KI 2021: Advances in Artificial Intelligence
Springer International Publishing (Verlag)
978-3-030-87625-8 (ISBN)
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.
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.
| Erscheinungsdatum | 19.10.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVIII, 372 p. 134 illus., 101 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 599 g |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applications • Artificial Intelligence • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Databases • Data Mining • Deep learning • Education • Engineering • Human-Computer Interaction (HCI) • Image Analysis • Image Processing • Informatics • Internet • Knowledge-Based System • learning • machine learning • Mathematics • Neural networks • pattern recognition • Research |
| ISBN-10 | 3-030-87625-X / 303087625X |
| ISBN-13 | 978-3-030-87625-8 / 9783030876258 |
| Zustand | Neuware |
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