Nauman Ahmed, Koen Bertels, Zaid Al-Ars (2020), Efficient GPU Acceleration for Computing Maximal Exact Matches in Long DNA Reads, In ICBBB 2020 p.28-34, ACM.

Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Moller, Christos Strydis (2020), FlexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations, In IEEE Access Volume 8 p.121905-121919.

Nauma Ahmed, Tong Dong Qiu, Koen Bertels, Zaid Al-Ars (2020), GPU acceleration of Darwin read overlapper for de novo assembly of long DNA reads, In BMC Bioinformatics Volume 21 p.1-17.

Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee (2020), NASB: Neural Architecture Search for Binary Convolutional Neural Networks, In 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings p.1-8, IEEE.

Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee (2020), Optimizing performance of GATK workflows using Apache Arrow In-Memory data framework, In BMC Genomics Volume 21 p.1-14.

Lennart Noordsij, Steven Van Der Vlugt, Mohamed A. Bamakhrama, Zaid Al-Ars, Peter Lindstrom (2020), Parallelization of variable rate decompression through metadata, Masoud Daneshtalab, Leporati Francesco, Mikael Sjödin (Eds.), In Proceedings - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020 p.245-252, IEEE.

Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee (2020), ReAF: Reducing approximation of channels by reducing feature reuse within convolution, In IEEE Access Volume 8 p.169957-169965.

Zaid Al-Ars, Saiyi Wang, Hamid Mushtaq (2020), SparkRA: Enabling big data scalability for the GATK RNA-seq pipeline with apache spark, In Genes Volume 11.

Jan Harm L.F. Betting, Vincenzo Romano, Laurens W.J. Bosman, Zaid Al-Ars, Chris I. De Zeeuw, Christos Strydis (2020), Stairway to Abstraction: An Iterative Algorithm for Whisker Detection in Video Frames, In 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020, IEEE.

Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Möller, Christos Strydis (2020), Synthesis-Free, Flexible and Fast Hardware Library for Biophysically Plausible Neurosimulations, Stephen Neuendorffer, Lesley Shannon (Eds.), In FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Seaside, CA, USA, February 23-25, 2020 p.319, ACM.