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ORCIDTamjidul Hoque
Md. Tamjidul Hoque
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2020 – today
- 2024
[j32]Md Wasi Ul Kabir
, Md. Tamjidul Hoque:
DisPredict3.0: Prediction of intrinsically disordered regions/proteins using protein language model. Appl. Math. Comput. 472: 128630 (2024)- [j31]Md Wasi Ul Kabir, Duaa Mohammad Alawad, Pujan Pokhrel, Md. Tamjidul Hoque:
DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues. Comput. Biol. Medicine 170: 108081 (2024) - [j30]Duaa Mohammad Alawad, Ataur Katebi, Md. Tamjidul Hoque:
Enhanced Graph Representation Convolution: Effective Inferring Gene Regulatory Network Using Graph Convolution Network with Self-Attention Graph Pooling Layer. Mach. Learn. Knowl. Extr. 6(3): 1818-1839 (2024) - [j29]Manisha Panta, Padam Jung Thapa, Md. Tamjidul Hoque, Kendall N. Niles, Steven Sloan, Maik Flanagin, Ken Pathak, Mahdi Abdelguerfi:
Application of Deep Learning for Segmenting Seepages in Levee Systems. Remote. Sens. 16(13): 2441 (2024) - [i9]Rasha Alshawi, Md Meftahul Ferdaus, Md. Tamjidul Hoque, Kendall N. Niles, Ken Pathak, Steven Sloan, Mahdi Abdelguerfi:
SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes. CoRR abs/2408.08879 (2024) - 2023
- [j28]Manisha Panta, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik C. Flanagin:
IterLUNet: Deep Learning Architecture for Pixel-Wise Crack Detection in Levee Systems. IEEE Access 11: 12249-12262 (2023) - [j27]Manisha Panta, Md. Tamjidul Hoque, Kendall N. Niles, Joe Tom, Mahdi Abdelguerfi, Maik Flanagin:
Deep Learning Approach for Accurate Segmentation of Sand Boils in Levee Systems. IEEE Access 11: 126263-126282 (2023) - [j26]Yashwanth Karthik Kumar Mamidi, Tarun Karthik Kumar Mamidi, Md Wasi Ul Kabir, Jiande Wu, Md. Tamjidul Hoque, Chindo Hicks:
PCa-Clf: A Classifier of Prostate Cancer Patients into Patients with Indolent and Aggressive Tumors Using Machine Learning. Mach. Learn. Knowl. Extr. 5(4): 1302-1319 (2023) - [j25]Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - [j24]Rasha Alshawi, Md. Tamjidul Hoque, Maik C. Flanagin:
A Depth-Wise Separable U-Net Architecture with Multiscale Filters to Detect Sinkholes. Remote. Sens. 15(5): 1384 (2023) - [c25]Md Wasi Ul Kabir, Duaa Mohammad Alawad, Avdesh Mishra, Md. Tamjidul Hoque:
Prediction of Phi and Psi Angle Fluctuations from Protein Sequences. CIBCB 2023: 1-6 - [i8]Rasha Alshawi, Md. Tamjidul Hoque, Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Prathak, Joe Tom, Jordan Klein, Murtada Mousa, Johny Javier Lopez:
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation. CoRR abs/2312.14053 (2023) - 2022
- [j23]Daniel T. Murphy, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi:
Residual Learning for Marine Mammal Classification. IEEE Access 10: 118409-118418 (2022) - [j22]Austin Schmidt, Md Wasi Ul Kabir, Md. Tamjidul Hoque:
Machine Learning Based Restaurant Sales Forecasting. Mach. Learn. Knowl. Extr. 4(1): 105-130 (2022) - [c24]Daniel T. Murphy, Elias Ioup, Christopher J. Michael, Md. Tamjidul Hoque, Mahdi Abdelguerfi:
Multi-Channel Residual Learning for Marine Mammal Vocalization Classification. IGARSS 2022: 2566-2569 - [c23]Manisha Panta, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik C. Flanagin:
Pixel-Level Crack Detection in Levee Systems: A Comparative Study. IGARSS 2022: 3059-3062 - 2021
- [j21]Avdesh Mishra, Reecha Khanal, Md Wasi Ul Kabir, Tamjidul Hoque:
AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques. Artif. Intell. Medicine 113: 102034 (2021) - [j20]Manisha Panta, Avdesh Mishra, Md. Tamjidul Hoque, Joel Atallah:
ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements. Bioinform. 37(17): 2529-2536 (2021) - [j19]Avdesh Mishra, Md Wasi Ul Kabir, Md. Tamjidul Hoque:
diSBPred: A machine learning based approach for disulfide bond prediction. Comput. Biol. Chem. 91: 107436 (2021) - [i7]Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
Forecasting Significant Wave Heights in Oceanic Waters. CoRR abs/2105.08583 (2021) - [i6]Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
