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161“…METHODS: The knowledge‐based automated DVH prediction module was developed with kernel density estimation (KDE) method and applied for Pinnacle(3) treatment planning system. …”
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162“…An improved segmented simulated annealing method is used to decrease the computation load while the Kernel Density Estimator (KDE) method is used to filter out the false optimum candidates. …”
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163“…Then we combine the advantages of kernel density estimation (KDE) and mutual information (MI) and put forward a KDEMI classifier. …”
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164por Gbagir, Augustine-Moses Gaavwase, Sikopo, Colgar Sisamu, Matengu, Kenneth Kamwi, Colpaert, Alfred“…We used Time Series Segmented Residual Trends (TSS-RESTREND), Mann–Kendall Test Statistics, Sen’s Slope, ensemble, Kernel Density Estimation (KDE), and Pearson correlation methods. Our results revealed (i) widespread vegetation browning along elephant migration routes and within National Parks, (ii) Pearson correlation (p-value = 5.5 × 10(−8)) showed that vegetation browning areas do not sustain high population densities of elephants. …”
Publicado 2022
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165por Cano-Ott, D, Plukis, A, Eleftheriadis, C, Leeb, H, Calvino, F, Herrera-Martinez, A, Savvidis, I, Vlachoudis, V, Haas, B, Abbondanno, U, Vannini, G, Oshima, M, Gramegna, F, Wiescher, M, Pigni, M T, Wiendler, H, Mengoni, A, Quesada, J, Becvar, F, Rosetti, M, Cennini, P, Mosconi, M, Duran, I, Rauscher, T, Ketlerov, V, Couture, A, Capote, R, Sarchiapone, L, Vlastou, R, Domingo-Pardo, C, Pavlopoulos, P, Karamanis, D, Krticka, M, Griesmayer, E, Jericha, E, Ferrari, A, Martinez, T, Oberhummer, H, Karadimos, D, Plompen, A, Mendoza, E, Terlizzi, R, Cortes, G, Cox, J, Voss, F, Pretel, C, Colonna, N, Berthoumieux, E, Dolfini, R, Vaz, P, Heil, M, Lopes, I, Lampoudis, C, Walter, S, Calviani, M, Gonzalez-Romero, E, Stephan, C, Tain, J L, Belloni, F, Igashira, M, Papachristodoulou, C, Aerts, G, Tavora, L, Milazzo, P M, Rudolf, G, Andrzejewski, J, Villamarin, D, Ferreira-Marques, R, Meaze, M H, O'Brien, S, Gunsing, F, Reifarth, R, Perrot, L, Lindote, A, Neves, F, Poch, A, Konovalov, V, Kerveno, M, Marques, L, Rubbia, C, Koehler, P, Dahlfors, M, Wisshak, K, Fujii, K, De Albornoz, A C, Salgado, J, Dridi, W, Ventura, A, Andriamonje, S, Dillman, I, Assimakopoulos, P, Ferrant, L, Lozano, M, Patronis, N, Chiaveri, E, Guerrero, C, Kadi, Y, Vicente, M C, Praena, J, Baumann, P, Moreau, C, Kappeler, F, Rullhusen, P, Furman, W, David, S, Marrone, S, Paradela, C, Audouin, L, Tassan-Got, L, Alvarez-Velarde, F, Massimi, C, Mastinu, P, Isaev, S, Pancin, J, Papadopoulos, C, Tagliente, G, Alvarez, H, Haight, R, Goverdovski, A, Chepel, V, Plag, R, Kossionides, E, Badurek, G, Marganiec, J, Lukic, S, Frais-Koelbl, H, Pavlik, A, Goncalves, IEnlace del recurso
Publicado 2011
