Torbjörn E. M. Nordling

According to our database, Torbjörn E. M. Nordling authored at least 20 papers between 2013 and 2025.

Collaborative distances:

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

2025

ChatGPT struggles to recognize reproducible science.

Jose Ramon Chang, Torbjörn E. M. Nordling

Knowl. Inf. Syst., August, 2025

3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images.

Esteban Román Catafau, Torbjörn E. M. Nordling

CoRR, July, 2025

Model compression using knowledge distillation with integrated gradients.

David E. Hernandez, Jose Ramon Chang, Torbjörn E. M. Nordling

CoRR, June, 2025

Skin feature point tracking using deep feature encodings.

Jose Ramon Chang, Torbjörn E. M. Nordling

Int. J. Mach. Learn. Cybern., April, 2025

Knowledge Distillation: Enhancing Neural Network Compression with Integrated Gradients.

David E. Hernandez, Jose Ramon Chang, Torbjörn E. M. Nordling

CoRR, March, 2025

2024

Ideal adaptive control in biological systems: an analysis of $\mathbb {P}$-invariance and dynamical compensation properties.

Akram Ashyani, Yu-Heng Wu, Huan-Wei Hsu, Torbjörn E. M. Nordling

BMC Bioinform., December, 2024

Age Prediction Using Resting-State Functional MRI.

Jose Ramon Chang, Zai-Fu Yao, Shulan Hsieh, Torbjörn E. M. Nordling

Neuroinformatics, April, 2024

Unsupervised Skin Feature Tracking with Deep Neural Networks.

Jose Ramon Chang, Torbjörn E. M. Nordling

CoRR, 2024

2023

ThermalProGAN: A sequence-based thermally stable protein generator trained using unpaired data.

Hui-Ling Huang, Chong-Heng Weng, Torbjörn E. M. Nordling, Yi-Fan Liou

J. Bioinform. Comput. Biol., February, 2023

A survey and classification of face alignment methods based on face models.

Jagmohan Meher, Héctor Allende-Cid, Torbjörn E. M. Nordling

CoRR, 2023

An analysis of ℙ-invariance and dynamical compensation properties from a control perspective.

Akram Ashyani, Yu-Heng Wu, Huan-Wei Hsu, Torbjörn E. M. Nordling

CoRR, 2023

Towards course of disease based epidemiological modelling: motivation and computational optimization.

Yu-Heng Wu, Torbjörn E. M. Nordling

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2019

A generalized framework for controlling FDR in gene regulatory network inference.

Daniel Morgan, Andreas Tjärnberg, Torbjörn E. M. Nordling, Erik L. L. Sonnhammer

Bioinform., 2019

2018

YHMI: a web tool to identify histone modifications and histone/chromatin regulators from a gene list in yeast.

Wei-Sheng Wu, Hao-Ping Tu, Yu-Han Chu, Torbjörn E. M. Nordling, Yan Yuan Tseng, Hung-Jiun Liaw

Database J. Biol. Databases Curation, 2018

HRPDviewer: human ribosome profiling data viewer.

Wei-Sheng Wu, Yu-Xuan Jiang, Jer-Wei Chang, Yu-Han Chu, Yi-Hao Chiu, Yi-Hong Tsao, Torbjörn E. M. Nordling, Yan Yuan Tseng, Joseph T. Tseng

Database J. Biol. Databases Curation, 2018

2017

LASSIM - A network inference toolbox for genome-wide mechanistic modeling.

Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R. Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn E. M. Nordling, Elin Nyman, Sylvie Schulze, Colm E. Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson

PLoS Comput. Biol., 2017

2015

Identification of Biomarkers and Signatures in Protein Data.

Torbjörn E. M. Nordling, Narendra Padhan, Sven Nelander, Lena Claesson-Welsh

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

Functional association networks as priors for gene regulatory network inference.

Matthew Studham, Andreas Tjärnberg, Torbjörn E. M. Nordling, Sven Nelander, Erik L. L. Sonnhammer

Bioinform., 2014

2013

Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments.

Torbjörn E. M. Nordling

PhD thesis, 2013

Optimal Sparsity Criteria for Network Inference.

Andreas Tjärnberg, Torbjörn E. M. Nordling, Matthew Studham, Erik L. L. Sonnhammer

J. Comput. Biol., 2013