KI 2023: Advances in Artificial Intelligence
46th German Conference on AI, Berlin, Germany, September 26-29, 2023, Proceedings
Herausgegeben:Seipel, Dietmar; Steen, Alexander
KI 2023: Advances in Artificial Intelligence
46th German Conference on AI, Berlin, Germany, September 26-29, 2023, Proceedings
Herausgegeben:Seipel, Dietmar; Steen, Alexander
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This book constitutes the refereed proceedings of the 46th German Conference on Artificial Intelligence, KI 2023, which took place in Berlin, Germany, in September 2023.The 14 full and 5 short papers presented were carefully reviewed and selected from 78 submissions. The papers deal with research on theory and applications across all methods and topic areas of AI research.
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This book constitutes the refereed proceedings of the 46th German Conference on Artificial Intelligence, KI 2023, which took place in Berlin, Germany, in September 2023.The 14 full and 5 short papers presented were carefully reviewed and selected from 78 submissions. The papers deal with research on theory and applications across all methods and topic areas of AI research.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 14236
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-42607-0
- 1st ed. 2023
- Seitenzahl: 292
- Erscheinungstermin: 8. September 2023
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 446g
- ISBN-13: 9783031426070
- ISBN-10: 303142607X
- Artikelnr.: 68441767
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Lecture Notes in Computer Science 14236
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-42607-0
- 1st ed. 2023
- Seitenzahl: 292
- Erscheinungstermin: 8. September 2023
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 446g
- ISBN-13: 9783031426070
- ISBN-10: 303142607X
- Artikelnr.: 68441767
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
LESS is More: LEan Computing for Selective Summaries.- Optimisation of Matrix Production Recon guration with Reinforcement Learning.- CHA2: CHemistry Aware Convex Hull Autoencoder Towards InverseMolecular Design.- Ontology Pre-training for Poison Prediction.- A novel incremental learning strategy based on synthetic data generated from a random forest.- RECol: Reconstruction Error Columns for Outlier Detection.- Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models.- Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency.- Lost in Dialogue: A Review and Categorization of Current Dialogue System Approaches and Technical Solutions.- Cost-sensitive best subset selection for logistic regression: a mixed-integer conic optimization perspective.- Detecting oors in residential buildings.- A Comparative Study of Video-Based Analysis using Machine Learning for Polyp Classification.- Object Anchoring for Autonomous Robots using the Spatio-Temporal-Semantic Environment Representation SEEREP.- Explanation-Aware Backdoors in a Nutshell.- Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games.- Few-Shot Document-Level Relation Extraction.- Pseudo-Label Selection is a Decision Problem.- Associative Reasoning for Commonsense Knowledge.- Computing Most Likely Scenarios of Qualitative Constraint Networks.- PapagAI: Automated Feedback for Reflective Essays.- Generating Synthetic Dialogues from Prompts to Improve Task-Oriented Dialogue Systems.- Flexible Automation of Quantified Multi-Modal Logics with Interactions.- Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense.- XAI methods in the presence of suppressor variables: a theoretical consideration.
LESS is More: LEan Computing for Selective Summaries.- Optimisation of Matrix Production Recon guration with Reinforcement Learning.- CHA2: CHemistry Aware Convex Hull Autoencoder Towards InverseMolecular Design.- Ontology Pre-training for Poison Prediction.- A novel incremental learning strategy based on synthetic data generated from a random forest.- RECol: Reconstruction Error Columns for Outlier Detection.- Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models.- Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency.- Lost in Dialogue: A Review and Categorization of Current Dialogue System Approaches and Technical Solutions.- Cost-sensitive best subset selection for logistic regression: a mixed-integer conic optimization perspective.- Detecting oors in residential buildings.- A Comparative Study of Video-Based Analysis using Machine Learning for Polyp Classification.- Object Anchoring for Autonomous Robots using the Spatio-Temporal-Semantic Environment Representation SEEREP.- Explanation-Aware Backdoors in a Nutshell.- Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games.- Few-Shot Document-Level Relation Extraction.- Pseudo-Label Selection is a Decision Problem.- Associative Reasoning for Commonsense Knowledge.- Computing Most Likely Scenarios of Qualitative Constraint Networks.- PapagAI: Automated Feedback for Reflective Essays.- Generating Synthetic Dialogues from Prompts to Improve Task-Oriented Dialogue Systems.- Flexible Automation of Quantified Multi-Modal Logics with Interactions.- Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense.- XAI methods in the presence of suppressor variables: a theoretical consideration.