Publications by: Dmitry A. Konovalov

Also publishes as (Dmitry Konovalov, D. Konvalov, D. Konovalov, D.A. Konovalov)

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Number of items: 46.

Knutsen, Espen, and Konovalov, Dmitry A. (2024) Accelerating segmentation of fossil CT scans through Deep Learning. Scientific Reports, 14. 20943.

Joone, Carolynne J., and Konovalov, Dmitry A. (2023) The effect of neuter status on longevity in the Rottweiler dog. Scientific Reports, 13 (1). 17845.

Mattone, Carlo, Bradley, Michael, Barnett, Adam, Konovalov, Dmitry A., and Sheaves, Marcus (2022) Environmental conditions constrain nursery habitat value in Australian sub-tropical estuaries. Marine Environmental Research, 175. 105568.

Kophamel, Sara, Ward, Leigh C., Konovalov, Dmitry A., Mendez, Diana, Ariel, Ellen, Cassidy, Nathan, Bell, Ian, Balastegui Martínez, María T., and Munns, Suzanne L. (2022) Field‐based adipose tissue quantification in sea turtles using bioelectrical impedance spectroscopy validated with CT scans and deep learning. Ecology and Evolution, 12.

Kophamel Orduna, Sara, Ward, Leigh, Konovalov, Dmitry, Ariel, Ellen, Bell, Ian, Cassidy, Nathan, Balastegui Martinez, Maria T., and Munns, Suzanne (2021) Adipose tissue estimation in green turtles (Chelonia mydas) by bioelectrical impedance analysis and diagnostic imaging. In: Abstract Book of the SEB 2021 Annual Conference (2021) A16.3. p. 173. From: Society for Experimental Biology 2021 Annual Conference, 29 June - 8 July 2021, Online.

Kophamel, Sara, Ward, Leigh, Konovalov, Dmitry, Ariel, Ellen, Mendez, Diana, Bell, Ian, Cassidy, Nathan, Balastegui Martinez, Maria T., and Munns, Suzanne (2021) Adipose tissue estimation in green turtles (Chelonia mydas) using deep learning, diagnostic imaging and bioelectrical impedance analysis. In: [Presented at CUENCA 2021]. 3. p. 293. From: CUENCA 2021: 69th Wildlife Disease Association (WDA)/14th European Wildlife Disease Association (EWDA) Joint Virtual Conference, 30 August - 2 September 2021, Online.

Josi, Dario, Heg, Dik, Takeyama, Tomohiro, Bonfils, Danielle, Konovalov, Dmitry A., Frommen, Joachim G., Kohda, Masanori, and Taborsky, Michael (2021) Age‐ and sex‐dependent variation in relatedness corresponds to reproductive skew, territory inheritance and workload in cooperatively breeding cichlids. Evolution, 75 (11). pp. 2881-2897.

Konovalov, Dmitry A., Swinhoe, Natalie, Efremova, Dina B., Birtles, R. Alastair, Kusetic, Martha, Hillcoat, Suzanne, Curnock, Matthew I., Williams, Genevieve, and Sheaves, Marcus (2020) Automatic sorting of Dwarf Minke Whale underwater images. Information, 11 (4). 200.

Dexter, B.R., King, R., Parisi, A.V., Harrison, S.L., Konovalov, D.A., and Downs, N.J. (2020) Keratinocyte skin cancer risks for working school teachers: scenarios and implications of the timing of scheduled duty periods in Queensland, Australia. Journal of Photochemistry and Photobiology B: Biology, 213. 112046.

Konovalov, Dmitry A., Swinhoe, Natalie, Efremova, Dina B., Birtles, R. Alastair, Kusetic, Martha, Adams, Kent, Hillcoat, Suzanne, Curnock, Matthew I., Williams, Genevieve, Sobtzick, Susan, and Sheaves, Marcus (2020) Minke whale detection in underwater imagery using classification CNNs. In: Proceedings of Global Oceans 2020. From: Global Oceans 2020: Singapore – U.S. Gulf Coast, 5-30 October 2020, Biloxi, MS, USA.

Sheaves, Marcus, Bradley, Michael, Herrera, Cesar, Mattone, Carlo, Lennard, Caitlin, Sheaves, Janine, and Konovalov, Dmitry A. (2020) Optimizing video sampling for juvenile fish surveys: using deep learning and evaluation of assumptions to produce critical fisheries parameters. Fish and Fisheries, 21 (6). pp. 1259-1276.

Saleh, Alzayat, Laradji, Issam H., Konovalov, Dmitry A., Bradley, Michael, Vazquez, David, and Sheaves, Marcus (2020) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis. Scientific Reports, 10. 14671.

