Aishwaryaprajna

According to our database, Aishwaryaprajna authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

Ranking Feature Importance Objectives for Explainable Classification.

Pragya Gupta, Sanchita Mondal, Aishwaryaprajna, Debashree Guha, Debjani Chakraborty

IEEE Access, 2026

2025

Evaluating Inductive Reasoning and Programming Capabilities of Large Language Models With The One-Dimensional Abstract Reasoning Corpus.

Cédric S. Mesnage, Xiaoyang Wang, Hang Dong, Aishwaryaprajna

Intelligenza Artificiale, 2025

Feature-Importance Aware Deep Neural Network Model for Explainable Recommender Systems.

Pragya Gupta, Aishwaryaprajna, Debashree Guha, Debjani Chakraborty

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

Local Optima Networks (LONs) and Search Trajectory Networks (STNs) for Noisy Combinatorial Problems.

John Payne, Aishwaryaprajna, David Walker, Edward C. Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Evolutionary Anytime Algorithms.

Aishwaryaprajna, Jonathan E. Rowe

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2025

2024

Evaluating Inductive Reasoning Capabilities of Large Language Models With The One Dimensional Abstract Reasoning Corpus.

Cédric Mesnage, Xiaoyang Wang, Hang Dong, Aishwaryaprajna

Proceedings of the Hybrid Models for Coupling Deductive and Inductive Reasoning, 2024

Towards Self-Organisation in Multi-Task Scheduling for Multi-Satellite Missions.

Abhijit Chatterjee, Aishwaryaprajna

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

The Idea of Optimization for Self-Improving Systems.

Aishwaryaprajna, Kirstie L. Bellman, Christopher Landauer

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

Online Learning of Temporal Dependencies for the Sustainable Foraging Problem.

John Payne, Aishwaryaprajna, Peter R. Lewis

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023

Evolutionary ensembles based on prioritized aggregation operator.

Chandrima Debnath, Aishwaryaprajna, Swati Rani Hait, Debashree Guha, Debjani Chakraborty

Soft Comput., December, 2023

The Voting algorithm is robust to various noise models.

Aishwaryaprajna, Jonathan E. Rowe

Theor. Comput. Sci., May, 2023

UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation.

Aishwaryaprajna, Thia Kirubarajan, Ratnasingham Tharmarasa, Jonathan E. Rowe

Int. J. Bio Inspired Comput., 2023

Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems.

Aishwaryaprajna, Jonathan E. Rowe

Evol. Comput., 2023

The Sustainable Foraging Problem.

Aishwaryaprajna, Peter R. Lewis

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Noisy combinatorial optimisation with evolutionary algorithms.

Aishwaryaprajna

PhD thesis, 2022

2021

Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems.

Aishwaryaprajna, Jonathan E. Rowe

CoRR, 2021

2019

Noisy combinatorial optimisation by evolutionary algorithms.

Aishwaryaprajna, Jonathan E. Rowe

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

The benefits and limitations of voting mechanisms in evolutionary optimisation.

Jonathan E. Rowe, Aishwaryaprajna

Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019