Ikechukwu Nkisi-Orji

Orcid: 0000-0001-9734-9978

According to our database1, Ikechukwu Nkisi-Orji authored at least 23 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
iSee: A case-based reasoning platform for the design of explanation experiences.
Knowl. Based Syst., 2024

XEQ Scale for Evaluating XAI Experience Quality Grounded in Psychometric Theory.
CoRR, 2024

Building Personalised XAI Experiences Through iSee: a Case-Based Reasoning-Driven Platform.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Towards Improving Open-box Hallucination Detection in Large Language Models (LLMs).
Proceedings of the SICSA Workshop on Reasoning, 2024

SCaLe-QA: Sri lankan Case Law Embeddings for Legal QA.
Proceedings of the SICSA Workshop on Reasoning, 2024

Integrating KGs and Ontologies with RAG for Personalised Summarisation in Regulatory Compliance.
Proceedings of the SICSA Workshop on Reasoning, 2024

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering.
Proceedings of the Case-Based Reasoning Research and Development, 2024

iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
iSee: Intelligent Sharing of Explanation Experience by Users for Users.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

CBR Driven Interactive Explainable AI.
Proceedings of the Case-Based Reasoning Research and Development, 2023

Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR.
Proceedings of the Case-Based Reasoning Research and Development, 2023

2022
How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Introducing Clood CBR: A Cloud Based CBR Framework.
Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud.
Proceedings of the Case-Based Reasoning Research and Development, 2022

iSee: Intelligent Sharing of Explanation Experiences.
Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Conceptual Modelling of Explanation Experiences Through the iSeeOnto Ontology.
Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

2021
Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints.
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, 2021

DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers.
Proceedings of the Workshops Proceedings for the 29th International Conference on Case-Based Reasoning co-located with the 29th International Conference on Case-Based Reasoning (ICCBR 2021), 2021

2020
Clood CBR: Towards Microservices Oriented Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2020

2019
Ontology driven information retrieval.
PhD thesis, 2019

2018
Ontology Alignment Based on Word Embedding and Random Forest Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
Taxonomic Corpus-Based Concept Summary Generation for Document Annotation.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017


  Loading...