Montag, 17. Juli 2017

[HIForum] [Kolloquium] REMINDER: Informatics Colloquium Mo 17.07.17 at 17:15 in D-125 with Prof. Dr. Andreas Holzinger/ Medical University Graz

Dear all,
May we kindly remind you of the 
today's talk at 17:15 in room D-125. Please find the details below.
Best regards
Stephanie Schulte Hemming
 

Von: Schulte Hemming, Stephanie
Gesendet: Dienstag, 4. Juli 2017 13:14
An: kolloquium@informatik.uni-hamburg.de
Betreff: INVITATION: Informatics Colloquium Mo 17.07.17 at 17:15 in D-125 with Prof. Dr. Andreas Holzinger/ Medical University Graz

This is an invitation to the next Informatics Colloquium on Monday, 17 July 2017, 17:15, Campus "Informatikum/Stellingen", Room D-125. The talk entitled "Machine Learning and Knowledge Extraction: The challenge is in small amount of data sets" will be held by Prof. Dr. Andreas Holzinger, Professor at Medical University Graz, Institute for Medical Informatics/Statistics.

                

This talk will be held in English. The colloquium committee is looking forward to seeing you all there and to sharing this talk with you. For details on the series of colloquiums planned, please visit  https://www.inf.uni-hamburg.de/home/kolloquium/sose17.html

 

On behalf of the colloquium committee

Stephanie Schulte Hemming

Universität Hamburg

 

 

ABSTRACT:

The goal of Machine Learning is to learn from data, to extract and discover knowledge, and to help to make decisions under uncertainty. In automatic machine learning (aML) great advances have been made, for example, in speech recognition, recommender systems, or autonomous vehicles. Automatic approaches greatly benefit from "big data" with many training sets. However, sometimes we are confronted with a small amount of complex data sets, where aML suffers of insufficient training samples. The application of such aML approaches in complex application domains, e.g. as in health informatics seems elusive in the near future, and a good example are Gaussian processes, where aML (e.g. standard kernel machines) struggle on function extrapolation problems, which are trivial for human learners. In such situations, interactive Machine Learning (iML) can be beneficial where a human-in-the-loop helps in solving computationally hard problems, e.g., subspace clustering, protein folding, or k-anonymization of health data, where the knowledge and experience of human experts can help to reduce an exponential search space through heuristic selection of samples. Therefore, what would otherwise be an NP-hard problem reduces greatly in complexity through the input and the assistance of an human agent involved directly into the learning phase. Tackling such challenges needs a concerted effort, fostering integrative ML research between experts ranging from diverse disciplines, from data science to visualization, and both disciplinary excellence and a cross-disciplinary skill-set with international collaboration.

 

BIO:

Andreas Holzinger is lead of the Holzinger Group HCI–KDD, Institute for Medical Informatics/Statistics at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. Currently, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. Andreas obtained a PhD in Cognitive Science from Graz University in 1998 and his Habilitation (second PhD) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (twice), Aachen, and Verona. Andreas and his Group work on extracting knowledge from data and foster a synergistic combination of methodologies of two areas that offer ideal conditions towards unraveling problems with complex health data: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the central goal of supporting human intelligence with machine learning to discover novel, previously unknown insights into data. To stimulate crazy ideas at international level without boundaries, Andreas founded the international Expert Network HCI–KDD. Andreas is Associate Editor of Knowledge and Information Systems (KAIS), Associate Editor of Springer Brain Informatics (BRIN) and Section Editor for Machine Learning of BMC Medical Informatics and Decision Making (MIDM). He is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI and the Austrian Computer Society. Home: http://hci-kdd.org

  

CONTACT:

Prof. Dr. Chris Biemann, Universität Hamburg, FB Informatik

 

 

 

 

 

Dienstag, 4. Juli 2017

[HIForum] [Kolloquium] INVITATION: Informatics Colloquium Mo 17.07.17 at 17:15 in D-125 with Prof. Dr. Andreas Holzinger/ Medical University Graz

This is an invitation to the next Informatics Colloquium on Monday, 17 July 2017, 17:15, Campus "Informatikum/Stellingen", Room D-125. The talk entitled "Machine Learning and Knowledge Extraction: The challenge is in small amount of data sets" will be held by Prof. Dr. Andreas Holzinger, Professor at Medical University Graz, Institute for Medical Informatics/Statistics.

