9 citations · 11 across the 3 of their papers we have counts for
3 papers
q-bio.GN2023★ 2 cited
Using Guided Transfer Learning to Predispose AI Agent to Learn Efficiently from Small RNA-sequencing Datasets
Kevin Li, Danko Nikolić, Vjekoslav Nikolić +3
Given the increasing availability of RNA-seq data and its complex and heterogeneous nature, there has been growing interest in applying AI/machine learning methodologies to work wi…
cond-mat.supr-con2020★ 9 cited
Electron cooling by phonons in superconducting proximity structures
Danilo Nikolić, Denis M. Basko, Wolfgang Belzig
We investigate the electron-phonon cooling power in disordered electronic systems with a special focus on mesoscopic superconducting proximity structures. Employing the quasiclassi…
q-bio.NC2015
Only T3-AI can reach human-level intelligence: A variety argument
Danko Nikolić
The recently introduced theory of practopoiesis offers an account on how adaptive intelligent systems are organized. According to that theory biological agents adapt at three level…