Meelis Kull

21.02.1980
5586405
+447443457753
meelis.kull@gmail.com

Teenistuskäik

Töökohad ja ametid
15.04.2016–...    Tartu Ülikool, Loodus- ja täppisteaduste valdkond, Arvutiteaduse instituut, andmekaeve dotsent (0,10)
01.02.2013–...    University of Bristol, Intelligentsete Süsteemide Labor, vanemteadur (1,00)
01.02.2013–30.06.2014    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, algoritmilise andmeanalüüsi teadur (0,10)
15.07.2011–31.01.2013    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, algoritmilise andmeanalüüsi teadur (1,00)
15.07.2008–14.07.2011    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, teadur (1,00)
01.10.2007–30.06.2008    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, info- ja kommunikatsioonitehnoloogia doktorikooli erakorraline teadur (0,10)
2006–2011    OÜ Quretec, Teadur (0,20)
01.09.2005–31.12.2007    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, erakorraline teadur (0,10)
01.02.2005–30.06.2005    European Bioinformatics Institute (EMBL-EBI, Hinxton Genome Campus, Cambridge, UK), Marie Curie BIOSTAR fellow (1,00)
2004–2006    Eesti Biokeskus, programmeerija (1,00)
 
 
Haridustee
2004–2011    Tartu Ülikool, Matemaatika-informaatika teaduskond, informaatika doktorantuur
2002–2004    Tartu Ülikool, Matemaatika-informaatika teaduskond, informaatika magistrantuur
1998–2002    Tartu Ülikool, Matemaatika-informaatika teaduskond, informaatika eriala (lõpetatud cum laude)
 
 
Teadusorganisatsiooniline ja -administratiivne tegevus
2015−...    AAAI liige (Association for the Advancement of Artificial Intelligence)
2014−...    Programmikomitee liige (retsenseerija) rahvusvahelistel konverentsidel ECML-PKDD 2014, 2015, 2016 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), ICMLA 2015 (International Conference on Machine Learning and Applications) KDD 2015, 2016 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining), NIPS 2016 (Neural Information Processing Systems)
2015−2015    Organiseerimiskomitee liige üritusel 2nd International Workshop on Learning over Multiple Contexts at ECML-PKDD 2015
2015−2015    Organiseerimiskomitee liige üritusel ECML-PKDD Discovery Challenge #1: MoReBikeS – Model Reuse with Bike Rental Station Data
2007−2011    Tartu Ülikooli Arvutiteaduse instituudi nõukogu liige
2005−2007    Tartu Ülikooli Matemaatika-informaatikateaduskonna nõukogu liige
2005−2012    Tartu Ülikooli Matemaatika-informaatika teaduskonna Arvutiteaduse instituudi Bakalaureuse- ja magistritööde komisjonide liige

Kvalifikatsioon

 
 
Teaduspreemiad ja tunnustused
2014, Meelis Kull, Parima artikli auhind konverentsil ECML-PKDD 2014 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) artikli “Reliability maps: a tool to enhance probability estimates and improve classification accuracy” eest
2011, Meelis Kull, Eesti Üliõpilaste teadustööde 2011. aasta riikliku konkursi 2. preemia (doktoritöö eest)
2007, Meelis Kull, EITSA IKT Doktorandi Stipendium
2005, Meelis Kull, Marie Curie BIOSTAR Stipendium (European bioinformatics early-stage training in advanced research, hosted by EMBL European Bioinformatics Institute, Cambridge, UK)
2004, Meelis Kull, Parima stendiettekande auhind rahvusvahelisel konverentsil ISMB'04 (Intelligent Systems for Molecular Biology)
2004, Meelis Kull, Eesti Teaduste Akadeemia 2004.a. Üliõpilastööde II auhind (magistritöö eest)
 
 
Teadustöö põhisuunad
VALDKOND: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS ERIALA: P170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)
VALDKOND: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS ERIALA: P176 Tehisintellekt ; PÕHISUUND: Masinõpe ja andmekaeve

