Shakerin, Farhad
22  Ergebnisse:
Personensuche X
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1

Prolog: Past, Present, and Future:

, In: Prolog: The Next 50 Years; Lecture Notes in Computer Science,
Gupta, Gopal ; Salazar, Elmer ; Shakerin, Farhad... - p. 48-61 , 2023
 
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2

Logic-Based Explainable and Incremental Machine Learning:

, In: Prolog: The Next 50 Years; Lecture Notes in Computer Science,
Gupta, Gopal ; Wang, Huaduo ; Basu, Kinjal... - p. 346-358 , 2023
 
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3

An ASP-based Approach to Answering Natural Language Questio..:

PENDHARKAR, DHRUVA ; BASU, KINJAL ; SHAKERIN, FARHAD.
Theory and Practice of Logic Programming.  22 (2022)  3 - p. 419-443 , 2022
 
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4

FOLD-RM: A Scalable, Efficient, and Explainable Inductive L..:

WANG, HUADUO ; SHAKERIN, FARHAD ; GUPTA, GOPAL
Theory and Practice of Logic Programming.  22 (2022)  5 - p. 658-677 , 2022
 
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5

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

SHAKERIN, FARHAD ; GUPTA, GOPAL
Theory and Practice of Logic Programming.  20 (2020)  5 - p. 656-670 , 2020
 
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6

Whitebox Induction of Default Rules Using High-Utility Item..:

, In: Practical Aspects of Declarative Languages; Lecture Notes in Computer Science,
Shakerin, Farhad ; Gupta, Gopal - p. 168-176 , 2020
 
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7

AQuA: ASP-Based Visual Question Answering:

, In: Practical Aspects of Declarative Languages; Lecture Notes in Computer Science,
 
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8

A new algorithm to automate inductive learning of default t..:

SHAKERIN, FARHAD ; SALAZAR, ELMER ; GUPTA, GOPAL
Theory and Practice of Logic Programming.  17 (2017)  5-6 - p. 1010-1026 , 2017
 
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