Adam Page

According to our database1, Adam Page authored at least 13 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications.
IEEE Trans. Very Large Scale Integr. Syst., 2018

SCALENet: A SCalable Low power AccELerator for Real-time Embedded Deep Neural Networks.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

SPARCNet: A Hardware Accelerator for Efficient Deployment of Sparse Convolutional Networks.
ACM J. Emerg. Technol. Comput. Syst., 2017

Wearable seizure detection using convolutional neural networks with transfer learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Low-Power Manycore Accelerator for Personalized Biomedical Applications.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

FPGA-Based Reduction Techniques for Efficient Deep Neural Network Deployment.
Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection.
IEEE Trans. Circuits Syst. II Express Briefs, 2015

An ultra low power feature extraction and classification system for wearable seizure detection.
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.
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.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods.
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.
Proceedings of the 2014 AAAI Spring Symposia, 2014

An efficient & reconfigurable FPGA and ASIC implementation of a spectral Doppler ultrasound imaging system.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013