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ORCIDAAAI Spring Symposium MAKE 2020: Palo Alto, CA, USA - Volume I
- Andreas Martin, Knut Hinkelmann, Hans-Georg Fill
, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, AAAI-MAKE 2020, Palo Alto, CA, USA, March 23-25, 2020, Volume I. CEUR Workshop Proceedings 2600, CEUR-WS.org 2020 - Andreas Martin, Knut Hinkelmann:
Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium.
Regular Papers
- Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers:
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. - Stephan Jüngling, Martin Peraic, Andreas Martin:
Towards AI-based Solutions in the System Development Lifecycle. - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. - Miao Chen, Fang Du, Ganhui Lan, Victor S. Lobanov:
Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis. - Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler:
Completion Reasoning Emulation for the Description Logic EL+. - Ryan Regier, Owen Price, Alex Hadi, Zachary Faltersack, Andrew Nuxoll:
ARO: A Memory-Based Approach to Environments with Perceptual Aliasing. - Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis A. Argyros, Nick Bassiliades, Dimitris Plexousakis:
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning. - Yuval Zak, Yisrael Parmet, Tal Oron-Gilad:
GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles. - Hans-Georg Fill, Felix Härer:
Supporting Trust in Hybrid Intelligence Systems Using Blockchains. - Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala:
Common-Knowledge Concept Recognition for SEVA. - Thomas Schmid:
Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning. - Ole Meyer, Marc Hesenius, Volker Gruhn:
Using Concepts to Understand Intelligent Agents. - Sterling Somers, Alessandro Oltramari, Christian Lebiere:
Cognitive Twin: A Cognitive Approach to Personalized Assistants. - Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. - Jinendra K. Gugaliya, Rahul Kumar Vij, Srini Ramaswamy, Lakshwin Shreesha M. K:
Multi-PCA Driven Approach for Fault Detection and Root Cause Analysis of Process Equipment. - Summaya Mumtaz, Martin Giese:
Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data. - Pavel Myznikov:
Case-Based System of User Interface Reverse Engineering. - Soumya Suvra Ghosal, Indranil Sarkar:
Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM). - Edgar Robles, Fatima Zaidouni, Aliki Mavromoustaki, Payam Refael:
Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events using Predicted Positive Data. - Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi, Giuseppe Rizzo:
Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots. - Yo Ehara:
Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners.
Short Papers
- Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich:
PODNet: A Neural Network for Discovery of Plannable Options. - Srishti Tomar, Ryan Compton:
Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings. - Rainer Telesko, Stephan Jüngling, Phillip Gachnang:
Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning. - Yuyao Wang, Masayoshi Mase, Masashi Egi:
Attribution-based Salience Method towards Interpretable Reinforcement Learning. - Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita:
Hitachi Materials Informatics Analytics Platform Assisting Rapid Development. - Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata:
EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering. - Chia Zheng Lin, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski:
A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques. - Changlong Sun, Yating Zhang, Qiong Zhang, Xiaozhong Liu:
Legal Artificial Intelligence - Have You Lost a Piece from Jigsaw Puzzle? - Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng:
Tutor4RL: Guiding Reinforcement Learning with External Knowledge.
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