                

This talk will be held in English. The colloquium committee is looking forward to seeing you all there and to sharing this talk with you. For details on the series of colloquiums planned, please visit  https://www.inf.uni-hamburg.de/home/kolloquium/sose17.html

 

On behalf of the colloquium committee

Stephanie Schulte Hemming

Universität Hamburg

 

 

ABSTRACT:

The goal of Machine Learning is to learn from data, to extract and discover knowledge, and to help to make decisions under uncertainty. In automatic machine learning (aML) great advances have been made, for example, in speech recognition, recommender systems, or autonomous vehicles. Automatic approaches greatly benefit from "big data" with many training sets. However, sometimes we are confronted with a small amount of complex data sets, where aML suffers of insufficient training samples. The application of such aML approaches in complex application domains, e.g. as in health informatics seems elusive in the near future, and a good example are Gaussian processes, where aML (e.g. standard kernel machines) struggle on function extrapolation problems, which are trivial for human learners. In such situations, interactive Machine Learning (iML) can be beneficial where a human-in-the-loop helps in solving computationally hard problems, e.g., subspace clustering, protein folding, or k-anonymization of health data, where the knowledge and experience of human experts can help to reduce an exponential search space through heuristic selection of samples. Therefore, what would otherwise be an NP-hard problem reduces greatly in complexity through the input and the assistance of an human agent involved directly into the learning phase. Tackling such challenges needs a concerted effort, fostering integrative ML research between experts ranging from diverse disciplines, from data science to visualization, and both disciplinary excellence and a cross-disciplinary skill-set with international collaboration.

 

BIO:

Andreas Holzinger is lead of the Holzinger Group HCI–KDD, Institute for Medical Informatics/Statistics at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. Currently, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. Andreas obtained a PhD in Cognitive Science from Graz University in 1998 and his Habilitation (second PhD) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (twice), Aachen, and Verona. Andreas and his Group work on extracting knowledge from data and foster a synergistic combination of methodologies of two areas that offer ideal conditions towards unraveling problems with complex health data: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the central goal of supporting human intelligence with machine learning to discover novel, previously unknown insights into data. To stimulate crazy ideas at international level without boundaries, Andreas founded the international Expert Network HCI–KDD. Andreas is Associate Editor of Knowledge and Information Systems (KAIS), Associate Editor of Springer Brain Informatics (BRIN) and Section Editor for Machine Learning of BMC Medical Informatics and Decision Making (MIDM). He is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI and the Austrian Computer Society. Home: http://hci-kdd.org

  

CONTACT:

Prof. Dr. Chris Biemann, Universität Hamburg, FB Informatik

 

 

 

 

 

Montag, 26. Juni 2017

[HIForum] HIForum-News 2/2017: Protokoll Mitgliederversammlung, Sommerfest, Robocup AG, Cybersicherheit, Geburtstag


HIForum-News 2/2017


Inhalt:

= 1. Protokoll der letzten MV

Anbei übersenden wir Ihnen das Protokoll unserer diesjährigen Mitgliederversammlung vom 06. April 2017.

= 2. Semesterverabschiedung und Sommerfest des Fachbereich

Wir möchten Sie ganz herzlich einladen, an der Semesterverabschiedung der AbsolventInnen des letzten halben Jahres im Zuse-Hörsaal des Informatikum am

            Mittwoch, 5.Juli ab 16 Uhr

teilzunehmen.

Um 17 Uhr beginnt das traditionelle Sommerfest Ihres Fachbereich Informatik. (Die diesjährige Webseite zur Veranstaltung kommt in aller Kürze, die Uni-Seiten sind alle einem "Refresh" unterzogen worden, deshalb zur Orientierung hier die Seite vom letzten Jahr)

Wir freuen uns auf viele Alumni des Fachbereichs, die das Fest bereichern werden. Sie können sich im Talar fotografieren lassen (endlich!), in der Tombola gewinnen, lecker Gegrilltes oder Waffeln essen, spielen, klönen ...

