Publications

Akshay Akshay, Masoud Abedi, Navid Shekarchizadeh, Fiona C Burkhard, Mitali Katoch, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, und Ali Hashemi Gheinani. MLcps: machine learning cumulative performance score for classification problems. GigaScience, (12):giad108, Dezember 2023. [PUMA: MLcps cumulative learning machine performance yaff xack] URL

Lucas Lange, Maurice-Maximilian Heykeroth, und Erhard Rahm. Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. arXiv preprint arXiv:2409.01329, arXiv, September 2024. [PUMA: (cs.CR) (cs.CV) (cs.LG) Computer Cryptography FOS Pattern Recognition Security Vision area_bigdata area_responsibleai ep information learning machine sciences xack yaff]

Akshay Akshay, Mitali Katoch, Navid Shekarchizadeh, Masoud Abedi, Ankush Sharma, Fiona C Burkhard, Rosalyn M Adam, Katia Monastyrskaya, und Ali Hashemi Gheinani. Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis. Gigascience, (13)Januar 2024. [PUMA: AutoML analysis classification data learning machine problems topic_federatedlearn visualization xack yaff]

Akshay Akshay, Masoud Abedi, Navid Shekarchizadeh, Fiona C Burkhard, Mitali Katoch, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, und Ali Hashemi Gheinani. MLcps: machine learning cumulative performance score for classification problems. Gigascience, (12)Dezember 2022. [PUMA: Python classification evaluation learning machine model package problems score topic_federatedlearn unified xack yaff]

Alina Mailach, und Norbert Siegmund. Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront. 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 690--702, IEEE, Mai 2023. [PUMA: Biological Economics Manuals Pipelines Production Software learning modeling system systems topic_software xack yaff machine]