Fardina Fathmiul Alam

According to our database, Fardina Fathmiul Alam authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection.

Priyadarshan Narayanasamy, Swastik Agrawal, Klint Faber, Fardina Fathmiul Alam

CoRR, May, 2026

STRIKE: Additive Feature-Group-Aware Stacking Framework for Credit Default Prediction.

Swattik Maiti, Ritik Pratap Singh, Fardina Fathmiul Alam

CoRR, April, 2026

2025

RAGent: A Self-Learning RAG Agent for Adaptive Data Science Education.

Mariia Vetluzhskikh, Fardina Fathmiul Alam

Proceedings of the 6th International Computer Programming Education Conference, 2025

ConSOLAE: Learning Smooth and Generalizable Representations for Protein Fold Recognition.

Shraddha Patre, Riya Kanani, Aarnav Tare, Pranavh Vallabhaneni, Fardina Fathmiul Alam

Proceedings of the Companion Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2022

Equivariant Encoding based GVAE (EqEn-GVAE) for Protein Tertiary Structure Generation.

Taseef Rahman, Fardina Fathmiul Alam, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Unsupervised multi-instance learning for protein structure determination.

Fardina Fathmiul Alam, Amarda Shehu

J. Bioinform. Comput. Biol., 2021

Deep Latent-Variable Models for Controllable Molecule Generation.

Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Generating Physically-Realistic Tertiary Protein Structures with Deep Latent Variable Models Learning Over Experimentally-available Structures.

Fardina Fathmiul Alam, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Towards more equitable question answering systems: How much more data do you need?

Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam, Antonios Anastasopoulos

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Variational Autoencoders for Protein Structure Prediction.

Fardina Fathmiul Alam, Amarda Shehu

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Learning Reduced Latent Representations of Protein Structure Data.

Fardina Fathmiul Alam, Taseef Rahman, Amarda Shehu

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019