Jaakko Hollmen

  • Aalto SCI Computer Science Konemiehentie 2

19962019

Research output per year

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Research Output

2019

Clustering Diagnostic Profiles of Patients

Hollmén, J. & Papapetrou, P., 1 Jan 2019, Artificial Intelligence Applications and Innovations - 15th IFIP WG 12.5 International Conference, AIAI 2019, Proceedings. Iliadis, L., Pimenidis, E., MacIntyre, J. & Maglogiannis, I. (eds.). p. 120-126 7 p. (IFIP Advances in Information and Communication Technology; vol. 559).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland

Kuzmanovski, V., Sulkava, M., Palosuo, T. & Hollmén, J., 1 Jan 2019, Discovery Science 22nd International Conference, DS 2019, Proceedings. Kralj Novak, P., Džeroski, S. & Šmuc, T. (eds.). p. 176-185 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11828 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2018

Analyzing business process changes using influence analysis

Lehto, T., Hinkka, M. & Hollmén, J., 1 Jan 2018, In : CEUR Workshop Proceedings. 2270, p. 32-46 15 p.

Research output: Contribution to journalConference articleScientificpeer-review

Open Access
File
60 Downloads (Pure)

A survey of evaluation methods for personal route and destination prediction from mobility traces

Stegmann, R. A., Žliobaitė, I., Tolvanen, T., Hollmén, J. & Read, J., 1 Mar 2018, In : Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 8, 2, p. 1-18 e1237.

Research output: Contribution to journalReview ArticleScientificpeer-review

3 Citations (Scopus)

Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature

Hollmén, J., Boström, H., Asker, L., Karlsson, I., Papapetrou, P., Wikner, B. N. & Ohman, I., 26 Jun 2018, Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, PETRA 2018. ACM, p. 1-4 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Gaussian process classification for prediction of in-hospital mortality among preterm infants

Rinta-Koski, O. P., Särkkä, S., Hollmén, J., Leskinen, M. & Andersson, S., 2018, In : Neurocomputing. 298, p. 134-141

Research output: Contribution to journalArticleScientificpeer-review

Open Access
5 Citations (Scopus)
2017

A 5.3 pJ/op approximate TTA VLIW tailored for machine learning

Teittinen, J., Hiienkari, M., Zliobaite, I., Hollmen, J., Berg, H., Heiskala, J., Viitanen, T., Simonsson, J. & Koskinen, L., 1 Mar 2017, In : Microelectronics Journal. 61, p. 106-113 8 p.

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints

Maslov, A., Pechenizkiy, M., Pel, Y., Zliobaite, I., Shklyaev, A., Karkkainen, T. & Hollmen, J., 30 Jun 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. IEEE, p. 1916-1923 8 p. 7966085. (Proceedings of International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Effects of precipitation and temperature on the growth variation of Scots pine-A case study at two extreme sites in Finland

Nojd, P., Korpela, M., Hari, P., Rannik, U., Sulkava, M., Hollmen, J. & Makinen, H., Dec 2017, In : DENDROCHRONOLOGIA. 46, p. 35-45 11 p.

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Focusing business process lead time improvements using influence analysis

Lehto, T., Hinkka, M. & Hollmén, J., 2017, Data-driven Process Discovery and Analysis: Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Neuchatel, Switzerland, December 6-8, 2017. Ceravolo, P., Van Keulen, M. & Stoffel, K. (eds.). CEUR, p. 54-67 14 p. (CEUR Workshop Proceedings ; vol. 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
77 Downloads (Pure)

Identifying the main drivers for the production and maturation of Scots pine tracheids along a temperature gradient

Kulmala, L., Read, J., Nöjd, P., Rathgeber, C. B. K., Cuny, H. E., Hollmén, J. & Mäkinen, H., 15 Jan 2017, In : Agricultural and Forest Meteorology. 232, p. 210-224 15 p.

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II

Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Džeroski, S., 18 Sep 2017, 866 p. ( Lecture Notes in Computer Science; vol. 10535)

Research output: Book/ReportAnthologyScientificpeer-review

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I

Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Džeroski, S., 18 Sep 2017, 852 p. ( Lecture Notes in Computer Science; vol. 10534)

Research output: Book/ReportAnthologyScientificpeer-review

Multi-label methods for prediction with sequential data

Read, J., Martino, L. & Hollmén, J., 1 Mar 2017, In : Pattern Recognition. 63, p. 45-55 11 p.

