Best Paper Award

Dear Colleagues, 

We are pleased to announce the winner of the 2023 Algorithms Best Paper Award. All papers published from 1 January 2022 to 31 December 2022 in Algorithms were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, one winner was selected.

Reducing the False Negative Rate in Deep Learning Based Network Intrusion Detection Systems
By Jovana Mijalkovic and Angelo Spognardi
Algorithms 2022, 15(8), 258; doi:10.3390/a15080258 

The winner will receive CHF 500 and a chance to publish a paper free of charge in Algorithms in 2023 after peer review. 

Please join us in congratulating the winner of the 2023 Algorithms Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Algorithms.

Kind regards,
Algorithms Editorial Office

 
Algorithms 2023 Best Paper Award
 

Eligibility and Requirements

– All papers published in Algorithms will be eligible (Both regular and Special Issue submissions).
 
Past Winners
 
Year: 

Winner

Angelo Spognardi
Department of Computer Science, Sapienza University, 00198 Rome, Italy

Winner

Christian Blum
Artificial Intelligence Research Institute (IIIA-CSIC), Campus of the UAB, 08193 Bellaterra, Spain

Award Committee

Prof. Frank Werner Chairman
Otto-von-Guericke University Magdeburg

Winner

Stuart Hadfield
Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, Moffett Field, CA 94035, USA USRA Research Institute for Advanced Computer Science (RIACS), Mountain View, CA 94043, USA Department of Computer Science, Columbia University,

Award Committee

Prof. Frank Werner Chairman
Otto-von-Guericke University Magdeburg

Winner

Theodore Huppert
Departments of Radiology and Bioengineering, University of Pittsburgh, Clinical Science Translational Institute, and Center for the Neural Basis of Cognition, Pittsburgh, PA 15213-2536, USA paper link: https://www.mdpi.com/1999-4893/11/5/73
Alessio Gagliardi
Department of Electrical and Computer Engineering, Technical University of Munich, Theresienstraße 90, 80333 Munich, Germany paper link: https://www.mdpi.com/1999-4893/11/4/37
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