Konovalov, Dmitry A., Saleh, Alzayat, Efremova, Dina B., Domingos, Jose A., and Jerry, Dean R. (2019) Automatic weight estimation of harvested fish from images. In: Proceedings of the International Conference on Digital Image Computing. pp. 308-314. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Efremova, Dina B., Sankupellay, Mangalam, and Konovalov, Dmitry A. (2019) Data-efficient classification of birdcall through Convolutional Neural Networks transfer learning. In: Proceedings of the International Conference on Digital Image Computing. pp. 294-301. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Olsen, Alex, Konovalov, Dmitry A., Philippa, Bronson, Ridd, Peter, Wood, Jake, Johns, Jamie, Banks, Wesley, Girgenti, Benjamin, Kenny, Owen, Whinney, James, Calvert, Brendan, Rahimi Azghadi, Mostafa, and White, Ronald D. (2019) DeepWeeds: a multiclass weed species image dataset for deep learning. Scientific Reports, 9. 2058.

Wang, Junling, Sankupellay, Mangalam, Konovalov, Dmitry, Towsey, Michael, and Roe, Paul (2019) Social network analysis of an acoustic environment: the use of visualised data to characterise natural habitats. In: Proceedings of the International Conference on Digital Image Computing. pp. 366-372. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Konovalov, Dmitry A., Saleh, Alzayat, Bradley, Michael, Sankupellay, Mangalam, Marini, Simone, and Sheaves, Marcus (2019) Underwater fish detection with weak multi-domain supervision. In: Proceedings of the International Joint Conference on Neural Networks. From: 2019 IJCNN: International Joint Conference on Neural Networks, 14-19 July 2019, Budapest, Hungary.

Lapico, Adrian, Sankupellay, Mangalam, Cianciullo, Louis, Myers, Trina, Konovalov, Dmitry A., Jerry, Dean R., Toole, Preston, Jones, David B., and Zenger, Kyall R. (2019) Using image processing to automatically measure pearl oyster size for selective breeding. In: Proceedings of the International Conference on Digital Image Computing. pp. 90-97. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Konovalov, D.A., Domingos, J.A., White, R.D., and Jerry, D.R. (2018) Automatic scaling of fish images. In: Proceedings of the 2nd International Conference on Advances in Image Processing. pp. 48-53. From: ICAIP 18: 2nd International Conference on Advances in Image Processing, 16-18 June 2018, Chengdu, China.

Konovalov, Dmitry A., Saleh, Alzayat, Domingos, Jose A., White, Ron D., and Jerry, Dean R. (2018) Estimating mass of harvested Asian seabass Lates calcarifer from images. World Journal of Engineering and Technology, 6 (3). pp. 15-23.

Konovalov, Dmitry A., Hillcoat, Suzanne, Williams, Genevieve, Birtles, R. Alastair, Gardiner, Naomi, and Curnock, Matthew I. (2018) Individual minke whale recognition using deep learning convolutional neural networks. Journal of Geoscience and Environment Protection, 6 (5). 84616. pp. 25-36.

Sankupellay, Mangalam, and Konovalov, Dmitry (2018) Bird call recognition using deep convolutional neural network, ResNet-50. In: Proceedings of the Australian Acoustical Society Conference. 134. From: AAS2018: Acoustics 2018: hear to listen, 6-9 November 2018, Adelaide, SA, Australia.

White, R.D., Cocks, D., Boyle, G., Casey, M., Garland, N., Konovalov, D., Philippa, B., Stokes, P., de Urquijo, J., González-Magaña, O., McEachran, R.P., Buckman, S.J., Brunger, M.J., Garcia, G., Dujko, S., and Petrovic, Z.Lj. (2018) Electron transport in biomolecular gaseous and liquid systems: theory, experiment and self-consistent cross-sections. Plasma Sources Science and Technology, 27 (5).

Glassen, Thomas J., Oertzen, Timo von, and Konovalov, Dmitry A. (2018) Finding the mean in a partition distribution. BMC Bioinformatics, 19. 375.

Konovalov, Dmitry A., Jahangard, Simindokht, and Schwarzkopf, Lin (2018) In situ cane toad recognition. In: Proceedings of the International Conference on Digital Image Computing. From: DICTA 2018: Digital Image Computing: techniques and applications, 10-13 December 2018, Canberra, ACT, Australia.

Konovalov, D.A., Domingos, J.A., Bajema, C., White, R.D., and Jerry, D.R. (2017) Ruler detection for automatic scaling of fish images. In: Proceedings of the International Conference on Advances in Image Processing. pp. 90-95. From: ICAIP 2017: International Conference on Advances in Image Processing, 25-27 August 2017, Bangkok, Thailand.

Konovalov, Dmitry A., Cocks, Daniel G., and White, Ronald D. (2017) Unified solution of the Boltzmann equation for electron and ion velocity distribution functions and transport coefficients in weakly ionized plasmas. The European Physical Journal D, 71. 258.

Cocks, D., Boyle, G., Casey, M., Garland, N., Konovalov, D., Stokes, P., Brunger, M.J., Buckman, S.J., De Urquijo, J., Dujko, S., Garcia, G., McEachran, R.P., Petrovic, Z., and White, R.D. (2016) Transport of charged particles in gaseous and liquid systems: theory, experiment and self-consistent cross section sets. In: International Conference on Gas Discharges and their Applications (2) 5. pp. 709-714. From: GD2016: 21st International Conference on Gas Discharges and their Applications, 11-16 September 2016, Nagoya, Japan.

