Adam Page

According to our database, Adam Page authored at least 14 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications.

Adwaya Kulkarni, Adam Page, Nasrin Attaran, Ali Jafari, Maria Malik, Houman Homayoun, Tinoosh Mohsenin

IEEE Trans. Very Large Scale Integr. Syst., 2018

SCALENet: A SCalable Low power AccELerator for Real-time Embedded Deep Neural Networks.

Colin Shea, Adam Page, Tinoosh Mohsenin

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

2017

SPARCNet: A Hardware Accelerator for Efficient Deployment of Sparse Convolutional Networks.

Adam Page, Ali Jafari, Colin Shea, Tinoosh Mohsenin

ACM J. Emerg. Technol. Comput. Syst., 2017

2016

Wearable seizure detection using convolutional neural networks with transfer learning.

Adam Page, Colin Shea, Tinoosh Mohsenin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Low-Power Manycore Accelerator for Personalized Biomedical Applications.

Adam Page, Nasrin Attaran, Colin Shea, Houman Homayoun, Tinoosh Mohsenin

Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

FPGA-Based Reduction Techniques for Efficient Deep Neural Network Deployment.

Adam Page, Tinoosh Mohsenin

Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

2015

A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection.

Adam Page, Chris Sagedy, Emily Smith, Nasrin Attaran, Tim Oates, Tinoosh Mohsenin

IEEE Trans. Circuits Syst. II Express Briefs, 2015

An ultra low power feature extraction and classification system for wearable seizure detection.

Adam Page, Siddharth Pramod, Tim Oates, Tinoosh Mohsenin

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Utilizing deep neural nets for an embedded ECG-based biometric authentication system.

Adam Page, Amey M. Kulkarni, Tinoosh Mohsenin

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

A low power seizure detection processor based on direct use of compressively-sensed data and employing a deterministic random matrix.

Ali Jafari, Adam Page, Chris Sagedy, Emily Smith, Tinoosh Mohsenin

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

Live demonstration: Towards an ultra low power on-board processor for Tongue Drive System.

Ali Jafari, Nathanael Buswell, Adam Page, Tinoosh Mohsenin, Md. Nazmus Sahadat, Maysam Ghovanloo

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014

Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods.

Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection.

J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

An efficient & reconfigurable FPGA and ASIC implementation of a spectral Doppler ultrasound imaging system.

Adam Page, Tinoosh Mohsenin

Proceedings of the 24th International Conference on Application-Specific Systems, 2013