Mengfei Ji, Zaid Al-Ars, Yuchun Chang, Baolin Zhang (2024), Fully Pipelined FPGA Acceleration of Binary Convolutional Neural Networks with Neural Architecture Search, In Journal of Circuits, Systems and Computers Volume 33.

Casper Cromjongh, Yongding Tian, H. Peter Hofstee, Zaid Al-Ars (2024), Hardware-Accelerator Design by Composition: Dataflow Component Interfaces with Tydi-Chisel, In IEEE Transactions on Very Large Scale Integration (VLSI) Systems Volume 32 p.2281-2292.

Christiaan Boerkamp, Steven van der Vlugt, Zaid Al-Ars (2024), Tina: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators, In Proceedings of the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE.

T.O. Mokveld, Z. Al-Ars, Erik A. Sistermans, M.J.T. Reinders (2023), A comprehensive performance analysis of sequence-based within-sample testing NIPT methods, In PLoS ONE Volume 18.

Matthijs A. Reukers, Yongding Tian, Zaid Al-Ars, Peter Hofstee, Matthijs Brobbel, Johan Peltenburg, Jeroen van Straten (2023), An Intermediate Representation for Composable Typed Streaming Dataflow Designs, In CEUR Workshop Proceedings.

Yongding Tian, Zhuoran Guo, Jiaxuan Zhang, Zaid Al-Ars (2023), DFL: High-Performance Blockchain-Based Federated Learning, In Distributed Ledger Technologies: Research and Practice Volume 2 p.1-25.

M. Ji, Z. Al-Ars, H.P. Hofstee, Yuchun Chang, Baolin Zhang (2023), FPQNet: Fully Pipelined and Quantized CNN for Ultra-Low Latency Image Classification on FPGAs Using OpenCAPI, In Electronics (Switzerland) Volume 12.

A.S. Hesam, Frank Pijpers, Fons Rademakers, Z. Al-Ars (2023), Large Scale Calibration of Agent-Based Models in Social Systems with Sensitive Data, 9th International Conference on Computational Social Science.

Vinicius Trentin, Chenxu Ma, Jorge Villagra, Zaid Al-Ars (2023), Learning-enabled multi-modal motion prediction in urban environments, In IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings, IEEE.