| 2022 | Deep Clustering With Consensus Representations. | Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Bhm, Claudia Plant |
| 2022 | MentalNet: Heterogeneous Graph Representation for Early Depression Detection. | Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu |
| 2022 | Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series. | Ryan Mercer, Eamonn J. Keogh |
| 2022 | Nearest neighbors with incremental learning for real-time forecasting of electricity demand. | Laura Melgar-Garca, David Gutirrez-Avils, Cristina Rubio-Escudero, Alicia Troncoso |
| 2022 | HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. | Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett |
| 2022 | Fairness-Aware Graph Sampling for Network Analysis. | Farzan Masrour, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian |
| 2022 | HiGIL: Hierarchical Graph Inference Learning for Fact Checking. | Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang |
| 2022 | Augmenting Knowledge Transfer across Graphs. | Yuzhen Mao, Jianhui Sun, Dawei Zhou |
| 2022 | Improving Graph Representation Learning with Distribution Preserving. | Chengsheng Mao, Yuan Luo |
| 2022 | Extremely Fast Hoeffding Adaptive Tree. | Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb |
| 2022 | Homology-Separating Triangulated Euler Characteristic Curve. | Nicholas O. Malott, Robert R. Lewis, Philip A. Wilsey |
| 2022 | Representing Social Networks as Dynamic Heterogeneous Graphs. | Negar Maleki, Balaji Padmanabhan, Kaushik Dutta |
| 2022 | Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization. | Yi-Fan Ma, Ming Li |
| 2022 | Dengue Fever: From Extreme Climates to Outbreak Prediction. | Son T. Mai, Ha T. Phi, Abdullahi Abubakar, Peter Kilpatrick, Hung Q. V. Nguyen, Hans Vandierendonck |
| 2022 | A study of the Dream Net model robustness across continual learning scenarios. | Marion Mainsant, Martial Mermillod, Christelle Godin, Marina Reyboz |
| 2022 | HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation Learning. | Nadya Abdel Madjid, Ola El Khatib, Shuang Gao, Djellel Eddine Difallah |
| 2022 | Deep Stable Representation Learning on Electronic Health Records. | Yingtao Luo, Zhaocheng Liu, Qiang Liu |
| 2022 | FastFlow: AI for Fast Urban Wind Velocity Prediction. | Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi |
| 2022 | Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN). | Yuxuan Li, Chaoyue Zhao, Chenang Liu |
| 2022 | Self-explaining Hierarchical Model for Intraoperative Time Series. | Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu |
| 2022 | On Mean-Optimal Robust Linear Discriminant Analysis. | Xiangyu Li, Hua Wang |
| 2022 | Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2022 | Towards Practical Explainability with Cluster Descriptors. | Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro |
| 2022 | Persona-Based Conversational AI: State of the Art and Challenges. | Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai |
| 2022 | Inconsistency Distillation For Consistency: Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning. | Dunqiang Liu, Shu-Juan Peng, Xin Liu, Lei Zhu, Zhen Cui, Taihao Li |