Faculty profile
Sheela Ramanna
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Latest papers
Hybrid representation learning for human m6A modifications with chromosome-level generalizability.
Bioinformatics advances · 2025
Speech emotion recognition with light weight deep neural ensemble model using hand crafted features.
Scientific reports · 2025
Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19.
Frontiers in artificial intelligence · 2023 · first author
Latest funding
- $29,988
Examining ensemble machine-learning approaches to improve precipitation forecasting
NSERC · 2021 · Principal investigator
- $138,000
Tolerance-based Granular Computing Methods in Learning: Foundations and Applications
NSERC · 2019 · Principal investigator
- $25,000
Classification of road conditions from images with deep learning frameworks********
NSERC · 2018 · Principal investigator
10 publications.
Hybrid representation learning for human m6A modifications with chromosome-level generalizability.
Tahir M, Ramanna S, Liu Q
Speech emotion recognition with light weight deep neural ensemble model using hand crafted features.
Chowdhury JH, Ramanna S, Kotecha K
Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19.
Ramanna S, Ashrafi N, Loster E, Debroni K, Turner S
Using machine learning to improve neutron identification in water Cherenkov detectors.
Jamieson B, Stubbs M, Ramanna S, Walker J, Prouse N, Akutsu R, de Perio P, Fedorko W
Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets.
Moghaddam HR, Ramanna S
Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain.
Don APH, Peters JF, Ramanna S, Tozzi A
The human brain from above: an increase in complexity from environmental stimuli to abstractions.
Peters JF, Tozzi A, Ramanna S, İnan E
Bold-Independent Computational Entropy Assesses Functional Donut-Like Structures in Brain fMRI Images.
Peters JF, Ramanna S, Tozzi A, İnan E
Brain tissue tessellation shows absence of canonical microcircuits.
Peters JF, Tozzi A, Ramanna S
Store-and-feedforward adaptive gaming system for hand-finger motion tracking in telerehabilitation.
Lockery D, Peters JF, Ramanna S, Shay BL, Szturm T
Examining ensemble machine-learning approaches to improve precipitation forecasting
Principal investigators: Ramanna, Sheela
Tolerance-based Granular Computing Methods in Learning: Foundations and Applications
Principal investigators: Ramanna, Sheela
Keywords: tolerance spaces; rough sets; near sets; machine learning; granular computing; descriptive proximity
Classification of road conditions from images with deep learning frameworks********
Principal investigators: Ramanna, Sheela
Tolerance Methods in Learning: Foundations and Applications
Principal investigators: Ramanna, Sheela
Content aggregation and content user modelling in domain specific social networks
Principal investigators: Ramanna, Sheela
Discovery of Patterns in Associated Sets: Foundations and Applications
Principal investigators: Ramanna, Sheela
Granular computing approach to software requirements conflict analysis and resolution for large-scale scale systems
Principal investigators: Ramanna, Sheela
Approximate reasoning approach ro software quality assessment models and processes
Principal investigators: Ramanna, Sheela
Web and document database system and quantitative software engineering
Principal investigators: Chen, Yangjun
Hybrid software quality measurement systems: concipts, models and applications
Principal investigators: Ramanna, Sheela
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Tony Szturm and Sheela Ramanna: 1 shared paper
- Shelley Turner and Sheela Ramanna: 1 shared paper
- Blair Jamieson and Sheela Ramanna: 1 shared paper
- Sheela Ramanna and Qian Liu: 1 shared paper
- Applied Computer Science Dept.
- Physics
- Applied Computer Science
- Other
Co-authors at University of Winnipeg, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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