Publications

Peer-reviewed journal publications:

  1. Spoorthy V., Manjunath Mulimani, Shashidhar G. Koolagudi. “Acoustic Scene Classification using Deep Fisher Network”, Digital Signal Processing 2023, vol.139, Elsevier.

  2. Manjunath Mulimani, Ritika Nandi, Shashidhar G. Koolagudi. “Acoustic Scene Classification using Projection Kervolutional Neural Network”, Multimedia Tools and Applications 2022, pp. 1-11, Springer.

  3. Sreetama Mukherjee, Manjunath Mulimani. “ComposeInStyle - Music composition with and without Style Transfer”, Expert Systems with Applications 2022, vol. 191, Elsevier.

  4. Jagruthi H, Kavitha C, Manjunath Mulimani. “Network Intrusion Detection using Fusion Features and Convolutional Bidirectional Recurrent Neural Network”, International Journal on Computer Applications in Technology 2022, vol. 69, pp. 93-100, Inderscience.

  5. Ritika Nandi, Manjunath Mulimani. “Detection of COVID-19 from X-rays using Hybrid Deep Learning Models”, Research on Biomedical Engineering 2021, vol. 37, pp. 687-695, Springer.

  6. Manjunath Mulimani, Shashidhar G. Koolagudi. “Extraction of MapReduce-based Features from Spectrograms for Audio-based Surveillance”, Digital Signal Processing 2019, vol. 87, pp. 1-9, Elsevier.

  7. Manjunath Mulimani, Shashidhar G. Koolagudi. “Segmentation and Characterization of Acoustic Event Spectrograms using Singular Value Decomposition”, Expert Systems with Applications 2019, vol. 120, pp. 413-425, Elsevier.

  8. Manjunath Mulimani, Shashidhar G. Koolagudi. “Robust Acoustic Event Classification using Fusion Fisher Vector features”, Applied Acoustics 2019, vol. 155, pp. 130-138, Elsevier.

Peer-reviewed conference publications:

  1. Manjunath Mulimani, Annamaria Mesaros. “Acoustic Scene Classification Across Multiple Devices through Incremental Learning of Device-Specific Domains”, DCASE Workshop 2024, pp. 81–85.

  2. Manjunath Mulimani, Annamaria Mesaros. “Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations”, IEEE EUSIPCO 2024, pp. 96–100.

  3. Manjunath Mulimani, Annamaria Mesaros. “Class-Incremental Learning for Multi-label Audio Classification”, IEEE ICASSP 2024, pp. 916–920.

  4. Manjunath Mulimani, Annamaria Mesaros. “Incremental Learning of Acoustic Scenes and Sound Events”, Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) 2023, pp. 141-145.

  5. Shantanu Sachdeva, Manjunath Mulimani. “Acoustic Scene Classification using Fusion of Features and Random Forest Classifier”, IEEE International Conference on Computing for Sustainable Global Development (INDIACom) 2022, pp. 654-658.

  6. Ritika Nandi, Manjunath Mulimani. “Acoustic Scene Classification using Kervolutional-Based SubSpectralNet”, INTERSPEECH 2021, pp. 561-565.

  7. Spoorthy V., Manjunath Mulimani, Shashidhar G. Koolagudi. “Acoustic Scene Classification using Deep Learning Architectures”, IEEE International Conference for Convergence in Technology (I2CT) 2021, pp. 1-6.

  8. Manjunath Mulimani, Akash Kademani, Shashidhar G. Koolagudi. “A Deep Neural Network-Driven Features Learning Method for Polyphonic Acoustic Event Detection from Real-life Recordings”, IEEE ICASSP 2020, pp. 291-295.

  9. Chundra Chur Chetterjee, Manjunath Mulimani, Shashidhar G. Koolagudi. “Polyphonic Sound Event Detection using Transposed Convolutional Recurrent Neural Network”, IEEE ICASSP 2020, pp. 661-665.

  10. Manjunath Mulimani, Shashidhar G. Koolagudi. “Locality-constrained Linear Coding based Fused Visual Features for Robust Acoustic Event Classification”, INTERSPEECH 2019, pp. 2558-2562.

  11. Manjunath Mulimani, Shashidhar G. Koolagudi. “Robust Acoustic Event Classification Using Bag-of-Visual-Words”, INTERSPEECH 2018, pp.3319-3322.

  12. Manjunath Mulimani, Shashidhar G. Koolagudi. “Acoustic Event Classification using Spectrogram Feature”, in Region 10 Conference, TENCON 2018, pp. 1460-1464, IEEE.

  13. Manjunath Mulimani, Jahnavi UP, Shashidhar G. Koolagudi. “Acoustic Event Classification using Graph Signal”, in Region 10 Conference, TENCON 2017, pp. 1812-1816, IEEE.

  14. Aditya K. Kamath, A. Tarun Karthik, Leslie Monis, Manjunath Mulimani, Shashidhar G. Koolagudi. “Sobriety Testing Based on Thermal Infrared Images Using Convolutional Neural Networks”, in Region 10 Conference, TENCON 2018, pp. 2170-2174, IEEE.

  15. Abburu, Vedasamhitha, Saumya Gupta, S. R. Rimitha, Manjunath Mulimani, and Shashidhar G. Koolagudi. “Currency recognition system using image processing” In Tenth International Conference on Contemporary Computing (IC3) 2017, pp. 1-6., IEEE.

  16. Prashasthi, M., K. S. Shravya, Ankit Deepak, Manjunath Mulimani, and Koolagudi G. Shashidhar. “Image Processing Approach to Diagnose Eye Diseases” In Asian Conference on Intelligent Information and Database Systems 2017, pp. 245-254. Springer, Cham.

  17. Jamadagni, Chirag, Abhijith Anilkumar, Kevin Thomas Mathew, Manjunath Mulimani, and Shashidhar Koolagudi. “Dynamic 3D graph visualizations in Julia.” In Proceedings of the Summer Computer Simulation Conference 2016, pp. 21-25., ACM.

  18. Manjunath, Mulimani, Bhandary Anjali, N. Ashwini, K. Nagadeeksha, and S. Jayashree. “NEBULA: Deployment of Cloud Using Open Source.” In Proceedings of the International Conference on Soft Computing Systems 2016, pp. 647-653. Springer, New Delhi.

Technical reports:

  1. Soham Tiwari, Manjunath Mulimani, “Evaluating the Robustness of You Only Hear Once (YOHO) Algorithm on Noisy Audios in the VOICe dataset” In NeurlPS Efficient Natural Language and Speech Processing (ENLSP) Workshop 2021.

  2. Manjunath Mulimani, and Shashidhar G. Koolagudi. “Acoustic scene classification using MFCC and MP features.” In Proceedings of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2016.