 | 2012 |
|---|
| 11 |       | Krisztian Buza,
Alexandros Nanopoulos,
Tomás Horváth,
Lars Schmidt-Thieme:
GRAMOFON: General model-selection framework based on networks.
Neurocomputing 75(1): 163-170 (2012) |
| 2011 |
|---|
| 10 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme:
IQ estimation for accurate time-series classification.
CIDM 2011: 216-223 |
| 9 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme:
Fusion of Similarity Measures for Time Series Classification.
HAIS (2) 2011: 253-261 |
| 8 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme,
Julia Koller:
Fast Classification of Electrocardiograph Signals via Instance Selection.
HISB 2011: 9-16 |
| 7 | | Timo Reuter,
Philipp Cimiano,
Lucas Drumond,
Krisztian Buza,
Lars Schmidt-Thieme:
Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.
ICWSM 2011 |
| 6 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme:
INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification.
PAKDD (2) 2011: 149-160 |
| 2010 |
|---|
| 5 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme:
Time-Series Classification Based on Individualised Error Prediction.
CSE 2010: 48-54 |
| 4 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme:
Individualized Error Estimation for Classification and Regression Models.
GfKl 2010: 183-191 |
| 3 | | Krisztian Buza,
Alexandros Nanopoulos,
Lars Schmidt-Thieme:
Graph-Based Model-Selection Framework for Large Ensembles.
HAIS (1) 2010: 557-564 |
| 2008 |
|---|
| 2 | | Krisztian Buza,
Lars Schmidt-Thieme:
Motif-Based Classification of Time Series with Bayesian Networks and SVMs.
GfKl 2008: 105-114 |
| 1 | | Leandro Balby Marinho,
Krisztian Buza,
Lars Schmidt-Thieme:
Folksonomy-Based Collabulary Learning.
International Semantic Web Conference 2008: 261-276 |
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