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Publication search results
found 575 matches
- 2024
- Tristan Allard, Hira Asghar, Gildas Avoine, Christophe Bobineau, Pierre Cauchois, Elisa Fromont, Anna Monreale, Francesca Naretto, Roberto Pellungrini, Francesca Pratesi, Marie-Christine Rousset, Antonin Voyez:
Analyzing and explaining privacy risks on time series data: ongoing work and challenges. SIGKDD Explor. 26(1): 49-58 (2024) - Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness in Large Language Models: A Taxonomic Survey. SIGKDD Explor. 26(1): 34-48 (2024) - Alex Alves Freitas:
The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications. SIGKDD Explor. 26(1): 24-33 (2024) - William Shiao, Evangelos E. Papalexakis:
Synthetic data for learning-based knowledge discovery. SIGKDD Explor. 26(1): 19-23 (2024) - Hao Tian, Reza Zafarani:
Higher-Order Networks Representation and Learning: A Survey. SIGKDD Explor. 26(1): 1-18 (2024) - 2023
- Amrita Bhattacharjee, Huan Liu:
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? SIGKDD Explor. 25(2): 14-21 (2023) - Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). SIGKDD Explor. 25(2): 25-28 (2023) - Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25(2): 42-61 (2023) - Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. 25(1): 54-72 (2023) - Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou:
Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. 25(2): 4-13 (2023) - Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. SIGKDD Explor. 25(1): 73-82 (2023) - Fiete Lüer, Christian Böhm:
Anomaly Detection using Generative Adversarial Networks Reviewing methodological progress and challenges. SIGKDD Explor. 25(2): 29-41 (2023) - Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies. SIGKDD Explor. 25(1): 19-35 (2023) - Erich Schubert:
Stop using the elbow criterion for k-means and how to choose the number of clusters instead. SIGKDD Explor. 25(1): 36-42 (2023) - Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu:
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. 25(1): 43-53 (2023) - A. Thomasian:
Storage Systems: Organization, Performance, Coding, Reliability, and Their Data Processing, 1st Edition, October 13, 2021, Author: Alexander Thomasian. SIGKDD Explor. 25(2): 22-24 (2023) - Adaku Uchendu, Thai Le, Dongwon Lee:
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. SIGKDD Explor. 25(1): 1-18 (2023) - 2022
- Charu C. Aggarwal:
An Interview with Dr. Charu Aggarwal, Winner of ACM SIGKDD 2022 Service Award. SIGKDD Explor. 24(2): 3-4 (2022) - 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. SIGKDD Explor. 24(1): 52-56 (2022) - 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. SIGKDD Explor. 24(2): 12-31 (2022) - Nils Brockmann, Edward Elson Kosasih, Alexandra Brintrup:
Supply Chain Link Prediction on Uncertain Knowledge Graph. SIGKDD Explor. 24(2): 124-130 (2022) - Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 1st International Workshop on Learning to Quantify (LQ 2021). SIGKDD Explor. 24(1): 49-51 (2022) - Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. 24(2): 61-77 (2022) - Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li:
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. 24(2): 32-47 (2022) - Sunanda Gamage, Benjamin Klöpper, Jagath Samarabandu:
Experiences with Contrastive Predictive Coding in Industrial Time-Series Classification. SIGKDD Explor. 24(2): 114-123 (2022) - Apostolos Giannoulidis, Anastasios Gounaris, Nikodimos Nikolaidis, Athanasios Naskos, Daniel Caljouw:
Investigating thresholding techniques in a real predictive maintenance scenario. SIGKDD Explor. 24(2): 86-95 (2022) - Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang:
Text Style Transfer: A Review and Experimental Evaluation. SIGKDD Explor. 24(1): 14-45 (2022) - Zhong Li, Matthijs van Leeuwen:
Feature Selection for Fault Detection and Prediction based on Event Log Analysis. SIGKDD Explor. 24(2): 96-104 (2022) - 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. SIGKDD Explor. 24(2): 81-85 (2022) - Huan Liu:
An Interview with Dr. Huan Liu, Winner of ACM SIGKDD 2022 Innovation Award. SIGKDD Explor. 24(2): 1-2 (2022)
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