Publications
, “Reasoning over RDF Knowledge Bases using Deep Learning”, arXiv preprint arXiv:1811.04132, 2018.
, “Explaining Trained Neural Networks with Semantic Web Technologies: First Steps”, Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy. London, UK, 2017. 2017-nesy-xai.pdf (2.09 MB)
 2017-nesy-xai.pdf (2.09 MB)
 2017-nesy-xai.pdf (2.09 MB)
 2017-nesy-xai.pdf (2.09 MB), “Relating Input Concepts to Convolutional Neural Network Decisions”, NIPS 2017 Workshop: Interpreting, Explaining and Visualizing Deep Learning, NIPS IEVDL 2017. NIPS, CA, USA, 2017. Relating Input Concepts to Convolutional Neural Network Decisions.pdf (2.35 MB)
 Relating Input Concepts to Convolutional Neural Network Decisions.pdf (2.35 MB)
 Relating Input Concepts to Convolutional Neural Network Decisions.pdf (2.35 MB)
 Relating Input Concepts to Convolutional Neural Network Decisions.pdf (2.35 MB), “Rule-based OWL Modeling with ROWLTab Protege Plugin”. 2017. main.pdf (423.27 KB)
 main.pdf (423.27 KB)
 main.pdf (423.27 KB)
 main.pdf (423.27 KB), “Modeling OWL with Rules: The ROWL Protege Plugin”, Kobe, Japan, 2016. ROWL.pdf (184.79 KB)
 ROWL.pdf (184.79 KB)
 ROWL.pdf (184.79 KB)
 ROWL.pdf (184.79 KB), “OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming”, Kobe, Japan, 2016. OWLAx.pdf (609.13 KB)
 OWLAx.pdf (609.13 KB)
 OWLAx.pdf (609.13 KB)
 OWLAx.pdf (609.13 KB), “Emotion recognition from speech based on relevant feature and majority voting”, in ICIEV, 2014. 06850685.pdf (675.21 KB)
 06850685.pdf (675.21 KB)
 06850685.pdf (675.21 KB)
 06850685.pdf (675.21 KB)