= 3. Open Computer-Museum

Vor und während des Sommerfestes gibt wieder die Gelegenheit, sich im inzwischen sehr gewachsenen Informatik-Museum umzuschauen und evtl. sogar eine Führung zu bekommen (der "Museumsdirektor" Herr Prof. i.R. Horst Oberquelle hatte dazu bereits eingeladen und eine Wunschliste fehlender Objekte geteilt)
         
            Mittwoch, 5. Juli 10 - 19 Uhr
            in C-015 (Keller Haus C)

Es gibt eine große Anzahl von neuen Exponaten zu bestaunen!

Openmuseum2017

= 4. Die Robocup AG fährt zur WM 2017 nach Japan

Unsere studentische RoboCup AG hat sich um eine Teilnahme an den Weltmeisterschaften im Roboterfußball 2017 in China beworben und ist nominiert worden. Herzlichen Glückwunsch! Die Weltmeisterschaft RoboCup 2017 findet vom 27. Juli bis 31. Juli in Nagoya in Japan statt. Der Wettbewerb fördert den Austausch unter den Universitäten und Studierenden und erlaubt den direkten Vergleich von Forschungs- und Arbeitsergebnissen.

Wir möchten diese studentische Initiative sehr gerne unterstützen, können aus unserem regulären Budget aber nur einen Beitrag zu den Teilnahmegebühren für das Team decken, da wir unsere Mitgliedsbeiträge auch in diesem Jahr konstant und niedrig halten. Unser Team für Japan, unsere Studierenden, müssen die Aufenthaltskosten selbst tragen, eine große Herausforderung für die kleinen Budgets von Studierenden.

Heute möchten wir unsere Mitglieder und Firmenmitglieder um Spenden bitten, damit unsere Studierenden ihre Alma mater gebührend in Japan vertreten können. Folgen Sie dem Beispiel anderer Alumni früherer Jahre und überweisen Sie einen Betrag Ihrer Wahl an

        HIForum e.V. Konto 0000 601 605 bei der SPARDA BANK Hamburg, BLZ 206 905 00. Stichwort Robocup 2017

Eine Spendenbescheinigung wird selbstverständlich ausgestellt.

Wir möchten auf einen Vortrag des Alumnivereins der Universität Hamburg verweisen, der am 5.7. ab 19Uhr das Thema Cybersicherheit, Cybersicherheit, also die Vermeidung, Feststellung und Abwehr von Angriffen aus dem Netz gegen Informationen und Maschinen zum Inhalt hat. Mehr hier.

= 6. HIForum wird 20

20 Geburtstag .:-] cartoon IT [-:.
Das HIForum wird im nächsten Jahr 20 Jahre alt, da das Gründungsjahr des Hamburger Informatik-Forum das Jahr 1998 war. Das sollten wir feiern! Wenn Sie selbst Ideen dazu haben oder Vorschläge machen wollen, schreiben Sie uns flugs eine EMail. Wir werden über die Entwicklung auf diesem Kanal berichten.

In eigener Sache

Wie gefällt Ihnen dieser Newsletter, insbesondere die Neuerungen wie Bilder und etwas Formatierung? Schicken Sie uns gerne Verbesserungsvorschläge!

Rückblicke zu oder Ankündigungen von Veranstaltungen, die einen Bezug zum Fachbereich Informatik oder dem HIForum haben, flugs an newsletter@hiforum.de senden oder gleich auf unserer Facebook-Seite posten: https://www.facebook.com/hiforum/ 

Mit besten Grüßen
Angela Schwabl, Dirk Martinssen, Christian Graf

Impressum

Herausgeber: Hamburger Informatik-Forum e.V., V.i.S.P: Christian Graf (2. Vorsitzender)
Freunde und Förderer des Fachbereichs Informatik der Universität Hamburg  c/o Fachbereich Informatik, Vogt-Kölln-Straße 30, 22527 Hamburg  

Donnerstag, 22. Juni 2017

[HIForum] Open Museum am 5. Juli & Wunschliste

Liebe Mitglieder des Hamburger Informatik-Forums!

Ich möchte Sie wieder einmal herzlich einladen, sich im Computer-Museum umzusehen.

        Open Museum
        Mittwoch, den 5. Juli, 10 - 19 Uhr
        in C-015 (Keller Haus C)

Es gibt eine große Anzahl von neuen Exponaten zu bestaunen!

Ich stehe für Auskünfte zur Verfügung. Zeitweise wird es kleine Führungen geben.
Um Anmeldungen an meine E-Mail-Adresse wird gebeten.


