Patricia Lasserre

According to our database, Patricia Lasserre authored at least 20 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring.

Mostafa Abbasi, Maziyar Khadivi, Maryam Ahang, Patricia Lasserre, Yves Lucet, Homayoun Najjaran

CoRR, January, 2025

A context-aware multi-stream attentive convolutional neural network for surface defect segmentation.

Md. Rayhan Ahmed, Patricia Lasserre

Inf. Sci., 2025

FusionSegNet: A Hierarchical Multi-Axis Attention and gated feature fusion network for breast lesion segmentation with uncertainty modeling in ultrasound imaging.

Md Rayhan Ahmed, Patricia Lasserre

Inf. Fusion, 2025

Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification.

Md. Rayhan Ahmed, Mohamed S. Shehata, Patricia Lasserre

Comput. Biol. Medicine, 2025

A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches).

Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond, John Brandon Graham-Knight, Patricia Lasserre, Yves Lucet, Homayoun Najjaran

Bus. Process. Manag. J., 2025

2024

Exploring the Effect of Viewing Attributes of Mobile AR Interfaces on Remote Collaborative and Competitive Tasks.

Nelusha Nugegoda, Marium-E. Jannat, Khalad Hasan, Patricia Lasserre

IEEE Trans. Vis. Comput. Graph., November, 2024

Conformal-in-the-Loop for Learning with Imbalanced Noisy Data.

John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi, Patricia Lasserre, Homayoun Najjaran

CoRR, 2024

A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches).

Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond, John Brandon Graham-Knight, Patricia Lasserre, Yves Lucet, Homayoun Najjaran

CoRR, 2024

2023

Predicting and explaining performance and diversity of neural network architecture for semantic segmentation.

John Brandon Graham-Knight, Corey Bond, Homayoun Najjaran, Yves Lucet, Patricia Lasserre

Expert Syst. Appl., 2023

2022

Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks.

Abtin Djavadifar, John Brandon Graham-Knight, Marian Körber, Patricia Lasserre, Homayoun Najjaran

J. Intell. Manuf., 2022

2021

Boosted Dense Segmentation Networks For Constrained Distributed Systems.

John Brandon Graham-Knight, Abtin Djavadifar, Homayoun Najjaran, Patricia Lasserre

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

Exploring Haptic Feedback for Common Message Notification Between Intimate Couples with Smartwatches.

John Brandon Graham-Knight, Jon Michael Robert Corbett, Patricia Lasserre, Hai-Ning Liang, Khalad Hasan

Proceedings of the OzCHI '20: 32nd Australian Conference on Human-Computer-Interaction, 2020

2019

Accurate Kidney Segmentation in CT Scans Using Deep Transfer Learning.

John Brandon Graham-Knight, Kymora Scotland, Victor K. F. Wong, Abtin Djavadifar, Dirk Lange, Ben H. Chew, Patricia Lasserre, Homayoun Najjaran

Proceedings of the Smart Multimedia - Second International Conference, 2019

Robot-Assisted Composite Manufacturing Based on Machine Learning Applied to Multi-view Computer Vision.

Abtin Djavadifar, John Brandon Graham-Knight, Kashish Gupta, Marian Körber, Patricia Lasserre, Homayoun Najjaran

Proceedings of the Smart Multimedia - Second International Conference, 2019

2012

A mobile application for collaborative learning.

Salma Kheiravar, Patricia Lasserre, Robert Campbell

Proceedings of the Mobile HCI '12, 2012

2011

Effects of team-based learning on a CS1 course.

Patricia Lasserre, Carolyn Szostak

Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2011

2010

A proposal for a new communication medium in the classroom.

Patricia Lasserre, Steven Smithbower

Proceedings of the 15th Western Canadian Conference on Computing Education, 2010

Quackback: a software for peer evaluation within teams.

Patricia Lasserre, Steven McAvoy, Geoffrey Appleby

Proceedings of the 15th Western Canadian Conference on Computing Education, 2010

Proposal for a new strategy to practice programming.

Patricia Lasserre, Kyle Kotowick

Proceedings of the 15th Western Canadian Conference on Computing Education, 2010

2009

Adaptation of team-based learning on a first term programming class.

Patricia Lasserre

Proceedings of the 14th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2009