Fabi Prezja

According to our database, Fabi Prezja authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Fast Machine Learning Utils: A Python Library for Streamlined Machine Learning Prototyping.

Fabi Prezja

CoRR, 2024

Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School.

Maria Psyridou, Fabi Prezja, Minna Torppa, Marja-Kristiina Lerkkanen, Anna-Maija Poikkeus, Kati Vasalampi

CoRR, 2024

Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis.

Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Timo Ojala

Algorithms, 2024

2023

Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision Prototyping.

Fabi Prezja

CoRR, 2023

Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification.

Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala

CoRR, 2023

Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks.

Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala

CoRR, 2023

Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning.

Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala, Pekka Ruusuvuori, Teijo Kuopio

CoRR, 2023