Urban area and building detection on high resolution multispectral satellite images using spatial statistics. - Yavuz Sahin; Mustafa Teke 001; Ahmet Erdem; H. Sebnem Düzgün (SIU, 2012)

Multi-robot Localization by Observation Merging. - Ahmet Erdem; H. Levent Akin (RoboCup, 2014)

Design of a Commercial Hybrid VTOL UAV System. - Ugur Ozdemir; Yucel Orkut Aktas; Aslihan Vuruskan; Yasin Dereli; Ahmed Farabi Tarhan; Karaca Demirbag; Ahmet Erdem; Ganime Duygu Kalaycioglu; Ibrahim Özkol; Gökhan Inalhan (J. Intell. Robotic Syst., 2014)

Semi-supervised gas detection in hyperspectral imaging. - Safak Ozturk; Yusuf Artan; Yunus Emre Esin; Mustafa Yaman; Ahmet Erdem (IGARSS, 2015)

Automatic Pruning of Autotuning Parameter Space for OpenCL Applications. - Ahmet Erdem; Gianluca Palermo; Cristina Silvano (RES4ANT@DATE, 2016)

Design Space Exploration for Orlando Ultra Low-Power Convolutional Neural Network SoC. - Ahmet Erdem; Cristina Silvano; Thomas Boesch; Andrea C. Ornstein; Surinder Pal Singh; Giuseppe Desoli (ASAP, 2018)

Design Space Pruning and Computational Workload Splitting for Autotuning OpenCL Applications. - Ahmet Erdem; Davide Gadioli; Gianluca Palermo; Cristina Silvano (RAPIDO, 2018)

Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC. - Lorenzo Cunial; Ahmet Erdem; Cristina Silvano; Mirko Falchetto; Andrea C. Ornstein; Emanuele Plebani; Giuseppe Desoli; Danilo Pau (RTSI, 2018)

Blockchain Blockchain for Ensuring Security Security , Privacy Privacy , and Trust Trust in IoT IoT Environments: The State of the Art. - Ahmet Erdem; Sevgi Özkan Yildirim; Pelin Angin (Security, Privacy and Trust in the IoT Environment, 2019)

A Tile-based Fused-Layer Approach to Accelerate DCNNs on Low-Density FPGAs. - Ahmet Erdem; Danijela Babic; Cristina Silvano (ICECS, 2019)

A Tile-based Fused-layer CNN Accelerator for FPGAs. - Fabrizio Indirli; Ahmet Erdem; Cristina Silvano (ICECS, 2020)

GPU Accelerated Feature Engineering and Training for Recommender Systems. - Benedikt Schifferer; Gilberto Titericz; Chris Deotte; Christof Henkel; Kazuki Onodera; Jiwei Liu; Bojan Tunguz; Even Oldridge; Gabriel de Souza Pereira Moreira; Ahmet Erdem (RecSys Challenge, 2020)

Runtime Design Space Exploration and Mapping of DCNNs for the Ultra-Low-Power Orlando SoC. - Ahmet Erdem; Cristina Silvano; Thomas Boesch; Andrea C. Ornstein; Surinder Pal Singh; Giuseppe Desoli (ACM Trans. Archit. Code Optim., 2020)

Exploration and mapping of deep neural networks to low-power hardware accelerators and FPGAs. - Ahmet Erdem (2020)

Winning Amazon KDD Cup'24. - Chris Deotte; Ivan Sorokin; Ahmet Erdem; Benedikt Schifferer; Gilberto Titericz; Simon Jégou (CoRR, 2024)