Master of Science

• Challenge@PoliTo by Firms - Seat as a suit. A.A. 2020/21, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso

Bachelor of Science

• Fondamenti di elettronica di potenza. A.A. 2019/20, INGEGNERIA ELETTRICA. Collaboratore del corso

• Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E. (2022)
  Development and Validation of an Algorithm for the Digitization of ECG Paper Images. In: SENSORS, vol. 22, pp. 1-15. ISSN 1424-8220
  Contributo su Rivista
• Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; ... (2022)
  External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients. In: JN. JOURNAL OF NEPHROLOGY. ISSN 1121-8428
  Contributo su Rivista
• Paviglianiti, Annunziata (2022)
  Neural Models in Biomedical Applications. relatore: PASERO, EROS GIAN ALESSANDRO; VALLAN, ALBERTO; , 34. XXXIV Ciclo, P.: 134
  Doctoral Thesis
• Cannata, Sergio; Paviglianiti, Annunziata; Pasero, Eros; Cirrincione, Giansalvo; ... (2022)
  Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images. In: IEEE ACCESS, vol. 10, pp. 119905-119913. ISSN 2169-3536
  Contributo su Rivista
• Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E. (2021)
  A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. In: COGNITIVE COMPUTATION. ISSN 1866-9956
  Contributo su Rivista
• Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Crosetto, Dario; Randazzo, ... (2021)
  A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients. In: JN. JOURNAL OF NEPHROLOGY. ISSN 1121-8428
  Contributo su Rivista
• Paviglianiti, A; Pasero, E (2020)
  VITAL-ECG : a de-bias algorithm embedded in a gender-immune device. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, Roma, 3-5 June 2020, pp. 314-318. ISBN: 978-1-7281-4892-2
  Contributo in Atti di Convegno (Proceeding)
• Paviglianiti, A.; Randazzo, V.; Pasero, E.; Vallan, A. (2020)
  Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG. In: 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020, hrv, 2020, pp. 1-5. ISBN: 978-1-7281-4460-3
  Contributo in Atti di Convegno (Proceeding)
• Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ... (2020)
  Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, United Kingdom, 19-24 July 2020, pp. 1-7. ISBN: 978-1-7281-6926-2
  Contributo in Atti di Convegno (Proceeding)
• Ieracitano, Cosimo; Paviglianiti, Annunziata; Mammone, Nadia; Versaci, Mario; Pasero, ... (2020)
  SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials. In: Progresses in Artificial Intelligence and Neural Systems / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, S.L., Springer, pp. 103-113. ISBN: 978-981-15-5093-5
  Contributo in Volume
• Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E. (2020)
  Double Channel Neural Non Invasive Blood Pressure Prediction. In: 16th International Conference on Intelligent Computing, ICIC 2020, ita, 2020, pp. 160-171. ISBN: 978-3-030-60798-2
  Contributo in Atti di Convegno (Proceeding)
• Ieracitano, Cosimo; Pantó, Fabiola; Mammone, Nadia; Paviglianiti, Annunziata; Frontera, ... (2020)
  Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach. In: Neural Approaches to Dynamics of Signal Exchanges / S.N., S.L., Springer Singapore, pp. 61-72. ISBN: 978-981-13-8950-4
  Contributo in Volume
• Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, Eros; ... (2020)
  Neural feature extraction for the analysis of Parkinsonian patient handwriting. In: Progresses in Artificial Intelligence and Neural Systems / Esposito A., Faundez-Zanuy M., Morabito F., Pasero E., S.L., Springer Singapore, pp. 243-253. ISBN: 978-981-15-5093-5
  Contributo in Volume