 | 2012 |
| 24 |  | Shaliz Rezaee,
Niklas Lavesson,
Henric Johnson:
E-Mail Prioritization using Online Social Network Profile Distance.
IJCSA 9(1): 70-87 (2012) |
| 2011 |
| 23 |  | Håkan Grahn,
Niklas Lavesson,
Mikael Hellborg Lapajne,
Daniel Slat:
CudaRF: A CUDA-based implementation of Random Forests.
AICCSA 2011: 95-101 |
| 22 |  | Raja Khurram Shahzad,
Niklas Lavesson,
Henric Johnson:
Accurate Adware Detection Using Opcode Sequence Extraction.
ARES 2011: 189-195 |
| 21 |  | Prantik Bhattacharyya,
Jeff Rowe,
Shyhtsun Felix Wu,
Karen Zita Haigh,
Niklas Lavesson,
Henric Johnson:
Your best might not be good enough: Ranking in collaborative social search engines.
CollaborateCom 2011: 87-94 |
| 20 |  | Henric Johnson,
Niklas Lavesson,
Daniela A. S. de Oliveira,
Shyhtsun Felix Wu:
Trustworthy opportunistic sensing: A Social Computing Paradigm.
IRI 2011: 513-518 |
| 19 |  | Raja Khurram Shahzad,
Niklas Lavesson:
Detecting Scareware by Mining Variable Length Instruction Sequences.
ISSA 2011 |
| 18 |  | Anton Borg,
Martin Boldt,
Niklas Lavesson:
Informed Software Installation Through License Agreement Categorization.
ISSA 2011 |
| 17 |  | Elena Kostadinova,
Veselka Boeva,
Niklas Lavesson:
Clustering of Multiple Microarray Experiments Using Information Integration.
ITBAM 2011: 123-137 |
| 16 |  | Hiva Allahyari,
Niklas Lavesson:
User-oriented Assessment of Classification Model Understandability.
SCAI 2011: 11-19 |
| 15 |  | Raja Khurram Shahzad,
Niklas Lavesson:
Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences.
SCAI 2011: 195-196 |
| 14 |  | Niklas Lavesson,
Henric Johnson:
Measuring profile distance in online social networks.
WIMS 2011: 47 |
| 13 |  | Niklas Lavesson,
Martin Boldt,
Paul Davidsson,
Andreas Jacobsson:
Learning to detect spyware using end user license agreements.
Knowl. Inf. Syst. 26(2): 285-307 (2011) |
| 2010 |
| 12 |  | Raja Khurram Shahzad,
Syed Imran Haider,
Niklas Lavesson:
Detection of Spyware by Mining Executable Files.
ARES 2010: 295-302 |
| 11 |  | Niklas Lavesson:
Predicting the Risk of Future Hospitalization.
DEXA Workshops 2010: 120-124 |
| 10 |  | Niklas Lavesson,
Paul Davidsson:
APPrOVE: Application-oriented validation and evaluation of supervised learners.
IEEE Conf. of Intelligent Systems 2010: 150-155 |
| 9 |  | Veselka Boeva,
Petia Ivanova,
Niklas Lavesson:
A hybrid computational method for the identification of cell cycle-regulated genes.
IEEE Conf. of Intelligent Systems 2010: 390-395 |
| 8 |  | Niklas Lavesson:
Learning Machine Learning: A Case Study.
IEEE Trans. Education 53(4): 672-676 (2010) |
| 2009 |
| 7 |  | Azam Sheikh Muhammad,
Niklas Lavesson,
Paul Davidsson,
Mikael Nilsson:
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images.
CAIP 2009: 1220-1227 |
| 6 |  | Marie Persson,
Niklas Lavesson:
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study.
DEXA Workshops 2009: 323-327 |
| 5 |  | Niklas Lavesson,
Paul Davidsson:
AMORI: A Metric-Based One Rule Inducer.
SDM 2009: 930-941 |
| 2008 |
| 4 |  | Niklas Lavesson,
Paul Davidsson:
Generic Methods for Multi-criteria Evaluation.
SDM 2008: 541-546 |
| 3 |  | Niklas Lavesson,
Paul Davidsson,
Martin Boldt,
Andreas Jacobsson:
Spyware Prevention by Classifying End User License Agreements.
New Challenges in Applied Intelligence Technologies 2008: 373-382 |
| 2007 |
| 2 |  | Niklas Lavesson,
Paul Davidsson:
Evaluating learning algorithms and classifiers.
IJIIDS 1(1): 37-52 (2007) |
| 2006 |
| 1 |  | Niklas Lavesson,
Paul Davidsson:
Quantifying the Impact of Learning Algorithm Parameter Tuning.
AAAI 2006: 395-400 |