Do, T.P.T., Duque, H.V., Lopes, M.C.A. , Konovalov, D.A., White, R.D., Brunger, M.J., and Jones, D.B. (2015) Differential cross sections for electron-impact vibrational-excitation of tetrahydrofuran at intermediate impact energies. Journal of Chemical Physics, 142. 124306. pp. 1-7.

De Urquijo, J., Casey, M., Konvalov, D., Brunger, M.J., Garcia, G., Petrovic, Z., and White, R.D. (2015) Electron impact cross-sections for biomolecules - completeness and self-consistency via swarm analysis. In: Journal of Physics: Conference Series (635) 072079. From: ICPEAC 2015: XXIX International Conference of Phototonic, Electronic, and Atomic Collisions, 22-28 July 2015, Toledo, Spain.

Duque, H.V., Do, T.P.T., Lopes, M.C.A., Konovalov, D.A., White, R.D., Brunger, M.J., and Jones, B.D. (2015) The role of electron-impact vibrational excitation in electron transport through gaseous tetrahydrofuran. Journal of Chemical Physics, 142. 124307. pp. 1-7.

Jones, David B., Jerry, Dean R., Forêt, Sylvain, Konovalov, Dmitry A., and Zenger, Kyall R. (2013) Genome-wide SNP validation and mantle tissue transcriptome analysis in the silver-lipped pearl oyster, Pinctada maxima. Marine Biotechnology, 15 (6). pp. 647-658.

Konovalov, Dmitry A., Fursa, Dmitry V., and Bray, Igor (2012) J-matrix calculation of electron-helium S-wave scattering: II single ionization and single excitation. Physical Review A (Atomic, Molecular and Optical Physics), 86 (5). 052704. pp. 1-7.

Konovalov, D.A., Fursa, D.V., and Bray, I. (2011) J-matrix calculation of electron-helium S-wave scattering. Physical Review A (Atomic, Molecular and Optical Physics), 84 (3). 032707. pp. 1-10.

Konovalov, D.A., and Bray, I. (2010) Calculation of electron-impact ionization using the J-matrix method. Physical Review A (Atomic, Molecular and Optical Physics), 82 (2). 022708. pp. 1-8.

Sim, N., Konovalov, D., and Coomans, D. (2009) High-performance GRID computing in chemoinformatics. In: Brown, Steven, Tauler, Roma, and Walczak, Beata, (eds.) Comprehensive Chemometrics: chemical and biochemical data analysis. Elsevier, Oxford, UK, pp. 507-539.

Litow, Bruce, and Konovalov, Dmitry (2008) Phenotype space and kinship assignment for the Simpson index. RAIRO - Theoretical Informatics and Applications, 42 (2). pp. 323-333.

Konovalov, Dmitry A., and Heg, Dik (2008) A Maximum-Likelihood relatedness estimator allowing for negative relatedness values. Molecular Ecology Resources, 8 (2). pp. 256-263.

Konovalov, Dmitry A., Sim, Nigel, Deconinck, Eric, Vander Heyden, Yvan, and Coomans, Danny (2008) Statistical confidence for variable selection in QSAR models via Monte Carlo cross-validation. Journal of Chemical Information and Modeling, 48 (2). pp. 370-383.

Konovalov, Dmitry A., and Heg, Dik (2008) Estimation of population allele frequencies from small samples containing multiple generations. In: Proceedings of 6th Asia-Pacific Bioinformatics Conference. pp. 321-331. From: 6th Asia-Pacific Bioinformatics Conference, 14-17 January 2008, Kyoto, Japan.

Konovalov, Dmitry A., Llewellyn, Lyndon E., Vander Heyden, Yvan, and Coomans, Danny (2008) Robust cross-validation of linear regression QSAR models. Journal of Chemical Information and Modeling, 48 (10). pp. 2081-2094.

Konovalov, Dmitry A., Coomans, Danny, Deconinck, Eric, and Vander Heyden, Yvan (2007) Benchmarking of QSAR models for blood-brain barrier permeation. Journal of Chemical Information and Modeling, 47 (4). pp. 1648-1656.

Konovalov, Dmitry (2006) Accuracy of four heuristics for the full sibship reconstruction problem in the presence of genotype errors. In: Proceedings of the 4th Asia-Pacific Bioinformatics Conference. pp. 7-16. From: 4th Asia-Pacific Bioninformatics Conference, 13-16 February 2006, Taipei, Taiwan.

Konovalov, Dmitry, Bajema, Nigel, and Litow, Bruce (2005) Modified Simpson O(n3) algorithm for the full sibship reconstruction problem. Bioinformatics, 21 (20). pp. 3912-3917.

Konovalov, Dmitry A., Litow, Bruce, and Bajema, Nigel (2005) Partition-distance via the assignment problem. Bioinformatics, 21 (10). pp. 2463-2468.

Konovalov, Dmitry A., Manning, Clint, and Henshaw, Michael T. (2004) KINGROUP: a program for pedigree relationship reconstruction and kin group assignments using genetic markers. Molecular Ecology Notes, 4 (4). pp. 779-782.

This list was generated on Wed Dec 25 04:52:40 2024 AEST.