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Newtonian boreal forest ecology: The Scots pine ecosystem as an example

Hari, P., Aakala, T., Aalto, J., Bäck, J., Hollmén, J., Jõgiste, K., Koupaei, K. K., Kähkönen, M. A., Korpela, M., Kulmala, L., Nikinmaa, E., Pumpanen, J., Salkinoja-Salonen, M., Schiestl-Aalto, P., Simojoki, A. & Havimo, M., 1 Jun 2017, In : PloS one. 12, 6, p. 1-27 e0177927.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Citations (Scopus)
76 Downloads (Pure)

Prediction of major complications affecting very low birth weight infants

Rinta-Koski, O-P., Särkkä, S., Hollmen, J., Leskinen, M., Rantakari, K. & Andersson, S., 2017, 2017 IEEE LIFE SCIENCES CONFERENCE (LSC). IEEE, p. 186-189 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Prediction of preterm infant mortality with Gaussian process classification

Rinta-Koski, O-P., Särkkä, S., Hollmen, J. & Andersson, S., 2017, Proceedings of 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 193-198

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Reliability of temperature signal in various climate indicators from northern Europe

Hari, P., Aakala, T., Hilasvuori, E., Hakkinen, R., Korhola, A., Korpela, M., Linkosalo, T., Makinen, H., Nikinmaa, E., Nöjd, P., Seppä, H. T., Sulkava, M., Terhivuo, J., Tuomenvirta, H., Hollmen, J. & Weckstrom, J., 1 Jun 2017, In : PloS one. 12, 6, p. 1-20 e0180042.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
372 Downloads (Pure)
2016

Environmental control of growth variation in a boreal scots pine stand – A data-driven approach

Kulmala, L., Zliobaite, I., Nikinmaa, E., Nöjd, P., Kolari, P., Koupaei, K. K., Hollmén, J. & Mäkinen, H., 2016, In : Silva Fennica. 50, 5, p. 1-21 1680.

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Explaining mixture models through semantic pattern mining and banded matrix visualization

Adhikari, P. R., Vavpetič, A., Kralj, J., Lavrač, N. & Hollmén, J., Oct 2016, In : Machine Learning. 105, 1, p. 3-39 36 p.

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Focusing business improvements using process mining based influence analysis

Lehto, T., Hinkka, M. & Hollmén, J., 2016, Business Process Management Forum - BPM Forum, 2016, Proceedings. p. 177-192 16 p. (Lecture Notes in Business Information Processing; vol. 260).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)

Labeling sensing data for mobility modeling

Read, J., Zliobaite, I. & Hollmén, J., 1 Apr 2016, In : INFORMATION SYSTEMS. 57, p. 207-222 16 p.

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

Resource frequency prediction in healthcare: Machine learning approach

Vieira, D. & Hollmen, J., 16 Aug 2016, Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016. IEEE, Vol. 2016-August. p. 88-93 6 p. 7545963

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)
2015

Fast progressive training of mixture models for model selection

Adhikari, P. R. & Hollmen, J., 2015, In : JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. 44, 2, p. 223-241

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Optimizing regression models for data streams with missing values

Zliobaite, I. & Hollmen, J., 2015, In : Machine Learning. 99, 1, p. 47-73

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Proceedings of the ECMLPKDD 2015 Doctoral Consortium

Hollmén, J. (ed.) & Papapetrou, P. (ed.), 2015, Espoo: Aalto University School of Science. 272 p. (Aalto University publication series SCIENCE + TECHNOLOGY; vol. 2015, no. 12)

Research output: Book/ReportAnthologyScientificpeer-review

Open Access

Resolution Transfer in Cancer Classification Based on Amplification Patterns

Adhikari, P. R. & Hollmen, J., 2015, 18th International Conference (DS), Banff, AB, Canada, October 4-6, 2015. Springer International Publishing, p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Variation in Oxygen Saturation Measurements in Very Low Birth Weight Infants

Rinta-Koski, O-P., Hollmén, J., Leskinen, M. & Andersson, S., 2015, PErvasive Technologies Related to Assistive Environments (PETRA) 2015, July 01-03 2015, Island of Corfu, Greece. Makedon, F. (ed.). New York, NY, USA: ACM

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2014

A Deep Interpretation of Classifier Chains

Read, J. & Hollmén, J., 2014, International Symposium on Intelligent Data Analysis, IDA 2014, 251-262, October 30 - November 1, 2014, Leuven, Belgium.. p. 251-262

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

13 Citations (Scopus)

Defining a mobile architecture for structural health monitoring

Sakkos, P., Kotsakos, D., Kalogeraki, V., Gunopulos, D. & Hollmén, J., 27 May 2014, Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2014. ACM, Vol. 2014-May.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Explaining mixture models through semantic pattern mining and banded matrix visualization

Adhikari, P. R., Vavpetic, A., Kralj, J., Lavrac, N. & Hollmén, J., 2014, International Conference on Discovery Science, DS2014, 8-10 October, 2014, Bled, Slovenia. Dczeroski, S., Panov, P., Kocev, D. & Todorovski, L. (eds.). Springer Berlin Heidelberg, p. 86-97

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing

Zliobaite, I. & Hollmén, J., 2014, Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), Athens, Greece, March 28, 2014. CEUR, p. 309-314 (Ceur Workshop Proceedings; vol. 1133).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
2 Citations (Scopus)
16 Downloads (Pure)

Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Machines

Sirvio, K. & Hollmén, J., 2014, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014. Bruges, p. 661-666

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Regression models tolerant to massively missing data: a case study in solar radiation nowcasting

Zliobaite, I., Hollmén, J. & Junninen, H., 2014, In : ATMOSPHERIC MEASUREMENT TECHNIQUES DISCUSSIONS. 7, 7, p. 7137-7174

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)

Towards hardware-driven design of low-energy algorithms for data analysis

Zliobaite, I., Hollmen, J., Koskinen, L. & Teittinen, J., 1 Dec 2014, In : SIGMOD RECORD. 43, 4, p. 15-20 6 p.

