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294 results on '"Smirnov, Evgueni"'

1. Course Recommender Systems with Statistical Confidence

Author

Warnes, Zachary and Smirnov, Evgueni

Abstract

Selecting courses in an open-curriculum education program is a difficult task for students and academic advisors. Course recommendation systems nowadays can be used to reduce the complexity of this task. To control the recommendation error, we argue that course recommendations need to be provided together with "statistical" confidence. The latter can be used for computing a statistically valid set of recommended courses that contains courses a student is likely to take with a probability of at least 1-[epsilon] for a user-specified significance level [epilsilon]. For that purpose, we introduce a generic algorithm for course recommendation based on the conformal prediction framework. The algorithm is used for implementing two conformal course recommender systems. Through experimentation, we show that these systems accurately suggest courses to students while maintaining statistically valid sets of courses recommended. [For the full proceedings, see ED607784.]

Published
2020

2. Multi-view Semi-supervised Learning Using Privileged Information

Author

Smirnov, Evgueni, Delava, Richard, Diris, Ron, Nikolaev, Nikolay, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Cuzzocrea, Alfredo, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Slezak, Dominik, Editorial Board Member, Washio, Takashi, Editorial Board Member, Yang, Xiaokang, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Iliadis, Lazaros, editor, Maglogiannis, Ilias, editor, Alonso, Serafin, editor, Jayne, Chrisina, editor, and Pimenidis, Elias, editor

Published
2023
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3. Interpretable and Reliable Rule Classification Based on Conformal Prediction

Author

Abdelqader, Husam, Smirnov, Evgueni, Pont, Marc, Geijselaers, Marciano, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Koprinska, Irena, editor, Mignone, Paolo, editor, Guidotti, Riccardo, editor, Jaroszewicz, Szymon, editor, Fröning, Holger, editor, Gullo, Francesco, editor, Ferreira, Pedro M., editor, Roqueiro, Damian, editor, Ceddia, Gaia, editor, Nowaczyk, Slawomir, editor, Gama, João, editor, Ribeiro, Rita, editor, Gavaldà, Ricard, editor, Masciari, Elio, editor, Ras, Zbigniew, editor, Ritacco, Ettore, editor, Naretto, Francesca, editor, Theissler, Andreas, editor, Biecek, Przemyslaw, editor, Verbeke, Wouter, editor, Schiele, Gregor, editor, Pernkopf, Franz, editor, Blott, Michaela, editor, Bordino, Ilaria, editor, Danesi, Ivan Luciano, editor, Ponti, Giovanni, editor, Severini, Lorenzo, editor, Appice, Annalisa, editor, Andresini, Giuseppina, editor, Medeiros, Ibéria, editor, Graça, Guilherme, editor, Cooper, Lee, editor, Ghazaleh, Naghmeh, editor, Richiardi, Jonas, editor, Saldana, Diego, editor, Sechidis, Konstantinos, editor, Canakoglu, Arif, editor, Pido, Sara, editor, Pinoli, Pietro, editor, Bifet, Albert, editor, and Pashami, Sepideh, editor

Published
2023
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6. Integrating multiplex immunofluorescent and mass spectrometry imaging to map myeloid heterogeneity in its metabolic and cellular context

Author

Goossens, Pieter, Lu, Chang, Cao, Jianhua, Gijbels, Marion J., Karel, Joël M.H., Wijnands, Erwin, Claes, Britt S.R., Fazzi, Gregorio E., Hendriks, Tim F.E., Wouters, Kristiaan, Smirnov, Evgueni, van Zandvoort, Marc J.M., Balluff, Benjamin, Cuypers, Eva, Donners, Marjo M.P.C., Heeren, Ron M.A., and Biessen, Erik A.L.

Published
2022
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7. Shapley-Value Data Valuation for Semi-supervised Learning

Author

Courtnage, Christie, Smirnov, Evgueni, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Soares, Carlos, editor, and Torgo, Luis, editor

Published
2021
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8. The structure of a 3D flow with local turbulence in the branching juncture of a circular-section channel

Author

Gataulin Yakov, Smirnov Evgueni, Molochnikov Valery, and Mikheev Andrei

Subjects
blood flow branching, local turbulence, large eddy simulation, siv measurements, Mathematics, QA1-939, Physics, QC1-999
Abstract

The paper presents the results of a computational and experimental studies of a flow with local turbulence in the branching juncture of a channel with a round cross-section for the inlet Reynolds number Re = 1475 and for equal flow rates in two branches. The numerical solution of the problem has been obtained by the LES technique using the Germano – Lilli dynamic model for estimating the subgrid viscosity. The experiment used the SIV method. The calculated and experimental data in agreement showed that a jet-flow zone and a recirculation one were distinguished in the flow, directly in the branching juncture both in the forward and in the side channels. Turbulent stresses were significant in magnitude only in the channel section about four gauges long. Downstream, the flow in both channels was relaminarized.

Published
2022
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13. Heterogeneous Domain Adaptation Based on Class Decomposition Schemes

Author

Ismailoglu, Firat, Smirnov, Evgueni, Peeters, Ralf, Zhou, Shuang, Collins, Pieter, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Phung, Dinh, editor, Tseng, Vincent S., editor, Webb, Geoffrey I., editor, Ho, Bao, editor, Ganji, Mohadeseh, editor, and Rashidi, Lida, editor

Published
2018
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16. Improving Card Fraud Detection Through Suspicious Pattern Discovery

Author

Braun, Fabian, Caelen, Olivier, Smirnov, Evgueni N., Kelk, Steven, Lebichot, Bertrand, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Benferhat, Salem, editor, Tabia, Karim, editor, and Ali, Moonis, editor

Published
2017
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18. Decision Trees for Instance Transfer

Author

Zhou, Shuang, Smirnov, Evgueni, Schoenmakers, Gijs, Peeters, Ralf, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gammerman, Alexander, editor, Luo, Zhiyuan, editor, Vega, Jesús, editor, and Vovk, Vladimir, editor

Published
2016
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19. Ranking Accuracy for Logistic-GEE Models

Author

Davarzani, Nasser, Peeters, Ralf, Smirnov, Evgueni, Karel, Joël, Brunner-La Rocca, Hans-Peter, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Boström, Henrik, editor, Knobbe, Arno, editor, Soares, Carlos, editor, and Papapetrou, Panagiotis, editor

Published
2016
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20. Instance-Based Decompositions of Error Correcting Output Codes

Author

Ismailoglu, Firat, Smirnov, Evgueni, Nikolaev, Nikolay, Peeters, Ralf, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Schwenker, Friedhelm, editor, and Roli, Fabio, editor

Published
2015
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21. Fractional Programming Weighted Decoding for Error-Correcting Output Codes

Author

Ismailoglu, Firat, Sprinkhuizen-Kuyper, I. G., Smirnov, Evgueni, Escalera, Sergio, Peeters, Ralf, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Schwenker, Friedhelm, editor, and Roli, Fabio, editor

Published
2015
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22. Novel concept to guide systolic heart failure medication by repeated biomarker testing—results from TIME-CHF in context of predictive, preventive, and personalized medicine

Author

Davarzani, Nasser, Sanders-van Wijk, Sandra, Maeder, Micha T., Rickenbacher, Peter, Smirnov, Evgueni, Karel, Joël, Suter, Thomas, de Boer, Rudolf A., Block, Dirk, Rolny, Vinzent, Zaugg, Christian, Pfisterer, Matthias E., Peeters, Ralf, Brunner-La Rocca, Hans-Peter, and for the TIME-CHF investigators

Published
2018
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24. In Memoriam – Alexander I. Leontiev

Author

Alekseenko, Sergey, primary, Lloyd, John, additional, Alifanov, Oleg, additional, Markovich, Dmitry, additional, Cheng, Ping, additional, Medvetskaya, Natalia, additional, Dombrovsky, Leonid, additional, Rose, John, additional, Egorov, Ivan, additional, Simon, Terrence, additional, Goldstein, Richard, additional, Smirnov, Evgueni, additional, Hanjalic, Kemal, additional, Terekhov, Victor, additional, Howell, John, additional, Varaksin, Aleksey, additional, Isaev, Sergey, additional, and Zhao, Tianshou, additional

Published
2023
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28. Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data

Author

Donovan, Shauna D.O., Cavill, Rachel, Wimmenauer, Florian, Lukas, Alexander, Stumm, Tobias, Smirnov, Evgueni, Lenz, Michael, Ertaylan, Gokhan, Jennen, Danyel G.J., van Riel, Natal A.W., Driessens, Kurt, Peeters, Ralf L.M., de Kok, Theo M.C.M., Donovan, Shauna D.O., Cavill, Rachel, Wimmenauer, Florian, Lukas, Alexander, Stumm, Tobias, Smirnov, Evgueni, Lenz, Michael, Ertaylan, Gokhan, Jennen, Danyel G.J., van Riel, Natal A.W., Driessens, Kurt, Peeters, Ralf L.M., and de Kok, Theo M.C.M.

Abstract

The liver is the primary site for the metabolism and detoxification of many compounds, including pharmaceuticals. Consequently, it is also the primary location for many adverse reactions. As the liver is not readily accessible for sampling in humans; rodent or cell line models are often used to evaluate potential toxic effects of a novel compound or candidate drug. However, relating the results of animal and in vitro studies to relevant clinical outcomes for the human in vivo situation still proves challenging. In this study, we incorporate principles of transfer learning within a deep artificial neural network allowing us to leverage the relative abundance of rat in vitro and in vivo exposure data from the Open TG-GATEs data set to train a model to predict the expected pattern of human in vivo gene expression following an exposure given measured human in vitro gene expression. We show that domain adaptation has been successfully achieved, with the rat and human in vitro data no longer being separable in the common latent space generated by the network. The network produces physiologically plausible predictions of human in vivo gene expression pattern following an exposure to a previously unseen compound. Moreover, we show the integration of the human in vitro data in the training of the domain adaptation network significantly improves the temporal accuracy of the predicted rat in vivo gene expression pattern following an exposure to a previously unseen compound. In this way, we demonstrate the improvements in prediction accuracy that can be achieved by combining data from distinct domains.

Published
2023

29. Towards Explainable Linguistic Summaries

Author

Wrede, Carla, Winands, Mark H.M., Smirnov, Evgueni, Wilbik, Anna, Wrede, Carla, Winands, Mark H.M., Smirnov, Evgueni, and Wilbik, Anna

Abstract

As more AI solutions are implemented in every aspect of our lives, the need for Explainable Artificial Intelligence (XAI) rises. Explanations can have different forms, such as a number (or an equation), a figure, or a text. This paper investigates textual explanations to effectively communicate the reason for a decision made by an AI system. In previous works, linguistic summaries, as an example of a textual explanation, have already been tested and shown to have explanatory potential. In this paper, we explore this topic further and present a roadmap for linguistic summaries to become a proper XAI tool as Explainable Linguistic Summaries (XLSs). We discuss the challenges that an XLS has to overcome. We outline possible solutions and state their consequences. We consider different protoforms, the definition of the membership function, heuristics for the selection of XLS and personalizing the explanations as well as options to gain more insights into the explanations.

Published
2023

31. Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data.

Author

O'Donovan, Shauna D., Cavill, Rachel, Wimmenauer, Florian, Lukas, Alexander, Stumm, Tobias, Smirnov, Evgueni, Lenz, Michael, Ertaylan, Gokhan, Jennen, Danyel G. J., van Riel, Natal A. W., Driessens, Kurt, Peeters, Ralf L. M., and de Kok, Theo M. C. M.

Subjects
GENE expression, HUMAN genes, POISONS, RATS, DRUG side effects, DEEP learning
Abstract

The liver is the primary site for the metabolism and detoxification of many compounds, including pharmaceuticals. Consequently, it is also the primary location for many adverse reactions. As the liver is not readily accessible for sampling in humans; rodent or cell line models are often used to evaluate potential toxic effects of a novel compound or candidate drug. However, relating the results of animal and in vitro studies to relevant clinical outcomes for the human in vivo situation still proves challenging. In this study, we incorporate principles of transfer learning within a deep artificial neural network allowing us to leverage the relative abundance of rat in vitro and in vivo exposure data from the Open TG-GATEs data set to train a model to predict the expected pattern of human in vivo gene expression following an exposure given measured human in vitro gene expression. We show that domain adaptation has been successfully achieved, with the rat and human in vitro data no longer being separable in the common latent space generated by the network. The network produces physiologically plausible predictions of human in vivo gene expression pattern following an exposure to a previously unseen compound. Moreover, we show the integration of the human in vitro data in the training of the domain adaptation network significantly improves the temporal accuracy of the predicted rat in vivo gene expression pattern following an exposure to a previously unseen compound. In this way, we demonstrate the improvements in prediction accuracy that can be achieved by combining data from distinct domains. [ABSTRACT FROM AUTHOR]

