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Title Accuracy assessment of various supervised machine learning algorithms in litho-facies classification from seismic data in the Penobscot field, Scotian Basin Author info Satya Narayan ... [et al.] Author Narayan Satya (30%)
Co-authors Konka Suresh (15%)
Chandra Akash (10%)
Abdelrahman Kamal (5%)
Andráš Peter 1953- (30%) UMBFP01 - Katedra geografie a geológie
Eldosouky Ahmed M. (10%)
Source document Frontiers in Earth Science. Vol. 11 (2023), pp. [1-14]. - Lausanne : Frontiers Media S.A., 2023 Keywords strojové učenie - machine learning validácia uhľovodíky Headings Geogr. Škótsko Form. Descr. články - journal articles Language English Country Switzerland URL Link na plný text Public work category ADC No. of Archival Copy 53323 Repercussion category KADRI, Mohamed Mehdi - GANGULI, Shib Sankar - SEN, Souvik - HACINI, Messaoud - KUMAR, Prakash. Characterization and feature ranking of well log variables using data-driven algorithms for total organic carbon estimation of organic-rich shales. In Energy and fuels. ISSN 0887-0624, 2023, vol. 37, no. 24, pp. 19575-19589.
CHANG, Jinyu - ZHANG, Nannan - ZHOU, Kefa - TAO, Jintao - CHEN, Li - ZHANG, Hao - CHI, Yujin. Apriori algorithm-based three-dimensional mineral prospectivity mapping-an example from meiling south area, Xinjiang, China. In Minerals. ISSN 2075-163X, 2023, vol. 13, no. 7, pp. 1-29.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika 
article
Title Decision trees in proper edge k-coloring of cubic graphs Author info Adam Dudáš, Bianka Modrovičová Author Dudáš Adam 1992- (50%) UMBFP05 - Katedra informatiky
Co-authors Modrovičová Bianka (50%)
Source document Proceedings of the 33rd Conference of Open Innovations Association FRUCT. Pp. 21-29. - [S.l.] : FRUCT Oy, 2023 ; Conference of Open Innovations Association FRUCT konferencia Keywords rozhodovacie stromy - decision trees umelá inteligencia - artificial intelligence strojové učenie - machine learning kubické grafy - cubic charts Form. Descr. príspevky v zborníku - proceedings papers Language English Country Finland URL Link na zdrojový dokument Public work category AFD No. of Archival Copy 53274 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ article
Title Causal mediation analysis with double machine learning Author info Helmut Farbmacher ... [et al.] Author Farbmacher Helmut (20%)
Co-authors Huber Martin (20%)
Lafférs Lukáš 1986- (20%) UMBFP10 - Katedra matematiky
Langen Henrika (20%)
Spindler Martin (20%)
Source document The Econometrics Journal. Vol. 25, no. 2 (2022), pp. 277-300. - Londýn : Royal Economic Society, 2022 Keywords matematické metódy - mathematical methods ekonomika - economics strojové učenie - machine learning analýza kauzálneho sprostredkovania - causal mediation analysis Form. Descr. články - journal articles Language English Country Great Britian Annotation This paper combines causal mediation analysis with double machine learning for a data-driven control of observed confounders in a high-dimensional setting. The average indirect effect of a binary treatment and the unmediated direct effect are estimated based on efficient score functions, which are robust with respect to misspecifications of the outcome, mediator, and treatment models. This property is key for selecting these models by double machine learning, which is combined with data splitting to prevent overfitting. We demonstrate that the effect estimators are asymptotically normal and n−1/2-consistent under specific regularity conditions and investigate the finite sample properties of the suggested methods in a simulation study when considering lasso as machine learner. We also provide an empirical application to the US National Longitudinal Survey of Youth, assessing the indirect effect of health insurance coverage on general health operating via routine checkups as mediator, as well as the direct effect. URL Link na plný text Public work category ADC No. of Archival Copy 51676 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika article
Title Evaluating (weighted) dynamic treatment effects by double machine learning Author info Hugo Bodory, Martin Huber, Lukáš Laffers Author Bodory Hugo (34%)
Co-authors Huber Martin (33%)
Lafférs Lukáš 1986- (33%) UMBFP10 - Katedra matematiky