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166por Rinella, G Aglieri, Andronic, A, Antonelli, M, Baccomi, R, Ballabriga, R, Barbero, M, Barrillon, P, Baudot, J, Becht, P, Benotto, F, Beole, S, Bertolone, G, Besson, A, Bialas, W, Borghello, G, Braach, J, Buckland, M, Bugiel, S, Buschmann, E, Camerini, P, Campbell, M, Carnesecchi, F, Cecconi, L, Charbon, E, Chauhan, A, Colledani, C, Contin, G, Dannheim, D, Dort, K, de Melo, J, Deng, W, De Robertis, G, Di Mauro, A, Martin, A Dorda, Dorokhov, A, Dorosz, P, Eberwein, G, Bitar, Z El, Fang, X, Fenigstein, A, Ferrero, C, Fougeron, D, Gajanana, D, Goffe, M, Gonella, L, Grelli, A, Gromov, V, Habib, A, Haim, A, Hansen, K, Hasenbichler, J, Hillemanns, H, Hong, G H, Hu, C, Isakov, A, Jaaskelainen, K, Junique, A, Kotliarov, A, Kremastiotis, I, Krizek, F, Kluge, A, Kluit, R, Kucharska, G, Kugathasan, T, Kwon, Y, La Rocca, P, Lautner, L, Leitao, P, Lim, B -H, Loddo, F, Mager, M, Marras, D, Martinengo, P, Masciocchi, S, Mathew, S, Menzel, M W, Morel, F, Mulyanto, B, Munker, M, Musa, L, Nakamura, M, Pangaud, P, Perciballi, S, Pham, H, Piro, F, Prino, F, Rachevski, S, Rebane, K, Reckleben, C, Reidt, F, Ricci, R, Russo, R, Sanna, I, Sarritzu, V, Savino, U, Schledewitz, D, Sedgwick, I, Senyukov, S, Snoeys, W, Soltveit, H K, Sonneveld, J, Soudier, J, Stachel, J, Suzuki, M, Svihra, P, Suljic, M, Takahashi, N, Termo, G, Tiltmann, N, Toledano, E, Triffiro, A, Turcato, A, Usai, G, Valin, I, Villani, A, Van Beelen, J B, Vassilev, M D, Vernieri, C, Vitkovskiy, A, Wu, Y, Yelkenci, A, Yuncu, AEnlace del recurso
Publicado 2023
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167por Atharifard, A, Healy, J L, Goulter, B P, Ramyar, M, Broeke, L Vanden, Walsh, M F, Onyema, C C, Panta, R K, Aamir, R, Smithies, D J, Doesburg, R, Anjomrouz, M, Shamshad, M, Bheesette, S, Rajendran, K, de Ruiter, N J A, Knight, D, Chernoglazov, A, Mandalika, H, Bell, S T, Bateman, C J, Butler, A P H, Butler, P HEnlace del recurso
Publicado 2017
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168por Esmaeili, Fatemeh, Cassie, Erica, Nguyen, Hong Phan T., Plank, Natalie O. V., Unsworth, Charles P., Wang, Alan“…Prediction models employed autoencoder networks and the kernel density estimation (KDE) method for finding the threshold to detect anomalies. …”
Publicado 2023
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169“…Here, we use kernel density estimation (KDE) to analyse the spatial patterns of check-in spots (or places of interest, POIs) and employ the Getis-Ord [Image: see text] method to identify the hot spots for different types of POIs in Shenzhen, China. …”
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170“…In addition, the Probability Density Function (PDF), which is estimated by Kernel Density Estimation (KDE) with the Gaussian kernel, is introduced to describe the color distribution of superpixels as a more sophisticated and accurate measure. …”
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171“…We found that an isolate had higher expression of kpnF (SMR family) and kdeA (MATE family) pump genes relative to RND family pump genes. …”
