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Srividya Tirunellai Rajamani
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2020 – today
- 2024
- [b1]Srividya Tirunellai Rajamani:
Deep Learning for health data: attention, activations and beyond. University of Augsburg, Germany, 2024 - [c11]Srividya Tirunellai Rajamani, Kumar T. Rajamani, Angeline J
, Karthika R, Björn W. Schuller:
CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases. EMBC 2024: 1-4 - 2023
- [j3]Srividya Tirunellai Rajamani
Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access 11: 95334-95345 (2023) - [j2]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
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. Frontiers Digit. Health 5 (2023) - [c10]Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller:
A novel and simple approach to regularise attention frameworks and its efficacy in segmentation. EMBC 2023: 1-4 - [i3]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
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare. CoRR abs/2301.10477 (2023) - 2022
- [j1]Alexander Kathan, Mathias Harrer
Personalised depression forecasting using mobile sensor data and ecological momentary assessment. Frontiers Digit. Health 4 (2022) - [c9]Srividya Tirunellai Rajamani, Kumar Rajamani, Priya Rani, Rashmita Barick, Ramasubramanya M. S, Sridevi V. Aithal, Elagiri Ramalingam Rajkumar, Sahana D. Gowda, Björn W. Schuller:
Novel no-reference multi-dimensional perceptual similarity metric. EMBC 2022: 2045-2048 - [c8]Srividya Tirunellai Rajamani, Kumar Rajamani, Alexander Kathan, Björn W. Schuller:
Novel Insights on Induced Sparsity in Multi-Time Attention Networks. EMBC 2022: 2615-2618 - [c7]Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting. EMBC 2022: 2627-2630 - [c6]Kumar Rajamani, Sahana D. Gowda, Vishwa Nedunoori Tej, Srividya Tirunellai Rajamani:
Deformable attention (DANet) for semantic image segmentation. EMBC 2022: 3781-3784 - [c5]Xiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data. EMBC 2022: 4679-4682 - [i2]Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting. CoRR abs/2205.03391 (2022) - [i1]Xiangheng He, Andreas Triantafyllopoulos, Alexander Kathan, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Harrer, Elena Heber
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data. CoRR abs/2205.07861 (2022) - 2021
- [c4]Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-Ragolta, Shuo Liu, Björn W. Schuller:
A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition. ICASSP 2021: 6294-6298 - [c3]Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller:
Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music. MMSP 2021: 1-5 - 2020
- [c2]Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Srividya Tirunellai Rajamani, Björn W. Schuller:
Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks. MediaEval 2020 - [c1]Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller:
Emotion and Theme Recognition in Music Using Attention-Based Methods. MediaEval 2020
Coauthor Index
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