Publikatsioonid

Klass
Aasta
Publikatsioon
 
1.1.
2016
1.1.
2016
3.1.
2016
3.1.
2016
3.1.
2015
3.1.
2015
3.1.
2015
3.1.
2015
3.2.
2015
4.2.
2015
3.1.
2014
3.1.
2014
3.1.
2014
2.3.
2011
1.1.
2010
1.1.
2010
3.1.
2010
1.1.
2009
1.1.
2009
1.1.
2009
1.1.
2008
1.1.
2007
1.1.
2004

Meelis Kull

21.02.1980
5586405
+447443457753
meelis.kull@gmail.com

Career

Institution and occupation
15.04.2016–...    University of Tartu, Faculty of Science and Technology, Institute of Computer Science, Associate Professor in Data Mining (0,10)
01.02.2013–...    University of Bristol, Intelligent Systems Laboratory, senior research associate (1,00)
01.02.2013–30.06.2014    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Research Fellow in Algorithmic Data Analysis (0,10)
15.07.2011–31.01.2013    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Research Fellow in Algorithmic Data Analysis (1,00)
15.07.2008–14.07.2011    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Research Fellow (1,00)
01.10.2007–30.06.2008    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Research Fellow extraordinarius (0,10)
2006–2011    Quretec Ltd, researcher (0,20)
01.09.2005–31.12.2007    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Research Fellow extraordinarius (0,10)
01.02.2005–30.06.2005    European Bioinformatics Institute (EMBL-EBI, Hinxton Genome Campus, Cambridge, UK), Marie Curie BIOSTAR fellow (1,00)
2004–2006    Estonian Biocentre, programmer (1,00)
 
 
Education
2004–2011    University of Tartu, Faculty of Mathematics and Computer Science, computer science doctoral studies
2002–2004    University of Tartu, Faculty of Mathematics and Computer Science, computer science master studies
1998–2002    University of Tartu, Faculty of Mathematics and Computer Science, computer science bachelor studies (graduated cum laude)
 
 
R&D related managerial and administrative work
2015−...    Member of AAAI (Association for the Advancement of Artificial Intelligence)
2014−...    Member of Programme Committee (Reviewer) at international conferences ECML-PKDD 2014, 2015, 2016 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), ICMLA 2015 (International Conference on Machine Learning and Applications) KDD 2015, 2016 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining), NIPS 2016 (Neural Information Processing Systems)
2015−2015    Member of Organising Committee of the 2nd International Workshop on Learning over Multiple Contexts at ECML-PKDD 2015
2015−2015    Member of Organising Committee of the ECML-PKDD Discovery Challenge #1: MoReBikeS – Model Reuse with Bike Rental Station Data
2007−2011    University of Tartu, Department of Computer Science, member of council
2005−2007    University of Tartu, Faculty of Mathematics and Computer Science, member of council
2005−2012    University of Tartu, Institute of Computer Science, Faculty of Mathematics and Informatics, Member of Committee for Bachelor and Master Thesis Defences

Qualifications

 
 
Honours & awards
2014, Meelis Kull, Best Paper Award at the ECML-PKDD 2014 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) for the paper on “Reliability maps: a tool to enhance probability estimates and improve classification accuracy”
2011, Meelis Kull, Second Award of Estonian National Contest for Student Research (for doctoral thesis)
2007, Meelis Kull, Estonian ICT PhD Fellowship
2005, Meelis Kull, Marie Curie BIOSTAR Fellowship (European bioinformatics early-stage training in advanced research, hosted by EMBL European Bioinformatics Institute, Cambridge, UK)
2004, Meelis Kull, Best Poster Award on international conference ISMB'04 (Intelligent Systems for Molecular Biology)
2004, Meelis Kull, Second Award of Estonian Academy of Sciences Contest for Student Research (for master thesis)
 
