doi.bio/eirini_arvaniti

Eirini Arvaniti

Biography

Eirini Arvaniti is a researcher and PhD student at ETH Zurich, where she works on machine learning for the prediction and interpretation of disease phenotypes from diverse biomedical datasets. Arvaniti's PhD focuses on weakly-supervised learning approaches, aiming to obtain accurate predictions while reducing the need for expensive domain-expert annotations.

Career

Arvaniti has worked with various universities and institutions throughout her career. She is currently a Scientific Research Associate & Adjunct Professor at the Hellenic Open University, where she has been since 2020. She has also held teaching positions at the University of Cyprus, Hellenic Mediterranean University, University of Liverpool, and University of Hull.

Publications

Arvaniti has a number of publications, including:

• Masculinities in Post-millennial Popular Romance (Routledge, 2022)
• Emotionality: Heterosexual Love and Emotional Development in Popular Romance (Routledge, 2024)
• Intercultural Competence: Didactic Material, Practical Application & Training (Pannon Management Review, 2021)
• The tourism sector in Greece: a sociological perspective and review (Tourismos, 2020)

- Postmillennial Femininities in the Popular Romance Novel (Journal of Gender Studies, 2017)

Eirini Arvaniti

Biography

Eirini Arvaniti is a professor in the Department of Biology at ETH Zurich, the Swiss Federal Institute of Technology in Zurich, Switzerland. Her research interests include molecular biology and applied artificial intelligence.

Education

Arvaniti is a PhD student at ETH Zurich.

Publications

Arvaniti's publications include:

• Coupling weak and strong supervision for classification of prostate cancer histopathology images
• Markov Network Structure Learning via Ensemble-of-Forests Models
• Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning

- Similarities and Differences of Blood N-Glycoproteins in Five Solid Carcinomas at Localized Clinical Stage Analyzed by SWATH-MS

Eirini Arvaniti

Biography

Eirini Arvaniti is a professor in the Department of Biology at ETH Zurich (Swiss Federal Institute of Technology in Zurich). Her research interests include molecular biology and applied artificial intelligence.

Education

Arvaniti is currently a PhD student at ETH Zurich.

Publications

Arvaniti's publications include:

• Coupling weak and strong supervision for classification of prostate cancer histopathology images
• Markov Network Structure Learning via Ensemble-of-Forests Models
• Automated Gleason grading of prostate cancer tissue microarrays via deep learning
• Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series
• Similarities and Differences of Blood N-Glycoproteins in Five Solid Carcinomas at Localized Clinical Stage Analyzed by SWATH-MS