27 citations · 56 across the 6 of their papers we have counts for
8 papers
A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction
Jakob Nolte, Maureen M. J. Guichelaar, Donald E. Bouman +2
Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic conditions like hepatocellular carcinoma (HCC), where early detection can significantl…
Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions (preprint)
Marc P Hauer, Johannes Kevekordes, Maryam Amir Haeri
With the increasing use of AI in algorithmic decision making (e.g. based on neural networks), the question arises how bias can be excluded or mitigated. There are some promising ap…
Adaptive Explicit Kernel Minkowski Weighted K-means
Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh
The K-means algorithm is among the most commonly used data clustering methods. However, the regular K-means can only be applied in the input space and it is applicable when cluster…
Multi-Label Classification Using Link Prediction
Seyed Amin Fadaee, Maryam Amir Haeri
Solving classification with graph methods has gained huge popularity in recent years. This is due to the fact that the data can be intuitively modeled with graphs to utilize high l…
SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets
Sayyed Ahmad Naghavi Nozad, Maryam Amir Haeri, Gianluigi Folino
This paper presents a batch-wise density-based clustering approach for local outlier detection in massive-scale datasets. Unlike the well-known traditional algorithms, which assume…
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
Radin Hamidi Rad, Maryam Amir Haeri
Nowadays with a growing number of online controlling systems in the organization and also a high demand of monitoring and stats facilities that uses data streams to log and control…