Farhad Shakerin

30 papers A* 2C 3Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	C3G: Causally Constrained Counterfactual Generation. PADL Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal Gupta
2024	—	`conf`	Causally Constrained Counterfactual Generation using ASP. ICLP Workshops Sopam Dasgupta, Farhad Shakerin, Elmer Salazar, Joaquín Arias, Gopal Gupta
2024	J	`jnl`	Counterfactual Generation with Answer Set Programming. CoRR Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal Gupta
2023	J	`jnl`	Counterfactual Explanation Generation with s(CASP). CoRR Sopam Dasgupta, Farhad Shakerin, Joaquín Arias, Elmer Salazar, Gopal Gupta
2023	—	`ch.`	Logic-Based Explainable and Incremental Machine Learning. Prolog: The Next 50 Years Gopal Gupta, Huaduo Wang, Kinjal Basu, Farhad Shakerin, Elmer Salazar, Sarat Chandra Varanasi, Parth Padalkar, Sopam Dasgupta
2023	—	`ch.`	Prolog: Past, Present, and Future. Prolog: The Next 50 Years 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
2022	J	`jnl`	An ASP-based Approach to Answering Natural Language Questions for Texts. Theory Pract. Log. Program. Dhruva Pendharkar, Kinjal Basu, Farhad Shakerin, Gopal Gupta
2022	J	`jnl`	FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data. CoRR Huaduo Wang, Farhad Shakerin, Gopal Gupta
2022	J	`jnl`	FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data. Theory Pract. Log. Program. Huaduo Wang, Farhad Shakerin, Gopal Gupta
2022	—	`conf`	Tutorial: Automating Commonsense Reasoning. ICLP Workshops Gopal Gupta, Elmer Salazar, Sarat Chandra Varanasi, Kinjal Basu, Joaquín Arias, Farhad Shakerin, Fang Li, Huaduo Wang
2021	J	`jnl`	A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories. CoRR Huaduo Wang, Farhad Shakerin, Gopal Gupta
2021	J	`jnl`	An ASP-based Approach to Answering Natural Language Questions for Texts. CoRR Dhruva Pendharkar, Kinjal Basu, Farhad Shakerin, Gopal Gupta
2021	—	`conf`	Formalizing Informal Logic and Natural Language Deductivism. ICLP Workshops Gopal Gupta, Sarat Varnasi, Kinjal Basu, Zhuo Chen, Elmer Salazar, Farhad Shakerin, Serdar Erbatur, Fang Li, Huaduo Wang, Joaquín Arias, Brendan Hall, Kevin Driscoll
2021	A*	`conf`	Knowledge-driven Natural Language Understanding of English Text and its Applications. AAAI Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta
2021	J	`jnl`	Knowledge-driven Natural Language Understanding of English Text and its Applications. CoRR Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta
2020	C	`conf`	AQuA: ASP-Based Visual Question Answering. PADL Kinjal Basu, Farhad Shakerin, Gopal Gupta
2020	—	`conf`	SQuARE: Semantics-based Question Answering and Reasoning Engine. ICLP Technical Communications Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Gopal Gupta
2020	J	`jnl`	White-box Induction From SVM Models: Explainable AI with Logic Programming. CoRR Farhad Shakerin, Gopal Gupta
2020	J	`jnl`	White-box Induction From SVM Models: Explainable AI with Logic Programming. Theory Pract. Log. Program. Farhad Shakerin, Gopal Gupta
2020	C	`conf`	Whitebox Induction of Default Rules Using High-Utility Itemset Mining. PADL Farhad Shakerin, Gopal Gupta
2019	A*	`conf`	Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. AAAI Farhad Shakerin, Gopal Gupta
2019	J	`jnl`	Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining. CoRR Farhad Shakerin, Gopal Gupta
2019	—	`conf`	Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models. ICLP Technical Communications Farhad Shakerin
2018	—	`conf`	Cumulative Scoring-Based Induction of Default Theories. ICLP (Technical Communications) Farhad Shakerin, Gopal Gupta
2018	—	`conf`	Heuristic Based Induction of Answer Set Programs, From Default theories to Combinatorial problems. ILP Up-and-Coming / Short Papers Farhad Shakerin, Gopal Gupta
2018	J	`jnl`	Heuristic Based Induction of Answer Set Programs: From Default theories to combinatorial problems. CoRR Farhad Shakerin, Gopal Gupta
2018	J	`jnl`	Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. CoRR Farhad Shakerin, Gopal Gupta
2017	—	`conf`	A Case for Query-driven Predicate Answer Set Programming. ARCADE@CADE Gopal Gupta, Elmer Salazar, Kyle Marple, Zhuo Chen, Farhad Shakerin
2017	J	`jnl`	A New Algorithm to Automate Inductive Learning of Default Theories. CoRR Farhad Shakerin, Elmer Salazar, Gopal Gupta
2017	J	`jnl`	A new algorithm to automate inductive learning of default theories. Theory Pract. Log. Program. Farhad Shakerin, Elmer Salazar, Gopal Gupta