Niclas Ståhl

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Aerial Photographs

Convolutional Neural Networks

Top Venues

J. Chem. Inf. Model.

Publications

Niclas Ståhl, Lisa Weimann
Identifying wetland areas in historical maps using deep convolutional neural networks. Ecol. Informatics 68 (2022)
Ulf Johansson, Tuwe Löfström, Niclas Ståhl
Well-Calibrated Rule Extractors. COPA (2022)
Niclas Ståhl, Gunnar Mathiason, Juhee Bae
Utilising Data from Multiple Production Lines for Predictive Deep Learning Models. DCAI (1) (2021)
Niclas Ståhl, Gunnar Mathiason, Dellainey Alcacoas
Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data. SN Comput. Sci. 2 (2) (2021)
Niclas Ståhl, Lisa Weimann
Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks. CoRR (2021)
Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason
Evaluation of Uncertainty Quantification in Deep Learning. IPMU (1) (2020)
Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. J. Integr. Bioinform. 16 (1) (2019)
Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. J. Chem. Inf. Model. 59 (7) (2019)
Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. PACBB (2018)
Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson
A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. IPMU (3) (2018)