Dynamic 3D graph visualizations in julia. - Chirag Jamadagni; Abhijith Anilkumar; Kevin Thomas Mathew; Manjunath Mulimani; Shashidhar G. Koolagudi (SummerSim, 2016)

Image Processing Approach to Diagnose Eye Diseases. - M. Prashasthi; K. S. Shravya; Ankit Deepak; Manjunath Mulimani; Shashidhar G. Koolagudi (ACIIDS (2), 2017)

Currency recognition system using image processing. - Vedasamhitha Abburu; Saumya Gupta; S. R. Rimitha; Manjunath Mulimani; Shashidhar G. Koolagudi (IC3, 2017)

Robust Acoustic Event Classification Using Bag-of-Visual-Words. - Manjunath Mulimani; Shashidhar G. Koolagudi (INTERSPEECH, 2018)

Sobriety Testing Based on Thermal Infrared Images Using Convolutional Neural Networks. - Aditya K. Kamath; A. Tarun Karthik; Leslie Monis; Manjunath Mulimani; Shashidhar G. Koolagudi (TENCON, 2018)

Acoustic Event Classification Using Spectrogram Features. - Manjunath Mulimani; Shashidhar G. Koolagudi (TENCON, 2018)

Locality-Constrained Linear Coding Based Fused Visual Features for Robust Acoustic Event Classification. - Manjunath Mulimani; Shashidhar G. Koolagudi (INTERSPEECH, 2019)

Extraction of MapReduce-based features from spectrograms for audio-based surveillance. - Manjunath Mulimani; Shashidhar G. Koolagudi (Digit. Signal Process., 2019)

Segmentation and characterization of acoustic event spectrograms using singular value decomposition. - Manjunath Mulimani; Shashidhar G. Koolagudi (Expert Syst. Appl., 2019)

Polyphonic Sound Event Detection Using Transposed Convolutional Recurrent Neural Network. - Chandra Churh Chatterjee; Manjunath Mulimani; Shashidhar G. Koolagudi (ICASSP, 2020)

A Deep Neural Network-Driven Feature Learning Method for Polyphonic Acoustic Event Detection from Real-Life Recordings. - Manjunath Mulimani; Akash B. Kademani; Shashidhar G. Koolagudi (ICASSP, 2020)

Acoustic Scene Classification Using Kervolution-Based SubSpectralNet. - Ritika Nandi; Shashank Shekhar; Manjunath Mulimani (Interspeech, 2021)

Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset. - Soham Tiwari; Kshitiz Lakhotia; Manjunath Mulimani (CoRR, 2021)

ComposeInStyle: Music composition with and without Style Transfer. - Sreetama Mukherjee; Manjunath Mulimani (Expert Syst. Appl., 2022)

Network intrusion detection using fusion features and convolutional bidirectional recurrent neural network. - H. Jagruthi; C. Kavitha; Manjunath Mulimani (Int. J. Comput. Appl. Technol., 2022)

Incremental Learning of Acoustic Scenes and Sound Events. - Manjunath Mulimani; Annamaria Mesaros (CoRR, 2023)

Acoustic scene classification using projection Kervolutional neural network. - Manjunath Mulimani; Ritika Nandi; Shashidhar G. Koolagudi (Multim. Tools Appl., 2023)

Acoustic Scene Classification using Deep Fisher network. - Spoorthy Venkatesh; Manjunath Mulimani; Shashidhar G. Koolagudi (Digit. Signal Process., 2023)

Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations. - Manjunath Mulimani; Annamaria Mesaros (EUSIPCO, 2024)

Class-Incremental Learning for Multi-Label Audio Classification. - Manjunath Mulimani; Annamaria Mesaros (ICASSP, 2024)

Domain-Incremental Learning for Audio Classification. - Manjunath Mulimani; Annamaria Mesaros (ICASSP, 2025)

Class-Incremental Learning for Sound Event Localization and Detection. - Ruchi Pandey; Manjunath Mulimani; Archontis Politis; Annamaria Mesaros (ICASSP Workshops, 2025)

Acoustic Event and Scene Classification: A Review. - Manjunath Mulimani; Spoorthy Venkatesh; Shashidhar G. Koolagudi (SN Comput. Sci., 2025)