Muhammad Farhan

Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening

Pekka Ruusuvuori, Pauli Rämö, Olli Yli-Harja, 2013, Electronic Imaging.

Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification

Imdadullah Khan, Muhammad Farhan, Mudassir Shabbir, 2017, NIPS.

Bioprocess data mining using regularized regression and random forests

Heikki Huttunen, Muhammad Farhan, Tommi Aho, 2013, BMC Systems Biology.

Multi-scale Gaussian representation and outline-learning based cell image segmentation

Pekka Ruusuvuori, Pauli Rämö, Olli Yli-Harja, 2013, BMC Bioinformatics.

Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification

Arif Zaman, Imdadullah Khan, Mudassir Shabbir, 2017, NIPS.

𝒩-WL: A New Hierarchy of Expressivity for Graph Neural Networks

Shouheng Li, Dillon Chen, Asiri Wijesinghe, 2023, ICLR.

A novel method for splitting clumps of convex objects incorporating image intensity and using rectangular window-based concavity point-pair search

Olli Yli-Harja, Muhammad Farhan, Antti Niemistö, 2013, Pattern Recognit..

Modeling bioprocess scale-up utilizing regularized linear and logistic regression

Olli Yli-Harja, Antti Larjo, Tommi Aho, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).