Source document The Econometrics Journal. Vol. 25, no. 3 (2022), pp. 628-648. - Londýn : Royal Economic Society, 2022 Keywords strojové učenie - machine learning intervencie Form. Descr. články - journal articles Language English Country Great Britian Annotation We consider evaluating the causal effects of dynamic treatments, i.e.. of multiple treatment sequences in various periods, based on double machine learning to control for observed, time-varying covariates in a data-driven way under a selection-on-observables assumption. To this end, we make use of so-called Neyman-orthogonal score functions, which imply the robustness of treatment effect estimation to moderate (local) misspecifications of the dynamic outcome and treatment models. This robustness property permits approximating outcome and treatment models by double machine learning even under high-dimensional covariates. In addition to effect estimation for the total population, we consider weighted estimation that permits assessing dynamic treatment effects in specific subgroups. e.g.. among those treated in the first treatment period. We demonstrate that the estimators are asymptotically normal and root n-consistent under specific regularity conditions and investigate their finite sample properties in a simulation study. Finally, we apply the methods to the Job Corps study. URL Link na zdrojový dokument Public work category ADC No. of Archival Copy 52191 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika article
Title Research on predictive model based on classification with parameters of optimization Author info T. Gulzat ... [et al.] Author Gulzat Turken (10%)
Co-authors Naizabayeva Lyazat (20%)
Siládi Vladimír 1970- (50%) UMBFP05 - Katedra informatiky
Gulbakyt Sembina (10%)
Satymbekov Maxatbek (10%)
Source document Neural Network World : international journal on non-standard computing and artificial intelligence. Vol. 30, no. 5 (2020), pp. 295-308. - Prague : Czech Technical University in Prague, 2020 Keywords strojové učenie - machine learning prediktívne modelovanie dolovanie dát - data mining rozhodovacie stromy - decision trees Form. Descr. články - journal articles Language English Country Czech Republic URL Link na plný text Public work category ADC No. of Archival Copy 49637 Repercussion category KOVANDA, J. - RULC, V. Pre-crash control strategy of driver assistance system. In Neural network world. ISSN 1210-0552, 2021, vol. 31, no. 1, pp. 77-88.
PAL, Swades - PAUL, Satyajit - DEBANSHI, Sandipta. Identifying sensitivity of factor cluster based gully erosion susceptibility models. In Environmental science and pollution research. ISSN 0944-1344, 2022, vol. 29, no. 60, pp. 90964-90983.
GENANGELI, Andrea - ALLASIA, Giorgio - BINDI, Marco - CANTINI, Claudio - CAVALIERE, Alice - GENESIO, Lorenzo - GIANNOTTA, Giovanni - MIGLIETTA, Franco - GIOLI, Beniamino. A novel hyperspectral method to detect moldy core in apple fruits. In Sensors. ISSN 1424-8220, 2022, vol. 22, no. 12, pp. 1-15.
SETIAWAN, Johan - ALAMSARI, Risanti Galuh. Prediction of work from home post COVID-19 using classification model. In 7th international conference on informatics and computing : ICIC 2022, virtual, 08th-09th December 2022. Piscataway : Institute of electrical and electronics engineers, 2022. ISBN 979-8-3503-4571-1, pp. 410-415.
SABINA, Rakhmetulayeva - ZARINA, Syrymbet. Convolutional neural network analysis of fundus for glaucoma diagnosis. In International conference on smart information systems and technologies : SIST 2022, Nur-Sultan, 28th-30th April 2022. Piscataway : Institute of electrical and electronics engineers, 2022. ISBN 978-166546790-2, pp. 1-6.
MADHAG, Aqeel - DHAAM, Haidar Zaeer. Satellite vibration effects on communication quality of OISN system. In Open engineering. ISSN 2391-5439, 2022, vol. 12, no. 1, pp. 1113-1125.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika article
Title A Chatbot based on deep neural network and public cloud services with TJBot interface Author info Michal Povinský, Miroslav Melicherčík, Vladimír Siládi Author Povinský Michal 1990- (34%)
Co-authors Melicherčík Miroslav 1984- (33%) UMBFP05 - Katedra informatiky
Siládi Vladimír 1970- (33%) UMBFP05 - Katedra informatiky
Source document IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. Pp. 327-332. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Keywords neurónové siete - neural networks strojové učenie - machine learning cloudové služby - cloud services informatika - informatics technika - technique - technology 21. stor. - 21. storočie - 21st century Form. Descr. príspevky v zborníku - proceedings papers Language English Country United States of America Public work category AFD No. of Archival Copy 46496 Repercussion category KARN, Arodh Lal - WEBBER, Julian L. - MEHBODNIYA, Abolfazl - STALIN DAVID, D. - SUBRAMANIAM, Balu - RANGASAMY, Rajasekar - SENGAN, Sudhakar. Evaluation and language training of multinational enterprises employees by deep learning in cloud manufacturing resources. In 10th international conference on innovations in computer science and engineering : ICICSE 2022, Hyderabad, 16th-17th September 2022. Berlin : Springer science and business media Deutschland, 2023. ISBN 978-981197454-0, pp. 369-380.
ANILKUMAR, Chunduru - SREE DEVI, K. Dhana - SETHY, Abhisek. Development of conversational assistant in educational support system using IBM Watson. In Tianjin Daxue xuebao [online]. 2022, vol. 55, no. 2, pp. 359-368 [cit. 2024-02-21]. ISSN 0493-2137. Dostupné na: https://tianjindaxuexuebao.com/dashboard/uploads/27.%20RFJXV.pdf
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