Table of Contents

• Potential Energy to Improve Link Prediction With Relational Graph Neural NetworksSimone Colombo, Dimitrios Alivanistos, Michael Cochez. [doi]
• Adjoined Networks: A Training Paradigm With Applications to Network CompressionUtkarsh Nath, Shrinu Kushagra, Yingzhen Yang. [doi]
• Neural-Symbolic Reasoning Under Open-World and Closed-World AssumptionsBenedikt Wagner, Artur d'Avila Garcez. [doi]
• Combining Machine Learning With Human Knowledge for Delivery Time EstimationsMarkus Lochbrunner, Hans Friedrich Witschel. [doi]
• Hybrid AI System Delivering Highly Targeted News to Business ProfessionalsAnupriya Ankolekar, David Brunner. [doi]
• Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in MinecraftVinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash. [doi]
• Conceptual Edits as Counterfactual ExplanationsGiorgos Filandrianos, Konstantinos Thomas, Edmund Dervakos, Giorgos Stamou. [doi]
• SemOI2 - Building Adaptive and Cost-Effective Recognition Applications With Semantic AugmentationAchim Reiz, Birger Lantow, Kurt Sandkuhl. [doi]
• Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive ActionsMaëlic Neau, Paulo Santos, Anne-Gwenn Bosser, Nathan Beu, Cédric Buche. [doi]
• ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AIWolfgang Maass 0002, Arturo Castellanos, Monica Chiarini Tremblay, Roman Lukyanenko, Veda C. Storey. [doi]
• Learning Rules With Attributes and Relations in Knowledge GraphsPouya Ghiasnezhad Omran, Zhe Wang 0001, Kewen Wang. [doi]
• Contrastive Visual and Language Translational Embeddings for Visual Relationship DetectionThanh Tran, Paulo E. Santos, David Powers. [doi]
• Do It Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose PneumothoraxGlen Smith, Qiao Zhang, Christopher J. MacLellan. [doi]
• A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature DiscoveryRyan Prater, Emanuele Laurenzi. [doi]
• SFMGNet: A Physics-Based Neural Network To Predict Pedestrian TrajectoriesSakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann, Andreas Reinhardt 0001. [doi]
• Robots With Commonsense: Improving Object Recognition Through Size and Spatial AwarenessAgnese Chiatti, Enrico Motta, Enrico Daga. [doi]
• CalBERT - Code-Mixed Adaptive Language Representations Using BERTAditeya Baral, Ansh Sarkar, Deeksha D, Ashwini M. Joshi. [doi]
• AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid IntelligenceAndreas Martin 0001, Knut Hinkelmann. [doi]
• Collusion Detection in Team-Based Multiplayer GamesLaura Greige, Fernando de Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin, Dilip Varadarajan. [doi]
• KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema ChallengeSuk Joon Hong, Brandon Bennett, Judith Clymo, Lucía Gómez Álvarez. [doi]
• Extracting Knowledge With Constructivist Machine Learning: Conceptual and Procedural ModelsThomas Schmid, Florian Grosse. [doi]
• Agent Smith: Machine Teaching for Building Question Answering AgentsAshok K. Goel 0001, Harshvardhan Sikka, Eric Gregori. [doi]
• Actionable Recommendations for Small Businesses With Hybrid AISudhir Agarwal 0003, Lalla Mouatadid, Anu Sreepathy, Kevin Furbish, Morgen Kimbrell, Mike Gabriel. [doi]
• Using the Strategy Design Pattern for Hybrid AI System DesignStephan Jüngling, Martin Peraic, Cheng Zhu. [doi]
• Decision Transformers for Glut Control in the Active Logic MachineJustin D. Brody, Donald Perlis. [doi]
• The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical CaseMaaike H. T. de Boer, Steven Vethman, Roos M. Bakker, Ajaya Adhikari, Michiel Marcus, Joachim de Greeff, Jasper van der Waa, Tjeerd A. J. Schoonderwoerd, Ioannis Tolios, Emma M. van Zoelen, Fieke Hillerström, Bart Kamphorst. [doi]
• A Framework for Context-Dependent Augmented Reality Applications Using Machine Learning and Ontological ReasoningFabian Muff, Hans-Georg Fill. [doi]
• Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image AnalysisKazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi. [doi]
• Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data InfrastructureAlexander Münzberg, Christian Troost, Daniel Martini, Francisco Mendoza 0004, Rajiv Srivastava, Thomas Berger, Liv Seuring, Nils Reinosch, Thilo Streck, Ansgar Bernardi. [doi]