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Rittika Shamsuddin
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2020 – today
- 2023
- [c8]Jewelle D. Stone, Habib Boloorchi Tabrizi, Rittika Shamsuddin:
Enhancing ProteinBERT: Integrating Intrinsically Disordered Proteins for Comprehensive Proteomic Predictions. BIBM 2023: 3824-3831 - 2022
- [c7]Avinash Gupta, Joe Cecil, Miguel Pirela-Cruz, Rittika Shamsuddin
, Shelia Kennison, Christopher Crick
An Investigation on the Role of Affordance in the Design of Extended Reality based Environments for Surgical Training. SysCon 2022: 1-7 - 2021
- [j5]Md. Mazharul Islam
Machine learning to promote health management through lifestyle changes for hypertension patients. Array 12: 100090 (2021) - [j4]Barbara Mukami Maweu, Sagnik Dakshit
CEFEs: A CNN Explainable Framework for ECG Signals. Artif. Intell. Medicine 115: 102059 (2021) - [j3]Barbara Mukami Maweu
Generating Healthcare Time Series Data for Improving Diagnostic Accuracy of Deep Neural Networks. IEEE Trans. Instrum. Meas. 70: 1-15 (2021)
2010 – 2019
- 2018
- [c6]Rittika Shamsuddin
Virtual Patient Model: An Approach for Generating Synthetic Healthcare Time Series Data. ICHI 2018: 208-218 - [c5]Rittika Shamsuddin
Exploring functional clinical attributes for macular dystrophy detection. IWISC 2018: 38-43 - 2017
- [j2]Rittika Shamsuddin
Developing a Low Dimensional Patient Class Profile in Accordance to Their Respiration-Induced Tumor Motion. Proc. VLDB Endow. 10(12): 1610-1621 (2017) - 2015
- [c4]Rittika Shamsuddin
Calculating Patient Similarity Based on Respiration Induced Tumor Motion. ICHI 2015: 122-129 - [c3]Rittika Shamsuddin
Prediction and Tracking Changes in Bio-medical Sensor Data. ICHI 2015: 468 - 2014
- [j1]Rittika Shamsuddin
Computational prediction of hinge axes in proteins. BMC Bioinform. 15(S-8): S2 (2014) - [c2]Arvind Balasubramanian, Rittika Shamsuddin
Exploring Baseline Shift Prediction in Respiration Induced Tumor Motion. ICHI 2014: 155-160 - 2013
- [c1]Rittika Shamsuddin
Computational prediction of hinge axes in proteins. ICCABS 2013: 1-2
Coauthor Index
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