Puliparambil, B.S., Tomal, JH., Yan, Y. (2022). A Novel Algorithm for Feature Selection Using Penalized Regression with Applications to Single-Cell RNA
Sequencing Data (MDPI). 11, 1495.
https://doi.org/10.3390/biology11101495
Tomal, JH., Welch, WJ., and Zamar, RH. (2022). Robust ranking by ensembling of diverse models and assessment metrics.
Journal of Statistical Computation and Simulation (Taylor & Francis). 1-26.
https://doi.org/10.1080/00949655.2022.2093873
Tomal, JH., Khan, JR., and Wahed, A. (2022). Weighted Bayesian Poisson Regression for The Number of Children Ever Born per Woman in Bangladesh.
Journal of Statistical Theory and Applications (Springer). 1-27.
https://doi.org/10.1007/s44199-022-00044-2
Chowdhury, RI., and Tomal, JH. (2022). Risk prediction for repeated measures health outcomes: A divide and recombine framework.
Informatics in Medicine Unlocked (Elsevier). 28: 100847.
https://doi.org/10.1016/j.imu.2022.100847
Atkins, M., Howarth, C., Russello, M., Tomal, JH., and Larsen, K. (2022). Evidence of intrapopulation differences in rattlesnake defensive behavior across neighboring habitats.
Behavioral Ecology and Sociobiology (Springer). 76(3): 1-11.
https://doi.org/10.1007/s00265-021-03100-6
Tomal, JH., and Rahman, H. (2021). A Bayesian piecewise linear model for the detection of breakpoints in housing prices.
METRON (Springer). 79(3): 361-381.
https://doi.org/10.1007/s40300-021-00223-8
Hsu, GG., Tomal, JH., and Welch, WJ. (2021). EPX: An R package for the ensemble of subsets of variables for highly unbalanced binary classification.
Computers in Biology and Medicine (Elsevier). 136: 104760.
https://doi.org/10.1016/j.compbiomed.2021.104760
Khan, JR., Tomal, JH., and Raheem, E. (2021). Model and Variable Selection using Machine Learning Methods with Applications to Childhood Stunting in Bangladesh.
Informatics for Health and Social Care (Taylor and Francis). 0: 1-18.
https://doi.org/10.1080/17538157.2021.1904938
Tomal, JH., Rahmati, S., Boroushaki, S., Jin, L., and Ahmed, E. (2021). The Impact of COVID-19 on Students’ Marks: A Bayesian Hierarchical Modeling Approach.
METRON (Springer). 79: 57-91.
https://doi.org/10.1007/s40300-021-00200-1
Tomal, JH., and Ciborowski, JJH. (2020). Ecological Models for Estimating Breakpoints and Prediction Intervals.
Ecology and Evolution (Wiley). 10:13500– 13517.
https://doi.org/10.1002/ece3.6955
Tomal, JH., Welch, WJ., and Zamar, RH. (2017). Discussion of “Random projection Ensemble Classification” by T.I. Cannings and R.J. Samworth.
Journal of the Royal Statistical Society: Series B. 79(4):1024-1025.
https://doi.org/10.1111/rssb.12228
Tomal, JH., Welch, WJ., and Zamar, RH. (2016). Exploiting Multiple Descriptor Sets in QSAR Studies.
Journal of Chemical Information and Modeling. 56(3):501-509.
https://doi.org/10.1021/acs.jcim.5b00663
Tomal, JH., Welch, WJ., and Zamar, RH. (2015). Ensembling Classification Models Based on Phalanxes of Variables with Applications in Drug Discovery.
The Annals of Applied Statistics, 9(1): 69-93.
https://doi.org/10.1214/14-AOAS778
Conference (refereed):
Puliparambil, B.S., Tomal, JH., Yan, Y. (2022). Benchmarking Penalized Regression Methods in Machine Learning for Single Cell RNA Sequencing Data.
In: Jin, L., Durand, D. (eds) Comparative Genomics. RECOMB-CG 2022. Lecture Notes in Computer Science, Vol: 13234. Springer.
https://doi.org/10.1007/978-3-031-06220-9_17
Lea, B., Shome, D., Waqar, O., and Tomal, JH. (2021). Sum rate maximization of D2D networks with energy constrained UAVs through deep unsupervised learning.
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 453-459.
https://doi.org/10.1109/UEMCON53757.2021.9666500
Ciborowski, JJ., Johnson, LB., Tomal, JH., Fung, K., Bhagat, Y., and Zhang, J. (2009). The reference-degraded continuum–assessing biological condition relative to anthropogenic disturbance.
NABS 57th Annual Meeting. Grand Rapids.
https://nabs.confex.com/nabs/2009/techprogram/P3834.HTM
Tomal, JH., and Ciborowski, JJH. (2020). Datasets relating (i) A wetland fish multimetric index to variation in agricultural stress among Laurentian Great Lakes coastal wetlands, (ii) Cyanobacteria
biomass to total phosphorus concentrations among Canadian lakes. Dryad, Dataset.
https://doi.org/10.5061/dryad.g79cnp5nr
Ciborowski, JJH., Landry, J., Wang, L., and Tomal, JH. (2020). Compiling and Assessing Environmental Stress Data for the Detroit River Area of Concern.
Environment and Climate Change Canada
Cai, Y., Cai, J., Chen, J., Golchi, S., Guan, M., Karim, ME., Liu, Y.,
Tomal, JH., Xiong, C., Zhai, Y., Lum, C., Welch, WJ., Zidek, JV. (2016). An Epirical Experiment to Assess the Relationship Between the Tensile and Bending Strengths of Lumber.
Technical Report, Department of Statistics, The University of British Columbia, Vancouver, BC, Canada.
https://www.stat.ubc.ca/Research/TechReports/tr/276.pdf