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AURELIO
UNCINI
ING-IND/31
Corso MACHINE LEARNING 2022 Ingegneria delle Comunicazioni
Inizio: 23 Febbraio, 2022
Orario lezioni:
Mercoledì: 08:15 - 12:00
Giovedì: 08:15 - 12:00
Per essere inclusi nella mailing list e ottenere informazioni aggiuntive sul corso (modaltà di accesso, eventuale link a materiale didattico aggiuntivo, ecc),
Inviare un'email con indirizzo istituzionale (name.MATR@students. uniroma1.it) al Docente.
N.B. La posta non istituzionale può essere temporaneamente accettata solo con (anche breve) motivazione.
Per seguire a distanza le lezioni di entrambi i corsi è sufficiente cliccare il link seguente e autenticarsi con le proprie credenziali Sapienza:
https://uniroma1.zoom.us/j/81466953863
NEURAL NETWORKS 21-22 (NNs), cod. 1022870 - Master of Artificial Intelligence and Robotics,
From September 28, 2021
Tuesday 13:00-15:00, Room 41 (SPV)
Wednesday 11:00-13:00, Room 29 (SPV)
Wednesday 11:00-15:00, Room 29 (SPV)
To be included in the course mailing list and get credentials and additional course material send an email with institutional address (name.MATR@students. uniroma1.it) to the Teacher.
To follow the lessons at a distance, simply click the following link and authenticate yourself with your Sapienza credentials:
https://uniroma1.zoom.us/j/81191313267
DIGITAL AUDIO SIGNAL PROCESSING 21-22 (DASP) - cod. 1021929 Communications Engineering LM-27
The course starts on September 30, 2021
Wednesday 8:00 - 10:00
Thursday 8:00 - 12:00
Room SPV - A9
To be included in the course mailing list and get credentials and additional course material send an email with institutional address (name.MATR@students. uniroma1.it) to the Teacher.
To follow the lessons at a distance, simply click the following link and authenticate yourself with your Sapienza credentials:
https://uniroma1.zoom.us/j/84664417847
TECNICHE AUDIOVISVE 2022 (TAV) - cod. 1021913, Communications Engineering LM-27
From 22 February, 2022
Orario lezioni:
Martedì : 16:00 - 19:00
Mercoledì: 17:00 - 19:00
Per essere inclusi nella mailing list e ottenere informazioni aggiuntive sul corso (modaltà di accesso, eventuale link a materiale didattico aggiuntivo, ecc),
Inviare un'email con indirizzo istituzionale (name.MATR@students. uniroma1.it) al Docente.
N.B. La posta non istituzionale può essere temporaneamente accettata solo con (anche breve) motivazione.
Per seguire a distanza le lezioni è sufficiente cliccare il link seguente e autenticarsi con le proprie credenziali Sapienza:
https://uniroma1.zoom.us/j/82164852847
Additional info:
Covid-19 Phase 3: in-person and online classes
https://www.uniroma1.it/en/notizia/covid-19-phase-3-person-and-online-cl...
| Insegnamento | Codice | Anno | Corso - Frequentare | Bacheca |
|---|---|---|---|---|
| DIGITAL AUDIO SIGNAL PROCESSING | 10596629 | 2022/2023 | ||
| MACHINE LEARNING | 10593150 | 2022/2023 | ||
| TECNICHE AUDIOVISIVE | 1021913 | 2022/2023 | ||
| TECNICHE AUDIOVISIVE | 1021913 | 2021/2022 | ||
| MACHINE LEARNING | 10593150 | 2021/2022 | ||
| DIGITAL AUDIO SIGNAL PROCESSING | 10596629 | 2021/2022 | ||
| NEURAL NETWORKS | 1022870 | 2021/2022 | ||
| NEURAL NETWORKS | 1022870 | 2021/2022 | ||
| NEURAL NETWORKS | 1022870 | 2021/2022 | ||
| NEURAL NETWORKS | 1022870 | 2020/2021 | ||
| TECNICHE AUDIOVISIVE | 1021913 | 2020/2021 | ||
| TRATTAMENTO DEL SEGNALE AUDIO | 1021929 | 2020/2021 | ||
| MACHINE LEARNING | 10593150 | 2020/2021 | ||
| NEURAL NETWORKS | 1022870 | 2020/2021 | ||
| NEURAL NETWORKS | 1022870 | 2020/2021 | ||
| TRATTAMENTO DEL SEGNALE AUDIO | 1021929 | 2019/2020 | ||
| MACHINE LEARNING | 10593150 | 2019/2020 | ||
| NEURAL NETWORKS | 1022870 | 2019/2020 | ||
| NEURAL NETWORKS | 1022870 | 2019/2020 | ||
| NEURAL NETWORKS | 1022870 | 2019/2020 | ||
| NEURAL NETWORKS | 1022870 | 2018/2019 | ||
| ALGORITMI ADATTATIVI E MACHINE LEARNING | 1056123 | 2018/2019 | ||
| TRATTAMENTO DEL SEGNALE AUDIO | 1021929 | 2018/2019 | ||
| NEURAL NETWORKS | 1022870 | 2018/2019 | ||
| NEURAL NETWORKS | 1022870 | 2018/2019 | ||
| TRATTAMENTO DEL SEGNALE AUDIO | 1021929 | 2017/2018 | ||
| ALGORITMI ADATTATIVI E MACHINE LEARNING | 1056123 | 2017/2018 | ||
| NEURAL NETWORKS | 1022870 | 2017/2018 | ||
| NEURAL NETWORKS | 1022870 | 2017/2018 | ||
| NEURAL NETWORKS | 1022870 | 2017/2018 | ||
| NEURAL NETWORKS | 1022870 | 2016/2017 | ||
| TRATTAMENTO DEL SEGNALE AUDIO | 1021929 | 2016/2017 | ||
| ALGORITMI ADATTATIVI E CALCOLO PARALLELO | 1041729 | 2016/2017 | ||
| NEURAL NETWORKS | 1022870 | 2016/2017 | ||
| NEURAL NETWORKS | 1022870 | 2016/2017 |
Prof. Uncini receives in his office at the Department of Information Engineering, Electronics and Telecommunications (DIET), via Eudossiana (I floor).
Usually from 13:00 to 16:00 on Tuesday and Wednesday or Thursday from 12:00 to 13:00 (depending on the time of the frontal teaching activity).
In the case of COVID19 EMERGENCY - Send an email with the institutional address to the Lecturer.
An appointment will be fixed via Skype.
He is a Professor of Electrical and Computer Engineering, at the Department of Information Engineering, Electronics, and Telecommunications of the University of Rome "La Sapienza" - Italy. He received the Laurea degree in Electronic Engineering from the Marche Polytechnic University - Italy, in 1983 and the Ph.D. degree in Electrical Engineering in 1994 from the University of Bologna, Italy. In 1982-1983 he was a visiting student at the "Consiglio Nazionale delle Ricerche - Istituto O.M.Corbino" in Rome where he developed his Thesis work. From 1984 to 1986 he was with the "Ugo Bordoni" Foundation, Rome, Italy, engaged in research on digital processing of speech signals. From 1986 to 1987 he was at the Italian Ministry of Communication as Consigliere Tecnico di Automazione e Meccanizzazione. From 1987 to 1993 he was a free researcher affiliated at the Department of Electronics and Automatics - University of Ancona and where from 1994 to 1998 he was assistant professor. From 1999 to 2004, he was Associate Professor at the Department INFOCOM - University of Rome "La Sapienza". Form 2005 he is full professor at the Department of Information Engineering, Electronics and Telecommunications (DIET) where he is teaching Circuits Theory, Adaptive Algorithms and Machine Learning, Digital Audio Processing, Neural Networks. He his author of more than 250 papers in the field of optimization algorithms for circuits design, signal processing, neural networks and audio signal processing. His present research interests include also linear and non-linear adaptive filters, blind signal processing, adaptive audio and array processing, machine learning for signal processing.
Prof. Uncini is a member of the Audio Engineering Society, of the Institute of Electrical and Electronics Engineers (IEEE), of the Machine Learning for Signal Processing Technical Committee (2000-2003), (IEEE Signal Processing Society), of the Blind Signal Processing Technical Committee (IEEE Circuits and Systems Society), of the Associazione Elettrotecnica ed Elettronica Italiana (AEI), of the International Neural Networks Society (INNS) and Steering Committee member of Societa' Italiana Reti Neuroniche (SIREN).
Altre info: http://www.uncini.com/