Am gleichen Tag ist um 16:00 Uhr die Semesterverabschiedung. Anschließend steigt das Sommerfest in Stellingen.


Ich suche für das Museum noch einige historisch interessante Exponate.
Hier ist meine aktuelle kleine Wunschliste.

IBM 5100 portable computer (1975)
IBM 5110 (1978)

Sinclair ZX 80

Compaq Portable III
Commodore SX-64 - tragbarer C64

Microsoft "green-eyed" Mouse (1983)

Apple iPod (Classic, Scroll Wheel) 1. Generation        M8541   2001
Apple iPod (Classic, Touch Wheel) 2. Generation A1019   2002           
Apple iPod (Classic, ClickWheel) 4. Generation  A1059   2004           
Apple iPod mini 1. Generation                   A1051   2004

Apple iPad (WiFi, 1. Generation)                A1219   2011

Vielleicht schlummert das eine oder andere Gerät bei irgend wem in der Ecke und wartet auf einen neuen Auftritt. Für Spenden oder sachdienliche Hinweise wäre ich sehr dankbar.

Mit besten Grüßen
Horst Oberquelle

Montag, 19. Juni 2017

[HIForum] [Kolloquium] REMINDER: Informatics Colloquium Mo 19 June 2017, 17:15, B-201 "Adaptive Language Technologies" by Prof. Chris Biemann - Inaugural Lecture

Dear all,


May we kindly remind you of the today's inaugural lecture with Prof. Chris Biemann at 17:15 in room B-201. Please find the details below.

 

Best regards


On behalf of the colloquium committee

Stephanie Schulte Hemming

Universität Hamburg

 

 

Von: Fbi-alle <fbi-alle-bounces@mailhost.informatik.uni-hamburg.de> im Auftrag von "Schulte Hemming, Stephanie" <schulte@informatik.uni-hamburg.de>
Datum: Dienstag, 6. Juni 2017 um 11:27
An: "kolloquium@informatik.uni-hamburg.de" <kolloquium@informatik.uni-hamburg.de>
Betreff: [Fbi-alle] [Kolloquium] INVITATION: Informatics Colloquium Mo 19 June 2017, 17:15, B-201 "Adaptive Language Technologies" by Prof. Chris Biemann - Inaugural Lecture

 

This is an invitation to the next Informatics Colloquium on Monday, 19 June 2017, 17:15 s.t., Campus "Informatikum/Stellingen", Room B-201 (Konrad-Zuse lecture hall). The talk entitled "Adaptive Language Technologies" will be held by Prof. Dr. Chris Biemann, since October 2016 Professor for language technology at Universität Hamburg, department of informatics.

               

This inaugural lecture will be held in English. The colloquium committee is looking forward to seeing you all there and to sharing this talk with you. For details on the series of colloquiums planned, please visit  https://www.inf.uni-hamburg.de/home/kolloquium/sose17.html

 

On behalf of the colloquium committee

Stephanie Schulte Hemming

Universität Hamburg

 

 

ABSTRACT:

Automatic natural language understanding enables natural communication with computers and computer-assisted access to the content of large document collections. While classical approaches to artificial intelligence anticipate all possible situations and interactions in form of a fully specified dialogue model or ontology, they are hard to adapt to new domains and do not cope well with language change. In this talk, I will motivate an adaptive, purely data-driven approach to natural language processing. Illustrated by recent research prototypes, three stages of data-driven adaptation will be illustrated: feature/resource induction, induction of processing components and continuous data-driven learning. Finally, I will discuss current research and future directions regarding the integration of symbolic and statistical knowledge, interpretability of language processing components as well as advanced forms of information access.

 

BIO:

Chris Biemann obtained his doctorate in Computer Science / Natural Language Processing in 2007 from the University of Leipzig, before joining the San-Francisco-based semantic search startup Powerset, which was acquired by Microsoft to form the Bing.com search engine. In 2011, he got appointed as assistant professor for language technology in the computer science department at TU Darmstadt; since October 2016, Chris is professor for language technology at the University of Hamburg. His current research is focused on adaptive natural language processing in the cognitive computing paradigm, web-scale statistical semantic methods, machine learning from crowdsourcing signals and on applications in the humanities and social sciences.

 

CONTACT:

Prof. Dr. Tilo Böhmann, ITMC