60 citations · 77 across the 6 of their papers we have counts for
4 papers · 1 filter
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants
Peyman H. Kassani, Fred Lu, Yann Le Guen +1
Deep neural networks (DNN) have been used successfully in many scientific problems for their high prediction accuracy, but their application to genetic studies remains challenging…
k-Relevance Vectors: Considering Relevancy Beside Nearness
Sara Hosseinzadeh Kassani, Farhood Rismanchian, Peyman Hosseinzadeh Kassani
This study combines two different learning paradigms, k-nearest neighbor (k-NN) rule, as memory-based learning paradigm and relevance vector machines (RVM), as statistical learning…
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
The study of healthy brain development helps to better understand the brain transformation and brain connectivity patterns which happen during childhood to adulthood. This study pr…
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Seyed Esmaeel Najafi
The banking industry is very important for an economic cycle of each country and provides some quality of services for us. With the advancement in technology and rapidly increasing…