Srividya Tirunellai Rajamani

According to our database, Srividya Tirunellai Rajamani authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.

Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller

Frontiers Digit. Health, May, 2023

Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Ashwin Venkateshvaran, Andreas Triantafyllopoulos, Alexander Kathan, Björn W. Schuller

IEEE Access, 2023

A novel and simple approach to regularise attention frameworks and its efficacy in segmentation.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Personalised depression forecasting using mobile sensor data and ecological momentary assessment.

Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller

Frontiers Digit. Health, 2022

Novel no-reference multi-dimensional perceptual similarity metric.

Srividya Tirunellai Rajamani, Kumar Rajamani, Priya Rani, Rashmita Barick, Ramasubramanya M. S, Sridevi V. Aithal, Elagiri Ramalingam Rajkumar, Sahana D. Gowda, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Novel Insights on Induced Sparsity in Multi-Time Attention Networks.

Srividya Tirunellai Rajamani, Kumar Rajamani, Alexander Kathan, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Deformable attention (DANet) for semantic image segmentation.

Kumar Rajamani, Sahana D. Gowda, Vishwa Nedunoori Tej, Srividya Tirunellai Rajamani

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting.

Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Depression Diagnosis and Forecast based on Mobile Phone Sensor Data.

Xiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Emotion and Theme Recognition in Music Using Attention-Based Methods.

Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks.

Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Srividya Tirunellai Rajamani, Björn W. Schuller

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020