Adaptation of team-based learning on a first term programming class. - Patricia Lasserre (ITiCSE, 2009)

Proposal for a new strategy to practice programming. - Patricia Lasserre; Kyle Kotowick (WCCCE, 2010)

Quackback: a software for peer evaluation within teams. - Patricia Lasserre; Steven McAvoy; Geoffrey Appleby (WCCCE, 2010)

A proposal for a new communication medium in the classroom. - Patricia Lasserre; Steven Smithbower (WCCCE, 2010)

Effects of team-based learning on a CS1 course. - Patricia Lasserre; Carolyn Szostak (ITiCSE, 2011)

A mobile application for collaborative learning. - Salma Kheiravar; Patricia Lasserre; Robert Campbell (Mobile HCI (Companion), 2012)

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 (ICSM, 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 (ICSM, 2019)

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 (OZCHI, 2020)

Boosted Dense Segmentation Networks For Constrained Distributed Systems. - John Brandon Graham-Knight; Abtin Djavadifar; Homayoun Najjaran; Patricia Lasserre (SMC, 2021)

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)

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)

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)

Conformal-in-the-Loop for Learning with Imbalanced Noisy Data. - John Brandon Graham-Knight; Jamil Fayyad; Nourhan Bayasi; Patricia Lasserre; Homayoun Najjaran (CoRR, 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., 2024)

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)

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)

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)

A context-aware multi-stream attentive convolutional neural network for surface defect segmentation. - Md. Rayhan Ahmed; Patricia Lasserre (Inf. Sci., 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, 2025)