John C Cancilla
John C Cancilla
Allele Biotechnology
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Artificial sensing intelligence with silicon nanowires for ultraselective detection in the gas phase
B Wang, JC Cancilla, JS Torrecilla, H Haick
Nano letters 14 (2), 933-938, 2014
Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath
N Shehada, JC Cancilla, JS Torrecilla, ES Pariente, G Brönstrup, ...
ACS nano 10 (7), 7047-7057, 2016
A highly sensitive diketopyrrolopyrrole-based ambipolar transistor for selective detection and discrimination of xylene isomers
B Wang, TP Huynh, W Wu, N Hayek, TT Do, J Cancilla, J Torrecilla, ...
Advanced Materials 28 (21), 4012-4018, 2016
Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values
P Díaz-Rodríguez, JC Cancilla, NV Plechkova, G Matute, KR Seddon, ...
Physical Chemistry Chemical Physics 16 (1), 128-134, 2014
Estimation with neural networks of the water content in imidazolium-based ionic liquids using their experimental density and viscosity values
JS Torrecilla, C Tortuero, JC Cancilla, P Díaz-Rodríguez
Talanta 113, 93-98, 2013
Exhaled breath markers for nonimaging and noninvasive measures for detection of multiple sclerosis
YY Broza, L Har-Shai, R Jeries, JC Cancilla, L Glass-Marmor, ...
ACS Chemical Neuroscience 8 (11), 2402-2413, 2017
Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils
JS Torrecilla, JC Cancilla, G Matute, P Díaz-Rodríguez, AI Flores
Journal of Food Engineering 118 (4), 400-405, 2013
Linking chemical parameters to sensory panel results through neural networks to distinguish olive oil quality
JC Cancilla, SC Wang, P Díaz-Rodríguez, G Matute, JD Cancilla, D Flynn, ...
Journal of agricultural and food chemistry 62 (44), 10661-10665, 2014
Cancerous glucose metabolism in lung cancer—evidence from exhaled breath analysis
T Feinberg, L Alkoby-Meshulam, J Herbig, JC Cancilla, JS Torrecilla, ...
Journal of Breath Research 10 (2), 026012, 2016
Profiles of volatile biomarkers detect tuberculosis from skin
R Vishinkin, R Busool, E Mansour, F Fish, A Esmail, P Kumar, A Gharaa, ...
Advanced Science 8 (15), 2100235, 2021
Deep transfer learning to verify quality and safety of ground coffee
S Pradana-López, AM Pérez-Calabuig, JC Cancilla, MÁ Lozano, ...
Food Control 122, 107801, 2021
Cancer metabolism: The volatile signature of glycolysis—In vitro model in lung cancer cells
T Feinberg, J Herbig, I Kohl, G Las, JC Cancilla, JS Torrecilla, M Ilouze, ...
Journal of breath research 11 (1), 016008, 2017
Machine learning and feature selection applied to SEER data to reliably assess thyroid cancer prognosis
M Mourad, S Moubayed, A Dezube, Y Mourad, K Park, ...
Scientific reports 10 (1), 5176, 2020
Linear and non-linear modeling to identify vinegars in blends through spectroscopic data
JS Torrecilla, R Aroca-Santos, JC Cancilla, G Matute
LWT-Food Science and Technology 65, 565-571, 2016
Visible imaging to convolutionally discern and authenticate varieties of rice and their derived flours
M Izquierdo, M Lastra-Mejías, E González-Flores, S Pradana-López, ...
Food Control 110, 106971, 2020
Artificial neural networks applied to fluorescence studies for accurate determination of N-butylpyridinium chloride concentration in aqueous solution
JC Cancilla, P Diaz-Rodriguez, JG Izquierdo, L Banares, JS Torrecilla
Sensors and Actuators B: Chemical 198, 173-179, 2014
Neural networks applied to characterize blends containing refined and extra virgin olive oils
R Aroca-Santos, JC Cancilla, ES Pariente, JS Torrecilla
Talanta 161, 304-308, 2016
Identifying and quantifying adulterants in extra virgin olive oil of the picual varietal by absorption spectroscopy and nonlinear modeling
R Aroca-Santos, JC Cancilla, G Matute, JS Torrecilla
Journal of agricultural and food chemistry 63 (23), 5646-5652, 2015
Convolutional decoding of thermographic images to locate and quantify honey adulterations
M Izquierdo, M Lastra-Mejías, E González-Flores, JC Cancilla, M Perez, ...
Talanta 209, 120500, 2020
Neural network models to classify olive oils within the protected denomination of origin framework
JS Torrecilla, JC Cancilla, G Matute, P Díaz‐Rodríguez
International journal of food science & technology 48 (12), 2528-2534, 2013
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