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ORCIDAAAI Spring Symposium 2021 - Combining Machine Learning with Knowledge Engineering: Stanford University, Palo Alto, CA, USA
- Andreas Martin, Knut Hinkelmann, Hans-Georg Fill
, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021. CEUR Workshop Proceedings 2846, CEUR-WS.org 2021 - Andreas Martin, Knut Hinkelmann:
AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering.
Regular Papers
- David Leake, Xiaomeng Ye, David J. Crandall:
Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation. - David Morandi, Stephan Jüngling:
Anomaly Detection in Railway Infrastructure. - Gertjan J. Burghouts, Fieke Hillerström:
ZERO - Detect objects without training examples by knowing their parts. - Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. - Benedikt Wagner, Artur S. d'Avila Garcez:
Neural-Symbolic Integration for Fairness in AI. - Miriam Herold, Mirjam Minor:
Ontology-based Transfer Learning in the Airport and Warehouse Logistics Domains. - Agnese Chiatti, Enrico Motta, Enrico Daga, Gianluca Bardaro:
Fit to Measure: Reasoning About Sizes for Robust Object Recognition. - Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Aaron Eberhart, Derek Doran, HyeongSik Kim, Pascal Hitzler:
Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment. - Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters. - Arturo Castellanos, Alfred Castillo, Monica Chiarini Tremblay, Roman Lukyanenko, Jeffrey Parsons, Veda C. Storey:
Improving Machine Learning Performance Using Conceptual Modeling. - Carlo Mehli, Knut Hinkelmann, Stephan Jüngling:
Decision Support combining Machine Learning, Knowledge Representation and Case-Based Reasoning. - Maaike H. T. de Boer, Fieke Hillerström:
Hybrid AI using Graph Neural Networks in Scene Classification. - Thomas Schmid:
Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process. - Jip J. van Stijn, Mark A. Neerincx, Annette ten Teije, Steven Vethman:
Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation. - Philipp Behnen, Felix Kruse, Jorge Marx Gómez:
Enhancement of Record Linkage by Using Attributes containing Natural Language Text. - Johannes Sahlin, Håkan Sundell, Håkan Alm, Jesper Holgersson:
Evaluating Artificial Short Message Service Campaigns Through Rule Based Multi-instance Multi-label Classification. - Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi:
Capturing Knowledge of Emerging Entities from Extended Search Snippets. - Sutapa Mondal, Sumit Bhatia, Raghava Mutharaju:
EmEL++: Embeddings for EL++ Description Logic. - William Broniec, Sungeun An, Spencer Rugaber, Ashok K. Goel:
Guiding Parameter Estimation of Agent-Based Modeling Through Knowledge-Based Function Approximation. - Dorothea Tsatsou, Konstantinos Karageorgos, Anastasios Dimou, Javier Carbó, José M. Molina López, Petros Daras:
Towards Unsupervised Knowledge Extraction. - Ole-Edvard Ørebæk, Marius Geitle:
Exploring the Hyperparameters of XGBoost Through 3D Visualizations. - Charuta Pande, Hans Friedrich Witschel, Andreas Martin, Devid Montecchiari:
Hybrid Conversational AI for Intelligent Tutoring Systems. - Edmund Dervakos, Giorgos Filandrianos, Konstantinos Thomas, Alexios Mandalios, Chrysoula Zerva, Giorgos Stamou:
Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR. - Mahin Ramezani, Guru Ilangovan, Hye-Chung Kum:
Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System. - Arzam Kotriwala, Benjamin Klöpper, Marcel Dix, Gayathri Gopalakrishnan, Dawid Ziobro, Andreas Potschka:
XAI for Operations in the Process Industry - Applications, Theses, and Research Directions. - Shaban Shabani, Zarina Charlesworth, Maria Sokhn, Heiko Schuldt:
SAMS: Human-in-the-loop Approach to Combat the Sharing of Digital Misinformation. - Sophie Neutel, Maaike H. T. de Boer:
Towards Automatic Ontology Alignment using BERT. - Deepak Nagaraj, Rhett Dobinson, Dirk Werth:
Towards Kinematically Constrained Real Time Human Pose Estimation using Sparse IMUs. - Raymond J. Mooney, Jude W. Shavlik:
A Recap of Early Work on Theory and Knowledge Refinement. - Meghamala Sinha, Stephen A. Ramsey:
Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning. - Sheikh Rabiul Islam, William Eberle:
Implications of Combining Domain Knowledge in Explainable Artificial Intelligence. - Jan Meiswinkel, Patrick Levi, Rainer Hoch:
The Significance of Computational Performance for Enterprise AI in Question-Answering. - Guusje Boomgaard, Selene Baez Santamaría, Ilaria Tiddi, Robert-Jan Sips, Zoltán Szlávik:
Learning Profile-Based Recommendations for Medical Search Auto-Complete. - Joachim de Greeff, Maaike H. T. de Boer, Fieke H. J. Hillerström, Freek Bomhof, Wiard Jorritsma, Mark A. Neerincx:
The FATE System: FAir, Transparent and Explainable Decision Making. - Hossein Rahnama, Marjan Alirezaie, Alex Pentland:
A Neural-Symbolic Approach for User Mental Modeling: A Step Towards Building Exchangeable Identities. - Amit Bhatia, Alessandro Pinto:
Automated Construction of Knowledge-Bases for Safety Critical Applications: Challenges and Opportunities. - René Keßler, Christian Melching, Ralph Goehrs, Jorge Marx Gómez:
Using Camera-Drones and Artificial Intelligence to Automate Warehouse Inventory. - Achim Reiz, Mohamad Albadawi, Kurt Sandkuhl, Matthias Vahl, Dennis Sidin:
Towards More Robust Fashion Recognition by Combining of Deep-Learning-Based Detection with Semantic Reasoning.
Demonstration Abstracts
- Margaret Warren, David A. Shamma, Patrick J. Hayes:
Knowledge Engineering with Image Data in Real-World Settings.
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