Faculty profile
Sandra Zilles
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Research
Latest papers
The challenges facing deep learning-based catheter localization for ultrasound guided high-dose-rate prostate brachytherapy.
Medical physics · 2022 · senior author
Machine Learning to Identify Gene Interactions from High-Throughput Mutant Crosses.
Methods in molecular biology (Clifton, N.J.) · 2021 · senior author
Systems analysis of the genetic interaction network of yeast molecular chaperones.
Molecular omics · 2018
Latest funding
- $249,374
Graphing Emerging Threats: Making Social Networks More Resilient to Malicious Attacks
SSHRC · 2023 · Co-investigator
- $260,000
Software Design for Forecasting Populations in Custody and Analysis of Telephone Call Metadata
NSERC · 2022 · Co-investigator
- $600,000
Computational Learning Theory
NSERC · 2021 · Principal investigator
4 publications.
The challenges facing deep learning-based catheter localization for ultrasound guided high-dose-rate prostate brachytherapy.
Liu D, Tupor S, Singh J, Chernoff T, Leong N, Sadikov E, Amjad A, Zilles S
Machine Learning to Identify Gene Interactions from High-Throughput Mutant Crosses.
Kumar A, Cameron ADS, Zilles S
Systems analysis of the genetic interaction network of yeast molecular chaperones.
Rizzolo K, Kumar A, Kakihara Y, Phanse S, Minic Z, Snider J, Stagljar I, Zilles S, Babu M, Houry WA
Computational Analysis of the Chaperone Interaction Networks.
Kumar A, Rizzolo K, Zilles S, Babu M, Houry WA
Graphing Emerging Threats: Making Social Networks More Resilient to Malicious Attacks
Principal investigators: McQuinn, Brian
Software Design for Forecasting Populations in Custody and Analysis of Telephone Call Metadata
Principal investigators: Hamilton, Howard HJ
Keywords: data mining; decision making; deep learning; machine learning; microsimulation; stock and flow simulation; telephone communication analysis
Computational Learning Theory
Principal investigators: Zilles, Sandra
Keywords: machine learning; artificial intelligence; machine teaching; multi-agent systems; theoretical computer science
Public Safety and Trust Based Systems
Principal investigators: Hamilton, Howard HJ
Public Safety Informatics
Principal investigators: Hamilton, Howard
Predictive analytics for social innovation and public safety
Principal investigators: Hamilton, Howard
Models and algorithms for interactive machine learning applied to formal languages and geometric concepts
Principal investigators: Zilles, Sandra
Keywords: computational learning theory; learning from teachers; learning from queries; decision problems; pattern languages; formal language theory; learning geometric concepts
Computational Learning Theory
Principal investigators: Zilles, Sandra
Computational Learning Theory
Principal investigators: Zilles, Sandra
Computational Learning Theory
Principal investigators: Zilles, Sandra
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
- Mohan Babu and Igor Stagljar: 14 shared papers
- Mohan Babu and Sandra Zilles: 2 shared papers
- Igor Stagljar and Sandra Zilles: 1 shared paper
- Department of Computer Science
- Chemistry and Biochemistry
- Biochemistry
Co-authors at University of Regina, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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