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ORCIDSIGKDD Explorations, Volume 24
Volume 24, Number 1, June 2022
- Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu
, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. 1-13 - Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang:
Text Style Transfer: A Review and Experimental Evaluation. 14-45
- Reuben Moyo, Stanley Ndebvu, Michael Zimba, Martin Dybdal, Maria Maistro, Benjamin Balder Bach:
Report on the Malawi Data Science Bootcamp 2021. 46-48
- Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 1st International Workshop on Learning to Quantify (LQ 2021). 49-51 - Sihem Amer-Yahia, Angela Bonifati, Cécile Favre, Élisa Fromont, Nicolas Labroche, Guy Melançon, Florence Sèdes, Arnaud Soulet, Alexandre Termier:
Diversity and Inclusion Activities in EGC - A 2022 Report. 52-56
Volume 24, Number 2, December 2022
- Huan Liu:
An Interview with Dr. Huan Liu, Winner of ACM SIGKDD 2022 Innovation Award. 1-2 - Charu C. Aggarwal:
An Interview with Dr. Charu Aggarwal, Winner of ACM SIGKDD 2022 Service Award. 3-4 - Jack D. Saunders, Alex Alves Freitas:
Evaluating the Predictive Performance of Positive- Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. 5-11 - Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau:
Open challenges for Machine Learning based Early Decision-Making research. 12-31 - Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li:
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. 32-47 - Jay Xu, Jian Pei, Zicun Cong:
Finding Multidimensional Simpson's Paradox. 48-60 - Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. 61-77 - Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan:
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. 78-80 - Jefrey Lijffijt, Dimitra Gkorou, Pieter Van Hertum, Alexander Ypma, Mykola Pechenizkiy, Joaquin Vanschoren:
Introduction to the Special Section on AI in Manufacturing: Current Trends and Challenges. 81-85 - Apostolos Giannoulidis, Anastasios Gounaris, Nikodimos Nikolaidis, Athanasios Naskos, Daniel Caljouw:
Investigating thresholding techniques in a real predictive maintenance scenario. 86-95 - Zhong Li, Matthijs van Leeuwen:
Feature Selection for Fault Detection and Prediction based on Event Log Analysis. 96-104 - Maria Lua Nunes, Marília Barandas, Hugo Gamboa, Filipe Soares:
Acoustic Structural Integrity Assessment of Ceramics using Supervised Machine Learning and Uncertainty-Based Rejection. 105-113 - Sunanda Gamage, Benjamin Klöpper, Jagath Samarabandu:
Experiences with Contrastive Predictive Coding in Industrial Time-Series Classification. 114-123 - Nils Brockmann, Edward Elson Kosasih, Alexandra Brintrup:
Supply Chain Link Prediction on Uncertain Knowledge Graph. 124-130
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