Tharindu Fernando

2.1k total citations
45 papers, 1.2k citations indexed

About

Tharindu Fernando is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Tharindu Fernando has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Cognitive Neuroscience. Recurrent topics in Tharindu Fernando's work include Music and Audio Processing (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Tharindu Fernando is often cited by papers focused on Music and Audio Processing (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Tharindu Fernando collaborates with scholars based in Australia, Sri Lanka and Denmark. Tharindu Fernando's co-authors include Sridha Sridharan, Clinton Fookes, Simon Denman, Theekshana Dissanayake, Houman Ghaemmaghami, David Ahmedt‐Aristizabal, Kristin R. Laurens, Patrick Johnston, Jonathan Robinson and Kien Nguyen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and IEEE Signal Processing Magazine.

In The Last Decade

Tharindu Fernando

41 papers receiving 1.2k citations

Peers

Countries citing papers authored by Tharindu Fernando

Since Specialization

Citations

This map shows the geographic impact of Tharindu Fernando's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tharindu Fernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tharindu Fernando more than expected).

Fields of papers citing papers by Tharindu Fernando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tharindu Fernando. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tharindu Fernando. The network helps show where Tharindu Fernando may publish in the future.

Co-authorship network of co-authors of Tharindu Fernando

This figure shows the co-authorship network connecting the top 25 collaborators of Tharindu Fernando. A scholar is included among the top collaborators of Tharindu Fernando based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tharindu Fernando. Tharindu Fernando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhancing predictive performance on long-tail trajectories via clustering and specialized decoders 2025 ·Pattern Recognition ·(unknown), Tharindu Fernando, Sridha Sridharan, Clinton Fookes	0
2	Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking 2024 ·(unknown), Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes	0
3	Physics Augmented Tuple Transformer for Autism Severity-Level Detection 2024 ·IEEE Sensors Journal ·(unknown), Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Clinton Fookes	0
4	Decoupled and Explainable Associative Memory for Effective Knowledge Propagation 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Tharindu Fernando, (unknown), Sridha Sridharan, Clinton Fookes	0
5	Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works 2024 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Nhi Ngo, Kien Nguyen, (unknown), Tharindu Fernando, Clinton Fookes, Sridha Sridharan	13
6	Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization 2023 ·Pattern Recognition ·Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	9
7	Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis 2020 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	21
8	Heart Sound Segmentation using Bidirectional LSTMs with Attention 2020 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, (unknown), Clinton Fookes	60
9	Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection 2020 ·arXiv (Cornell University) ·Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes	3
10	Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection 2020 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, (unknown), Simon Denman, Clinton Fookes	7
11	A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation 2020 ·IEEE Journal of Biomedical and Health Informatics ·Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes	69
12	Neural memory plasticity for medical anomaly detection 2020 ·Neural Networks ·Tharindu Fernando, Simon Denman, David Ahmedt‐Aristizabal, Sridha Sridharan, Kristin R. Laurens, Patrick Johnston, Clinton Fookes	34
13	Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning 2018 ·Adaptive Agents and Multi-Agents Systems ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	8
14	Deep decision trees for discriminative dictionary learning with adversarial multi-agent trajectories 2018 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Simon Denman	1
15	Task specific visual saliency prediction with memory augmented conditional generative adversarial networks 2018 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	16
16	Tracking by prediction: A deep generative model for multi-person localisation and tracking 2018 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	39
17	Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection 2018 ·Neural Networks ·Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes	256
18	A hierarchical multimodal system for motion analysis in patients with epilepsy 2018 ·Epilepsy & Behavior ·David Ahmedt‐Aristizabal, Clinton Fookes, Simon Denman, Kien Nguyen, Tharindu Fernando, Sridha Sridharan, Sasha Dionisio	28
19	Tree Memory Networks for modelling long-term temporal dependencies 2018 ·Neurocomputing ·Tharindu Fernando, Simon Denman, Aaron McFadyen, Sridha Sridharan, Clinton Fookes	30
20	Discovering methods of scoring in soccer using tracking data 2015 ·QUT ePrints (Queensland University of Technology) ·Tharindu Fernando, Xinyu Wei, Clinton Fookes, Sridha Sridharan, Patrick Lucey	12

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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