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Publication search results
found 30 matches
- 2022
- Andreas Martin, Knut Hinkelmann:
AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence. AAAI Spring Symposium: MAKE 2022 - Ashok K. Goel, Harshvardhan Sikka, Eric Gregori:
Agent Smith: Machine Teaching for Building Question Answering Agents. AAAI Spring Symposium: MAKE 2022 - Wolfgang Maass, Arturo Castellanos, Monica Chiarini Tremblay, Roman Lukyanenko, Veda C. Storey:
ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI. AAAI Spring Symposium: MAKE 2022 - Sudhir Agarwal, Lalla Mouatadid, Anu Sreepathy, Kevin Furbish, Morgen Kimbrell, Mike Gabriel:
Actionable Recommendations for Small Businesses With Hybrid AI. AAAI Spring Symposium: MAKE 2022 - Anupriya Ankolekar, David Brunner:
Hybrid AI System Delivering Highly Targeted News to Business Professionals. AAAI Spring Symposium: MAKE 2022 - Aditeya Baral, Ansh Sarkar, Deeksha D, Ashwini M. Joshi:
CalBERT - Code-Mixed Adaptive Language Representations Using BERT. AAAI Spring Symposium: MAKE 2022 - Maaike 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:
The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. AAAI Spring Symposium: MAKE 2022 - Justin D. Brody, Donald Perlis:
Decision Transformers for Glut Control in the Active Logic Machine. AAAI Spring Symposium: MAKE 2022 - Agnese Chiatti, Enrico Motta, Enrico Daga:
Robots With Commonsense: Improving Object Recognition Through Size and Spatial Awareness. AAAI Spring Symposium: MAKE 2022 - Simone Colombo, Dimitrios Alivanistos, Michael Cochez:
Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. AAAI Spring Symposium: MAKE 2022 - Giorgos Filandrianos, Konstantinos Thomas, Edmund Dervakos, Giorgos Stamou:
Conceptual Edits as Counterfactual Explanations. AAAI Spring Symposium: MAKE 2022 - Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash:
Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. AAAI Spring Symposium: MAKE 2022 - Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin, Dilip Varadarajan:
Collusion Detection in Team-Based Multiplayer Games. AAAI Spring Symposium: MAKE 2022 - Suk Joon Hong, Brandon Bennett, Judith Clymo, Lucía Gómez Álvarez:
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge. AAAI Spring Symposium: MAKE 2022 - Sakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann, Andreas Reinhardt:
SFMGNet: A Physics-Based Neural Network To Predict Pedestrian Trajectories. AAAI Spring Symposium: MAKE 2022 - Stephan Jüngling, Martin Peraic, Cheng Zhu:
Using the Strategy Design Pattern for Hybrid AI System Design. AAAI Spring Symposium: MAKE 2022 - Markus Lochbrunner, Hans Friedrich Witschel:
Combining Machine Learning With Human Knowledge for Delivery Time Estimations. AAAI Spring Symposium: MAKE 2022 - Fabian Muff, Hans-Georg Fill:
A Framework for Context-Dependent Augmented Reality Applications Using Machine Learning and Ontological Reasoning. AAAI Spring Symposium: MAKE 2022 - Alexander Münzberg, Christian Troost, Daniel Martini, Francisco Mendoza, Rajiv Kumar Srivastava, Thomas Berger, Liv Seuring, Nils Reinosch, Thilo Streck, Ansgar Bernardi:
Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure. AAAI Spring Symposium: MAKE 2022 - Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang:
Adjoined Networks: A Training Paradigm With Applications to Network Compression. AAAI Spring Symposium: MAKE 2022 - Maëlic Neau, Paulo E. Santos, Anne-Gwenn Bosser, Nathan Beu, Cédric Buche:
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions. AAAI Spring Symposium: MAKE 2022 - Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang:
Learning Rules With Attributes and Relations in Knowledge Graphs. AAAI Spring Symposium: MAKE 2022 - Ryan Prater, Emanuele Laurenzi:
A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery. AAAI Spring Symposium: MAKE 2022 - Achim Reiz, Birger Lantow, Kurt Sandkuhl:
SemOI2 - Building Adaptive and Cost-Effective Recognition Applications With Semantic Augmentation. AAAI Spring Symposium: MAKE 2022 - Thomas Schmid, Florian Grosse:
Extracting Knowledge With Constructivist Machine Learning: Conceptual and Procedural Models. AAAI Spring Symposium: MAKE 2022 - Glen Smith, Qiao Zhang, Christopher J. MacLellan:
Do It Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax. AAAI Spring Symposium: MAKE 2022 - Thanh Tran, Paulo E. Santos, David Powers:
Contrastive Visual and Language Translational Embeddings for Visual Relationship Detection. AAAI Spring Symposium: MAKE 2022 - Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi:
Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis. AAAI Spring Symposium: MAKE 2022 - Benedikt Wagner, Artur S. d'Avila Garcez:
Neural-Symbolic Reasoning Under Open-World and Closed-World Assumptions. AAAI Spring Symposium: MAKE 2022 - Andreas Martin, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-23, 2022. CEUR Workshop Proceedings 3121, CEUR-WS.org 2022 [contents]
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