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172por Kalantari, Mohsen, Zanganeh Shahraki, Saeed, Yaghmaei, Bamshad, Ghezelbash, Somaye, Ladaga, Gianluca, Salvati, Luca“…This framework quantifies the spatiotemporal association among collisions, by comparing the results of different approaches (including Kernel Density Estimation (KDE), Natural Breaks Classification (NBC), and Knox test). …”
Publicado 2021
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173por Widodo, Febri Anggriawan, Imron, Muhammad Ali, Sunarto, Sunarto, Giordano, Anthony J.“…We also used kernel density estimation (KDE) to assess temporal overlap among these species. …”
Publicado 2022
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174por Xiao, Lingling“…The use value of intangible cultural heritage is analyzed and considered according to IPA entity model analysis, kernel density estimation (KDE), and gray correlation calculation (calculated by using IPA analysis conclusion). …”
Publicado 2022
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175“…Employing the kernel density estimation (KDE) method, the street centrality of the traffic network vis-à-vis the urban LUI was rasterized into the same spatial analysis framework. …”
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176por Karlitschek, Frank“…</p> <h4> About the speaker</h4> <p align="justify"> Frank Karlitschek is a long time open source contributor and former board member of the KDE e.V. He managed engineering teams for over 10 years in different companies. …”
Publicado 2013
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177por Dawson, S, Gritsan, A, Logan, H, Qian, J, Tully, C, Van Kooten, R, Ajaib, A, Anastassov, A, Anderson, I, Bake, O, Barger, V, Barklow, T, Batell, B, Battaglia, M, Berge, S, Blondel, A, Bolognesi, S, Brau, J, Brownson, E, Cahill-Rowley, M, Calancha-Paredes, C, Chen, C -Y, Chou, W, Clare, R, Cline, D, Craig, N, Cranmer, K, de Gruttola, M, Elagin, A, Essig, R, Everett, L, Feng, E, Fujii, K, Gainer, J, Gao, Y, Gogoladze, I, Gori, S, Goncalo, R, Graf, N, Grojean, C, Guindon, S, Han, T, Hanson, G, Harnik, R, Heinemann, B, Heinemeyer, S, Heintz, U, Hewett, J, Ilchenko, Y, Ismail, A, Jain, V, Janot, P, Kawada, S, Kehoe, R, Klute, M, Kotwal, A, Krueger, K, Kukartsev, G, Kumar, K, Kunkle, J, Lewis, I, Li, Y, Linssen, L, Lipeles, E, Lipton, R, Liss, T, List, J, Liu, T, Liu, Z, Low, I, Ma, T, Mackenzie, P, Mellado, B, Melnikov, K, Moortgat-Pick, G, Mourou, G, Narain, M, Nielsen, J, Okada, N, Okawa, H, Olsen, J, Onyisi, P, Parashar, N, Peskin, M, Petriello, F, Plehn, T, Pollard, C, Potter, C, Prokofiev, K, Rauch, M, Rizzo, T, Robens, T, Rodriguez, V, Roloff, P, Ruiz, R, Sanz, V, Sayre, J, Shafi, Q, Shaughnessy, G, Sher, M, Simon, F, Solyak, N, Stupak, J, Su, S, Tanabe, T, Tajima, T, Telnov, V, Tian, J, Thomas, S, Thomson, M, Un, C, Velasco, M, Wagner, C, Wang, S, Whitbeck, A, Yao, W, Yokoya, H, Zenz, S, Zerwas, D, Zhang, Y, Zhou, YEnlace del recurso
Publicado 2013
