| 2023 | On the Impact of Grounding on HTN Plan Verification via Parsing. | Simona Ondrckov, Roman Bartk, Pascal Bercher, Gregor Behnke |
| 2023 | A Review of AutoML Software Tools for Time Series Forecasting and Anomaly Detection. | Christian O'Leary, Farshad Ghassemi Toosi, Conor Lynch |
| 2023 | Strategy Analysis for Competitive Bilateral Multi-Issue Negotiation. | Takuma Oishi, Koji Hasebe |
| 2023 | Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making. | Yoshimasa Ohmoto, Hikaru Nakaaki |
| 2023 | Improving the Human-Likeness of Game AI's Moves by Combining Multiple Prediction Models. | Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda |
| 2023 | Modelling Agents in Industry 4.0 Applications Using Asset Administration Shell. | Nikoletta Nikolova, Sjoerd Rongen |
| 2023 | How Fine Tuning Affects Contextual Embeddings: A Negative Result Explanation. | Ha-Thanh Nguyen, Vu Tran, Minh-Phuong Nguyen, Le-Minh Nguyen, Ken Satoh |
| 2023 | Emotion-Cause Pair Extraction as Question Answering. | Huu-Hiep Nguyen, Minh-Tien Nguyen |
| 2023 | Fully Hidden Dynamic Trigger Backdoor Attacks. | Shintaro Narisada, Seira Hidano, Kazuhide Fukushima |
| 2023 | Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images. | Fatima Zahrae Nakach, Ali Idri, Hasnae Zerouaoui |
| 2023 | A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks. | Fatima Zahrae Nakach, Ali Idri |
| 2023 | RDC-Repair: Towards a Relevance-Driven Approach for Data and Constraints Repair. | Nibel Nadjeh, Sabrina Abdellaoui, Fahima Nader |
| 2023 | CSP-DC: Data Cleaning via Constraint Satisfaction Problem Solving. | Nibel Nadjeh, Sabrina Abdellaoui, Fahima Nader |
| 2023 | Automatic Detection of Implicit and Typical Implementation of Singleton Pattern Based on Supervised Machine Learning. | Abir Nacef, Sahbi Bahroun, Adel Khalfallah, Samir Ben Ahmed |
| 2023 | Scenario Generation With Transitive Rules for Counterfactual Event Analysis. | Aigerim Mussina, Paulo Trigo, Sanzhar Aubakirov |
| 2023 | Proposal of a Signal Control Method Using Deep Reinforcement Learning with Pedestrian Traffic Flow. | Akimasa Murata, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga |
| 2023 | Multi-Agent Parking Problem with Sequential Allocation. | Aniello Murano, Silvia Stranieri, Munyque Mittelmann |
| 2023 | Video Game Agents with Human-like Behavior using the Deep Q-Network and Biological Constraints. | Takahiro Morita, Hiroshi Hosobe |
| 2023 | Automated Agent Migration over Distributed Data Structures. | Vishnu Mohan, Anirudh Potturi, Munehiro Fukuda |
| 2023 | Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images. | Sreenivasan Mohandas, Naresh Manwani |
| 2023 | An Application of Priority-Based Lightweight Ontology Merging. | Rim Mohamed, Truong-Thanh Ma, Zied Bouraoui |
| 2023 | Coverage-Guided Fuzzing for Plan-Based Robotics. | Tim Meywerk, Vladimir Herdt, Rolf Drechsler |
| 2023 | Shrinking the Inductive Programming Search Space with Instruction Subsets. | Edward McDaid, Sarah McDaid |
| 2023 | Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem. | Kohei Matsumoto, Keisuke Yoneda, Toshiharu Sugawara |
| 2023 | Study on Decentralized Anytime Evolutionary Algorithm for DCOPs Containing Adversarial Agents. | Toshihiro Matsui |