Farhad Shakerin

According to our database, Farhad Shakerin authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Counterfactual Generation with Answer Set Programming.

Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal Gupta

CoRR, 2024

Causally Constrained Counterfactual Generation using ASP.

Sopam Dasgupta, Farhad Shakerin, Elmer Salazar, Joaquín Arias, Gopal Gupta

Proceedings of the Workshop Proceedings of the 40th International Conference on Logic Programming (ICLP-WS 2024) co-located with the 40th International Conference on Logic Programming (ICLP 2024), 2024

2023

Logic-Based Explainable and Incremental Machine Learning.

Gopal Gupta, Huaduo Wang, Kinjal Basu, Farhad Shakerin, Elmer Salazar, Sarat Chandra Varanasi, Parth Padalkar, Sopam Dasgupta

Proceedings of the Prolog: The Next 50 Years, 2023

Prolog: Past, Present, and Future.

Gopal Gupta, Elmer Salazar, Farhad Shakerin, Joaquín Arias, Sarat Chandra Varanasi, Kinjal Basu, Huaduo Wang, Fang Li, Serdar Erbatur, Parth Padalkar, Abhiramon Rajasekharan, Yankai Zeng, Manuel Carro

Proceedings of the Prolog: The Next 50 Years, 2023

Counterfactual Explanation Generation with s(CASP).

Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal Gupta

CoRR, 2023

2022

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

Huaduo Wang, Farhad Shakerin, Gopal Gupta

Theory Pract. Log. Program., 2022

An ASP-based Approach to Answering Natural Language Questions for Texts.

Dhruva Pendharkar, Kinjal Basu, Farhad Shakerin, Gopal Gupta

Theory Pract. Log. Program., 2022

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

Huaduo Wang, Farhad Shakerin, Gopal Gupta

CoRR, 2022

Tutorial: Automating Commonsense Reasoning.

Gopal Gupta, Elmer Salazar, Sarat Chandra Varanasi, Kinjal Basu, Joaquín Arias, Farhad Shakerin, Fang Li, Huaduo Wang

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.

Huaduo Wang, Farhad Shakerin, Gopal Gupta

CoRR, 2021

Formalizing Informal Logic and Natural Language Deductivism.

Gopal Gupta, Sarat Varnasi, Kinjal Basu, Zhuo Chen, Elmer Salazar, Farhad Shakerin, Serdar Erbatur, Fang Li, Huaduo Wang, Joaquín Arias, Brendan Hall, Kevin Driscoll

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.

Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

White-box Induction From SVM Models: Explainable AI with Logic Programming.

Farhad Shakerin, Gopal Gupta

Theory Pract. Log. Program., 2020

SQuARE: Semantics-based Question Answering and Reasoning Engine.

Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Gopal Gupta

Proceedings of the Proceedings 36th International Conference on Logic Programming (Technical Communications), 2020

Whitebox Induction of Default Rules Using High-Utility Itemset Mining.

Farhad Shakerin, Gopal Gupta

Proceedings of the Practical Aspects of Declarative Languages, 2020

AQuA: ASP-Based Visual Question Answering.

Kinjal Basu, Farhad Shakerin, Gopal Gupta

Proceedings of the Practical Aspects of Declarative Languages, 2020

2019

Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models.

Farhad Shakerin

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.

Farhad Shakerin, Gopal Gupta

CoRR, 2019

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME.

Farhad Shakerin, Gopal Gupta

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.

Farhad Shakerin, Gopal Gupta

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.

Farhad Shakerin, Gopal Gupta

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.

Farhad Shakerin, Elmer Salazar, Gopal Gupta

Theory Pract. Log. Program., 2017

A Case for Query-driven Predicate Answer Set Programming.

Gopal Gupta, Elmer Salazar, Kyle Marple, Zhuo Chen, Farhad Shakerin

Proceedings of the ARCADE 2017, 2017