CFP
CFP: BNAIC/BeNeLearn 2024
A call for papers has been announced for the upcoming BNAIC/BeNeLearn 2024 conference, the reference conference on Artificial Intelligence (AI) and Machine Learning (ML) for the Netherlands, Belgium and Luxembourg. This year’s combined 36th BNAIC and 33rd BeNeLearn conference will be held from 18-20 November 2024 in Utrecht (Jaarbeurs).
The organizers invite researchers to submit their unpublished original research in all areas of AI and ML. They especially encourage submissions on interdisciplinary topics. High-quality research already published in international AI-related conferences or journals is also welcome for presentation and will be published as extended abstracts.
Submission Categories
- Type A: Regular Papers – Original research, position, and review papers (up to 14 pages).
- Type B: Encore Abstracts – Abstracts of recently published work (up to 2 pages).
- Type C: Demonstration Abstracts – Proposals for demos with a short video (up to 2 pages).
- Type D: Student Oral and Poster Abstracts – Research by Bachelor and Master students (up to 2 pages).
- Type E: Late Breaking Poster Abstracts – Ongoing research (up to 2 pages).
Important Dates
- Abstract Submission (Type A): 23 August 2024
- Paper Submission (All Types except Type E): 30 August 2024
- Bachelor/Master Thesis Fellowship Application: 30 August 2024
- Author Notifications: 4 October 2024
- Late Breaking Poster Submission (Type E): 8 October 2024
- Camera Ready Submission: 25 October 2024
Accepted contributions will be included in the non-archival conference pre-proceedings. Selected Type A papers will be invited to submit to the post-proceedings in the Springer CCIS series.
For more details on submission guidelines and topics of interest, please visit the conference website at BNAIC/BeNeLearn 2024.
BNAIC/BeNeLearn 2024 is hosted by Utrecht University under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and in cooperation with the Netherlands Research School for Information and Knowledge Systems (SIKS).