 
Field of research
FIELD OF RESEARCH: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS SPECIALTY: P170 Computer science, numerical analysis, systems, control
FIELD OF RESEARCH: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS SPECIALTY: P176 Artificial intelligence ; SPECIALITY: Machine learning and data mining
 
 

Publications

Category
Year
Publication
 
1.1.
2016
1.1.
2016
3.1.
2016
3.1.
2016
3.1.
2015
3.1.
2015
3.1.
2015
3.1.
2015
3.2.
2015
4.2.
2015
3.1.
2014
3.1.
2014
3.1.
2014
2.3.
2011
1.1.
2010
1.1.
2010
3.1.
2010
1.1.
2009
1.1.
2009
1.1.
2009
1.1.
2008
1.1.
2007
1.1.
2004
  • Leitud 9 kirjet
ProgrammNumberNimiProjekti algusProjekti lõppVastutav täitjaAsutusRahastamine kokku
ETFETF5722Andmekaevanduse meetodid ja rakendused (DMMA)01.01.200431.12.2006Jaak ViloTartu Ülikool24 652,75 EUR
MUULSHG-CT-2003-503329ATD - The Alternate Transcript Diversity Project01.03.200428.02.2007Jaak ViloEesti Biokeskus112 200,03 EUR
MUUENFIN (LSHG-CT-2005-518254)ENFIN - Süsteemibioloogia15.11.200514.11.2010Jaak ViloOÜ Quretec287 602,42 EUR
ETFETF5724Geeniregulatsiooni bioinformaatika (BiGeR)01.01.200431.12.2007Jaak ViloEesti Biokeskus33 858,74 EUR
SFSF0180008s12Kaasaegsed teadusarvutuste meetodid, platvormid ja rakendused. 01.01.201231.12.2014Jaak ViloTartu Ülikool, Matemaatika-informaatikateaduskond306 870,00 EUR
PUT; PUT_SPPUT1458Liigse enesekindluse vältimine intelligentsetes süsteemides: Teooria ja tarkvara tõenaosuslike klassifikaatorite õppimiseks ja rekalibreerimiseks rakenduskonteksti määramatuse korral01.05.201731.12.2020Meelis KullTartu Ülikool, Loodus- ja täppisteaduste valdkond, Arvutiteaduse instituut49 200,00 EUR
ETFETF7437Paljude geeniekspressiooniandmete ühisanalüüs (MEM)01.01.200831.12.2011Jaak ViloTartu Ülikool, Matemaatika-informaatikateaduskond64 222,50 EUR
SFSF0182712s06Suuremahuliste ja keeruliste arvutusülesannete lahendamise meetodid, arvutuskeskkonnad ja rakendused.01.01.200631.12.2011Jaak ViloTartu Ülikool, Matemaatika-informaatikateaduskond584 274,70 EUR
MUUSMTAT10132EVähitekkega seotud epigeneetiliste signaalide keerukus ja analüüs01.09.201031.12.2010Jaak ViloTartu Ülikool; Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut120 000,00 EUR
  • Leitud 23 kirjet
PublikatsioonKlassifikaatorFail
Nikolaou,Nikolaos;Edakunni,Narayanan;Kull,Meelis;Flach,Peter;Brown,Gavin; (2016). Cost-sensitive boosting algorithms: Do we really need them? Machine Learning, 104 (2), 359−384.10.1007/s10994-016-5572-x.1.1.
Hernández-Orallo, J.; Martinez-Uso, A.; Prudencio, R.B.; Kull, M.; Flach, P.A.; Ahmed, C.F.; Lachiche, N. (2016). Reframing in context: A systematic approach for model reuse in machine learning. AI Communications, 29 (5), 551−566.1.1.
Al-Otaibi, Reem; Kull, Meelis; Flach, Peter; (2016). Declaratively Capturing Local Label Correlations with Multi-Label Trees. In: Kaminka, Gal A.; Fox, Maria; Bouquet, Paolo; Hüllermeier, Eyke; Dignum, Virginia; Dignum, Frank; van Harmelen, Frank; (Ed.). 22nd European Conference on Artificial Intelligence (1467−1475). IOS Press. (Frontiers in Artificial Intelligence and Applications; 285).10.3233/978-1-61499-672-9-1467.3.1.
