Suraj Neelakantan

PhD Student

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room: No Room Available
Phone: No Phone Number Available
Email: No Email Address Available

Publications

[1]	S. Neelakantan, M. Längkvist and A. Loutfi. Human-in-the-loop dual-branch architecture for image super-resolution. Journal of Visual Communication and Image Representation, 116, 2026 [ BibTeX \| DiVA ]
[2]	S. Neelakantan, M. Längkvist and A. Loutfi. Domain-Aware Tabular Data Augmentation Using Large Language Models. 2025 [ BibTeX \| DiVA \| PDF ]
[3]	S. Neelakantan, M. Längkvist and A. Loutfi. DR-SCAN : AN INTERPRETABLE DUAL-BRANCHRESIDUAL SPATIAL AND CHANNEL ATTENTIONNETWORK FOR REMOTE SENSING AND GEOSCIENCEIMAGE SUPER-RESOLUTION. 2025 [ BibTeX \| DiVA \| PDF ]
[4]	S. Neelakantan, A. Hansson, J. Norell, J. Schött, M. Längkvist and A. Loutfi. Machine Learning for Lithology Analysis using a Multi-Modal Approach of Integrating XRF and XCT data. In 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden 2024 [ BibTeX \| DiVA \| PDF ]
[5]	S. Neelakantan, J. Norell, A. Hansson, M. Längkvist and A. Loutfi. Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation. Applied Computing and Geosciences, 21, 2024 [ BibTeX \| DiVA ]