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ORCIDAbdul Sattar 0001
Person information
- affiliation: Griffith University, Brisbane, Queensland, Australia
Other persons with the same name
- Abdul Sattar 0002 — Bridgewater State College, Bridgewater, Massachusetts, USA
- Abdul Sattar 0003 — Supélec, Ecole Supérieur d'Electricité, France
- Abdul Sattar 0004 — German Center for Neurodegenerative Diseases, Göttingen, Germany (and 1 more)
- Abdul Sattar 0005
![[0000-0001-5248-6741]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5248-6741")
— Khwaja Fareed University of Engineering & Information Technology, Department of Computer Science, Rahim Yar Khan, Pakistan (and 1 more) - Abdul Sattar 0006 — RMIT University, Melbourne, Australia
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2020 – today
- 2023
[j81]Thanh Trung Huynh, Chi Thang Duong, Thanh Tam Nguyen, Tong Van Vinh, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment With Holistic Embeddings. IEEE Trans. Knowl. Data Eng. 35(2): 1881-1894 (2023)- 2022
- [j80]Rianon Zaman, M. A. Hakim Newton, Fereshteh Mataeimoghadam, Abdul Sattar:
Constraint Guided Neighbor Generation for Protein Structure Prediction. IEEE Access 10: 54991-55001 (2022) - [j79]M. A. Hakim Newton, Fereshteh Mataeimoghadam, Rianon Zaman, Abdul Sattar:
Secondary structure specific simpler prediction models for protein backbone angles. BMC Bioinform. 23(1): 6 (2022) - [j78]M. A. Hakim Newton, Julia Rahman, Rianon Zaman, Abdul Sattar:
Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors. Comput. Biol. Chem. 99: 107700 (2022) - [j77]M. A. Hakim Newton, Rianon Zaman, Fereshteh Mataeimoghadam, Julia Rahman, Abdul Sattar:
Constraint Guided Beta-Sheet Refinement for Protein Structure Prediction. Comput. Biol. Chem. 101: 107773 (2022) - [j76]Julia Rahman, M. A. Hakim Newton, Md. Al Mehedi Hasan, Abdul Sattar:
A stacked meta-ensemble for protein inter-residue distance prediction. Comput. Biol. Medicine 148: 105824 (2022) - [j75]Md. Khaled Ben Islam, M. A. Hakim Newton, Julia Rahman, Jarrod Trevathan, Abdul Sattar:
Long range multi-step water quality forecasting using iterative ensembling. Eng. Appl. Artif. Intell. 114: 105166 (2022) - [j74]Jarrod Trevathan, Wayne Read, Abdul Sattar:
Implementation and Calibration of an IoT Light Attenuation Turbidity Sensor. Internet Things 19: 100576 (2022) - [j73]Blake Rawlins, Jarrod Trevathan, Abdul Sattar:
Embedded fog models for remote aquatic environmental monitoring. Internet Things 20: 100621 (2022) - [c199]Rianon Zaman, M. A. Hakim Newton, Fereshteh Mataeimoghadam, Abdul Sattar:
Tailoring Contact Based Scoring Functions for Protein Structure Prediction. AI 2022: 155-168 - [c198]Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment with Holistic Embeddings (Extended Abstract). ICDE 2022: 1509-1510 - [i18]Francesco Olivieri, Guido Governatori, Matteo Cristani, Antonino Rotolo, Abdul Sattar:
Deontic Meta-Rules. CoRR abs/2209.12655 (2022) - 2021
- [j72]M. A. Hakim Newton, Md. Masbaul Alam, Duc Nghia Pham, John Thornton, Kaile Su, Abdul Sattar:
Evaluating logic gate constraints in local search for structured satisfiability problems. Artif. Intell. Rev. 54(7): 5347-5411 (2021) - [j71]Vahid Riahi, M. A. Hakim Newton, Abdul Sattar:
A scatter search algorithm for time-dependent prize-collecting arc routing problems. Comput. Oper. Res. 134: 105392 (2021) - [j70]Vahid Riahi, M. A. Hakim Newton, Abdul Sattar:
