+91 491 2091201
mfsdsai@iitpkd.ac.in

Department of Data Science

Mehta Family School of
Data Science & Artificial Intelligence

2025
  • S. Abilasha, Sahely Bhadra, Warping resilient robust anomaly detection for multivariate time series, Machine Learning, 2025
  • A Aimen, A. Verma, M Tapasvi, and N C Krishnan, Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays, accepted to International Symposium on Biomedical Imaging (ISBI), 2025
  • T John, Mrinal Das, Focus On What Matters: Guiding Vision Transformers Towards Justification. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
  • R. Gayathri, Koninika Pal, Understanding Numerical Context by Asking Quantitative Questions. European Conference on Information Retrieval (ECIR), 2025
  • M. N. Krishnan, M. Vajha, V. Ramkumar, G. Y. Sai, and X. Kong, On Linear Field Size Access-Optimal MDS Convertible Codes, IEEE International Symposium on Information Theory (ISIT), 2025
  • V. Ramkumar, M. N. Krishnan, and M. Vajha, Streaming Codes for Multi-Hop Relay Networks With Burst Erasures, IEEE International Symposium on Information Theory (ISIT), 2025
  • M. Managoli, K. R. Sahasranand, V. M. Prabhakaran, Error Exponents for Robust Hypothesis Testing with Abstention, IEEE International Symposium on Information Theory (ISIT), 2025
  • Ankit, Sahely Bhadra, Juho Rousu, Efficient 3D kernels for molecular property prediction, Bioinformatics, 2025
  • A Gaurav, S Chanda, and N C Krishnan, Word-Diffusion: Beyond Memorization: Training-Free Style Mixing for Variability in Handwritten Text Generation Using Writer Embedding Injection in Pretrained Diffusion Models, International Conference on Document Analysis and Research (ICDAR), 2025
  • M Taufeeq and K Pal, Validating Numerical Assertions for Knowledge Graph, ACM Conference on Information and Knowledge Management (CIKM), 2025
  • L R Nair, A Sankar, and K Pal, Extracting Temporal Commonsense from Text, ACM SIGIR Workshop IR-RAG, 2025
  • A Rojarani, T R Kumar, N C Krishnan, P Pankajakshan, Fusing Self-supervised and Supervised Learning: A Unified Pre-training Framework for Crop Mapping, Accepted, International Geoscience and Remote Sensing Symposium (IGARSS), 2025
  • V Singh, A Mahadevan, R K Tiwari, and N C Krishnan, Glacier Lake Segmentation from Remote Sensing Landsat Image, Accepted, International Geoscience and Remote Sensing Symposium (IGARSS),2025
  • A Topic Modeling Approach for Analyzing and Categorizing Electronic Healthcare Documents in Afaan Oromo without Label Information. Etana Fikadu, Mrinal Das, Teklu Urgesa. Nature Scientific Reports 14, Article number: 32051, 2025.

2024
  • Vijayan VP, Chanda S, Doermann D, Krishnan NC, Scene text recognition: an Indic perspective, International Journal on Document Analysis and Recognition (IJDAR), 2024
  • Kadan A, Deepak P, Bhadra S, Gangan MP, Lajish VL, Understanding latent affective bias in large pre-trained neural language models, Natural Language Processing Journal, 2024
  • Etana Fikadu, Mrinal Das,Teklu Urgesa, Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques, Springer Nature Discover Applied Sciences, 2024
  • M. Vajha, V. Ramkumar, and M. Nikhil Krishnan, Streaming Codes for Three-Node Relay Networks With Burst Erasures, IEEE Transactions on Information Theory, 2024
  • Koninika Pal, Hiba Arnaout, Simon Razniewski, Gerhard Weikum: FASETS: Discovering Faceted Sets of Entities. WWW (Companion Volume) 2024
  • S Gupta, S Jain, G Ghalme, N C Krishnan, and N Hemachandra, Capacitated Online Clustering Algorithm, European Conference on Artificial Intelligence (ECAI), 2024
  • Sambyal AS, Niyaz U, Shrivastava S, Krishnan NC, Bathula DR., LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
  • Das, Satyajit,Parvathy R P "ByteZip: Efficient Lossless Compression for Structured Byte Streams Using DNNs." 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024
  • A Gaurav, N C Krishnan, and S Chanda, Word-Diffusion: Diffusion-Based Handwritten Text Word Image Generation, International Conference on Pattern Recognition (ICPR), 2024
  • MLP-SVM: A Hybrid Approach for Improving the Performance of the Classification Model for Health-Related Documents from Social Media Using Multi-Layer Perceptron and Support Vector Machine. Etana Fikadu, Mrinal Das, Teklu Urgesa. Springer Nature Discover Applied Sciences, 2025.