A LightGBM based Forecasting of Dominant Wave Periods in Oceanic Waters. CoRR abs/2105.08721 (2021) - 2020
- [j18]Duaa Mohammad Alawad, Avdesh Mishra, Md. Tamjidul Hoque:
AIBH: Accurate Identification of Brain Hemorrhage Using Genetic Algorithm Based Feature Selection and Stacking. Mach. Learn. Knowl. Extr. 2(2): 56-77 (2020) - [j17]Manish Bhatt, Avdesh Mishra, Md Wasi Ul Kabir, S. E. Blake-Gatto, Rishav Rajendra, Md. Tamjidul Hoque, Irfan Ahmed:
Hierarchy-Based File Fragment Classification. Mach. Learn. Knowl. Extr. 2(3): 216-232 (2020) - [c22]Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
Forecasting Rogue Waves in Oceanic Waters. ICMLA 2020: 634-640 - [c21]Aditi Kuchi, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik C. Flanagin:
Levee-Crack Detection from Satellite or Drone Imagery Using Machine Learning Approaches. IGARSS 2020: 976-979 - [c20]Astha Sharma, Tamjidul Hoque, Elias Ioup, Mahdi Abdelguerfi:
Flight Data of Airplane for Wind Forecasting. IGARSS 2020: 1853-1856 - [i5]Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Julian Simeonov, Mahdi Abdelguerfi:
Random Forest Classifier Based Prediction of Rogue waves on Deep Oceans. CoRR abs/2003.06431 (2020)
2010 – 2019
- 2019
- [j16]Aditi Kuchi, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik Flanagin:
Machine learning applications in detecting sand boils from images. Array 3-4: 100012 (2019) - [j15]Corey Maryan, Md. Tamjidul Hoque, Christopher J. Michael, Elias Ioup, Mahdi Abdelguerfi:
Machine learning applications in detecting rip channels from images. Appl. Soft Comput. 78: 84-93 (2019) - [j14]Avdesh Mishra, Pujan Pokhrel, Md. Tamjidul Hoque:
StackDPPred: a stacking based prediction of DNA-binding protein from sequence. Bioinform. 35(3): 433-441 (2019) - [j13]Devin Joseph Frey, Avdesh Mishra, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Thomas Soniat:
A Machine Learning Approach to Determine Oyster Vessel Behavior. Mach. Learn. Knowl. Extr. 1(1): 64-74 (2019) - [i4]Manisha Panta, Avdesh Mishra, Md. Tamjidul Hoque, Joel Atallah:
Machine Learning based Prediction of Hierarchical Classification of Transposable Elements. CoRR abs/1907.01674 (2019) - 2018
- [j12]Chaitanya Anne, Avdesh Mishra, Md. Tamjidul Hoque, Shengru Tu:
Multiclass patent document classification. Artif. Intell. Res. 7(1): 1-14 (2018) - [j11]Sumaiya Iqbal, Md. Tamjidul Hoque:
PBRpredict-Suite: a suite of models to predict peptide-recognition domain residues from protein sequence. Bioinform. 34(19): 3289-3299 (2018) - 2017
- [j10]Md. Tamjidul Hoque, Sumaiya Iqbal:
Genetic algorithm-based improved sampling for protein structure prediction. Int. J. Bio Inspired Comput. 9(3): 129-141 (2017) - [j9]Sumaiya Iqbal, Tamjidul Hoque:
hGRGA: A scalable genetic algorithm using homologous gene schema replacement. Swarm Evol. Comput. 34: 33-49 (2017) - 2016
- [j8]Mahmood A. Rashid, Sumaiya Iqbal, Firas Khatib, Md. Tamjidul Hoque, Abdul Sattar:
Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction. Comput. Biol. Chem. 61: 162-177 (2016) - [j7]Md. Tamjidul Hoque, Yuedong Yang, Avdesh Mishra, Yaoqi Zhou:
sDFIRE: Sequence-specific statistical energy function for protein structure prediction by decoy selections. J. Comput. Chem. 37(12): 1119-1124 (2016) - [j6]Mahmood A. Rashid, Firas Khatib, Md. Tamjidul Hoque, Abdul Sattar:
An Enhanced Genetic Algorithm for Ab Initio Protein Structure Prediction. IEEE Trans. Evol. Comput. 20(4): 627-644 (2016) - [c19]Sumaiya Iqbal, Md. Tamjidul Hoque:
A Homologous Gene Replacement based Genetic Algorithm. GECCO (Companion) 2016: 91-92 - [i3]Mahmood A. Rashid, Sumaiya Iqbal, Firas Khatib, Md. Tamjidul Hoque, Abdul Sattar:
Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction. CoRR abs/1607.06113 (2016) - 2014
- [j5]Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Tamjidul Hoque, Abdul Sattar:
A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction. Adv. Bioinformatics 2014: 985968:1-985968:17 (2014) - [c18]Mahmood A. Rashid, Md. Masbaul Alam Polash, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar:
