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ORCIDMachine Learning and Knowledge Extraction, Volume 3
Volume 3, Number 1, March 2021
- Benjamin M. Abdel-Karim
, Alexander Benlian, Oliver Hinz:
The Predictive Value of Data from Virtual Investment Communities. 1-13 - Yu Wei, Matthew P. Thompson, Erin J. Belval, David E. Calkin, Jude Bayham:
Understand Daily Fire Suppression Resource Ordering and Assignment Patterns by Unsupervised Learning. 14-33 - Viktor Reshniak, Clayton G. Webster:
Robust Learning with Implicit Residual Networks. 34-55 - Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser:
AI System Engineering - Key Challenges and Lessons Learned. 56-83 - Liang Zhang, Jingqun Li, Bin Zhou, Yan Jia:
Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks. 84-94 - Kilho Shin, Taichi Ishikawa, Yu-Lu Liu, David Lawrence Shepard:
Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites. 95-122 - Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. 123-167 - Acknowledgment to Reviewers of MAKE in 2020. 168-169
- Michael C. Thrun, Alfred Ultsch, Lutz Breuer:
Explainable AI Framework for Multivariate Hydrochemical Time Series. 170-204 - Franz Mayr, Sergio Yovine, Ramiro Visca:
Property Checking with Interpretable Error Characterization for Recurrent Neural Networks. 205-227 - Christos T. Alexakos, Yannis L. Karnavas, Maria Drakaki, Ioannis A. Tziafettas:
A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors. 228-242 - Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch:
Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging. 243-262 - Callum Hughes, Maxim Filimonov, Alison Wray, Irena Spasic:
Leaving No Stone Unturned: Flexible Retrieval of Idiomatic Expressions from a Large Text Corpus. 263-283 - Frank Emmert-Streib:
From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence. 284-298
Volume 3, Number 2, June 2021
- Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports. 299-317 - Amin Anjomshoaa, Edward Curry:
Transfer Learning in Smart Environments. 318-332 - Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan:
Privacy and Trust Redefined in Federated Machine Learning. 333-356 - Umberto Michelucci, Francesca Venturini:
Estimating Neural Network's Performance with Bootstrap: A Tutorial. 357-373 - Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk:
On the Scale Invariance in State of the Art CNNs Trained on ImageNet. 374-391 - Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller:
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. 392-413 - Liangfei Zhang, Ognjen Arandjelovic:
Review of Automatic Microexpression Recognition in the Past Decade. 414-434 - Marko Horvat, Alan Jovic, Kristijan Burnik:
Assessing the Robustness of Cluster Solutions in Emotionally-Annotated Pictures Using Monte-Carlo Simulation Stabilized K-Means Algorithm. 435-452 - Keqing Ning, Zhihao Zhang, Kai Han, Siyu Han, Xiqing Zhang:
Single-Core Multiscale Residual Network for the Super Resolution of Liquid Metal Specimen Images. 453-466 - Ayan Bhattacharya:
Hardness of Learning in Rich Environments and Some Consequences for Financial Markets. 467-480 - Albert Whata, Charles Chimedza:
A Machine Learning Evaluation of the Effects of South Africa's COVID-19 Lockdown Measures on Population Mobility. 481-506 - Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. 507-524
Volume 3, Number 3, September 2021
- Muhammad Rehman Zafar, Naimul Khan:
Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability. 525-541 - Mario Manzo, Simone Pellino:
Voting in Transfer Learning System for Ground-Based Cloud Classification. 542-553 - Xuanchen Xiang, Simon Foo:
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. 554-581 - Farhad Khosrojerdi, Stéphane Gagnon, Raul Valverde:
Proposing an Ontology Model for Planning Photovoltaic Systems. 582-600 - Hongbin Lin, Wu Zheng, Xiuping Peng:
Orientation-Encoding CNN for Point Cloud Classification and Segmentation. 601-614 - Giulia Vilone, Luca Longo:
Classification of Explainable Artificial Intelligence Methods through Their Output Formats. 615-661 - Jonas Herskind Sejr, Peter Schneider-Kamp, Naeem Ayoub:
Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME. 662-671 - Lizhen Tang, Qusay H. Mahmoud:
A Survey of Machine Learning-Based Solutions for Phishing Website Detection. 672-694 - Adam Pickens, Saptarshi Sengupta:
Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks. 695-719 - Joaquim Carreras, Rifat A. Hamoudi:
Artificial Neural Network Analysis of Gene Expression Data Predicted Non-Hodgkin Lymphoma Subtypes with High Accuracy. 720-739 - Samanta Knapic, Avleen Malhi, Rohit Saluja, Kary Främling:
Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain. 740-770
Volume 3, Number 4, 2021
- Rikta Sen, Ashis Kumar Mandal, Basabi Chakraborty:
A Critical Study on Stability Measures of Feature Selection with a Novel Extension of Lustgarten Index. 771-787 - Sergio Yovine, Franz Mayr, Sebastián Sosa, Ramiro Visca:
An Assessment of the Application of Private Aggregation of Ensemble Models to Sensible Data. 788-801 - M. V. P. T. Lakshika, H. A. Caldera:
Knowledge Graphs Representation for Event-Related E-News Articles. 802-818 - George Onoufriou, Paul Mayfield, Georgios Leontidis:
Fully Homomorphically Encrypted Deep Learning as a Service. 819-834 - Saim Rasheed:
A Review of the Role of Machine Learning Techniques towards Brain-Computer Interface Applications. 835-862 - Xuanchen Xiang, Simon Y. Foo, Huanyu Zang:
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. 863-878 - Christos Ferles, Yannis Papanikolaou, Stylianos P. Savaidis, Stelios A. Mitilineos:
Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data. 879-899 - Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Hengshuai Yao, Peter Chun:
A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. 900-921 - Shaw-Hwa Lo, Yiqiao Yin:
Language Semantics Interpretation with an Interaction-Based Recurrent Neural Network. 922-945 - Sourav Malakar, Saptarsi Goswami, Bhaswati Ganguli, Amlan Chakrabarti, Sugata Sen Roy, K. Boopathi, A. G. Rangaraj:
A Novel Feature Representation for Prediction of Global Horizontal Irradiance Using a Bidirectional Model. 946-965 - Vanessa Buhrmester, David Münch, Michael Arens:
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey. 966-989 - Joakim Olav Valand, Haris Kadragic, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
AI-Based Video Clipping of Soccer Events. 990-1008 - Ali Can Kara, Firat Hardalaç:
Detection and Classification of Knee Injuries from MR Images Using the MRNet Dataset with Progressively Operating Deep Learning Methods. 1009-1029 - Olav A. Norgård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. 1030-1054
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