Browsing by author "Lugnan, Alessio"
Now showing items 1-19 of 19
-
Improving the Classification Accuracy in Label-Free Flow Cytometry Using Event-Based Vision and Simple Logistic Regression
Gouda, Muhammed; Lugnan, Alessio; Dambre, Joni; van den Branden, Gerd; Posch, Christoph; Bienstman, Peter (2023) -
Integrated dielectric scatterers for fast optical classification of biological cells
Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2018) -
Integrated dielectric scatterers for speeding up classification of cell diffraction patterns
Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2018) -
Integrated photonic pillar scatterers for speeding up classification of cell holograms
Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017) -
Integrated pillar scatterers for speeding up classification of cell holograms
Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017-11) -
Integrated-photonics implementation of reservoir computing neural networks
Katumba, Andrew; Laporte, Floris; Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017-09) -
Machine learning issues and opportunities in ultrafast particle classiication for label-free microflow cymetry
Lugnan, Alessio; Gooskens, Emmanuel; Vatin, Jeremy; Dambre, Joni; Bienstman, Peter (2020-11) -
Neuromorphic computing based on silicon photonics and reservoir computing
Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Dambre, Joni; Bienstman, Peter (2018-11) -
Neuromorphic information processing using silicon photonics
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai (2019) -
Non-linear signal equalisation using silicon photonic reservoir computing
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Gooskens, Emmanuel (2019) -
Novel photonic reservoir computing architectures
Laporte, Floris; Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017-10) -
Photonic neuromorphic information processing and reservoir computing
Lugnan, Alessio; Katumba, Andrew; Laporte, Floris; Freiberger, Matthias; Sackesyn, Stijn; Ma, Chonghuai; Gooskens, Emmanuel; Dambre, Joni; Bienstman, Peter (2020-02) -
Photonic Reservoir Computing
Laporte, Floris; Katumba, Andrew; Freiberger, Matthias; Ma, Chonghuai; Sackesyn, Stijn; Gooskens, Emmanuel; Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2020) -
Photonic reservoir computing: a brain-inspired approach for information processing
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio (2018) -
Photonics-Based Machine Learning to Speed up and Simplify Label-Free Flow Cytometry
Lugnan, Alessio (2021-09-07) -
Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node
Lugnan, Alessio; Carrillo, Santiago Garcia-Cuevas; Wright, C. David; Bienstman, Peter (2022) -
Silicon photonics for neuromorphic information processing
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio (2018) -
Silicon photonics reservoir computing at 32 Gbit/s
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Gooskens, Emmanuel (2019) -
System-Level Simulation for Integrated Phase-Change Photonics
Carrillo, Santiago Garcia-Cuevas; Lugnan, Alessio; Gemo, Emanuele; Bienstman, Peter; Pernice, Wolfram H. P.; Bhaskaran, Harish; Wright, C. David (2021)