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Dmitry A. Konovalov

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2020 – today

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2024
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Dmitry A. Konovalov:
Mars Spectrometry 2: Gas Chromatography - Second place solution. CoRR abs/2403.15990 (2024)
2020
[j7]
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Dmitry A. Konovalov, Natalie Swinhoe, Dina B. Efremova, R. Alastair Birtles, Martha Kusetic, Suzanne Hillcoat, Matthew I. Curnock, Genevieve Williams, Marcus Sheaves:
Automatic Sorting of Dwarf Minke Whale Underwater Images. Inf. 11(4): 200 (2020)
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Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vázquez, Marcus Sheaves:
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis. CoRR abs/2008.12603 (2020)

2010 – 2019

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2019
[c10]
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Dina B. Efremova, Mangalam Sankupellay, Dmitry A. Konovalov:
Data-Efficient Classification of Birdcall through Convolutional Neural Networks Transfer Learning. DICTA 2019: 1-8
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Dmitry A. Konovalov, Alzayat Saleh, Dina B. Efremova, Jose A. Domingos, Dean R. Jerry:
Automatic Weight Estimation of Harvested Fish from Images. DICTA 2019: 1-7
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Adrian Lapico, Mangalam Sankupellay, Louis Cianciullo, Trina S. Myers, Dmitry A. Konovalov, Dean R. Jerry, Preston Toole, David B. Jones, Kyall R. Zenger:
Using Image Processing to Automatically Measure Pearl Oyster Size for Selective Breeding. DICTA 2019: 1-8
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Junling Wang, Mangalam Sankupellay, Dmitry A. Konovalov, Michael Towsey, Paul Roe:
Social Network Analysis of an Acoustic Environment: The Use of Visualised Data to Characterise Natural Habitats. DICTA 2019: 1-7
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Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley, Mangalam Sankupellay, Simone Marini, Marcus Sheaves:
Underwater Fish Detection with Weak Multi-Domain Supervision. IJCNN 2019: 1-8
[i6]
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Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley, Mangalam Sankupellay, Simone Marini, Marcus Sheaves:
Underwater Fish Detection with Weak Multi-Domain Supervision. CoRR abs/1905.10708 (2019)
[i5]
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Dmitry A. Konovalov, Simindokht Jahangard, Lin Schwarzkopf:
In Situ Cane Toad Recognition. CoRR abs/1906.03547 (2019)
[i4]
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  - journals/corr/abs-1908-01279
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Dina B. Efremova, Dmitry A. Konovalov, Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Automatic segmentation of kidney and liver tumors in CT images. CoRR abs/1908.01279 (2019)
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Dmitry A. Konovalov, Alzayat Saleh, Dina B. Efremova, Jose A. Domingos, Dean R. Jerry:
Automatic Weight Estimation of Harvested Fish from Images. CoRR abs/1909.02710 (2019)
[i2]
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  - journals/corr/abs-1909-07526
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Dina B. Efremova, Mangalam Sankupellay, Dmitry A. Konovalov:
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning. CoRR abs/1909.07526 (2019)
2018
[c5]
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Dmitry A. Konovalov, Simindokht Jahangard, Lin Schwarzkopf:
In Situ Cane Toad Recognition. DICTA 2018: 1-7
[c4]
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Dmitry A. Konovalov, Jose A. Domingos, Ronald D. White, Dean R. Jerry:
Automatic Scaling of Fish Images. ICAIP 2018: 48-53
[i1]
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Alex Olsen, Dmitry A. Konovalov, Bronson Philippa, Peter Ridd, Jake C. Wood, Jamie Johns, Wesley Banks, Benjamin Girgenti, Owen Kenny, James Whinney, Brendan Calvert, Mostafa Rahimi Azghadi, Ronald D. White:
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning. CoRR abs/1810.05726 (2018)
2017
[c3]
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Dmitry A. Konovalov, Jose A. Domingos, C. Bajema, Ronald D. White, Dean R. Jerry:
Ruler Detection for Automatic Scaling of Fish Images. ICAIP 2017: 90-95

2000 – 2009

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2008
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Bruce E. Litow, Dmitry A. Konovalov:
Phenotype space and kinship assignment for the simpson index. RAIRO Theor. Informatics Appl. 42(2): 323-333 (2008)
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Dmitry A. Konovalov, Nigel Sim, Eric Deconinck, Yvan Vander Heyden, Danny Coomans:
Statistical Confidence for Variable Selection in QSAR Models via Monte Carlo Cross-Validation. J. Chem. Inf. Model. 48(2): 370-383 (2008)
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Dmitry A. Konovalov, Lyndon E. Llewellyn, Yvan Vander Heyden, Danny Coomans:
Robust Cross-Validation of Linear Regression QSAR Models. J. Chem. Inf. Model. 48(10): 2081-2094 (2008)
[c2]
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Dmitry A. Konovalov, Dik Heg:
Estimation of Population Allele Frequencies from Small Samples Containing Multiple Generations. APBC 2008: 321-332
2007
[j3]
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Dmitry A. Konovalov, Danny Coomans, Eric Deconinck, Yvan Vander Heyden:
Benchmarking of QSAR Models for Blood-Brain Barrier Permeation. J. Chem. Inf. Model. 47(4): 1648-1656 (2007)
2006
[c1]
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Dmitry A. Konovalov:
Accuracy of Four Heuristics for the Full Sibship Reconstruction Problem in the Presence of Genotype Errors. APBC 2006: 7-16
2005
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Dmitry A. Konovalov, Bruce E. Litow, Nigel Bajema:
Partition-distance via the assignment problem. Bioinform. 21(10): 2463-2468 (2005)
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Dmitry A. Konovalov, Nigel Bajema, Bruce E. Litow:
Modified SIMPSON O(n³) algorithm for the full sibship reconstruction problem. Bioinform. 21(20): 3912-3917 (2005)

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