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Srividya Tirunellai Rajamani
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2020 – today
- 2023
- [j3]Srividya Tirunellai Rajamani
, Kumar T. Rajamani
, Ashwin Venkateshvaran
, Andreas Triantafyllopoulos
, Alexander Kathan
, Björn W. Schuller
:
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
, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller:
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
, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller:
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare. CoRR abs/2301.10477 (2023) - 2022
- [j1]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
:
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, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller:
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, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller:
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, Inga Grossmann, David D. Ebert, Björn W. Schuller:
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, Inga Grossmann, David D. Ebert, Björn W. Schuller:
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
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