Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks. - Maurice Gerczuk; Shahin Amiriparian; Sandra Ottl; Srividya Tirunellai Rajamani; Björn W. Schuller (MediaEval, 2020)

Emotion and Theme Recognition in Music Using Attention-Based Methods. - Srividya Tirunellai Rajamani; Kumar T. Rajamani; Björn W. Schuller (MediaEval, 2020)

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 012; Björn W. Schuller (ICASSP, 2021)

Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music. - Srividya Tirunellai Rajamani; Kumar T. Rajamani; Björn W. Schuller (MMSP, 2021)

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 (EMBC, 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 (EMBC, 2022)

Deformable attention (DANet) for semantic image segmentation. - Kumar Rajamani 001; Sahana D. Gowda; Vishwa Nedunoori Tej; Srividya Tirunellai Rajamani (EMBC, 2022)

Novel Insights on Induced Sparsity in Multi-Time Attention Networks. - Srividya Tirunellai Rajamani; Kumar Rajamani 001; Alexander Kathan; Björn W. Schuller (EMBC, 2022)

Novel no-reference multi-dimensional perceptual similarity metric. - Srividya Tirunellai Rajamani; Kumar Rajamani 001; Priya Rani; Rashmita Barick; Ramasubramanya M. S; Sridevi V. Aithal; Elagiri Ramalingam Rajkumar; Sahana D. Gowda; Björn W. Schuller (EMBC, 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; et al. (Frontiers Digit. Health, 2022)

A novel and simple approach to regularise attention frameworks and its efficacy in segmentation. - Srividya Tirunellai Rajamani; Kumar T. Rajamani; Björn W. Schuller (EMBC, 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)

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. - Andreas Triantafyllopoulos; Alexander Kathan; Alice Baird; Lukas Christ; Alexander Gebhard 001; Maurice Gerczuk; Vincent Karas; Tobias Hübner; Xin Jing; Shuo Liu 012; Adria Mallol-Ragolta; Manuel Milling; et al. (Frontiers Digit. Health, 2023)

CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases. - Srividya Tirunellai Rajamani; Kumar T. Rajamani; Angeline J; Karthika R; Björn W. Schuller (EMBC, 2024)

Deep Learning for health data: attention, activations and beyond. - Srividya Tirunellai Rajamani (2024)

Automatic Contouring of Spinal Vertebrae on X-Ray using a Novel Sandwich U-Net Architecture. - Sunil Munthumoduku Krishna Murthy; Kumar T. Rajamani; Srividya Tirunellai Rajamani; Yupei Li; Qiyang Sun; Björn W. Schuller (CoRR, 2025)