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
2013

Challenges in predicting community periodontal index from hospital dental care records

Vieira, D., Linden, J., Hollmén, J. & Suni, J., 2013, In : IEEE Symposium on Computer - Based Medical Systems. Proceedings. p. 107-112 6 p., 6627773.

Research output: Contribution to journalArticleScientificpeer-review

Fault tolerant regression for sensor data

Zliobaite, I. & Hollmén, J., 2013, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. p. 449-464

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Mixture Models from Multiresolution 0-1 Data

Adhikari, P. R. & Hollmén, J., 2013, Proceedings of Sixteenth International Conference on Discovery Science (DS 2013). Fürnkranz, J., Hüllermeier, E. & Higuchi, T. (eds.). Berlin Heidelberg, p. 1-16

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

1 Citation (Scopus)
2012

Advances in Intelligent Data Analysis - Proceedings of the 11th International Symposium (IDA 2012)

Hollmén, J., Klawonn, F. & Tucker, A., 2012, Berlin Heidelberg. 426 p.

Research output: Book/ReportAnthologyScientificpeer-review

A Survey of Query-By-Humming Similarity Methods

Kotsifakos, A., Papapetrou, P., Hollmén, J., Gunopulos, D. & Athitsos, V., 2012, PETRA 5th International Conference on Pervasive Technologies and Relative to Assistive Environments (PETRA 2012) PETRA, Creete Island, Greece, June 6-8, 2012. ACM

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

7 Citations (Scopus)

Fast Progressive Training of Mixture Models for Model Selection

Adhikari, P. R. & Hollmén, J., 2012, DS Fifteenth International Conference on Discovery Science (DS 2012) DS, Lyon,France, October 29-31, 2012. J.-G. Ganascia, P. L. & Petit, J-M. (eds.). p. 194-208

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Finding representative objects using link analysis ranking

Papapetrou, P., Chistiakova, T., Hollmén, J., Gunopulos, V. & Kalogeraki, D., 2012, PETRA 5th International Conference on Pervasive Technologies and Relative to Assistive Environments (PETRA 2012) PETRA, Creete Island, Greece, June 6-8, 2012. ACM

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Homozygous Deletions of Cadherin Genes in Chondrosarcoma - an Array CGH Study

Niini, T., Scheinin, I., Lahti, L., Savola, S., Mertens, F., Hollmén, J., Böhling, T., Kivioja, A., Nord, K. H. & Knuutila, S., 2012, In : CANCER GENETICS. 205, 11, p. 588-593

Research output: Contribution to journalArticleScientificpeer-review

Homozygous deletions of cadherin genes in chondrosarcoma-an array comparative genomic hybridization study

Niini, T., Scheinin, I., Lahti, L., Savola, S., Mertens, F., Hollmén, J., Böhling, T., Kivioja, A., Nord, K. H. & Knuutila, S., Nov 2012, In : CANCER GENETICS. 205, 11, p. 588-593 6 p.

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System

Kotsifakos, A., Papapetrou, P., Hollmén, J., Gunopulos, D., Athitsos, V. & Kollios, G., 2012, In : Proceedings of the VLDB Endowment (PVLDB). 4, 11, p. 1930-1933

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Mixture Modeling of Gait Patterns from Sensor Data

Hollmén, J., 2012, PETRA 5th International Conference on Pervasive Technologies and Relative to Assistive Environments (PETRA) PETRA, Creete Island, Greece, Juine 6-8, 2012. ACM

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Multiresolution Mixture Modeling using Merging of Mixture Components

Adhikari, P. R. & Hollmén, J., 2012, Fourth Asian Conference on Machine Learning (ACML 2012), Singapore, November 4-6, 2012. Hoi, S. C. H. & Buntine, W. (eds.). p. 17-32

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Three-way analysis of structural health monitoring data

Prada, M. A. ., Toivola, J., Kullaa, J. & Hollmén, J., 2012, In : Neurocomputing. 80, p. 119-128

Research output: Contribution to journalArticleScientificpeer-review

25 Citations (Scopus)
2011

Advances in Intelligent Data Analysis - Proceedings of the 10th International Symposium (IDA 2011)

Gama, J., Bradley, E. & Hollmen, J., 2011, Porto, Portugal.

Research output: Book/ReportAnthologyScientificpeer-review

ARTEMIS: Assessing the Similarity of Event-Interval Sequences

Kostakis, O., Papapetrou, P. & Hollmén, J., 2011, ECML PKDD The Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2011) ECML PKDD. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). p. 229-244

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

17 Citations (Scopus)