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126

artikkel kogumikus

Estimating quality of transmission in a live production network using machine learningMüller, Jasper; Fehenberger, Tobias; Patri, Sai Kireet; Kaeval, Kaida; Griesser, Helmut; Tikas, Marko; Elbers, Jörg-Peter2021 Optical Fiber Communications Conference and Exhibition (OFC) : 6-10 June 2021 : San Francisco, CA, USA2021 / paper Tu1G.2, 3 p https://ieeexplore.ieee.org/abstract/document/9489940

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127

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Estimating UWB positioning integrity based on ranging residualsTommingas, Mihkel; Ulp, Sander; Alam, Muhammad Mahtab; Müürsepp, Ivo; Laadung, Taavi2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM)2023 / 5 p https://doi.org/10.1109/ICECOM58258.2023.10367954

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128

artikkel ajalehes

Euroopa oma tehismõistusTammet, Tanel; Liiv, InnarSirp2020 / lk. 33-34 : ill https://www.sirp.ee/s1-artiklid/c21-teadus/euroopa-oma-tehismoistus/ https://www.ester.ee/record=b1072938*est

artikkel ajalehes

129

artikkel kogumikus

Evaluating the robustness of ML models to out-of-distribution data through similarity analysisLindén, Joakim; Forsberg, Håkan; Daneshtalab, Masoud; Söderquist, IngemarNew Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings2023 / p. 348 - 359 https://doi.org/10.1007/978-3-031-42941-5_30

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130

artikkel kogumikus EST / artikkel kogumikus ENG

Evaluation of data quality in the Estonian National Health Information System for digital decision supportBertl, Markus; Kankainen, Kristian Juha Ismo; Piho, Gunnar; Draheim, Dirk; Ross, PeeterProceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023) : Leicester, United Kingdom, July 21, 2023. Vol. 34402023 / paper 1, 13 p. : ill https://ceur-ws.org/Vol-3440/paper1.pdf Conference proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG

Seotud publikatsioonid 1

Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

131

artikkel ajakirjas

Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745

artikkel ajakirjas

Seotud publikatsioonid 1

Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal

132

artikkel ajakirjas

Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987

artikkel ajakirjas

Seotud publikatsioonid 1

Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

133

artikkel kogumikus

Evelekt AS turnover forecasting using the machine learning methodReiman, RiidoAI IN BUSINESS : proceedings of the scientific workshop on business implications of artificial intelligence, June 7, 20222022 / p. 58-60 : ill https://www.ester.ee/record=b5506022*est https://digikogu.taltech.ee/et/Item/2096bada-661d-4928-99a7-bfbce51825d8

artikkel kogumikus

134

artikkel ajakirjas

Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physicsTani, Laurits; Rand, Diana; Veelken, Christian; Kadastik, MarioThe European Physical Journal C2021 / art. 170, 9 p. : ill https://doi.org/10.1140/epjc/s10052-021-08950-y

artikkel ajakirjas

Seotud publikatsioonid 1

Measurement of Higgs boson properties in leptonic final states using ML-methods = Higgsi bosoni omaduste mõõtmine leptoneid sisaldavates kanalites kasutades masinõppe meetodeid

135

artikkel ajakirjas

Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics : [preprint]Tani, Laurits; Rand, Diana; Veelken, Christian; Kadastik, MarioarXiv.org2021 / 11 p. : ill https://doi.org/10.48550/arXiv.2011.04434

artikkel ajakirjas

Seotud publikatsioonid 1

Measurement of Higgs boson properties in leptonic final states using ML-methods = Higgsi bosoni omaduste mõõtmine leptoneid sisaldavates kanalites kasutades masinõppe meetodeid

136

artikkel ajakirjas EST / artikkel ajakirjas ENG

An exhaustive multi-aspect analysis of swarm intelligence algorithms in numerical association rule miningKaushik, Minakshi; Sharma, Rahul; Koiva, Pilleriin; Fister, Iztok; Draheim, DirkIEEE Access2024 / p. 138985 - 139002 https://doi.org/10.1109/ACCESS.2024.3417334 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

137

artikkel kogumikus

Experimental demonstration of ML-based DWDM system margin estimationMüller, Jasper; Slyne, Frank; Kaeval, Kaida; Troia, Sebastian; Fehenberger, Tobias; Elbers, Jörg-Peter; Kilper, Daniel C.; Ruffini, Marco; Mas-Machuca, CarmenOptical Fiber Communications Conference and Exhibition, OFC 2023 : Proceedings2023 / paper Tu2F.2., 3 p. : ill https://opg.optica.org/abstract.cfm?URI=OFC-2023-Tu2F.2

artikkel kogumikus

138

artikkel kogumikus

An experimental pipeline for automated reasoning in natural language (short paper)Tammet, Tanel; Järv, Priit; Verrev, Martin; Draheim, DirkAutomated Deduction – CADE 29, 29th International Conference on Automated Deduction, Rome, Italy, July 1–4, 2023 : proceedings2023 / p. 509-521 https://doi.org/10.1007/978-3-031-38499-8_29 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus

