Table of Contents

• Automated On-Vehicle Road Defect Data Collection and DetectionZachary Todd, Heyang Thomas Li. 3-14 [doi]
• Vision Transformer Based Model for Describing a Set of Images as a StoryZainy M. Malakan, Ghulam Mubashar Hassan, Ajmal Mian. 15-28 [doi]
• Diverse Audio-to-Video GAN using Multiscale Image FusionNuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi. 29-42 [doi]
• Zero-shot Personality Perception From Facial ImagesPeter Zhuowei Gan, Arcot Sowmya, Gelareh Mohammadi. 43-56 [doi]
• Multi-view Based Clustering of 3D LiDAR Point Clouds for Intelligent VehiclesHaoxiang Jie, Zuotao Ning, Qixi Zhao, Wei Liu, Jun Hu, Jian Gao. 57-70 [doi]
• FDGATII: Fast Dynamic Graph Attention with Initial Residual and IdentityGayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra. 73-86 [doi]
• SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph GenerationAnh Duc Bui, Soyeon Caren Han, Josiah Poon. 87-101 [doi]
• Explainable Detection of Microplastics Using Transformer Neural NetworksMax Barker, Meg Willans, Duc-Son Pham 0001, Aneesh Krishna, Mark J. Hackett. 102-115 [doi]
• EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture SearchJunhao Huang, Bing Xue 0001, Yanan Sun 0001, Mengjie Zhang 0001. 116-130 [doi]
• Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks LearningLinzhe Cai, Xinghuo Yu 0001, Chaojie Li, Andrew C. Eberhard, Lien Thuy Nguyen, Thai Doan Chuong. 131-144 [doi]
• The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card GamesDavid Adams. 145-160 [doi]
• Are Graph Neural Network Explainers Robust to Graph Noises?Yiqiao Li, Sunny Verma, Shuiqiao Yang, Jianlong Zhou, Fang Chen 0001. 161-174 [doi]
• Towards Explainable AutoML Using Error DecompositionCaitlin A. Owen, Grant Dick, Peter A. Whigham. 177-190 [doi]
• Does a Compromise on Fairness Exist in Using AI Models?Jianlong Zhou, Zhidong Li, Chun-Xiao, Fang Chen 0001. 191-204 [doi]
• Fairness Aware Swarm-based Machine Learning for Data StreamsDiem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon. 205-219 [doi]
• Explainable Network Intrusion Detection Using External Memory ModelsJack Hutchison, Duc-Son Pham 0001, Sieteng Soh, Huo-Chong Ling. 220-233 [doi]
• Handling Different Preferences Between Objectives for Multi-objective Feature Selection in ClassificationRuwang Jiao, Bing Xue 0001, Mengjie Zhang 0001. 237-251 [doi]
• Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community DetectionAnjali de Silva, Aaron Chen, Hui Ma 0001, Mohammad Nekooei. 252-265 [doi]
• Evolution Strategies for Sparse Reward Gridworld EnvironmentsGlennn Moy, Slava Shekh. 266-278 [doi]
• Niching-Assisted Genetic Programming for Finding Multiple High-Quality ClassifiersPeng Wang, Bing Xue 0001, Jing J. Liang, Mengjie Zhang 0001. 279-293 [doi]
• Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic ProgrammingQinglan Fan, Ying Bi, Bing Xue 0001, Mengjie Zhang 0001. 294-307 [doi]
• QUARRY: A Graph Model for Queryable Association RulesMichael Stewart. 311-324 [doi]
• Using Context-Free Grammar to Generate Synthetic Technical Short TextsTyler Bikaun, Michael Stewart, Melinda Hodkiewicz. 325-338 [doi]
• Predicting Marimba Stickings Using Long Short-Term Memory Neural NetworksJet Kye Chong, Débora C. Corrêa. 339-352 [doi]
• Systematic Monotonicity and Consistency for Adversarial Natural Language InferenceBrahmani Nutakki, Akshay Badola, Vineet Padmanabhan. 353-366 [doi]
• Understanding Document Data Sources Using Ontologies with Referring ExpressionsAlexander Borgida, Enrico Franconi, David Toman 0001, Grant E. Weddell. 367-380 [doi]
• Tyche: A Library for Probabilistic Reasoning and Belief Modelling in PythonPadraig X. Lamont. 381-396 [doi]
• Belief Revision with Dishonest ReportsAaron Hunter. 397-410 [doi]
• Active Learning for kNN Using Instance ImpactSayed Waleed Qayyumi, Laurence A. F. Park, Oliver Obst. 413-426 [doi]
