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ORCIDResmi Ramachandranpillai
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2020 – today
- 2024
[j3]Resmi RamachandranPillai
, Md. Fahim Sikder, David Bergström, Fredrik Heintz:
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. J. Artif. Intell. Res. 79: 1313-1341 (2024)- [c3]Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz:
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. AEQUITAS@ECAI 2024 - [i6]Resmi RamachandranPillai, Md. Fahim Sikder, David Bergström, Fredrik Heintz:
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. CoRR abs/2404.13634 (2024) - [i5]Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz:
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. CoRR abs/2406.14281 (2024) - [i4]Ibrahim Said Ahmad, Shiran Dudy, Resmi Ramachandranpillai, Kenneth Church:
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT. CoRR abs/2406.19504 (2024) - [i3]Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz:
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation. CoRR abs/2408.10755 (2024) - [i2]Resmi Ramachandranpillai, Kishore Sampath, Ayaazuddin Mohammad, Malihe Alikhani:
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions. CoRR abs/2412.00606 (2024) - 2023
- [c2]Resmi RamachandranPillai, Md. Fahim Sikder, Fredrik Heintz:
Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. ECAI 2023: 1938-1945 - [i1]Md. Fahim Sikder, Resmi RamachandranPillai, Fredrik Heintz:
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers. CoRR abs/2307.12667 (2023) - 2021
- [j2]Resmi RamachandranPillai, Michael Arock:
Spiking neural firefly optimization scheme for the capacitated dynamic vehicle routing problem with time windows. Neural Comput. Appl. 33(1): 409-432 (2021) - [j1]Resmi RamachandranPillai, Michael Arock:
A solution to dynamic green vehicle routing problems with time windows using spiking neural P systems with modified rules and learning. J. Supercomput. 77(9): 9689-9720 (2021)
2010 – 2019
- 2018
- [c1]Resmi RamachandranPillai, Michael Arock:
An N-Puzzle Solver Using Tissue P System with Evolutional Symport/Antiport Rules and Cell Division. SocProS (1) 2018: 493-504
Coauthor Index
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