Niklas Lavesson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
13
Active years
2006–2023
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | PROFES | Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. | Antonio Pedro Santos Alves, Marcos Kalinowski, Grkem Giray, Daniel Mndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hlio Lopes, Stefan Biffl, Jrgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek |
| 2020 | DAS | Representative Image Selection for Data Efficient Word Spotting. | Florian Westphal, Hkan Grahn, Niklas Lavesson |
| 2019 | DSAA | Higher Order Mining for Monitoring District Heating Substations. | Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Hkan Grahn, Niklas Lavesson |
| 2019 | ICDAR | Learning Character Recognition with Graph-Based Privileged Information. | Florian Westphal, Niklas Lavesson, Hkan Grahn |
| 2018 | DAS | Document Image Binarization Using Recurrent Neural Networks. | Florian Westphal, Niklas Lavesson, Hkan Grahn |
| 2018 | DSAA | Hoeffding Trees with Nmin Adaptation. | Eva Garca-Martn, Niklas Lavesson, Hkan Grahn, Emiliano Casalicchio, Veselka Boeva |
| 2018 | ICAART | Evolutionary Clustering Techniques for Expertise Mining Scenarios. | Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova |
| 2018 | ICDM | User Feedback and Uncertainty in User Guided Binarization. | Florian Westphal, Hkan Grahn, Niklas Lavesson |
| 2018 | ICMLA | A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. | Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Hkan Grahn, Selim Ickin, Jrgen Gustafsson |
| 2017 | GPC | Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. | Eva Garca Martn, Niklas Lavesson, Hkan Grahn |
| 2011 | AICCSA | CudaRF: A CUDA-based implementation of Random Forests. | Hkan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat |
| 2011 | IRI | Trustworthy opportunistic sensing: A Social Computing Paradigm. | Henric Johnson, Niklas Lavesson, Daniela Oliveira, Shyhtsun Felix Wu |
| 2009 | CAIP | Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images. | Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael G. Nilsson |
| 2009 | SDM | AMORI: A Metric-Based One Rule Inducer. | Niklas Lavesson, Paul Davidsson |
| 2008 | SDM | Generic Methods for Multi-criteria Evaluation. | Niklas Lavesson, Paul Davidsson |
| 2006 | AAAI | Quantifying the Impact of Learning Algorithm Parameter Tuning. | Niklas Lavesson, Paul Davidsson |