Katharina Dost Teaching Supervision Te Whare Wānanga O Waitaha Last week, i successfully defended my phd thesis on "selection bias identification and mitigation with no ground truth information" at the machine learning group uoa school of computer. My current research is on using machine learning techniques to detect extreme climate events, namely using satellite data to detect cyanobacterial blooms in new zealand lakes.
Katharina Dost On Linkedin Phd Uoa Wickerlab Machinelearning 10 I obtained a phd in computer science from the university of auckland, focusing on robustness, fairness, and bias mitigation in machine learning. Expertise machine learning, cheminformatics, adversarial learning, bias, reliability 2019 – 2024. Last week, i successfully defended my phd thesis on "selection bias identification and mitigation with no ground truth information" at the machine learning group uoa school of computer. I am a lecturer in the school of mathematics and statistics. i obtained a phd in computer science from the university of auckland, specialising in robustness, fairness, and bias mitigation.
Phd Hood Uoa Hoods Browse Academic Regalia Purchase Graduation Last week, i successfully defended my phd thesis on "selection bias identification and mitigation with no ground truth information" at the machine learning group uoa school of computer. I am a lecturer in the school of mathematics and statistics. i obtained a phd in computer science from the university of auckland, specialising in robustness, fairness, and bias mitigation. Introducing katharina dost, phd in the school of computer science at the university of auckland, supervised by jörg wicker and patricia riddle. Exciting fully funded phd opportunity in auckland, supervised by katerina taskova and davide mercadante, the student will both be in our and davide's lab. In recent years, the integration of machine learning techniques into chemical reaction product prediction has opened new avenues for understanding and predicting the behaviour of chemical substances. Last week, i successfully defended my phd thesis on "selection bias identification and mitigation with no ground truth information" at the machine learning group uoa school of computer.
Katharina Dost Posted On Linkedin Introducing katharina dost, phd in the school of computer science at the university of auckland, supervised by jörg wicker and patricia riddle. Exciting fully funded phd opportunity in auckland, supervised by katerina taskova and davide mercadante, the student will both be in our and davide's lab. In recent years, the integration of machine learning techniques into chemical reaction product prediction has opened new avenues for understanding and predicting the behaviour of chemical substances. Last week, i successfully defended my phd thesis on "selection bias identification and mitigation with no ground truth information" at the machine learning group uoa school of computer.
Provisional Year Seminar Katharina Dost Identification And In recent years, the integration of machine learning techniques into chemical reaction product prediction has opened new avenues for understanding and predicting the behaviour of chemical substances. Last week, i successfully defended my phd thesis on "selection bias identification and mitigation with no ground truth information" at the machine learning group uoa school of computer.
Katharina Richter Phd Posted On Linkedin
Comments are closed.