An Explainable Data Depth-Based Method in Anti-Money Laundering (AML) Domain (CASCON 2025 - Technical Papers)

Mon 10 - Thu 13 November 2025

Who

hanieh ghabelialla, David Bremner, Rasoul Shahsavarifar

Track

CASCON 2025 74 Technical Papers

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When

Thu 13 Nov 2025 11:10 - 11:30 at Room 4 - TP:22:89:139:143: Applications of AI I

hanieh ghabelialla

University of New Brunswick

Canada

David Bremner

University of New Brunswick

Canada

Rasoul Shahsavarifar

Faculty of computer science University of New Brunswick

Canada

Time Zone

The program is currently displayed in (GMT-05:00) Eastern Time (US & Canada).

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Session Program

Thu 13 Nov
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10:30 - 12:00	TP:22:89:139:143: Applications of AI I 74 Technical Papers at Room 4

10:30 20m Talk		ChatAcadien: A RAG-LLM-Based Chatbot for Exploring Acadian GenealogyIndustry 74 Technical Papers Rayen Ghali University of Moncton, Sid Ahmed Selouani University of Moncton
10:50 20m Talk		Designing Large Language Models for Specific Domains: A Case Study on Live Microbe Foods for Precision NutritionIndustry 74 Technical Papers Paraskevi Massara Department of Nutritional Sciences, University of Toronto, Stephanie Saab Department of Nutritional Sciences, University of Toronto, Baran Aghdasi Department of Nutritional Sciences, University of Toronto, Charles D.G. Keown-Stoneman Applied Health Research Centre, Li Ka Shing Knowledge Institute, St Michael’s Hospital, Jonathon L. Maguire Li Ka Shing Knowledge Institute, St Michael’s Hospital, Catherine Birken Child Health Evaluative Sciences, The Hospital for Sick Children, Mary L'Abbe Department of Nutritional Sciences, University of Toronto, Elena M Comelli Department of Nutritional Sciences, University of Toronto
11:10 20m Talk		An Explainable Data Depth-Based Method in Anti-Money Laundering (AML) DomainShort-Paper 74 Technical Papers hanieh ghabelialla University of New Brunswick, David Bremner University of New Brunswick, Rasoul Shahsavarifar Faculty of computer science University of New Brunswick
11:30 30m Research paper		CARGO: A Framework for Confidence-Aware Routing of Large Language Models 74 Technical Papers Amine Barrak Oakland University, USA, Yosr Fourati Department of Computer Science and Engineering, Oakland University., Michael Olchawa Department of Computer Science and Engineering, Oakland University., Emna Ksontini University of North Carolina Wilmington, Khalil Zoghlami Department of Computer Science and Engineering, Oakland University. Pre-print