Publications

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My publications are listed below. Also, here is a link to my google scholar profile.

 

Refereed Journal Publications

  1. Prem Raj Adhikari, Anže Vavpetič, Jan Kralj, Nada Lavrač, Jaakko Hollmén, 2016. Explaining mixture models through semantic pattern mining and banded matrix visualization, Machine Learning, 2016:1-37, Springer.
  2. Prem Raj Adhikari, Jaakko Hollmén, 2013. Fast Progressive Training of Mixture Models for Model Selection. Journal of Intelligent Information Systems, 44(2):223-241, Springer.

Refereed Conference Publications

  1. Prem Raj Adhikari, Jaakko Hollmén, 2015. Resolution transfer in cancer classification based on amplification patterns. In N. Japkowicz, S. Matwin , Editors, Proceedings of Eighteenth International Conference on Discovery Science (DS 2015), Volume 9356 of Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg, October 4-6, 2015, Banff, Canada.
  2. Prem Raj Adhikari, Anže Vavpetič, Jan Kralj, Nada Lavrač and Jaakko Hollmén, 2014. Explaining mixture models through semantic pattern mining and banded matrix visualization. In S. Džeroski, P. Panov, D. Kocev, L. Todorovski, Editors, Proceedings of Seventeenth International Conference on Discovery Science (DS 2014), Volume 8777 of Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg, pages: 1-16, October 8-10, 2014, Bled, Slovenia.
  3. Prem Raj Adhikari, Jaakko Hollmén, 2013. Mixture Models from Multiresolution 0-1 Data. In J. Fürnkranz, E. Hüllermeier, and T. Higuchi, Editors, Proceedings of Sixteenth International Conference on Discovery Science (DS 2013), Volume 8140 of Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg, pages 1-16, October 6-9, 2013, Singapore.
  4. Prem Raj Adhikari, Jaakko Hollmén, 2012. Multiresolution Mixture Modeling using Merging of Mixture Components. In Steven C.H. Hoi and Wray Buntine Editors, Proceedings of Fourth Asian Conference on Machine Learning (ACML 2012), Volume 25 of Journal of Machine Learning Research - Proceedings Track, pages 17-32, November 4-6, 2012, Singapore.
  5. Prem Raj Adhikari, Jaakko Hollmén, 2012. Fast Progressive Training of Mixture Models for Model Selection. In J.-G. Ganascia, P. Lenca, and J.-M. Petit Editors, Proceedings of Fifteenth International Conference on Discovery Science (DS 2012), Volume 7569 of Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg, pages 194-208, October 29-31, 2012, Lyon, France.
  6. Prem Raj Adhikari, Bimal Babu Upadhyaya, Chen Meng, Jaakko Hollmén, 2011. Gene Selection in Time-series Gene Expression Data. In M. Loog, L. Wessels, M.J.T. Reinders, and D. de Ridder, editors, Proceedings of the 6th IAPR Conference on Pattern Recognition in Bioinformatics, volume 7036 of Lecture Notes in Bioinformatics, pages 145-156. Springer-Verlag, November 2011, Delft, The Netherlands.
  7. Prem Raj Adhikari, Jaakko Hollmén, 2010. Preservation of Statistically Significant patterns in Multiresolution 0-1 data. In Tjeerd Dijkstra, Evgeni Tsivtsivadze, Elena Marchiori, and Tom Heskes, editors, Proceedings of the 5th IAPR International Conference on Pattern Recgnition in Bioinformatics , Volume 6282 of Lecture Notes in Computer Science, pages 86-97 Springer-Verlag, September 2010, Nijmegen, The Netherlands.
  8. Prem Raj Adhikari, Jaakko Hollmén, 2010. Patterns from Multiresolution 0-1 data. In Proceedings of the ACM SIGKDD Workshop on Useful Patterns (Washington, DC, July 25 - 25, 2010). UP '10. ACM, New York, NY, 8-16.

 

Unrefereed Conference Publications

  1. Prem Raj Adhikari, Jaakko Hollmén, 2012. Mixture Modelling in Cancer Genomics. BREW 2012 Bioinformatics Research and Education Workshop, May 3-6, 2012, Bergen, Norway. Not Peer Reviewed

Technical Report

  1. Prem Raj Adhikari, 2009. Machine VS. Human Speech Recognition. In Kalle J. Palomäki, Ulpu Remes and Mikko Kurimo, editors, Studies On Noise Robust Automatic Speech Recognition, TKK Reports in Information and Computer Science TKK-ICS-R19, Pages 67-79, Helsinki University of Technology, November 2009, Espoo, Finland.

Conference presentations and posters

  1. Prem Raj Adhikari, Jaakko Hollmén, 2010. Multiresolution Mixture Models using Bayesian Networks. In Reija Autio, Ilya Shmulevich, Korbinian Strimmer, Carsten Wiuf, Septimia Sarbu and Olli Yli-Harja, Editors, Proceedings of the 10 th International Workshop on Computational Systems Biology, WCSB 2013, Tampere International Center for Signal Processing. TICSP series # 63, June 10-12, Tampere, Finland Download the poster in A4 here.
  2. Prem Raj Adhikari, Jaakko Hollmén, 2010. Mixture Modelling of Binary Data. Statistical Mechanics of Learning and Inference, Mariehamn, Åland, Finland, May 26-29, 2010. Download the poster in A4 here.
  3. Prem Raj Adhikari, Jaakko Hollmén, 2010. Preservation of Statistically Significant patterns in Multiresolution 0-1 data. 5th IAPR International Conference on Pattern Recgnition in Bioinformatics, Nijmegen, The Netherlands. September 22-24, 2010. Download the poster in A4 here.
  4. Prem Raj Adhikari, Jaakko Hollmén, 2011. Probabilistic Transformation and Modelling of Multiresolution 0-1 Data. The 11th SocBiN Conference (Bioinformatics 2011), Pages 1-1 of the Abstracts Book, Helsinki, Finland. May 10-12, 2011. Abstract only Download the poster in A4 here.
  5. Prem Raj Adhikari, Jaakko Hollmén, 2011. Unsupervised Stratified Cross-Validation. EIT ICT Labs Health Retreat, Helsinki, Finland, June 6-10, 2011.
  6. Prem Raj Adhikari, Jaakko Hollmén, 2012. Multiresolution Mixture Modeling using Merging of Mixture Components. The Eleventh International Symposium on Intelligent Data Analysis (IDA 2012), PhD Poster, October 25-27, Helsinki, 2012. Here is a two-minute screencast of the poster presentation. Download the poster in A4 here.

 

Doctoral Dissertation

  1. Prem Raj Adhikari, 2014. Probabilistic Modelling of Multiresolution Biological Data. Doctoral Dissertation, Aalto University School of Science, November 2014, Espoo, Finland.

Master's Thesis

  1. Prem Raj Adhikari, 2010. Mixture Modelling of Multiresolution 0-1 Data. Master's thesis, Aalto University School of Science and Technology, December 2010, Espoo, Finland.

About Prem

Prem Raj is a Data Scientist by trade and training, and a Post Doctoral Researcher at the University of Turku, Finland. He designs and develops algorithms, tools, and methods to make sense of vast amount of data.