Fractional Dynamics Foster Deep Learning of COPD Stage Prediction von Yin, Chenzhong, Udrescu, Mihai, Gupta, Gaurav, Cheng, Mingxi, Lihu, Andrei, Udrescu, Lucretia, Bogdan, Paul, Mannino, David M., Mihaicuta, Stefan

Volltext

A review of ensemble methods for de novo motif discovery in ChIP-Seq data von Lihu, Andrei, Holban, Stefan

Volltext

A review of ensemble methods for de novo motif discovery in ChIP-Seq data von Lihu, Andrei, Holban, Ştefan

Volltext

Fractional Dynamics Foster Deep Learning of COPD Stage Prediction (Adv. Sci. 12/2023) von Yin, Chenzhong, Udrescu, Mihai, Gupta, Gaurav, Cheng, Mingxi, Lihu, Andrei, Udrescu, Lucretia, Bogdan, Paul, Mannino, David M., Mihaicuta, Stefan

Volltext

De novo Motif Prediction using the Fireworks Algorithm von Lihu, Andrei, Holban, Ștefan

Volltext

De Novo Motif Prediction Using the Fireworks Algorithm von Holban, Ștefan, Lihu, Andrei

Volltext

Particle Swarm Optimization with Disagreements von Lihu, Andrei, Holban, Ştefan

Volltext

Real-valued genetic algorithms with disagreements von Lihu, Andrei, Holban, Ştefan, Popescu, Oana-Andreea

Volltext

Particle Swarm Optimization with Disagreements on Stagnation von Lihu, Andrei, Holban, Ştefan, lihu, Oana-Andreea

Volltext

Fractional dynamics foster deep learning of COPD stage prediction von Yin, Chenzhong, Udrescu, Mihai, Gupta, Gaurav, Cheng, Mingxi, Lihu, Andrei, Udrescu, Lucretia, Bogdan, Paul, Mannino, David M, Mihaicuta, Stefan

Volltext bestellen

A Proof of Useful Work for Artificial Intelligence on the Blockchain von Lihu, Andrei, Du, Jincheng, Barjaktarevic, Igor, Gerzanics, Patrick, Harvilla, Mark

Volltext bestellen

Fractional dynamics foster deep learning of COPD stage prediction von Yin, Chenzhong, Udrescu, Mihai, Gupta, Gaurav, Cheng, Mingxi, Lihu, Andrei, Udrescu, Lucretia, Bogdan, Paul, Mannino, David M, Mihaicuta, Stefan

Volltext

A Proof of Useful Work for Artificial Intelligence on the Blockchain von Lihu, Andrei, Du, Jincheng, Barjaktarevic, Igor, Gerzanics, Patrick, Harvilla, Mark

Volltext

A study on the minimal number of particles for a simplified particle swarm optimization algorithm von Lihu, A, Holban, S

Volltext bestellen

Top five most promising algorithms in scheduling von Lihu, Andrei, Holban, Stefan

Volltext bestellen