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Kolloquium Montag, 4.5.15

Fritz Wysotzki (TU Berlin): Modelle des Assoziativen Gedächtnisses
Ausführlich

Kolloquium Montag, 30.3.15,

Sebastian Boosz: Applying Anti-Unification Strategies to Matching and Generalization of Recursive Functions - Investigating a Second-order approach for Learning from Examples (Masterarbeit AI)
Ausführlich

Kolloquium Dienstag, 24.3.15,

Frederic Ehmann: Künstliche Intelligenz in Computerspielen -- Lernen von Handlungsstrategien eines autonomen Agenten am Beispiel eines Jump 'n' Run Computerspiels (Masterarbeit AI)
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16.12.14

Michael Siebers für den Preis für gute Lehre an der Fakultät nominiert


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Kolloquium Montag, 8.12.14

Florian Muth & Sebastian Ulschmid: Anwendung von Feature-Extraktionsmethoden und Klassifikationslernen zur Identifikation von Fahrzeugtypen (Ergebnisse des Master-Projekts)
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MAC Dienstag, 2.12.14

Ute Schmid, Applying Inductive Program Synthesis to Induction of Number Series - A Case Study with IGOR2
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15.10.14

Dagstuhl Seminar 15442 accepted

We are please that our topic "Approaches and Applications of Inductive Programming" (AAIP) got accepted as Dagstuhl seminar.
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Kolloquium Montag, 13.10.2014

Martina Milovec: Applying Inductive Programming to Solving Number Series Problems - Comparing Performance of IGOR with Humans
Ausführlich

Alle News

Prof. Dr. Ute Schmid

 

Head of Cognitive Systems Group

Contact

Address:
Professur für Angewandte Informatik insb. Kognitive Systeme
Fakultät Wirtschaftsinformatik und Angewandte Informatik
Otto-Friedrich-Universität Bamberg
D-96045 Bamberg

Office: Room WE5/05.043
An der Weberei 5 (ERBA)
96047 Bamberg

Consultation Hour: by appointment

Phone: ++49-0951-863 2860

Fax: ++49-951-863 2862

E-Mail: Mail to Ute Schmid

CV

Ute Schmid holds a diploma in psychology and a diploma in computer science, both from Technical University Berlin (TUB), Germany. She received her doctoral degree (Dr. rer.nat.) in computer science from TUB in 1994 and her habilitation in computer science in 2002. From 1994 to 2001 she was assistant professor (wissenschaftliche Assistentin) at the AI/Machine Learning group, Department of Computer Science, TUB. Afterwards she worked as lecturer (akademische Rätin) at the Department of Mathematics and Computer Science at University Osnabrück. Since 2004 she holds a professorship of Applied Computer Science/Cognitive Systems at the University of Bamberg. Her research interests are mainly in the domain of high-level learning on structural data, especially inductive programming, knowledge level learning from planning, learning structural prototypes, analogical problem solving and learning. Further research is on various applications of machine learning (e.g., classifier learning from medical data and for facial expressions) and empirical and experimental work on high-level cognitive processes and usability evaluation.

Research

Publications

Selected Activities 

Teaching