Journals | Lecce UNIT

Giulia Della Rosa, Riccardo Di Corato, Sara Carpi, Beatrice Polini, Antonietta Taurino, Lorena Tedeschi, Paola Nieri, Rosaria Rinaldi, Alessandra Aloisi

2020-12-03

Biblio references: Volume: 10 Issue: 1 Pages: 1-15

Origin: Scientific reports

Comparison Between Deep Learning Models and Traditional Machine Learning Approaches for Facial Expression Recognition in Ageing Adults

Andrea Caroppo, Alessandro Leone, Pietro Siciliano

2020-10-01

Biblio references: Volume: 35 Issue: 5 Pages: 1127-1146

Origin: Journal of Computer Science and Technology

Comparison Between Deep Learning Models and Traditional Machine Learning Approaches for Facial Expression Recognition in Ageing Adults

Andrea Caroppo, Alessandro Leone, Pietro Siciliano

2020-10-01

Biblio references: Volume: 35 Issue: 5 Pages: 1127-1146

Origin: Journal of Computer Science and Technology

Rhodium as efficient additive for boosting acetone sensing by TiO2 nanocrystals. Beyond the classical view of noble metal additives

Mauro Epifani, Saulius Kaciulis, Alessio Mezzi, Ting Zhang, Jordi Arbiol, Pietro Siciliano, Anton Landström, Isabella Concina, Abderrahim Moumen, Elisabetta Comini, Chu Xiangfeng

2020-09-15

Biblio references: Volume: 319 Pages: 128338

Origin: Sensors and Actuators B: Chemical

Correlation functionals from the Møller-Plesset adiabatic connection: Accurate description of noncovalent interactions

Fabrication and embedded sensors characterization of a micromachined water-propellant vaporizing liquid microthruster

Synthesis and characterization of UV‐curable nanocellulose/ZnO/AlN acrylic flexible films: Thermal, dynamic mechanical and piezoelectric response

Deep transfer learning approaches for bleeding detection in endoscopy images

A 296 nJ Energy-per-Measurement Relaxation Oscillator-Based Analog Front-End for Chemiresistive Sensors

Nanoplasmonic Biosensing Approach for Endotoxin Detection in Pharmaceutical Field

Tailoring of silica-based nanoporous pod by spermidine multi-activity

Comparison Between Deep Learning Models and Traditional Machine Learning Approaches for Facial Expression Recognition in Ageing Adults

Comparison Between Deep Learning Models and Traditional Machine Learning Approaches for Facial Expression Recognition in Ageing Adults

Rhodium as efficient additive for boosting acetone sensing by TiO2 nanocrystals. Beyond the classical view of noble metal additives

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Scientific Productions

Unit in Italy

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