Song, Hao; Kull, Meelis; Flach, Peter; Kalogridis, Georgios; (2016). Subgroup Discovery with Proper Scoring Rules. In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles (Ed.). Joint European Conference on Machine Learning and Knowledge Discovery in Databases (492−510). Springer International Publishing. (Lecture Notes in Computer Science; 9852).10.1007/978-3-319-46227-1_31.3.1.
Kull, Meelis; Flach, Peter (2015). Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration. Appice, Annalisa; Rodrigues, Pedro; Costa, Vitor; Soares, Carlos; Gama, Joao; Jorge, Alipio. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I (68−85).. Springer International Publishing. (Lecture Notes in Computer Science; 9284).3.1.
Flach, Peter; Kull, Meelis; (2015). Precision-Recall-Gain Curves: PR Analysis Done Right. In: Cortes, C.; Lawrence, N. D.; Lee, D. D.; Sugiyama, M.; Garnett, R.; (Ed.). Advances in Neural Information Processing Systems 28 (NIPS 2015) (838−846). Curran Associates, Inc..3.1.
Ahmed, C.; Samiullah, M.; Lachiche, N.; Kull, M.; Flach, P. (2015). Reframing in Frequent Pattern Mining. In: 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI) (799−806). Institute of Electrical and Electronics Engineers (IEEE).3.1.
Al-Otaibi, Reem; Prudêncio, Ricardo; Kull, Meelis; Flach, Peter (2015). Versatile Decision Trees for Learning Over Multiple Contexts. Appice, Annalisa; Rodrigues, Pedro; Costa, Vitor; Soares, Carlos; Gama, Joao; Jorge, Alipio;. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I (184−199).. Springer International Publishing. (Lecture Notes in Computer Science; 9284).3.1.
Kull, Meelis; Lachiche, Nicolas; Martínez-Usó, Adolfo; (2015). Model Reuse with Bike rental Station data. In: Proceedings of the ECML/PKDD 2015 Discovery Challenges (CEUR-WS.org/Vol-1526/bikes_preamble.pdf). CEUR-WS.org: CEUR-WS.org.3.2.
Martínez-Usó, Adolfo; Mendes-Moreira, João; Moreira-Matias, Luís; Kull, Meelis; Lachiche, Nicolas; (2015). Proceedings of the ECML/PKDD 2015 Discovery Challenges. http://ceur-ws.org/Vol-1526.4.2.
Al-Otaibi, Reem; Kull, Meelis; Flach, Peter (2014). LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion. 2014 13th International Conference on Machine Learning and Applications (ICMLA 2014) (74−79).. Institute of Electrical and Electronics Engineers (IEEE).10.1109/ICMLA.2014.17.3.1.
Millard, Louise; Kull, Meelis; Flach, Peter (2014). Rate-Oriented Point-Wise Confidence Bounds for ROC Curves. Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke; Meo, Rosa;. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II (404−421).. Springer. (Lecture Notes in Computer Science; 8725).3.1.
Kull, Meelis; Flach, Peter (2014). Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy. Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke; Meo, Rosa;. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II (18−33).. Springer. (Lecture Notes in Computer Science; 8725).3.1.
Kull, Meelis (2011). Statistical enrichment analysis in algorithms for studying gene regulation. (Tartu Ülikool). Tartu: Tartu Ülikooli Kirjastus.2.3.