139

artikkel kogumikus EST / artikkel kogumikus ENG

Experiments with LLMs for converting language to logicTammet, Tanel; Järv, Priit; Verrev, Martin; Draheim, DirkNeural-Symbolic Learning and Reasoning : 18th International Conference, NeSy 2024, Barcelona, Spain, September 9–12, 2024, Proceedings, Part II2024 / p. 305 - 314 https://doi.org/10.1007/978-3-031-71170-1_24 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG

140

artikkel ajakirjas EST / artikkel ajakirjas ENG

Experts still needed : boosting long-term android malware detection with active learningGuerra-Manzanares, Alejandro; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2024 / p. 901 - 918 https://doi.org/10.1007/s11416-024-00536-y Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

141

artikkel ajakirjas EST / artikkel ajakirjas ENG

Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI)Meas, Molika; Machlev, Ram; Köse, Ahmet; Tepljakov, Aleksei; Loo, Lauri; Levron, Yoash; Petlenkov, Eduard; Belikov, JuriSensors2022 / art. 6338 : ill https://doi.org/10.3390/s22176338 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

142

artikkel ajakirjas EST / artikkel ajakirjas ENG

Explainability-based trust algorithm for electricity price forecasting modelsHeistrene, Leena; Machlev, Ram; Perl, Michael; Belikov, Juri; Baimel, Dmitry; Levy, Kfir; Mannor, Shie; Levron, YoashEnergy and AI2023 / art 100259, 18 p https://doi.org/10.1016/j.egyai.2023.100259 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

143

artikkel kogumikus

Explainable AI based fault detection and diagnosis system for air handling unitsBelikov, Juri; Meas, Molika; Machlev, Ram; Köse, Ahmet; Tepljakov, Aleksei; Loo, Lauri; Petlenkov, Eduard; Levron, YoashProceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO, 2022 , Lisbon, Portugal2022 / p. 271-279 https://doi.org/10.5220/0011350000003271

artikkel kogumikus

144

artikkel ajakirjas EST / artikkel ajakirjas ENG

Explaining the decisions of power quality disturbance classifiers using latent space featuresMachlev, Ram; Perl, Michael; Caciularu, Avi; Belikov, Juri; Levy, Kfir Yehuda; Levron, YoashInternational journal of electrical power & energy systems2023 / art. 108949 https://doi.org/10.1016/j.ijepes.2023.108949 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

145

artikkel kogumikus

Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Ansari, Mohammad Saeed; Jenihhin, Maksim; Mahani, Ali; Daneshtalab, Masoud; Raik, Jaan25th International Symposium on Quality Electronic Design (ISQED)2025 / 8 p. : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372

artikkel kogumikus

Seotud publikatsioonid 1

Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

146

artikkel kogumikus

Extracting ontologies from relational databasesAstrova, IrinaProceedings of the 22nd IASTED International Conference on Databases and Applications (DBA)2004 / p. 56-61 https://spiral.imperial.ac.uk/bitstream/10044/1/52670/7/FAIA291-0043.pdf

artikkel kogumikus

147

artikkel kogumikus

Fall detection and activity recognition system for usage in smart work-wear [Online resource]Leier, Mairo; Jervan, Gert; Allik, Ardo; Pilt, Kristjan; Karai, Deniss; Fridolin, IvoBEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 20182018 / 4 p.: ill https://doi.org/10.1109/BEC.2018.8600959

artikkel kogumikus

148

artikkel ajakirjas EST / artikkel ajakirjas ENG

FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networksManzoor, Habib Ullah; Khan, Ahsan Raza; Flynn, David; Alam, Muhammad Mahtab; Akram, Muhammad; Imran, Muhammad Ali; Zoha, AhmedSensors2023 / art. 3570 https://doi.org/10.3390/s23073570 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

149

artikkel kogumikus EST / artikkel kogumikus ENG

Finding Potential Phase Change Materials Among Ionic Liquids with The Aid of Machine Learning ModelKaljusmaa, Liisa-Maria; Järvik, OliverConference Book : International Conference in Chemistry and Chemical Technology2023 / p. 71 https://www.cct2023.chgf.vu.lt/images/2023/CCT_2023_Conference_book.pdf

artikkel kogumikus EST / artikkel kogumikus ENG

150

artikkel kogumikus

Forecasting demand-side flexibility of a household with dynamic consumer behavior analysisShahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, TarmoIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2024) : proceedings2024 / 5 p https://doi.org/10.1109/ISGTEUROPE62998.2024.10863005

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