Approximate Multipliers Based on Inexact Adders for Energy Efficient Data Processing. - Mario Osta; Ali Ibrahim; Hussein Chible; Maurizio Valle (NGCAS, 2017)

Approximate Computing Methods for Embedded Machine Learning. - Ali Ibrahim; Mario Osta; Mohamad Alameh; Moustafa Saleh; Hussein Chible; Maurizio Valle (ICECS, 2018)

Inexact Arithmetic Circuits for Energy Efficient IoT Sensors Data Processing. - Mario Osta; Ali Ibrahim; Hussein Chible; Maurizio Valle (ISCAS, 2018)

Low Power Approximate Multipliers for Energy Efficient Data Processing. - Mario Osta; Ali Ibrahim; Lucia Seminara; Hussein Chible; Maurizio Valle (J. Low Power Electron., 2018)

Energy Efficient Implementation of Machine Learning Algorithms on Hardware Platforms. - Mario Osta; Mohamad Alameh; Hamoud Younes; Ali Ibrahim; Maurizio Valle (ICECS, 2019)

FPGA Implementation of Approximate CORDIC Circuits for Energy Efficient Applications. - Mario Osta; Ali Ibrahim; Maurizio Valle (ICECS, 2019)

An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications. - Mario Osta; Ali Ibrahim; Michele Magno; Manuel Eggimann; Antonio Pullini; Paolo Gastaldo; Maurizio Valle (ISCAS, 2019)

Energy-efficient embedded machine learning algorithms for smart sensing systems. - Mario Osta (2020)