| Spiking neural firefly optimization scheme for the capacitated dynamic vehicle routing problem with time windows R RamachandranPillai, M Arock Neural Computing and Applications 33 (1), 409-432, 2021 | 25 | 2021 |
| A solution to dynamic green vehicle routing problems with time windows using spiking neural P systems with modified rules and learning R Ramachandranpillai, M Arock The Journal of Supercomputing, 1-32, 2021 | 13 | 2021 |
| Transfusion: generating long, high fidelity time series using diffusion models with transformers MF Sikder, R Ramachandranpillai, F Heintz arXiv preprint arXiv:2307.12667, 2023 | 12 | 2023 |
| Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R Ramachandranpillai, MF Sikder, D Bergström, F Heintz Journal of Artificial Intelligence Research (JAIR) 79, 1313-1341, 2024 | 6 | 2024 |
| Spiking neural P ant optimisation: a novel approach for ant colony optimisation R Ramachandranpillai, M Arock Electronics Letters 56 (24), 1320-1322, 2020 | 6 | 2020 |
| An adaptive spiking neural P system for solving vehicle routing problems R RamachandranPillai, M Arock Arabian Journal for Science and Engineering 45 (4), 2513-2529, 2020 | 6 | 2020 |
| Fair latent deep generative models (fldgms) for syntax-agnostic and fair synthetic data generation R Ramachandranpillai, MF Sikder, F Heintz ECAI 2023, 1938-1945, 2023 | 5 | 2023 |
| FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability MF Sikder, R Ramachandranpillai, D de Leng, F Heintz arXiv preprint arXiv:2406.14281, 2024 | 3 | 2024 |
| FairXAI-A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning R Ramachandranpillai, R Baeza-Yates, F Heintz IEEE Transactions on Neural Networks and Learning Systems, 2025 | 2 | 2025 |
| Generating synthetic fair syntax-agnostic data by learning and distilling fair representation MF Sikder, R Ramachandranpillai, D de Leng, F Heintz arXiv preprint arXiv:2408.10755, 2024 | 1 | 2024 |
| Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT IS Ahmad, S Dudy, R Ramachandranpillai, K Church C3NLP, ACL, 2024 | 1 | 2024 |
| Predictive Semantic Parsing and Tagging R Pillai International Organization of Scientific Research (IOSR) Journal of …, 2014 | 1 | 2014 |
| Enhanced Semantic Preserved Concept Based Mining Model for Enhancing Document Clustering RR Pillai | 1 | 2006 |
| Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions R Ramachandranpillai, K Sampath, A Mohammad, M Alikhani arXiv preprint arXiv:2412.00606, 2024 | | 2024 |
| All Models are Wrong, But Some are Deadly: Inconsistencies in Emotion Detection in Suicide-related Tweets A Schoene, R Ramachandranpillai, T Lazovich, R Baeza-Yates Proceedings of the Third Workshop on NLP for Positive Impact, 113-122, 2024 | | 2024 |
| Generative Models for Time-Series and Fair Data Generation FH Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng The 7th Swedish Symposium on Deep Learning, 2024, Sweden, 2024 | | 2024 |
| Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R Ramachandranpillai, F Sikder, D Bergström, F Heintz Authorea Preprints, 2023 | | 2023 |
| The TAILOR Handbook of Trustworthy AI http://tailor.isti.cnr.it/handbookTAI/TAILOR.html#about-the-tailor-handbook, 2022 | | 2022 |
| An N-Puzzle Solver Using Tissue P System with Evolutional Symport/Antiport Rules and Cell Division R RamachandranPillai, M Arock Soft Computing for Problem Solving: SocProS 2018, Volume 1, 493-504, 2020 | | 2020 |
| Generating Private and Fair Long-Sequenced Longitudinal Healthcare Records MF Sikder, R Ramachandranpillai, F Heintz | | |
Fredrik HeintzProfessor of Computer Science, Linköping UniversityПотвърден имейл адрес: liu.se