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178por Demaria, N, Barbero, M B, Fougeron, D, Gensolen, F, Godiot, S, Menouni, M, Pangaud, P, Rozanov, A, Wang, A, Bomben, M, Calderini, G, Crescioli, F, Dortz, O Le, Marchiori, G, Dzahini, D, Rarbi, F E, Gaglione, R, Gonella, L, Hemperek, T, Huegging, F, Karagounis, M, Kishishita, T, Krueger, H, Rymaszewski, P, Wermes, N, Ciciriello, F, Corsi, F, Marzocca, C, De Robertis, G, Loddo, F, Licciulli, F, Andreazza, A, Liberali, V, Shojaii, S, Stabile, A, Bagatin, M, Bisello, D, Mattiazzo, S, Ding, L, Gerardin, S, Giubilato, P, Neviani, A, Paccagnella, A, Vogrig, D, Wyss, J, Bacchetta, N, Canio, F De, Gaioni, L, Nodari, B, Manghisoni, M, Re, V, Traversi, G, Comotti, D, Ratti, L, Vacchi, C, Beccherle, R, Bellazzini, R, Magazzu, G, Minuti, M, Morsani, F, Palla, F, Poulios, S, Fanucci, L, Rizzi, A, Saponara, S, Androsov, K, Bilei, G M, Menichelli, M, Conti, E, Marconi, S, Passeri, D, Placidi, P, Della Casa, G, Mazza, G, Rivetti, A, Rolo, M D Da Rocha, Monteil, E, Pacher, L, Gajanana, D, Gromov, V, Hessey, N, Kluit, R, Zivkovic, V, Havranek, M, Janoska, Z, Marcisovsky, M, Neue, G, Tomasek, L, Kafka, V, Sicho, P, Vrba, V, Vila, I, Lopez-Morillo, E, Aguirre, M A, Palomo, F R, Muñoz, F, Abbaneo, D, Christiansen, J, Dannheim, D, Dobos, D, Linssen, L, Pernegger, H, Valerio, P, Alipour Tehrani, N, Bell, S, Prydderch, M L, Thomas, S, Christian, D C, Fahim, F, Hoff, J, Lipton, R, Liu, T, Zimmerman, T, Garcia-Sciveres, M, Gnani, D, Mekkaoui, A, Gorelov, I, Hoeferkamp, M, Seidel, S, Toms, K, De Witt, J N, Grillo, A, Paternò, AEnlace del recurso
Publicado 2016
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179por Gaioni, L, De Canio, F, Nodari, B, Manghisoni, M, Re, V, Traversi, G, Barbero, M B, Fougeron, D, Gensolen, F, Godiot, S, Menouni, M, Pangaud, P, Rozanov, A, Wang, A, Bomben, M, Calderini, G, Crescioli, F, Le Dortz, O, Marchiori, G, Dzahini, D, Rarbi, F E, Gaglione, R, Gonella, L, Hemperek, T, Huegging, F, Karagounis, M, Kishishita, T, Krueger, H, Rymaszewski, P, Wermes, N, Ciciriello, F, Corsi, F, Marzocca, C, De Robertis, G, Loddo, F, Licciulli, F, Andreazza, A, Liberali, V, Shojaii, S, Stabile, A, Bagatin, M, Bisello, D, Mattiazzo, S, Ding, L, Gerardin, S, Giubilato, P, Neviani, A, Paccagnella, A, Vogrig, D, Wyss, J, Bacchetta, N, Della Casa, G, Demaria, N, Mazza, G, Rivetti, A, Da Rocha Rolo, M D, Comotti, D, Ratti, L, Vacchi, C, Beccherle, R, Bellazzini, R, Magazzu, G, Minuti, M, Morsani, F, Palla, F, Poulios, S, Fanucci, L, Rizzi, A, Saponara, S, Androsov, K, Bilei, G M, Menichelli, M, Conti, E, Marconi, S, Passeri, D, Placidi, P, Monteil, E, Pacher, L, Paternò, A, Gajanana, D, Gromov, V, Hessey, N, Kluit, R, Zivkovic, V, Havranek, M, Janoska, Z, Marcisovsky, M, Neue, G, Tomasek, L, Kafka, V, Sicho, P, Vrba, V, Vila, I, Lopez-Morillo, E, Aguirre, M A, Palomo, F R, Muñoz, F, Abbaneo, D, Christiansen, J, Dannheim, D, Dobos, D, Linssen, L, Pernegger, H, Valerio, P, Alipour Tehrani, N, Bell, S, Prydderch, M L, Thomas, S, Christian, D C, Fahim, F, Hoff, J, Lipton, R, Liu, T, Zimmerman, T, Garcia-Sciveres, M, Gnani, D, Mekkaoui, A, Gorelov, I, Hoeferkamp, M, Seidel, S, Toms, K, De Witt, J N, Grillo, AEnlace del recurso
Publicado 2017
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180“…By combining the LSSVM with a kernel density estimation (KDE) method, we further establish an interval prediction model, which can provide uncertainty information and viable option for decision-makers. …”
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