Machine Learning & Data Mining Publications (16)

Note: Below, ∗ denotes my Ph.D. student, † my M.S. student, and ‡ my B.Tech. student.

Preprints (Under-Review)
  1. P. Singh† and K. Ahuja. Chameleon2++: An Efficient Chameleon2 Clustering with Approximate Nearest Neighbors. Preprint, arXiv:2501.02612, 2025.

  2. S. Saini* , K. Ahuja, and A. S. Chauhan. Cervical Cancer Classification with Explainability using ResNet-based Cascaded Block Fused Descriptors. Preprint arXiv:2405.01600, 2025.

  3. M. Singh†, K. Ahuja, and M. B. Ratnaparkhe. A Novel Sampled Clustering Algorithm for Rice Phenotypic Data. Preprint arXiv:2312.14920, 2024.

Refereed Journals
  1. A. Raj†, K. Ahuja, and Y. Busnel. AI Algorithm for Predicting and Optimizing Trajectory of Massive UAV Swarm. Robotics and Autonomous Systems (Elsevier), vol. 186, article no. 104910, 2025.
    2. Code available here
  2. C. Gautam, A. Tiwari, S. Suresh, and K. Ahuja. Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Transactions on Systems, Man, and Cybernetics:Systems, vol. 51 (3), pp. 1917 – 1932, 2021.

  3. A. A. Shastri*, K. Ahuja, M. B. Ratnaparkhe, and Y.Busnel. Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics. PeerJ, article no. 9:e11927, 2021.
    4. Most Viewed, Computational Biology & Plant Science articles, 2021
  4. S. Gupta†, S. Ullah, K. Ahuja, A. Tiwari and A. Kumar. ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks. IEEE Access, vol. 8, pp. 118899 - 118911, 2020.

  5. C. Gautam, R. Balaji‡, K. Sudharsan‡, A. Tiwari, and K. Ahuja. Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. Knowledge-Based Systems, Elsevier, vol. 165, pp. 241 – 252, 2019.

  6. A. A. Shastri*, K. Ahuja, M. B. Ratnaparkhe, A. Shah‡, A. Gagrani‡, and A. Lal‡. Vector Quantized Spectral Clustering Applied to Whole Genome Sequences of Plants. Evolutionary Bioinformatics, SAGE, vol. 15, pp. 1 - 7, 2019.

  7. A. A. Shastri*, D. Tamrakar, and K. Ahuja. Density-Wise Two Stage Mammogram Classification using Texture Exploiting Descriptors. Expert Systems with Applications, Elsevier, vol. 99, pp. 71 - 82, 2018.

Refereed Conference Proceedings
  1. Y. Peruvemba‡, S. Rai, K. Ahuja and A. Kumar. RL-Guided Runtime-Constrained Heuristic Exploration for Logic Synthesis. In ICCAD'21: Proc. of 40th International Conference On Computer Aided Design, ACM, Munich (Germany), INSPEC Accession Number: 21529538, 2021.

  2. S. Jain‡, A. A. Shastri*, K. Ahuja, Y. Busnel, N. P. Singh*. Cube Sampled K-Prototype Clustering for Featured Data. In INDICON’21: Proc. of 18th International Conference of the IEEE India Council, IEEE, Guwahati (India), INSPEC Accession Number: 21704076, 2021.

  3. U. Salim, S. Gupta†, K. Ahuja, A. Tiwari, and A. Kumar. L2L: A Highly Accurate Log_2_Lead Quantization of Pre-trained Neural Networks. In DATE'20: Proc. of the 23rd Design, Automation & Test in Europe Conference & Exhibition, IEEE, Grenoble (France), pp. 979 – 982, 2020.

  4. V. Nemade‡ , A. A. Shastri*, K. Ahuja and A. Tiwari. Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data. In SSCI'18: Proc. of the 9th IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore (India), pp. 2174 – 2179, 2018.

  5. U. Murthy, K. Ahuja, S. Murthy and E. A. Fox. SIMPEL: A Superimposed Mul timedia Presentation Editor and Player. In JCDL’06: Proc. of the 6th ACM/ IEEE Joint Conference on Digital Libraries, IEEE, Chapel Hill (NC, USA), pp. 377, 2006 (poster).

  6. S.Kim, U.Murthy, K. Ahuja, S.Vasile, and E.A.Fox. Effectiveness of Implicit Rating Data on Characterizing Users in Complex Information Systems. In A. Rauber et. al. (Eds.), Research and Advanced Technology for Digital Libraries: Proc. of EDCL’05,, Springer, Vienna (Austria), pp. 186– 194, 2005.