Výsledky vyhľadávania
Názov Accuracy assessment of various supervised machine learning algorithms in litho-facies classification from seismic data in the Penobscot field, Scotian Basin Aut.údaje Satya Narayan ... [et al.] Autor Narayan Satya (30%)
Spoluautori Konka Suresh (15%)
Chandra Akash (10%)
Abdelrahman Kamal (5%)
Andráš Peter 1953- (30%) UMBFP01 - Katedra geografie a geológie
Eldosouky Ahmed M. (10%)
Zdroj.dok. Frontiers in Earth Science. Vol. 11 (2023), pp. [1-14]. - Lausanne : Frontiers Media S.A., 2023 Kľúč.slová strojové učenie - machine learning validácia uhľovodíky Heslá geogr. Škótsko Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Švajčiarsko URL Link na plný text Kategória publikačnej činnosti ADC Číslo archívnej kópie 53323 Kategória ohlasu 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.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika 
článok
Názov Decision trees in proper edge k-coloring of cubic graphs Aut.údaje Adam Dudáš, Bianka Modrovičová Autor Dudáš Adam 1992- (50%) UMBFP05 - Katedra informatiky
Spoluautori Modrovičová Bianka (50%)
Zdroj.dok. 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 Kľúč.slová rozhodovacie stromy - decision trees umelá inteligencia - artificial intelligence strojové učenie - machine learning kubické grafy - cubic charts Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Fínsko URL Link na zdrojový dokument Kategória publikačnej činnosti AFD Číslo archívnej kópie 53274 Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ článok
Názov Causal mediation analysis with double machine learning Aut.údaje Helmut Farbmacher ... [et al.] Autor Farbmacher Helmut (20%)
Spoluautori Huber Martin (20%)
Lafférs Lukáš 1986- (20%) UMBFP10 - Katedra matematiky
Langen Henrika (20%)
Spindler Martin (20%)
Zdroj.dok. The Econometrics Journal. Vol. 25, no. 2 (2022), pp. 277-300. - Londýn : Royal Economic Society, 2022 Kľúč.slová matematické metódy - mathematical methods ekonomika - economics strojové učenie - machine learning analýza kauzálneho sprostredkovania - causal mediation analysis Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Veľká Británia Anotácia 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 Kategória publikačnej činnosti ADC Číslo archívnej kópie 51676 Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika článok
Názov Evaluating (weighted) dynamic treatment effects by double machine learning Aut.údaje Hugo Bodory, Martin Huber, Lukáš Laffers Autor Bodory Hugo (34%)
Spoluautori Huber Martin (33%)
Lafférs Lukáš 1986- (33%) UMBFP10 - Katedra matematiky
Zdroj.dok. The Econometrics Journal. Vol. 25, no. 3 (2022), pp. 628-648. - Londýn : Royal Economic Society, 2022 Kľúč.slová strojové učenie - machine learning intervencie Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Veľká Británia Anotácia 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 Kategória publikačnej činnosti ADC Číslo archívnej kópie 52191 Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika článok
Názov Research on predictive model based on classification with parameters of optimization Aut.údaje T. Gulzat ... [et al.] Autor Gulzat Turken (10%)
Spoluautori Naizabayeva Lyazat (20%)
Siládi Vladimír 1970- (50%) UMBFP05 - Katedra informatiky
Gulbakyt Sembina (10%)
Satymbekov Maxatbek (10%)
Zdroj.dok. 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 Kľúč.slová strojové učenie - machine learning prediktívne modelovanie dolovanie dát - data mining rozhodovacie stromy - decision trees Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Česká republika URL Link na plný text Kategória publikačnej činnosti ADC Číslo archívnej kópie 49637 Kategória ohlasu 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.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika článok
Názov A Chatbot based on deep neural network and public cloud services with TJBot interface Aut.údaje Michal Povinský, Miroslav Melicherčík, Vladimír Siládi Autor Povinský Michal 1990- (34%)
Spoluautori Melicherčík Miroslav 1984- (33%) UMBFP05 - Katedra informatiky
Siládi Vladimír 1970- (33%) UMBFP05 - Katedra informatiky
Zdroj.dok. 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 Kľúč.slová neurónové siete - neural networks strojové učenie - machine learning cloudové služby - cloud services informatika - informatics technika - technique - technology 21. stor. - 21. storočie - 21st century Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Spojené štáty Kategória publikačnej činnosti AFD Číslo archívnej kópie 46496 Kategória ohlasu 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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