Billon, Nathalie; Kolde, Raivo; Reimand, Juri; Monteiro, Miguel C; Kull, Meelis; Peterson, Hedi; Tretyakov, Konstantin; Adler, Priit; Wdziekonski, Brigitte; Vilo, Jaak; Dani, Christian (2010). Comprehensive transcriptome analysis of mouse embryonic stem cell adipogenesis unravels new processes of adipocyte development. Genome Biology, 11 (8), R80.10.1186/gb-2010-11-8-r80.1.1.
Doss, Michael Xavier ; Wagh, Vilas ; Schulz, Herbert ; Kull, Meelis ; Kolde, Raivo ; Pfannkuche, Kurt ; Nolden, Tobias ; Himmelbauer, Heinz; Vilo, Jaak ; Hescheler, Jürgen ; Sachinidis, Agapios (2010). Global transcriptomic analysis of murine embryonic stem cell-derived brachyury+ (T) cells. Genes to Cells, 15 (3), 209−228.10.1111/j.1365-2443.2010.01390.x.1.1.
Kull, M.; Tretyakov, K.; Vilo, J. (2010). An evolutionary model of DNA substring distribution. In: Elomaa,T.; Mannila, H.; Orponen, P. (Ed.). Algorithms and Applications (147−157).. Berlin / Heidelberg: Springer. (Lecture Notes in Computer Science).10.1007/978-3-642-12476-1_10.3.1.
Koscielny, G.; Le Texier, V.; Gopalakrishnan, C.; Kumanduri, V.; Riethoven, J.-J.; Nardone, F.; Stanley, E.; Fallsehr, C.; Hofmann, O.; Kull, M.; Harrington, E.; .Boué, S.; Eyras, E.; Plass, M.; Lopez, F.; Ritchie, W.; Moucadel, V.; Ara, T.; Pospisil, H.; Herrmann, A. ... Thanaraj, T.A. (2009). ASTD: the Alternative Splicing and Transcript Diversity Database. Genomics, 93 (3), 213−220.10.1016/j.ygeno.2008.11.003.1.1.
Adler, P.; Kolde, R.; Kull, M.; Tkachenko, A.; Peterson, H.; Reimand, J.; Vilo, J. (2009). Mining for coexpression across hundreds of datasets using novel rank aggregation and visualisation methods. Genome Biology, 10 (12), R139.10.1186/gb-2009-10-12-r139.1.1.
Krushevskaya, D.; Peterson, H.; Reimand, J.; Kull, M.; Vilo, J. (2009). VisHiC—hierarchical functional enrichment analysis of microarray data. Nucleic Acids Research, 37, W587−W592.10.1093/nar/gkp435.1.1.
Kull, M.; Vilo, J. (2008). Fast approximate hierarchical clustering using similarity heuristics. BioData Mining, 1 (9), UNSP 9.10.1186/1756-0381-1-9.1.1.
Reimand, J.; Kull, M.; Peterson, H.; Hansen, J., Vilo, J. (2007). g:Profiler – a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Research, 35, W193−W200.10.1093/nar/gkm226.1.1.
Kapushesky, M.; Kemmeren, P.; Culhane, AC.; Durinck, S.; Ihmels, J.; Korner, C.; Kull, M.; Torrente, A.; Sarkans, U.; Vilo, J.; Brazma, A. (2004). Expression Profiler: next generation-an online platform for analysis of microarray data. Nucleic Acids Research, 32, W465−W470.1.1.
  • Leitud 1 kirjet
TüüpPrioriteedi numberPrioriteedi kuupäevPrioriteedi klassifikaatorPealkiriAutoridFailAsutused
Patentne leiutisUS 14/079,62613.11.2013Rahvusvaheline (IPC)Peptiidide profileerimine ja humoraalse immuunsuse monitooringKaia Palm; Lagle Kasak; Anri Kivil; Ave Kris Lend; Toomas Neuman; Arno Pihlak; Anti Alman; Mari-Liis Krupp; Meelis Kull; Balaji Rajashekar; Sulev Reisberg; Martin Sauk; Gerli Viikmaa; Jaak ViloProtobios OÜ
  • Leitud 1 kirjet
AutoridPealkiriAsutus
Jaak Vilo; Raivo Kolde; Priit Adler; Meelis Kull; Jüri Reimand; Hedi PetersonMEM - Multi-Experiment-Matrix Gene expression search database and toolsTartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut