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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20211031T030000
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UID:calendar.24051.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260412T143016Z
CREATED:20220218T070342Z
DESCRIPTION:in ottemperanza ai requisiti previsti dalla procedura selettiva
  per n. 1 posto di Professore di ruolo di I Fascia per il Settore Concorsu
 ale 09/H1 – Settore Scientifico Disciplinare ING-INF/05 presso il Dipartim
 ento di Ingegneria Informatica\, Automatica e Gestionale “Antonio Ruberti”
 \, codice concorso 2021POR039 del 14/07/2021\, Giovedì 24 febbraio 2022ore
  17:00\, Aula Magna\, DIAGe in collegamento Zoom  https://uniroma1.zoom.us
 /j/89988012270?pwd=bWVYL2ZEWnFVZk5qSlhwc3dYT0g2Zz09ID: 89988012270Passcode
 : 133564si terrà il seminario pubblico di Aristides Anagnostopoulos sulle 
 sue attività di ricerca. La notizia è pubblicata anche sul sito del DIAG.=
 ==Title: Data-Science Applications in Biostatistics and PhilologyAnstract:
 The current availability of data from various sources together with the de
 velopment of new AI methods for analyzing them\, has started transforming 
 multiple disciplines in the physical and life sciences\, and even in the h
 umanities. Of particular importance\, is the recent development of explain
 ability approaches in AI\, which make possible such multidisciplinary rese
 arch\, as they allow to identify the features in the data that are respons
 ible for the results and present them to the experts in the field\, who in
  turn can interpret them and guide the design choices of the system.In thi
 s talk I will present some recent work that offers new ways of analysis in
  the areas of biostatistics and in philology. I will present a new method 
 for genome-wide association studies (GWAS)\, which leverages the power of 
 neural networks by finding epistatic interactions: combinations of genes t
 hat acting together may be responsible for a given trait disease\, in our 
 case hypertension. This method detects subsets of input features to a neur
 al network that interact nonlinearly and have an effect to the output of t
 he network.  Next I will present a methodology for authorship attribution 
 of texts written in medieval Italian. I will finish the main part of the t
 alk with an approach for rank aggregation for selecting important features
 .Finally\, I will briefly discuss some other areas of my current research.
 Bio: Aristidis (Aris) Anagnostopoulos (http://aris.me) is an Associate Pro
 fessor at the Dept. of Computer\, Control\, and Management Engineering (DI
 AG) of Sapienza University of Rome. He graduated from the Computer Enginee
 ring and Informatics Department of Univesity of Patras\, Greece\, he obtai
 ned his Ph.D. from Brown University\, and afterwards he did a postdoc at Y
 ahoo! Research in Santa Clara\, CA. Since 2008 he is at DIAG\, as a Marie-
 Curie Fellow\, and then as an assistant and associate professor. His main 
 research interests include randomized and approximation algorithms as well
  as the application of machine-learning approaches on data-science problem
 s.  
DTSTART;TZID=Europe/Paris:20220224T170000
DTEND;TZID=Europe/Paris:20220224T170000
LAST-MODIFIED:20220218T081550Z
LOCATION:DIAG - Aula Magna
SUMMARY:Seminario pubblico di Aristides Anagnostopoulos  - Aristides Anagno
 stopoulos \n\n\n  \n  \n\n    \n\n\nAris\n\n\nAnagnostopoulos  \n\n  \n\n 
    \n\n\n\n\n\nProfessore Ordinario\n\n\npagina personale\n\nstanza: \n\nB
 111\n\ntelefono: \n\n+39 0677274114  \n\n  \n\n    \n\nBiografia: \n\n\n\n
 I am a Professor at the Department of Computer\, Control\, and Management 
 Engineering (Dipartimento di Ingegneria Informatica\, Automatica\, e Gesti
 onale) at Sapienza University of Rome since April 2012. Before I was a Mar
 ie-Curie fellow at the same place and even before I was a postdoc at Yahoo
 ! Research in Santa Clara\, CA.\n\n\nEducation:\n- Ph.D. in Computer Scien
 ce\, Brown University\, Providence\, RI\n- Sc.M. in Applied Mathematics\, 
 Brown University\, Provicence\, RI\n- Sc.M. in Computer Science\, Brown Un
 iversity\, Providence\, RI\n- Diploma in Computer Engineering and Informat
 ics\, University of Patras\, Patras\, Greece\n\nInteressi di ricerca: \n\n
 \n\n- Stochastic Analysis of Dynamic Processes\n- Modeling and Mining in S
 ocial Networks\n- Data Mining and Algorithms for the WWW\n- Randomized and
  Approximation Algorithms\n- Information Retrieval\n- Information Security
 \n\nqualifica_rr: \n\nProfessors
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24051
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