 | 2012 |
| 44 |  | Ulf Johansson,
Cecilia Sönströd,
Tuve Löfström,
Henrik Boström:
Obtaining accurate and comprehensible classifiers using oracle coaching.
Intell. Data Anal. 16(2): 247-263 (2012) |
| 2011 |
| 43 |  | Henrik Boström:
Concurrent Learning of Large-Scale Random Forests.
SCAI 2011: 20-29 |
| 2010 |
| 42 |  | Thashmee Karunaratne,
Henrik Boström,
Ulf Norinder:
Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.
ICMLA 2010: 828-833 |
| 41 |  | Tuve Löfström,
Ulf Johansson,
Henrik Boström:
Comparing methods for generating diverse ensembles of artificial neural networks.
IJCNN 2010: 1-6 |
| 40 |  | Cecilia Sönströd,
Ulf Johansson,
Henrik Boström,
Ulf Norinder:
Pin-pointing concept descriptions.
SMC 2010: 2956-2963 |
| 2009 |
| 39 |  | Tuve Löfström,
Ulf Johansson,
Henrik Boström:
Ensemble member selection using multi-objective optimization.
CIDM 2009: 245-251 |
| 38 |  | Thashmee Karunaratne,
Henrik Boström:
Graph Propositionalization for Random Forests.
ICMLA 2009: 196-201 |
| 37 |  | Sampath Deegalla,
Henrik Boström:
Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification.
ICMLA 2009: 771-775 |
| 36 |  | Catarina Dudas,
Henrik Boström:
Using uncertain chemical and thermal data to predict product quality in a casting process.
KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 57-61 |
| 2008 |
| 35 |  | Ulf Johansson,
Henrik Boström,
Rikard König:
Extending Nearest Neighbor Classification with Spheres of Confidence.
FLAIRS Conference 2008: 282-287 |
| 34 |  | Henrik Boström:
Calibrating Random Forests.
ICMLA 2008: 121-126 |
| 33 |  | Tuve Löfström,
Ulf Johansson,
Henrik Boström:
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.
ICMLA 2008: 127-132 |
| 32 |  | Cecilia Sönströd,
Ulf Johansson,
Ulf Norinder,
Henrik Boström:
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes.
ICMLA 2008: 559-564 |
| 31 |  | Ulf Johansson,
Tuve Löfström,
Henrik Boström:
The problem with ranking ensembles based on training or validation performance.
IJCNN 2008: 3222-3228 |
| 30 |  | Ulf Johansson,
Cecilia Sönströd,
Tuve Löfström,
Henrik Boström:
Chipper - A Novel Algorithm for Concept Description.
SCAI 2008: 133-140 |
| 2007 |
| 29 |  | Henrik Boström:
Estimating class probabilities in random forests.
ICMLA 2007: 211-216 |
| 28 |  | Sampath Deegalla,
Henrik Boström:
Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods.
IDEAL 2007: 800-809 |
| 27 |  | Thashmee Karunaratne,
Henrik Boström:
Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics.
IMECS 2007: 153-157 |
| 26 |  | Henrik Boström:
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets.
SDM 2007 |
| 2006 |
| 25 |  | Thashmee Karunaratne,
Henrik Boström:
Learning to classify structured data by graph propositionalization.
Computational Intelligence 2006: 283-288 |
| 24 |  | Sampath Deegalla,
Henrik Boström:
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification.
ICMLA 2006: 245-250 |
| 2004 |
| 23 |  | Tony Lindgren,
Henrik Boström:
Resolving rule conflicts with double induction.
Intell. Data Anal. 8(5): 457-468 (2004) |
| 2003 |
| 22 |  | Tony Lindgren,
Henrik Boström:
Resolving Rule Conflicts with Double Induction.
IDA 2003: 60-67 |
| 2002 |
| 21 |  | Tony Lindgren,
Henrik Boström:
Classification with Intersecting Rules.
ALT 2002: 395-402 |
| 20 |  | Per Lidén,
Lars Asker,
Henrik Boström:
Rule Induction for Classification of Gene Expression Array Data.
PKDD 2002: 338-347 |
| 2001 |
| 19 |  | Mikael Huss,
Henrik Boström,
Lars Asker,
Joakim Cöster:
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers.
BIOKDD 2001: 45-49 |
| 18 |  | Anette Hulth,
Jussi Karlgren,
Anna Jonsson,
Henrik Boström,
Lars Asker:
Automatic Keyword Extraction Using Domain Knowledge.
CICLing 2001: 472-482 |
| 17 |  | Martin Eineborg,
Henrik Boström:
Classifying Uncovered Examples by Rule Stretching.
ILP 2001: 41-50 |
| 16 |  | Juan J. Rodríguez Diez,
Carlos Alonso González,
Henrik Boström:
Boosting interval based literals.
Intell. Data Anal. 5(3): 245-262 (2001) |
| 2000 |
| 15 |  | Juan José Rodríguez,
Carlos J. Alonso,
Henrik Boström:
Learning First Order Logic Time Series Classifiers.
ILP Work-in-progress reports 2000 |
| 14 |  | Juan J. Rodríguez Diez,
Carlos Alonso González,
Henrik Boström:
Learning First Order Logic Time Series Classifiers: Rules and Boosting.
PKDD 2000: 299-308 |
| 1999 |
| 13 |  | Henrik Boström,
Lars Asker:
Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction.
ILP 1999: 33-43 |
| 12 |  | Henrik Boström:
Induction of Recursive Transfer Rules.
Learning Language in Logic 1999: 237-246 |
| 11 |  | Henrik Boström,
Peter Idestam-Almquist:
Induction of Logic Programs by Example-Guided Unfolding.
J. Log. Program. 40(2-3): 159-183 (1999) |
| 1998 |
| 10 |  | Henrik Boström:
Predicate Invention and Learning from Positive Examples Only.
ECML 1998: 226-237 |
| 1997 |
| 9 |  | Zoltán Alexin,
Tibor Gyimóthy,
Henrik Boström:
IMPUT: An Interactive Learning Tool Based on Program Specialization.
Intell. Data Anal. 1(1-4): 219-244 (1997) |
| 1996 |
| 8 |  | Zoltán Alexin,
Tibor Gyimóthy,
Henrik Boström:
Integrating Algorithmic Debugging and Unfolding Transformation in an Interactive Learner.
ECAI 1996: 403-407 |
| 7 |  | Henrik Boström:
Theory-Guideed Induction of Logic Programs by Inference of Regular Languages.
ICML 1996: 46-53 |
| 1995 |
| 6 |  | Hilde Adé,
Henrik Boström:
JIGSAW: Puzzling together RUTH and SPECTRE (Extended Abstract).
ECML 1995: 263-266 |
| 5 |  | Henrik Boström:
Specialization of Recursive Predicates.
ECML 1995: 92-106 |
| 4 |  | Henrik Boström:
Covering vs. Divide-and-Conquer for Top-Down Induction of Logic Programs.
IJCAI 1995: 1194-1200 |
| 1993 |
| 3 |  | Henrik Boström:
Improving Example-Guided Unfolding.
ECML 1993: 124-135 |
| 1991 |
| 2 |  | Carl Gustaf Jansson,
Henrik Boström,
Peter Idestam-Almquist:
Optimizing Horn Clause Logic Programs for Particular Modes of Use: An Analysis of Explanation-Based Learning and Partial Evaluation.
SCAI 1991: 252-257 |
| 1990 |
| 1 |  | Henrik Boström:
Generalizing the Order of Goals as an Approach to Generalizing Number.
ML 1990: 260-267 |