CAMIL is a center of excellence in Artificial Intelligence and Machine Learning, gathering researchers and practitioners with comprehensive experience, ranging from knowledge discovery to semantic web to computer vision. CAMIL members have made internationally recognized contributions in fundamental research in AI and ML, and applied their expertise in numerous practical contexts, including medicine, biology, finance, and industry. CAMIL’s Mission is to draw together the competences of its members and serve as a hub for channeling their combined activities.

CAMIL members participated in the following


Automatic Ligand Recognition
Applications / Structural Biology
Priority Attachment
Social Networks
Probabilistic Classifier Chains
Multilabel classification / Theory
Measure Visualizations
Theory / Visualization
Big Data Semantics
Big Data
Retinal Blood Vessel Segmentation
Applications / Medical Imaging

In Numbers

Publications with >5 Citations
Avg. Citations per Paper

News & Events

A NIPS paper of the CAMIL members!

A paper on extreme classification by Marek Wydmuch, Kalina Jasinska, Michail Kuznetsov, Robert Busa-Fekete, and Krzysztof Dembczyński has been accepted for NIPS 2018. The arxiv version of the paper can …