Published
2023
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33. Blood Milieu in Acute Myocardial Infarction Reprograms Human Macrophages for Trauma Repair

Author

Fontaine, Margaux A. C., primary, Jin, Han, additional, Gagliardi, Mick, additional, Rousch, Mat, additional, Wijnands, Erwin, additional, Stoll, Monika, additional, Li, Xiaofei, additional, Schurgers, Leon, additional, Reutelingsperger, Chris, additional, Schalkwijk, Casper, additional, van den Akker, Nynke M. S., additional, Molin, Daniel G.M., additional, Gullestad, Lars, additional, Eritsland, Jan, additional, Hoffman, Pavel, additional, Skjelland, Mona, additional, Andersen, Geir Ø., additional, Aukrust, Pål, additional, Karel, Joël, additional, Smirnov, Evgueni, additional, Halvorsen, Bente, additional, Temmerman, Lieve, additional, and Biessen, Erik A.L., additional

Published
2022
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34. In Memoriam: Richard J. Goldstein

Author

Madanan, Umesh, Lipiński, Wojciech, Simon, Terrence W., Aksan, Alptekin, Arinç, Faruk, Bayazitoglu, Yildiz, Bischof, John, Cervantes, Jaime, Cheng, Ping, Coelho, Pedro J.M., Cotta, Renato M., Cumo, Maurizio, Davidson, Jane H., Dembele, Siaka, Di Marco, Paolo, Dombrovsky, Leonid A., Egorov, Ivan V., Fisher, Tim, Fletcher, L.S. “Skip”, Girshick, Steven, Grigoropoulos, Costas, Gross, Ulrich, Hanjalic, Kemal, Hernandez-Guerrero, Abel, Howell, John R., Isaev, Sergey, Jaluria, Yogesh, Khalatov, Artem, Kuehn, Thomas, Kulacki, Francis A., Lemonnier, Denis, Manglik, Raj M., Maruyama, Shigenao, Mengüç, M. Pinar, Meyer, Josua P., Minkowycz, Wally J., Modest, Michael F., Mohamad, Abdulmajeed, Nowak, Andrzej, Orlande, Helcio, Padet, Jacques, Patankar, Suhas, Pui, David Y.H., Ramsey, James, Shafeyeva, Yelena, Smirnov, Evgueni M., Srinivasan, Vinod, Steinfeld, Aldo, Stephan, Peter, Szmyd, Janusz, Tamma, Kumar K., Tao, Wen-Quan, Tari, Ilker, Thome, John, Timchenko, Victoria, Vasiliev, Leonard L., Wang, Qiuwang, Webb, Brent W., Worek, William, Yoshida, Hideo, Zhang, Xing, Zhao, Tianshou, and Ziskind, Gennady

Published
2023
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37. Time-Dependent Series Variance Estimation via Recurrent Neural Networks

Author

Nikolaev, Nikolay, Tino, Peter, Smirnov, Evgueni, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Honkela, Timo, editor, Duch, Włodzisław, editor, Girolami, Mark, editor, and Kaski, Samuel, editor

Published
2011
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40. k-Version-Space Multi-class Classification Based on k-Consistency Tests

Author

Smirnov, Evgueni, Nalbantov, Georgi, Nikolaev, Nikolay, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Balcázar, José Luis, editor, Bonchi, Francesco, editor, Gionis, Aristides, editor, and Sebag, Michèle, editor

Published
2010
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41. Single-Stacking Conformity Approach to Reliable Classification

Author

Smirnov, Evgueni, Nikolaev, Nikolay, Nalbantov, Georgi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Dicheva, Darina, editor, and Dochev, Danail, editor

Published
2010
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44. A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems

Author

Nikolaev, Nikolay Y., Smirnov, Evgueni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, de Sá, Joaquim Marques, editor, Alexandre, Luís A., editor, Duch, Włodzisław, editor, and Mandic, Danilo, editor

Published
2007
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46. Evaluation of mean velocity and mean speed for test ventilated room from RANS and LES CFD modeling

