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» Active learning for directed exploration of complex systems
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SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
15 years 6 months ago
Effective features of algorithm visualizations
Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations ...
Purvi Saraiya, Clifford A. Shaffer, D. Scott McCri...
131
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 1 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
99
Voted
AICOM
2002
103views more  AICOM 2002»
15 years 14 days ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
90
Voted
BMCBI
2010
90views more  BMCBI 2010»
15 years 21 days ago
PuTmiR: A database for extracting neighboring transcription factors of human microRNAs
Background: Some of the recent investigations in systems biology have revealed the existence of a complex regulatory network between genes, microRNAs (miRNAs) and transcription fa...
Sanghamitra Bandyopadhyay, Malay Bhattacharyya
102
Voted
HICSS
2003
IEEE
112views Biometrics» more  HICSS 2003»
15 years 5 months ago
Learning Through Telemedicine Networks
Telemedicine is advocated for its potential to improve the accessibility and quality of health care delivery while lowering costs [1]. Although the potential benefits of telemedic...
Liqiong Deng, Marshall Scott Poole