Machine Learning & Data Mining Publications (18)

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

Preprints
  1. K. Pathak* , K. Ahuja, and E. de Sturler. ResGene-T: A Tensor-Based Residual Network Approach for Genomic Prediction. Preprint arXiv:2603.00744, pp. 1 – 11, 2026.

  2. K. Ahuja, M. Singh†, K. Pathak* , and M. B. Ratnaparkhe. A New Similarity Function for Spectral Clustering with Application to Plant Phenotypic Data. Preprint arXiv:2312.14920, pp. 1-6, 2025.

Refereed Journals
  1. S. Saini* , K. Ahuja, and A. S. Chauhan‡. Block-Fused Attention-Driven Adaptively-Pooled ResNet Model for Improved Cervical Cancer Classification. Soft Computing (Springer), accepted and currently available as arXiv:2405.01600, 2026.
    2. SJR Q2 Journal.
  2. S. Saini* , K. Ahuja, M. C. Steinbach, and T. Wick. Accurate Thyroid Cancer Classification using a Novel Binary Pattern Driven Local Discrete Cosine Transform Descriptor. Journal of Computational Science (Elsevier), vol. 96, article no. 102844, 2026.
    3. SJR Q2 Journal.
  3. 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.
    4. SJR Q1 Journal. Code available here
  4. 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.
    5. SJR Q1 Journal.
  5. 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.
    6. SJR Q1 Journal.
  6. 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.
    7. SJR Q1 Journal.
  7. 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.
    8. SJR Q1 Journal.
  8. 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.
    9. SJR Q2 Journal.
  9. 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.
    10. SJR Q1 Journal.
Refereed Conference Proceedings
  1. P. Singh†, K. Ahuja, and S. Raha. Approx-Ch: An Approximate Chameleon Clustering for Large-Scale and High-Dimensional Data. In INDICON'25: Proc. of 22nd International Conference of the IEEE India Council, IEEE, Bangalore (India), pp. 1 – 6, 2025.
    2. Flagship conference of IEEE India. Code available here
  2. 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), pp. 1 – 9, 2021.
    3. CORE Rank A.
  3. 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), pp. 1 – 6, 2021.
    4. Flagship conference of IEEE India.
  4. 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.
    5. CORE Rank B.
  5. 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.
    6. Flagship conference of IEEE Computational Intelligence Society.
  6. 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).
    7. CORE Rank A*.
  7. 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.
    8. CORE Rank B.