AAAI-MAKE 2020
Combining Machine Learning and Knowledge Engineering in Practice - Volume I: Spring Symposium

Table of Contents

• Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium
  Andreas Martin, Knut Hinkelmann

Regular Papers

• Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
  Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
• Towards AI-based Solutions in the System Development Lifecycle
  Stephan Jüngling, Martin Peraic, Andreas Martin
• An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
  Ruwan Wickramarachchi, Cory Henson, Amit Sheth
• Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis
  Miao Chen, Fang Du, Ganhui Lan, Victor Lobanov
• Completion Reasoning Emulation for the Description Logic EL+
  Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler
• ARO: A Memory-Based Approach to Environments with Perceptual Aliasing
  Ryan Regier, Owen Price, Alex Hadi, Zachary Faltersack, Andrew Nuxoll
• A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
  Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros, Nick Bassiliades, Dimitris Plexousakis
• GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles
  Yuval Zak, Yisrael Parmet, Tal Oron-Gilad
• Supporting Trust in Hybrid Intelligence Systems Using Blockchains
  Hans-Georg Fill, Felix Härer
• Common-Knowledge Concept Recognition for SEVA
  Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
• Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning
  Thomas Schmid
• Using Concepts to Understand Intelligent Agents
  Ole Meyer, Marc Hesenius, Volker Gruhn
• Cognitive Twin: A Cognitive Approach to Personalized Assistants
  Sterling Somers, Alessandro Oltramari, Christian Lebiere
• Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
  Ugur Kursuncu, Manas Gaur, Amit Sheth
• Multi-PCA Driven Approach for Fault Detection and Root Cause Analysis of Process Equipment
  Jinendra K Gugaliya, Rahul Kumar Vij, Srini Ramaswamy, Lakshwin Shreesha M K
• Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data
  Summaya Mumtaz, Martin Giese
• Case-Based System of User Interface Reverse Engineering
  Pavel Myznikov
• Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM)
  Soumya Suvra Ghosal, Indranil Sarkar
• Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events using Predicted Positive Data
  Edgar Robles, Fatima Zaidouni, Aliki Mavromoustaki, Payam Refael
• Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots
  Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi, Giuseppe Rizzo
• Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners
  Yo Ehara

Short Papers

• PODNet: A Neural Network for Discovery of Plannable Options (short paper)
  Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
• Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings (short paper)
  Srishti Tomar, Ryan Compton
• Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning (short paper)
  Rainer Telesko, Stephan Jüngling, Phillip Gachnang
• Attribution-based Salience Method towards Interpretable Reinforcement Learning (short paper)
  Yuyao Wang, Masayoshi Mase, Masashi Egi
• Hitachi Materials Informatics Analytics Platform Assisting Rapid Development (short paper)
  Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita
• EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering (short paper)
  Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata
• A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques (short paper)
  Chia Zheng Lin, Michal Ptaszynski, Masui Fumito, Gniewosz Leliwa, Michal Wroczynski
• Legal Artificial Intelligence - Have You Lost a Piece from Jigsaw Puzzle? (short paper)
  Changlong Sun, Yating Zhang, Qiong Zhang, Xiaozhong Liu
• Tutor4RL: Guiding Reinforcement Learning with External Knowledge (short paper)
  Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng