Publications

Md Fahim Sikder, Daniel de Leng, Fredrik Heintz (2024). Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. Under Review.

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Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz (2024). FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and eXplainability. AEQUITAS, co-located with ECAI 2024.

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Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz (2024). Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation. Under Review.

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Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström, Fredrik Heintz (2024). Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. JAIR.

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Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz (2024). Generative Models for Time-Series and Fair Data Generation. SSBA/SSDL 2024 as extended abstract.

Poster

Md Fahim Sikder, Md Ferdous, Shraboni Afroz, Uzzal Podder, Kaniz Fatema, Mohammad Nahid Hossain, Md Tahmid Hasan, Mrinal Kanti Baowaly (2023). Explainable Bengali Multiclass News Classification. ICCIT 2023.

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Md Fahim Sikder, Resmi Ramachandranpillai, Fredrik Heintz (2023). Generating Private and Fair Long-Sequenced Longitudinal Healthcare Records. SAIS 2023 as extended abstract.

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Resmi Ramachandranpillai, Md Fahim Sikder, Fredrik Heintz (2023). Fair Latent Deep Generative Models (FLDGM) for Syntax-agnostic and Fair Synthetic Data Generation. ECAI 2023.

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Md Fahim Sikder, Resmi Ramachandranpillai, Fredrik Heintz (2023). TransFusion: Generating Long, High-Fidelity Time Series using Diffusion Models with Transformers. Under Review.

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Md Fahim Sikder, David Bergström, Resmi Ramachandranpillai, Fredrik Heintz (2023). Synthesizing Longer and Higher-Fidelity Time-Series Data Using Generative Adversarial Networks. Work in Progress.

Md Fahim Sikder (2022). Sequential Ice Hockey Events Generation using Generative Adversarial Network. Student Project Competition, LINHAC 2022.

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David Bergström, Md Fahim Sikder, Sania Partovian, Resmi Ramachandranpillai, Mattias Tiger, Fredrik Heintz (2021). Measuring the Fairness, Privacy and Accuracy of Time-Series Generative Models - A Survey. Work in Progress.

David Bergström, Md Fahim Sikder, Fredrik Heintz (2020). Privacy-Preserving Synthetic Trajectory Data Generation. SAIS 2020 as extended abstract.

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Md Fahim Sikder (2018). Bangla Handwritten Digit Recognition & Generation. IJCCI 2018.

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Md Fahim Sikder, Sajal Halder, Tanvir Hasan, Md. Jamal Uddin, Mrinal Kanti Baowaly (2017). Smart Disaster Notification System. ICAEE 2017.

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Md Fahim Sikder, Md. Jamal Uddin, Sajal Halder (2016). Predicting Students Yearly Performance using Neural Network: A Case Study of BSMRSTU. ICIEV 2016.

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