KI 2021: Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected from 59 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.

Inhalt
Circulant Maximum Variance Bases.- Quantified Boolean Solving for Achievement Games.- Knowledge Graph Based Question Answering System for Financial Securities.- Semi-unsupervised Learning: An In-depth Parameter Analysis.- Combining Transformer Generators with Convolutional Discriminators.- Explanation as a process: user-centric construction of multi-level and multi-modal explanations.- Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations.- A high-speed neural architecture search considering the number of weights.- Semantic Segmentation of Aerial Images using Binary Space Partitioning.- EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data.- Selective Pseudo-label Clustering.- Crop it, but not too much: the effects of mask-based image preprocessing on the classification of skin lesions . . . . A Demonstrator for Interactive Image Clustering and Fine-Tuning Neural Networks in Virtual Reality.- HUI-Audio-Corpus-German: A high quality TTS dataset.- Negation in Cognitive Reasoning.- Learning to Detect Adversarial Examples Based on Class Scores.- An agent architecture for knowledge discovery and evolution.- Demystifying Artificial Intelligence for End-Users: Findings from a Participatory Machine Learning Show.- Recent Advances in Counting and Sampling Markov Equivalent DAGs.- Approach to Reduce the Number of Conditional Independence Tests in the PC Algorithm.- Unsupervised Anomaly Detection for Financial Auditing with Model-Agnostic Explanations.- Approximation of Symmetries in Dynamic Probabilistic Relational Models.- Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata.- Critic Guided Segmentation of Rewarding Objects in First-Person Views.-Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction.- BehavE: Behaviour Understanding through Automated Generation of Situation Models.