Search Results for author: Ivan Kitanovski

Found 4 papers, 2 papers with code

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

2 code implementations14 Jul 2022 Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski

We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).

Classification Multi-Label Classification +3

AiTLAS: Artificial Intelligence Toolbox for Earth Observation

1 code implementation21 Jan 2022 Ivica Dimitrovski, Ivan Kitanovski, Panče Panov, Nikola Simidjievski, Dragi Kocev

The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready Earth Observation (EO) datasets.

Benchmarking Semantic Segmentation +1

FairSearch: A Tool For Fairness in Ranked Search Results

no code implementations27 May 2019 Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski

We implement two algorithms from the fair ranking literature, namely FA*IR (Zehlike et al., 2017) and DELTR (Zehlike and Castillo, 2018) and provide them as stand-alone libraries in Python and Java.

Fairness

Cannot find the paper you are looking for? You can Submit a new open access paper.