| 2022 | Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. | Narges Manouchehri, Nizar Bouguila |
| 2022 | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. | Rajesh Manicavasagam, Prabin B. Lamichhane, Prajjwal Kandel, Douglas A. Talbert |
| 2022 | MineObserver: A Deep Learning Framework for Assessing Natural Language Descriptions of Minecraft Imagery. | Jay Mahajan, Samuel Hum, Jeffrey Ginger, H. Chad Lane |
| 2022 | Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language. | merson Lopes, Larissa A. de Freitas, Gabriel Almeida Gomes, Gernimo Lemos, Luiz Otvio Alves Hammes, Ulisses Brisolara Corra |
| 2022 | A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days. | Jinxiang Liu, Laura E. Brown |
| 2022 | The Role of Higher Education for the Ethical AI Society. | Ji-Hun Lim, Jeongeun Seo, Hun Yeong Kwon |
| 2022 | Review of the Validity and Rationality of Artificial Intelligence Regulation Application of the EU's AI Regulation Bill to Accidents Caused by Artificial Intelligence. | Eugene Lim, Hyesung Park, Beopyeon Kim |
| 2022 | Stemming the Tide of Fake News about the COVID-19 Pandemic. | Alen Chih-Yuan Li, Soon Ae Chun, James Geller |
| 2022 | COM-MABs: From Users' Feedback to Recommendation. | Alexandre Letard, Tassadit Amghar, Olivier Camp, Nicolas Gutowski |
| 2022 | Gaussian Mixture Model with Weighted Data for Learning by Demonstration. | Amlie Legeleux, Cdric Buche, Dominique Duhaut |
| 2022 | Ready for Battle?: Legal Considerations for Upcoming AI Hacker and Vulnerability Issues. | Jinmyeong Lee, SangPil Yoon |
| 2022 | An Introduction to Graph Neural Networks. | Alina Lazar |
| 2022 | Sparse Predictive Hierarches: An Alternative to Deep Learning. | Eric Laukien |
| 2022 | Exploration of AI-enabled Contents for Undergraduate Cyber Security Programs. | Ramoni O. Lasisi, Matthew Menia, Zachary Farr, Corey Jones |
| 2022 | Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes. | Joshua A. Lapso, Gilbert L. Peterson |
| 2022 | Less is More: Decision Making & Information Sharing Under Severe Uncertainty. | Gene Lam, Arthur Paul Pedersen |
| 2022 | Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis. | Prabin B. Lamichhane, Hannah Mannering, William Eberle |
| 2022 | Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. | Rahol Kumar, Alexander Schultheis, Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann |
| 2022 | Aggregation of Hierarchically-Organized Agents in a Multi-Agent System. | Sarah N. Kitchen, Keith Brawner |
| 2022 | The Logic of Hebbian Learning. | Caleb Kisby, Sal A. Blanco, Lawrence S. Moss |
| 2022 | Reinforcement learning algorithms for the Untangling of Braids. | Abdullah Khan, Alexei Vernitski, Alexei Lisitsa |
| 2022 | Behaving Like Soldiers A Multi-Agent System Approach to Course of Action Planning for Simulated Military Units. | Robert Kewley, Chris Argenta, Keith Brawner |
| 2022 | FLAIRS-35 Invited Talk Abstracts. | Fazel Keshtkar |
| 2022 | Preface. | Fazel Keshtkar |
| 2022 | Pedestrian Traffic Prediction using Deep Learning. | Riddhi Joshi, Daniel Silver |