Author

Ivanov Nikolay, Zasimova Marina, Smirnov Evgueni, and Markov Detelin

Subjects
Environmental sciences, GE1-350
Abstract

The paper presents and discusses data for the ventilation airflow in an isothermal room corresponding to the Nielsen et al. (1978) test computed with Large Eddy Simulation (LES) and Reynolds-Averaged Navier-Stokes (RANS) approaches. As LES computations provide directly both the speed and velocity components data, the difference between the mean speed and mean velocity values is computed and discussed. For the RANS computations that give the mean velocity data only, application of the velocity-to-speed conversion procedure based on the turbulence kinetic energy field provided by a turbulence model resulted in accurate mean speed evaluation.

Published
2019
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47. CFD Evaluation of Directional Variation Effects of the Air Supply Diffuser for the International Space Station Cabin Atmosphere

Author

Ivanov Nikolay, Smirnov Evgueni, Son Chang H., and Telnov Denis

Subjects
Environmental sciences, GE1-350
Abstract

The International Space Station (ISS) crew health and safety depend on ventilation system performance. The ISS ventilation system comprises of numerous air supply diffusers. For each ISS module design of the ventilation system and, in particular, supply diffuser distribution and configuration, is based on the assumption that the cabin aisle way is clear of any objects. However, on-orbit operations could lead to short- or long-term blockage of the area near the air supply diffuser due to some items or stowed bags necessary for the station operation. Partial blockage of the diffuser could disrupt the free jet airflow or change its intended direction. The current contribution is devoted to examination of the ISS research module – the U.S. Laboratory – ventilation system performance in case of partial inlet diffuser blockage with objects, such as Cargo Transfer Bag. The goal of the study is to assess the localized effects when the blockage occurs in the module interior for a possible stagnant zones formation. The paper presents detailed analysis of the diffuser blockage effects on airflow characteristics in various zones in the ISS habitat.

Published
2019
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48. Unsteady RANS Simulation of Air Distribution in a Ventilated Classroom with Numerous Jets

Author

Ivanov Nikolay, Zasimova Marina, Smirnov Evgueni, Abramov Alexey, Markov Detelin, and Stankov Peter

Subjects
Environmental sciences, GE1-350
Abstract

The study is devoted to the Unsteady Reynolds-Averaged Navies-Stokes (URANS) simulation of ventilation in an isothermal room with numerous jets supplied from ceiling diffusers. The computations of the airflow under the test conditions considered were carried out in the classroom of the Technical University of Sofia with no occupants. The room floor has a simple rectangular form, but several columns, beams, window sills, and four radiators are located inside the room that makes the geometry more complex. Air is supplied to the room through four ceiling fan coils, the Reynolds number is 2×104. Calculations were carried out using the ANSYS Fluent 18.2 software with the standard k-ε turbulence model chosen. Computational meshes of up to 33 million hexahedral cells clustered to the inlet and outlet sections were used. The main aim of the study presented is to analyze and discuss the complicated 3D flow structure in the room and to give foundation for future measurements of air velocity field in the room.

Published
2019
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49. One-Sided Instance-Based Boundary Sets

Author

Smirnov, Evgueni N., Sprinkhuizen-Kuyper, Ida G., van den Herik, H Jaap, Goos, Gerhard, Series editor, Hartmanis, Juris, Series editor, van Leeuwen, Jan, Series editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Meo, Rosa, editor, Lanzi, Pier Luca, editor, and Klemettinen, Mika, editor

Published
2004
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50. Conformal Multistep-Ahead Multivariate Time-Series Forecasting

Author

Schlembach, Filip, Smirnov, Evgueni, Koprinska, Irena, Johansson, U, Bostrom, H, Nguyen, KA, Luo, Z, Carlsson, L, Schlembach, Filip, Smirnov, Evgueni, Koprinska, Irena, Johansson, U, Bostrom, H, Nguyen, KA, Luo, Z, and Carlsson, L

Abstract

This paper proposes a method for conformal multistep-ahead multivariate time-series forecasting. The method minimizes the coverage loss when the data exchangeability assumption does not properly hold. This is done by weighting residual quantiles while computing prediction intervals. Preliminary experiments on real data demonstrate the method's utility.

Published
2022

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