Ilaria Tiddi

Orcid: 0000-0001-7116-9338

Affiliations:
  • Vrije Universiteit Amsterdam, Faculty of Computer Science, The Netherlands


According to our database1, Ilaria Tiddi authored at least 46 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A knowledge graph approach to predict and interpret disease-causing gene interactions.
BMC Bioinform., December, 2023

The Privacy-Value-App Relationship and the Value-Centered Privacy Assistant.
CoRR, 2023

Knowledge Engineering for Hybrid Intelligence.
Proceedings of the 12th Knowledge Capture Conference 2023, 2023

"Who's a Good Robot?!" Designing Human-Robot Teaching Interactions Inspired by Dog Training.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Explainable Drug Repurposing in Context via Deep Reinforcement Learning.
Proceedings of the Semantic Web - 20th International Conference, 2023

Preface.
Proceedings of the Joint Proceedings of the ESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference (ESWC 2023), 2023

A Local Non-Additive Framework for Explaining Black-Box Predictive Models.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Establishing Shared Query Understanding in an Open Multi-Agent System.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Knowledge graphs as tools for explainable machine learning: A survey.
Artif. Intell., 2022

Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A "Mock App Store" Interface for Virtual Privacy Assistants.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Local Explanations for Clinical Search Engine Results.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
Extracting knowledge from Deep Neural Networks through graph analysis.
Future Gener. Comput. Syst., 2021

Knowledge Extraction from Auto-Encoders on Anomaly Detection Tasks Using Co-activation Graphs.
Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

Discovering Research Hypotheses in Social Science Using Knowledge Graph Embeddings.
Proceedings of the Semantic Web - 18th International Conference, 2021

Using Nanopublications to Detect and Explain Contradictory Research Claims.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Learning Profile-Based Recommendations for Medical Search Auto-Complete.
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020
Managing Identity in Knowledge-Based Explainable Systems.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

Robot-City Interaction: Mapping the Research Landscape - A Survey of the Interactions Between Robots and Modern Cities.
Int. J. Soc. Robotics, 2020

Using Linked Data to Help Robots Understand Product-related Actions.
Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020), 2020

Fostering Scientific Meta-analyses with Knowledge Graphs: A Case-Study.
Proceedings of the Semantic Web - 17th International Conference, 2020

Creative Storytelling with Language Models and Knowledge Graphs.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2019
Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

2018
Explaining Data Patterns using Knowledge from the Web of Data.
PhD thesis, 2018

A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling.
CoRR, 2018

Re-coding Black Mirror Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Allowing Exploratory Search from Podcasts: the Case of Secklow Sounds Radio.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

A User-friendly Interface to Control ROS Robotic Platforms.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Creating Open Citation Data with BCite.
Proceedings of the Emerging Topics in Semantic Technologies, 2018

Meet HanS, the Heath & Safety Autonomous Inspector.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

2017
An ontology-based approach to improve the accessibility of ROS-based robotic systems.
Proceedings of the Knowledge Capture Conference, 2017

Towards the Temporal Streaming of Graph Data on Distributed Ledgers.
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

2016
Learning to Assess Linked Data Relationships Using Genetic Programming.
Proceedings of the Semantic Web - ISWC 2016, 2016

DKA-robo: Dynamically Updating Time-Invalid Knowledge Bases Using Robots.
Proceedings of the Knowledge Engineering and Knowledge Management, 2016

2015
Using Linked Data Traversal to Label Academic Communities.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Data Patterns Explained with Linked Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

An Ontology Design Pattern to Define Explanations.
Proceedings of the 8th International Conference on Knowledge Capture, 2015

2014
Walking Linked Data: a Graph Traversal Approach to Explain Clusters.
Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Dedalo: Looking for Clusters Explanations in a Labyrinth of Linked Data.
Proceedings of the Semantic Web: Trends and Challenges - 11th International Conference, 2014

Using Neural Networks to Aggregate Linked Data Rules.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

Quantifying the Bias in Data Links.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

2013
Good location, terrible food: detecting feature sentiment in user-generated reviews.
Soc. Netw. Anal. Min., 2013

Explaining Clusters with Inductive Logic Programming and Linked Data.
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

Explaining Data Patterns Using Background Knowledge from Linked Data.
Proceedings of the Doctoral Consortium co-located with 12th International Semantic Web Conference (ISWC 2013), 2013

2012
Ontology Learning from Open Linked Data and Web Snippets.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012 Workshops, 2012


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