Dr. Ervin Sejdic Profile

Dr. Ervin Sejdic

at Univ of Toronto

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 12 April 2021 Presentation + Paper

Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems

Yassin Khalifa, Justin Hawks, Ervin Sejdić

Proceedings Volume 11730, 117300O (2021) https://doi.org/10.1117/12.2588610

KEYWORDS: Neural networks, Binary data, Neurons, Visualization, Neuroscience, Artificial neural networks

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Proceedings Article | 12 April 2021 Presentation + Paper

On the robustness of high-resolution cervical auscultation-based detection of upper esophageal sphincter opening duration in diverse populations

Yassin Khalifa, Cara Donohue, James Coyle, Ervin Sejdić

Proceedings Volume 11730, 117300M (2021) https://doi.org/10.1117/12.2588591

KEYWORDS: Signal detection, Neural networks, Network architectures, Neck, Imaging systems, Sensors, Sensor technology, Physiology, Machine learning, Ionizing radiation

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Proceedings Article | 13 May 2019 Presentation + Paper

Clutter Identification based on sparse recovery with dynamically changing dictionary sizes for cognitive radar

Yuansheng Zhu, Yijian Xiang, Satyabrata Sen, Ervin Sejdic, Arye Nehorai, Murat Akcakaya

Proceedings Volume 10989, 109890L (2019) https://doi.org/10.1117/12.2520154

KEYWORDS: Associative arrays, Radar, Distance measurement, Statistical analysis, Palladium, Target detection, Monte Carlo methods, Detection and tracking algorithms, Algorithm development, Data modeling

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Proceedings Article | 5 May 2017 Presentation + Paper

Artifact detection in electrodermal activity using sparse recovery

Malia Kelsey, Richard Vincent Palumbo, Alberto Urbaneja, Murat Akcakaya, Jeannie Huang, Ian Kleckner, Lisa Feldman Barrett, Karen Quigley, Ervin Sejdic, Matthew Goodwin

Proceedings Volume 10211, 102110D (2017) https://doi.org/10.1117/12.2264027

KEYWORDS: Associative arrays, Chemical species, Linear filtering, Optimal filtering, Optical inspection, Electronic filtering, Electronic design automation, Nervous system, Signal detection, Psychophysiology, Biosensing, Temperature metrology, Skin, Signal processing

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Proceedings Article | 4 May 2016 Paper

The effects of compressive sensing on extracted features from tri-axial swallowing accelerometry signals

Ervin Sejdić, Faezeh Movahedi, Zhenwei Zhang, Atsuko Kurosu, James Coyle

Proceedings Volume 9857, 985704 (2016) https://doi.org/10.1117/12.2225466

KEYWORDS: Compressed sensing, Modulation, Feature extraction, Time-frequency analysis, Statistical analysis, Video, Associative arrays, Image segmentation, Reliability, Wavelets

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Proceedings Article | 14 May 2015 Paper

An analysis of spectral transformation techniques on graphs

Igor Djurović, Ervin Sejdić, Nikola Bulatović, Marko Simeunović

Proceedings Volume 9484, 94840G (2015) https://doi.org/10.1117/12.2177188

KEYWORDS: Filtering (signal processing), Signal processing, Electronic filtering, Fourier transforms, Compressed sensing, Optical filters, Digital filtering, Data processing, Matrices, Nonlinear filtering

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Proceedings Article | 23 May 2014 Paper

Asynchronous signal-dependent non-uniform sampler

Azime Can-Cimino, Luis Chaparro, Ervin Sejdić

Proceedings Volume 9109, 910907 (2014) https://doi.org/10.1117/12.2050568

KEYWORDS: Signal processing, Analog electronics, Modulation, Modulators, Quantization, Reconstruction algorithms, Statistical analysis, Electroencephalography, Error analysis, Biomedical optics

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Proceedings Article | 23 May 2014 Paper

Understanding differences between healthy swallows and penetration-aspiration swallows via compressive sensing of tri-axial swallowing accelerometry signals

Ervin Sejdić, Joshua Dudik, Atsuko Kurosu, Iva Jestrović, James Coyle

Proceedings Volume 9109, 91090M (2014) https://doi.org/10.1117/12.2050356

KEYWORDS: Compressed sensing, Time-frequency analysis, Associative arrays, Modulation, Diode pumped solid state lasers, Video, Biomedical optics, Liquids, Head, Sensors

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Showing 5 of 8 publications

Conference Committee Involvement (10)

Big Data VI: Learning, Analytics, and Applications

22 April 2024 | National Harbor, Maryland, United States

Big Data V: Learning, Analytics, and Applications

1 May 2023 | Orlando, Florida, United States

Big Data IV: Learning, Analytics, and Applications

3 April 2022 | Orlando, Florida, United States

Big Data III: Learning, Analytics, and Applications

12 April 2021 | Online Only, Florida, United States

Big Data II: Learning, Analytics, and Applications

27 April 2020 | Online Only, California, United States

Showing 5 of 10 Conference Committees

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