| 2022 | Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing. | Zhangyue Shi, Yuxuan Li, Chenang Liu |
| 2022 | MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification. | Pengxiang Shi, Xuan Dang, Wenwen Ye, Zhipeng Li, Zheng Qin |
| 2022 | Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning. | Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue |
| 2022 | TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering. | Radwa El Shawi, Sherif Sakr |
| 2022 | cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. | Radwa El Shawi, Sherif Sakr |
| 2022 | Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. | Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, Forrest M. Hoffman |
| 2022 | Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data. | Maryam Shahcheraghi, Ryan Mercer, Joo Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh |
| 2022 | Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). | Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani |
| 2022 | Sentence-BERT Distinguishes Good and Bad Essays in Cross-prompt Automated Essay Scoring. | Toru Sasaki, Tomonari Masada |
| 2022 | A Paraphrase Identification Approach in Paragraph Length Texts. | Arwa Al Saqaabi, Eleni C. Akrida, Alexandra I. Cristea, Craig D. Stewart |
| 2022 | Above Ground Biomass Estimation of a Cocoa Plantation using Machine Learning. | Sabrina Sankar, Marvin Lewis, Patrick Hosein |
| 2022 | Center-Based iPSC Colony Counting with Multi-Task Learning. | Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou |
| 2022 | Distributed LSTM-Learning from Differentially Private Label Proportions. | Timon Sachweh, Daniel Boiar, Thomas Liebig |
| 2022 | Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach. | Agrim Sachdeva, Ben Lazarine, Ruchik Dama, Sagar Samtani, Hongyi Zhu |
| 2022 | Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. | Andreas Roth, Thomas Liebig |
| 2022 | A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow. | Juan F. Ramirez Rochac, Nian Zhang, Tolessa Deksissa, Jiajun Xu, Lara A. Thompson |
| 2022 | Joint Debiased Representation Learning and Imbalanced Data Clustering. | Mina Rezaei, Emilio Dorigatti, David Rgamer, Bernd Bischl |
| 2022 | Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. | Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu |
| 2022 | Causal Effect Prediction with Flow-based Inference. | Shaogang Ren, Dingcheng Li, Ping Li |
| 2022 | A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering. | Ramin Raziperchikolaei, Young-joo Chung |
| 2022 | Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. | Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan |
| 2022 | Interpreting Categorical Data Classifiers using Explanation-based Locality. | Peyman Rasouli, Ingrid Chieh Yu, Ernesto Jimnez-Ruiz |
| 2022 | Extracting Entities and Events from Cyber-Physical Security Incident Reports. | Nitin Ramrakhiyani, Sangameshwar Patil, Manideep Jella, Alok Kumar, Girish K. Palshikar |
| 2022 | Scene and Texture Based Feature Set for DeepFake Video Detection. | Amit Neil Ramkissoon, Vijayanandh Rajamanickam, Wayne Goodridge |
| 2022 | Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. | Ruihong Qiu, Zi Huang, Hongzhi Yin |