Novruz Mammadli, M.Sc.

Kontakt +49 441 99833 7435 (Oldenburg)

Adresse (Oldenburg)

Publikationen

Multi-species Mixing for Weakly Supervised SED Under Domain Shift
Novruz Mammadli; Thiago Gouvea; Daniel Sonntag
In: Diedrich Wolter; Gesina Schwalbe (Hrsg.). KI 2026: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2026), 49th German Conference on Artificial Intelligence, August 11-14, Bremen, Germany, Pages 269-276, Lecture Notes in Computer Science (LNCS), Vol. 16830, ISBN 978-3-032-32335-4, Springer Nature Switzerland, Cham, 2027.
Making Weak Supervision Interactive: Exploring Transfer from Sound Libraries to Passive Acoustic Monitoring Data
Novruz Mammadli; Rida Saghir; Kanwar Ammar Ali; Prathmesh Prakash Doddanawar; Thiago Gouvea; Daniel Sonntag
In: Proceedings of the 35th International Joint Conference on Artificial Intelligence (IJCAI 2026) Demonstrations Track. International Joint Conference on Artificial Intelligence (IJCAI-2026), located at IJCAI-ECAI 2026, August 15-21, Bremen, Germany, IJCAI Organization, 2026.