Amino Acids Pattern-Biased Spiral Search for Protein Structure Prediction. PRICAI 2014: 143-156 - [i2]Mahmood A. Rashid, Md. Tamjidul Hoque, Abdul Sattar:
Association Rules Mining Based Clinical Observations. CoRR abs/1401.2571 (2014) - 2013
- [j4]Mahmood A. Rashid, M. A. Hakim Newton, Tamjidul Hoque, Swakkhar Shatabda, Duc Nghia Pham, Abdul Sattar:
Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice. BMC Bioinform. 14(S-2): S16 (2013) - [c17]Mahmood A. Rashid, M. A. Hakim Newton, Tamjidul Hoque, Abdul Sattar:
A local search embedded genetic algorithm for simplified protein structure prediction. IEEE Congress on Evolutionary Computation 2013: 1091-1098 - [c16]Mahmood A. Rashid, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar:
Collaborative Parallel Local Search for Simplified Protein Structure Prediction. TrustCom/ISPA/IUCC 2013: 966-973 - [i1]Mahmood A. Rashid, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar:
Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction. CoRR abs/1311.3840 (2013) - 2012
- [c15]Mahmood A. Rashid, Md. Tamjidul Hoque, M. A. Hakim Newton, Duc Nghia Pham, Abdul Sattar:
A New Genetic Algorithm for Simplified Protein Structure Prediction. Australasian Conference on Artificial Intelligence 2012: 107-119 - [c14]Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Tamjidul Hoque, Duc Nghia Pham, Abdul Sattar:
Random-walk: a stagnation recovery technique for simplified protein structure prediction. BCB 2012: 620-622 - [c13]Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar:
Benefits of Genetic Algorithm Feature-based Resampling for Protein Structure Prediction. BIOINFORMATICS 2012: 188-194 - [c12]Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar:
Refining Genetic Algorithm twin removal for high-resolution protein structure prediction. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j3]Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar:
Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 234-245 (2011) - 2010
- [j2]Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar, Vicky M. Avery:
DFS-generated pathways in GA crossover for protein structure prediction. Neurocomputing 73(13-15): 2308-2316 (2010) - [c11]Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar:
Genetic algorithm feature-based resampling for protein structure prediction. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j1]Tamjidul Hoque, Madhu Chetty, Abdul Sattar:
Extended HP Model for Protein Structure Prediction. J. Comput. Biol. 16(1): 85-103 (2009) - [p1]Tamjidul Hoque, Madhu Chetty, Abdul Sattar:
Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review. Biomedical Data and Applications 2009: 317-342 - 2008
- [c10]Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar:
DFS Based Partial Pathways in GA for Protein Structure Prediction. PRIB 2008: 41-53 - 2007
- [c9]Tamjidul Hoque, Madhu Chetty, Abdul Sattar:
Protein folding prediction in 3D FCC HP lattice model using genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 4138-4145 - [c8]Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. PRIB 2007: 84-97 - 2006
- [c7]Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding. Australian Conference on Artificial Intelligence 2006: 867-876 - [c6]Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model. IEEE Congress on Evolutionary Computation 2006: 2339-2346 - [c5]Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. CIBCB 2006: 1-8 - 2005
- [c4]Tamjidul Hoque, Madhu Chetty, Laurence Dooley:
A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding. Congress on Evolutionary Computation 2005: 259-266 - [c3]Tamjidul Hoque, Madhu Chetty, Laurence Dooley:
Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model. ISBMDA 2005: 346-354 - 2004
- [c2]Tamjidul Hoque, Madhu Chetty, Laurence Dooley:
An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model. HIS 2004: 285-290 - [c1]Tamjidul Hoque, Madhu Chetty, Laurence Dooley:
Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model. HIS 2004: 291-296
Coauthor Index
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last updated on 2024-11-07 21:35 CET by the dblp team
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