Adaptive Incremental Learning for Anomaly Detection under Domain Shift: An Additive Manufacturing Case Study (ACSOS 2026 - Workshops) - ACSOS 2026

Mon 7 - Fri 11 September 2026 Cesena, Italy

Who

Akram Zarchini, Denis Dowling, Fatemeh Golpayegani

Track

ACSOS 2026 Workshops

Time Zone

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When

Mon 7 Sep 2026 09:30 - 09:50 at 2.4 - AI4AS - Paper Session 1

Akram Zarchini

Denis Dowling

Fatemeh Golpayegani

University College Dublin

Ireland

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program

Mon 7 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	09:30 - 11:00	AI4AS - Paper Session 1 Workshops at 2.4

	09:30 20m Paper		Adaptive Incremental Learning for Anomaly Detection under Domain Shift: An Additive Manufacturing Case Study Workshops Akram Zarchini , Denis Dowling , Fatemeh Golpayegani University College Dublin
	09:50 20m Paper		Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning Workshops Davide Domini Alma Mater Studiorum - Università di Bologna, Gianluca Aguzzi Alma Mater Studiorum - Università di Bologna, Ivana Dusparic Trinity College Dublin, Ireland, Danilo Pianini University of Bologna, Mirko Viroli Alma Mater Studiorum - Università di Bologna
	10:10 20m Paper		3NLM: A Normative Logic Framework for Expectation-Driven Self-Adaptive Explanations Workshops Zahra Atf Ontario Tech University, Nathan Lloyd Ontario Tech University, Peter Lewis Ontario Tech University
	10:30 20m Paper		S3Eval: A Three-Layer Pipeline for Automated Evaluation of PDDL-Encoded Attack Paths Workshops Lin Cui , Vincenzo Scotti Karlsruhe Institute of Technology (KIT), Raffaela Mirandola Karlsruhe Institute of Technology (KIT)