Vasileios 'Bill' Kandylas

Βασίλειος Κανδύλας

Computer and Information Science
School of Engineering and Applied Science
University of Pennsylvania
kandylas @ seas.upenn.edu

I am a Ph.D. candidate under the supervision of Lyle Ungar.


Research interests

My interests lie in artificial intelligence, machine learning and data mining. For my thesis, I am concentrating in clustering and specifically online, few-pass and multi-way clustering and applications to document and text mining.


Publications

Papers

Analyzing knowledge communities using foreground and background clusters,
Vasileios Kandylas, S. Phineas Upham and Lyle Ungar
ACM Transactions on Knowledge Discovery from Data, Submitted

Multiway clustering for creating biomedical term sets,
Vasileios Kandylas, Lyle Ungar, Ted Sandler and Shane Jensen
IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, PA, 2008

Finding cohesive clusters for analyzing knowledge communities,
Vasileios Kandylas, S. Phineas Upham and Lyle Ungar
Seventh IEEE International Conference on Data Mining, Omaha, NE, 2007
Journal version in Knowledge and Information Systems, DOI 10.1007/s10115-008-0135-5

Winner-Take-All EM Clustering,
Vasileios Kandylas, Lyle Ungar and Dean Foster
North East Student Colloquium on Artificial Intelligence}, Ithaca, NY, 2007

Other work

Projective clustering of high dimensional data,
Vasileios Kandylas
WPE-II report. 2007

Software

An implementation of the Streemer algorithm in Matlab.

Teaching Assistance

CIS 112 - Networked Life, Spring 2009.
CIS 502 - Analysis of Algorithms, Spring 2007.
CIS 520 - Introduction to Artificial Intelligence, Fall 2006.
CSE 399-005 - Python Programming, Spring 2006.
CSE 399-002 - C/C++ Programming, Spring 2006.
CSE 371 - Digital Systems Organization and Design, Spring 2004.
CIS 501 - Computer Architecture, Fall 2003.


Relevant links

Machine learning at Penn
Machine learning lunch
Data mining wiki