A survey of commonly used ensemble-based classification techniques
The combination of multiple classifiers, commonly referred to as a classifier ensemble, has
previously demonstrated the ability to improve classification accuracy in many application …
previously demonstrated the ability to improve classification accuracy in many application …
On transformative adaptive activation functions in neural networks for gene expression inference
V Kunc, J Kléma - Plos one, 2021 - journals.plos.org
Gene expression profiling was made more cost-effective by the NIH LINCS program that
profiles only∼ 1, 000 selected landmark genes and uses them to reconstruct the whole …
profiles only∼ 1, 000 selected landmark genes and uses them to reconstruct the whole …
[PDF][PDF] Multi-criteria optimisation of liquid cargo transport according to linguistic approach to the route selection task
The main aim of the paper is to present the possibility of use of the multi-criteria optimization
method Analytical Hierarchy Process (AHP) to liquid cargo transportation by sea. Finding the …
method Analytical Hierarchy Process (AHP) to liquid cargo transportation by sea. Finding the …
Combining entity matching techniques for detecting extremist behavior on discussion boards
Many extremist groups and terrorists use the Web for various purposes such as exchanging
and reinforcing their beliefs, making monitoring and analysis of discussion boards an …
and reinforcing their beliefs, making monitoring and analysis of discussion boards an …
The shortest path problem with uncertain information in transport networks
T Neumann - Challenge of Transport Telematics: 16th International …, 2016 - Springer
The purpose of this paper is to find a solution for route planning in a transport networks,
where the costs of tracks, factor of safety and travel time are ambiguous. This approach is …
where the costs of tracks, factor of safety and travel time are ambiguous. This approach is …
A fusion framework based on fuzzy integrals for passive-blind image tamper detection
The innate complexity and uncertainty in the domain of image forensics has made the
application of fusion technology an obligatory requirement. Fuzzy integrals, that provide a …
application of fusion technology an obligatory requirement. Fuzzy integrals, that provide a …
On effectively creating ensembles of classifiers: Studies on creation strategies, diversity and predicting with confidence
T Löfström - 2015 - diva-portal.org
An ensemble is a composite model, combining the predictions from several other models.
Ensembles are known to be more accurate than single models. Diversity has been identified …
Ensembles are known to be more accurate than single models. Diversity has been identified …
Deep inverse sensor models as priors for evidential occupancy map**
With the recent boost in autonomous driving, increased attention has been paid on radars as
an input for occupancy map**. Besides their many benefits, the inference of occupied …
an input for occupancy map**. Besides their many benefits, the inference of occupied …
Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making
A Karlsson - 2010 - diva-portal.org
High-level information fusion is a research field in which methods for achieving an overall
understanding of the current situation in an environment of interest are studied. The ultimate …
understanding of the current situation in an environment of interest are studied. The ultimate …
Vessels route planning problem with uncertain data
T Neumann - … : International Journal on Marine Navigation and …, 2016 - yadda.icm.edu.pl
The purpose of this paper is to find a solution for route planning in a maritime transport
networks, where the factor of safety and travel time are ambiguous. This approach is based …
networks, where the factor of safety and travel time are ambiguous. This approach is based …