• Multiclass Malware Classification Using Either Static Opcodes or Dynamic API CallsRajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan. 427-441 [doi]
• A Novel Approach to Time Series Complexity via Reservoir ComputingBraden Thorne, Thomas Jüngling, Michael Small, Débora C. Corrêa, Ayham A. Zaitouny. 442-455 [doi]
• Boosted Self-evolving Neural Networks for Pattern RecognitionBrendon J. Woodford. 456-469 [doi]
• Machine Learning Inspired Fault Detection of Dynamical NetworksEugene Tan, Débora C. Corrêa, Thomas Stemler, Michael Small. 470-483 [doi]
• Multiclass Classification for GvHD Prognosis Prior to Allogeneic Stem Cell TransplantationMd. Asif Bin Khaled, Md. Junayed Hossain, Saifur Rahman, Jannatul Ferdaus. 487-500 [doi]
• What Leads to Arrhythmia: Active Causal Representation Learning of ECG ClassificationShaofei Shen, Weitong Chen, Miao Xu. 501-515 [doi]
• Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning ApproachJesse Wood, Bach Hoai Nguyen, Bing Xue 0001, Mengjie Zhang 0001, Daniel Killeen. 516-529 [doi]
• Automated Radiology Report Generation Using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical SafetyBrandon Abela, Jumana Abu-Khalaf, Chi-Wei Robin Yang, Martin Masek, Ashu Gupta. 530-543 [doi]
• 3D Face Reconstruction with Mobile Phone Cameras for Rare Disease DiagnosisYiwei Liu, Ling Li 0006, Senjian An, Petra Helmholz, Richard Palmer, Gareth Baynam. 544-556 [doi]
• Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 DiabetesChirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki. 557-570 [doi]
• Cognitive Impairment Prediction by Normal Cognitive Brain MRI Scans Using Deep LearningJustin Bardwell, Ghulam Mubashar Hassan, Farzaneh Salami, Naveed Akhtar. 571-584 [doi]
• A Text-Independent Forced Alignment Method for Automatic Phoneme SegmentationBryce Wohlan, Duc-Son Pham 0001, Kit Yan Chan, Roslyn Ward. 585-598 [doi]
• Multi-componential Emotion Recognition in VR Using Physiological SignalsRukshani Somarathna, Aaron Quigley, Gelareh Mohammadi. 599-613 [doi]
• Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature SelectionMd. Asif Bin Khaled, Md. Mahin Rahman, Md. Golam Quaiyum, Sumiya Akter. 614-627 [doi]
• Optimizing the Feature Set for Machine Learning Charitable PredictionsGreg Lee, Jordan Pippy, Mark Hobbs. 631-645 [doi]
• Operation-based Greedy Algorithm for Discounted Knapsack ProblemBinh Thanh Dang, Bach Hoai Nguyen, Peter Andreae. 646-660 [doi]
• Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning ApproachYuguang Zhao, Gang Chen 0002, Hui Ma 0001, Xingquan Zuo, Guanqun Ai. 661-674 [doi]
• Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix FactorizationAnandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Anand Paul 0001, Richi Nayak. 675-689 [doi]
• Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location PreferencesMartin Aleksandrov, Philip Kilby. 690-703 [doi]
• Human-Autonomous Teaming Framework Based on Trust ModellingWenhao Ma, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin. 707-718 [doi]
• Using Uncertainty as a Defense Against Adversarial Attacks for Tabular DatasetsPoornima Santhosh, Gilad Gressel, Michael C. Darling. 719-732 [doi]
• Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement LearningMuhammad Talha, Aya Hussein, Mohammed Hossny. 733-746 [doi]
• Active Learning Using Difficult InstancesBowen Chen, Yun Sing Koh, Ben Halstead. 747-760 [doi]
• Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic GoalsShadi Abpeikar, Kathryn Kasmarik, Matt Garratt. 761-774 [doi]
• Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering ApproachRebekka Olsson Omslandseter, Lei Jiao 0001, B. John Oommen. 775-788 [doi]
• A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference ErrorMuhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri. 789-799 [doi]
• Examining Average and Discounted Reward Optimality Criteria in Reinforcement LearningVektor Dewanto, Marcus Gallagher. 800-813 [doi]