AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)

Keyphrases

Publications

2020

Yuyao Wang, Masayoshi Mase, Masashi Egi
Attribution-based Salience Method towards Interpretable Reinforcement Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Edgar Robles, Fatima Zaidouni, Aliki Mavromoustaki, Payam Refael
Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events using Predicted Positive Data. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Summaya Mumtaz, Martin Giese
Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
Common-Knowledge Concept Recognition for SEVA. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Ryan Regier, Owen Price, Alex Hadi, Zachary Faltersack, Andrew Nuxoll
ARO: A Memory-Based Approach to Environments with Perceptual Aliasing. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Soumya Suvra Ghosal, Indranil Sarkar
Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM). AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Stephan Jüngling, Martin Peraic, Andreas Martin
Towards AI-based Solutions in the System Development Lifecycle. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Andreas Martin, Knut Hinkelmann
Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Ugur Kursuncu, Manas Gaur, Amit P. Sheth
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Rainer Telesko, Stephan Jüngling, Phillip Gachnang
Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Srishti Tomar, Ryan Compton
Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita
Hitachi Materials Informatics Analytics Platform Assisting Rapid Development. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
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. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Yo Ehara
Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
PODNet: A Neural Network for Discovery of Plannable Options. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
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. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Yuval Zak, Yisrael Parmet, Tal Oron-Gilad
GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
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. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Ole Meyer, Marc Hesenius, Volker Gruhn
Using Concepts to Understand Intelligent Agents. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
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. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Pavel Myznikov
Case-Based System of User Interface Reverse Engineering. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
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. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi, Giuseppe Rizzo
Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Hans-Georg Fill, Felix Härer
Supporting Trust in Hybrid Intelligence Systems Using Blockchains. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Thomas Schmid
Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng
Tutor4RL: Guiding Reinforcement Learning with External Knowledge. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Changlong Sun, Yating Zhang, Qiong Zhang, Xiaozhong Liu
Legal Artificial Intelligence - Have You Lost a Piece from Jigsaw Puzzle? AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Sterling Somers, Alessandro Oltramari, Christian Lebiere
Cognitive Twin: A Cognitive Approach to Personalized Assistants. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler
Completion Reasoning Emulation for the Description Logic EL+. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)

volume 2600, 2020

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 AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2600 (2020)