Search Results - Partovi-Nia, R.

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  1. 1
    Electrochemical characterization and corrosion behavior of an Fe-Mn-Si shape memory alloy in simulated concrete pore solutions

    Electrochemical characterization and corrosion behavior of an Fe-Mn-Si shape memory alloy in simulated concrete pore solutions by Lee, W. J., Partovi-Nia, R., Suter, T., Leinenbach, C.

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  2. 2
    The stability of aluminum-manganese intermetallic phases under the microgalvanic coupling conditions anticipated in magnesium alloys

    The stability of aluminum-manganese intermetallic phases under the microgalvanic coupling conditions anticipated in magnesium alloys by Asmussen, R. M., Binns, W. J., Partovi-Nia, R., Jakupi, P., Shoesmith, D. W.

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  3. 3
    Reversible electrochemical modulation of fluorescence and selective sensing of ascorbic acid using a DCIP-CA-CdTe QD system

    Reversible electrochemical modulation of fluorescence and selective sensing of ascorbic acid using a DCIP-CA-CdTe QD system by CONG KONG, LI, Da-Wei, YANG LI, PARTOVI-NIA, Raheleh, JAMES, Tony D, LONG, Yi-Tao, HE TIAN

    Published in Analyst (London)
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  4. 4
    Testing multiple variance components in linear mixed-effects models

    Testing multiple variance components in linear mixed-effects models by Drikvandi, Reza, Verbeke, Geert, Khodadadi, Ahmad, Partovi Nia, Vahid

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  5. 5
    Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting

    Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting by Messerli, Gaëlle, Partovi Nia, Vahid, Trevisan, Martine, Kolbe, Anna, Schauer, Nicolas, Geigenberger, Peter, Chen, Jychian, Davison, Anthony C, Fernie, Alisdair R, Zeeman, Samuel C

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  6. 6
    Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting1[W][OA]

    Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting1[W][OA] by Messerli, Gaëlle, Vahid Partovi Nia, Trevisan, Martine, Kolbe, Anna

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  7. 7
    Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy

    Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy by Ghaemi, Mohammad Sajjad, DiGiulio, Daniel B, Contrepois, Kévin, Callahan, Benjamin, Ngo, Thuy T M, Lee-McMullen, Brittany, Lehallier, Benoit, Robaczewska, Anna, Mcilwain, David, Rosenberg-Hasson, Yael, Wong, Ronald J, Quaintance, Cecele, Culos, Anthony, Stanley, Natalie, Tanada, Athena, Tsai, Amy, Gaudilliere, Dyani, Ganio, Edward, Han, Xiaoyuan, Ando, Kazuo, McNeil, Leslie, Tingle, Martha, Wise, Paul, Maric, Ivana, Sirota, Marina, Wyss-Coray, Tony, Winn, Virginia D, Druzin, Maurice L, Gibbs, Ronald, Darmstadt, Gary L, Lewis, David B, Partovi Nia, Vahid, Agard, Bruno, Tibshirani, Robert, Nolan, Garry, Snyder, Michael P, Relman, David A, Quake, Stephen R, Shaw, Gary M, Stevenson, David K, Angst, Martin S, Gaudilliere, Brice, Aghaeepour, Nima

    Published in Bioinformatics
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  8. 8
    Mathematical Challenges in Deep Learning

    Mathematical Challenges in Deep Learning by Vahid Partovi Nia, Zhang, Guojun, Kobyzev, Ivan, Metel, Michael R, Li, Xinlin, Sun, Ke, Hemati, Sobhan, Asgharian, Masoud, Kong, Linglong, Liu, Wulong, Chen, Boxing

    Published in arXiv.org
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  9. 9
    Active Learning for High-Dimensional Binary Features

    Active Learning for High-Dimensional Binary Features by Vahdat, Ali, Belbahri, Mouloud, Nia, Vahid Partovi

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