KI 2023 – Accepted Papers

Magnus Bender, Tanya Braun, Ralf Möller and Marcel Gehrke. LESS is More: LEan Computing for Selective Summaries

Martin Glauer, Fabian Neuhaus, Till Mossakowski and Janna Hastings. Ontology Pre-training for Poison Prediction

Jordan Gonzalez, Fatoumata Dama and Laurent Cervoni. A novel incremental learning strategy based on synthetic data generated from a random forest

Dayananda Herurkar, Mario Meier and Joern Hees. RECol: Reconstruction Error Columns for Outlier Detection

Hannes Kath, Bengt Lüers, Thiago S. Gouvêa and Daniel Sonntag. Lost in Dialogue: A Review and Categorization of Current Dialogue System Approaches and Technical Solutions

Ricardo Knauer and Erik Rodner. Cost-sensitive best subset selection for logistic regression: a mixed-integer conic optimization perspective

Aruscha Kramm, Julia Friske and Eric Peukert. Detecting floors in residential buildings

Adrian Krenzer and Frank Puppe. A Comparative Study of Video-Based Analysis using Machine Learning for Polyp Classification

Mark Niemeyer, Marian Renz and Joachim Hertzberg. Object Anchoring for Autonomous Robots using the Spatio-Temporal-Semantic Environment Representation SEEREP

Claudia Schon. Associative Reasoning for Commonsense Knowledge

Tobias Schwartz and Diedrich Wolter. Computing Most Likely Scenarios of Qualitative Constraint Networks

Christoph Albert Johns, Michael Barz and Daniel Sonntag. Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models

Melanie Taprogge and Alexander Steen. Flexible Automation of Quantified Multi-Modal Logics with Interactions

Nils Wilken, Lea Cohausz, Christian Bartelt and Heiner Stuckenschmidt. Planning Landmark Based Goal Recognition Revisited: Does Using Trivial Landmarks Make Sense?

Leonhard Czarnetzki, Catherine Laflamme, Christoph Halbwidl, Lisa Charlotte Günther, Thomas Sobottka and Daniel Bachlechner. Optimisation of Matrix Production Reconfiguration with Reinforcement Learning

Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu and Hsu Kiang Ooi. CHA2: CHemistry Aware Convex Hull Autoencoder for Inverse Molecular Design

Md Abdul Kadir, Gowthamkrishna Addluri and Daniel Sonntag. Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency

Veronika Solopova, Adrian Gruszczynski, Eiad Rostom, Fritz Cremer, Sascha Witte, Chengming Zhang, Florian Hofmann, Ralf Romeike, Michaela Gläser-Zikuda, Christoph Benzmüller, Tim Landgraf and Lea Plößl. PapagAI: Automated Feedback for Reflective Essays

Sebastian Steindl, Ulrich Schäfer and Bernd Ludwig. Generating Synthetic Dialogues from Prompts to Improve Task Oriented Dialogue Systems

Maximilian K. Noppel and Christian Wressnegger. Explanation-Aware Backdoors in a Nutshell

Michael Oesterle and Guni Sharon. Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games

Nicholas Popovic and Michael Färber. Few-Shot Document-Level Relation Extraction

Julian Rodemann. Pseudo Label Selection is a Decision Problem

Rick Wilming, Leo Kieslich, Benedict Clark and Stefan Haufe. XAI methods in the presence of suppressor variables: a theoretical consideration