischer:
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? 888-911 - Laura Petrescu, Iren-Adelina Moldovan:
Prospective Neural Network Model for Seismic Precursory Signal Detection in Geomagnetic Field Records. 912-923 - Anna Saranti, Miroslav Hudec, Erika Mináriková, Zdenko Takác, Udo Großschedl, Christoph Koch, Bastian Pfeifer, Alessa Angerschmid, Andreas Holzinger:
Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning. 924-953 - Ryan Bluteau, Robin Gras, Zachary Innes, Mitchel Paulin:
Lottery Ticket Structured Node Pruning for Tabular Datasets. 954-967 - Felix Fischer, Alexander Birk, Peter Somers, Karsten Frenner, Cristina Tarín, Alois Herkommer:
FeaSel-Net: A Recursive Feature Selection Callback in Neural Networks. 968-993 - Sebastian Kiefer, Mareike Hoffmann, Ute Schmid:
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions. 994-1010 - Giuseppe Nuti, Andreea-Ingrid Cross, Philipp Rindler:
Evidence-Based Regularization for Neural Networks. 1011-1023 - Dilanga Abeyrathna, Shailabh Rauniyar, Rajesh Kumar Sani, Pei-Chi Huang:
A Morphological Post-Processing Approach for Overlapped Segmentation of Bacterial Cell Images. 1024-1041 - Arjun Vinayak Chikkankod, Luca Longo:
On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps. 1042-1064 - Yoshie Ishii, Koki Iwao, Tsuguki Kinoshita:
A New Rough Set Classifier for Numerical Data Based on Reflexive and Antisymmetric Relations. 1065-1087 - Ivan Izonin, Roman Tkachenko, Rostyslav Holoven, Kyrylo Yemets, Myroslav Havryliuk, Shishir Kumar Shandilya:
SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets. 1088-1106 - Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj:
Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation. 1107-1123 - Ioannis D. Apostolopoulos, Ifigeneia Athanasoula, Mpesi Tzani, Peter P. Groumpos:
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME. 1124-1135
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