| 2022 | Plotly.plus, an Improved Dataset for Visualization Recommendation. | Luca Podo, Paola Velardi |
| 2022 | How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data. | Periklis Perikleous, Andreas Kafkalias, Zenonas Theodosiou, Pinar Barlas, Evgenia Christoforou, Jahna Otterbacher, Gianluca Demartini, Andreas Lanitis |
| 2022 | SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. | Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine |
| 2022 | PLASMA: A Semantic Modeling Tool for Domain Experts. | Alexander Paulus, Andreas Burgdorf, Tristan Langer, Andr Pomp, Tobias Meisen, Sebastian Pol |
| 2022 | Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data. | Indraneil Paul, Sumit Negi |
| 2022 | Developing a noise-aware AI system for change risk assessment with minimal human intervention. | Subhadip Paul, Anirban Chatterjee, Binay Gupta, Kunal Banerjee |
| 2022 | High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems. | Krishna Kantikiran Pasupuleti, Boris Klots, Vijayakrishnan Nagarajan, Ananthakiran Kandukuri, Nipun Agarwal |
| 2022 | Observability of SQL Hints in Oracle. | Krishna Kantikiran Pasupuleti, Dinesh Das, Satyanarayana R. Valluri, Mohamed Zat |
| 2022 | Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure. | Seongsik Park, Dongkeun Yoon, Harksoo Kim |
| 2022 | GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. | Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao |
| 2022 | Item-based variational auto-encoder for fair music recommendation. | Jinhyeok Park, Dain Kim, Dongwoo Kim |
| 2022 | Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. | Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang |
| 2022 | Applied Machine Learning Methods for Time Series Forecasting. | Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen |
| 2022 | Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels. | Madhura Pande, Vishal Kakkar, Manish Bansal, Surender Kumar, Chinmay Sharma, Himanshu Malhotra, Praneet Mehta |
| 2022 | Multimodal Meta-Learning for Cold-Start Sequential Recommendation. | Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao |
| 2022 | Analysis of Knowledge Transfer in Kernel Regime. | Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani |
| 2022 | Sequence Prediction under Missing Data: An RNN Approach without Imputation. | Soumen Pachal, Avinash Achar |
| 2022 | Identify Relevant Entities Through Text Understanding. | Pooja Oza |
| 2022 | Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation. | Yi Ouyang, Peng Wu, Li Pan |
| 2022 | Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning. | Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell |
| 2022 | Guided Text-based Item Exploration. | Behrooz Omidvar-Tehrani, Aurlien Personnaz, Sihem Amer-Yahia |
| 2022 | Rank List Sensitivity of Recommender Systems to Interaction Perturbations. | Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar |
| 2022 | ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. | Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun |
| 2022 | Implicit Session Contexts for Next-Item Recommendations. | Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2022 | Towards a theoretical formalization of conversational recommendation. | Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo |