AI 2022: Advances in Artificial Intelligence

Synthetic Technical Short Texts.- Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks.- Systematic Monotonicity and Consistency for Adversarial Natural Language Inference.- Understanding Document Data Sources Using Ontologies with Referring Expressions.- Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python.- Belief Revision with Dishonest Reports.- Machine Learning.- Active Learning for kNN using Instance Impact.- Multiclass Malware Classification using either Static Opcodes or Dynamic API Calls.- A Novel Approach to Time Series Complexity via Reservoir Computing.- Boosted Self-Evolving Neural Networks for Pattern Recognition.- Machine learning inspired fault detection of dynamical networks.- Medical AI.- Multiclass Classification for GvHD Prognosis Prior to Allogenic Stem Cell Transplantation.- What Leads to Arrhythmia: Active Causal Representation Learning of ECGClassification.- Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.- Automated Radiology Report Generation using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety.- 3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis.- Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.- Cognitive impairment prediction by normal cognitive brain MRI scans using deep learning.- A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation.- Multi-componential Emotion Recognition in VR Using Physiological Signals.- Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection.- Medical Optimization.- Optimizing the Feature Set for Machine Learning Charitable Predictions.- Operation-based Greedy Algorithm for Discounted KnapsackProblem.- Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach.- Latent Pattern Identification using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization.- Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences.- Reinforcement Learning.- Human-Autonomous Teaming Framework based on Trust Modelling.- Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets.- Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning.- Active Learning Using Difficult Instances.- Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals.- Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach.- A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error.- Examining average and discounted reward optimality criteria in reinforcement learning.