Farhad Shakerin

Orcid: 0000-0003-2460-3132

According to our database1, Farhad Shakerin authored at least 22 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Counterfactual Generation with Answer Set Programming.
CoRR, 2024

2023
Logic-Based Explainable and Incremental Machine Learning.
Proceedings of the Prolog: The Next 50 Years, 2023


Counterfactual Explanation Generation with s(CASP).
CoRR, 2023

2022
FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data.
Theory Pract. Log. Program., 2022

An ASP-based Approach to Answering Natural Language Questions for Texts.
Theory Pract. Log. Program., 2022

FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data.
CoRR, 2022

Tutorial: Automating Commonsense Reasoning.
Proceedings of the International Conference on Logic Programming 2022 Workshops co-located with the 38th International Conference on Logic Programming (ICLP 2022), Haifa, Israel, July 31st, 2022

2021
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories.
CoRR, 2021

Formalizing Informal Logic and Natural Language Deductivism.
Proceedings of the International Conference on Logic Programming 2021 Workshops co-located with the 37th International Conference on Logic Programming (ICLP 2021), 2021

Knowledge-driven Natural Language Understanding of English Text and its Applications.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
White-box Induction From SVM Models: Explainable AI with Logic Programming.
Theory Pract. Log. Program., 2020

SQuARE: Semantics-based Question Answering and Reasoning Engine.
Proceedings of the Proceedings 36th International Conference on Logic Programming (Technical Communications), 2020

Whitebox Induction of Default Rules Using High-Utility Itemset Mining.
Proceedings of the Practical Aspects of Declarative Languages, 2020

AQuA: ASP-Based Visual Question Answering.
Proceedings of the Practical Aspects of Declarative Languages, 2020

2019
Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models.
Proceedings of the Proceedings 35th International Conference on Logic Programming (Technical Communications), 2019

Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining.
CoRR, 2019

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Heuristic Based Induction of Answer Set Programs, From Default theories to Combinatorial problems.
Proceedings of the Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), 2018

Cumulative Scoring-Based Induction of Default Theories.
Proceedings of the Technical Communications of the 34th International Conference on Logic Programming, 2018

2017
A new algorithm to automate inductive learning of default theories.
Theory Pract. Log. Program., 2017

A Case for Query-driven Predicate Answer Set Programming.
Proceedings of the ARCADE 2017, 2017


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