Constraint based local search for flowshops with sequence-dependent setup times. Eng. Appl. Artif. Intell. 102: 104264 (2021) - [j69]Jarrod Trevathan, Simon Schmidtke, Wayne Read, Tony Sharp, Abdul Sattar:
An IoT General-Purpose Sensor Board for Enabling Remote Aquatic Environmental Monitoring. Internet Things 16: 100429 (2021) - [j68]Abdul Karim, Matthew Lee, Thomas Balle, Abdul Sattar:
CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles. J. Cheminformatics 13(1): 60 (2021) - [c197]Francesco Olivieri, Guido Governatori, Matteo Cristani, Abdul Sattar:
Computing Defeasible Meta-logic. JELIA 2021: 69-84 - [c196]Guido Governatori, Francesco Olivieri, Antonino Rotolo, Abdul Sattar, Matteo Cristani:
Computing Private International Law. JURIX 2021: 181-190 - [c195]Fereshteh Mataeimoghadam, M. A. Hakim Newton, Rianon Zaman, Abdul Sattar:
Improving Protein Backbone Angle Prediction Using Hidden Markov Models in Deep Learning. PRICAI (1) 2021: 239-251 - 2020
- [j67]Nasser R. Sabar, Ayad Turky, Andy Song, Abdul Sattar:
An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction. Appl. Soft Comput. 97(Part B): 105510 (2020) - [j66]Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su:
Dropout with Tabu Strategy for Regularizing Deep Neural Networks. Comput. J. 63(7): 1031-1038 (2020) - [j65]Thanh Trung Huynh, Nguyen Thanh Toan, Van Vinh Tong, Thanh Dat Hoang, Duong Chi Thang, Nguyen Quoc Viet Hung, Abdul Sattar:
A comparative study on network alignment techniques. Expert Syst. Appl. 140 (2020) - [c194]Jarrod Trevathan, Wayne Read, Abdul Sattar, Simon Schmidtke, Tony Sharp:
The Virtual Sensor Concept : Separating Sensor Software from the Hardware. IEEE SENSORS 2020: 1-4 - [c193]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
Surrogate Assisted Optimisation for Travelling Thief Problems. SOCS 2020: 111-115 - [i17]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
Surrogate Assisted Optimisation for Travelling Thief Problems. CoRR abs/2005.06695 (2020)
2010 – 2019
- 2019
- [j64]Vahid Riahi, M. A. Hakim Newton, Kaile Su, Abdul Sattar:
Constraint guided accelerated search for mixed blocking permutation flowshop scheduling. Comput. Oper. Res. 102: 102-120 (2019) - [j63]Vahid Riahi, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Tailoring customer order scheduling search algorithms. Comput. Oper. Res. 108: 155-165 (2019) - [j62]M. A. Hakim Newton, Vahid Riahi, Kaile Su, Abdul Sattar:
Scheduling blocking flowshops with setup times via constraint guided and accelerated local search. Comput. Oper. Res. 109: 64-76 (2019) - [j61]M. A. Hakim Newton, Vahid Riahi, Abdul Sattar:
Makespan preserving flowshop reengineering via blocking constraints. Comput. Oper. Res. 112 (2019) - [j60]Vahid Riahi, M. A. Hakim Newton, Md. Masbaul Alam, Kaile Su, Abdul Sattar:
Constraint guided search for aircraft sequencing. Expert Syst. Appl. 118: 440-458 (2019) - [j59]Avinash Mishra, Megan Cross, Andreas Hofmann, Mark J. Coster, Abdul Karim, Abdul Sattar:
Identification of a Novel Scaffold for Inhibition of Dipeptidyl Peptidase-4. J. Comput. Biol. 26(12): 1470-1486 (2019) - [c192]Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar:
Toxicity Prediction by Multimodal Deep Learning. PKAW 2019: 142-152 - [c191]Vahid Riahi, M. A. Hakim Newton, Abdul Sattar:
Exploiting Setup Time Constraints in Local Search for Flowshop Scheduling. PRICAI (2) 2019: 379-392 - [c190]Thanh Trung Huynh, Van Vinh Tong, Chi Thang Duong, Huynh Quyet Thang, Quoc Viet Hung Nguyen, Abdul Sattar:
Network Alignment by Representation Learning on Structure and Attribute. PRICAI (2) 2019: 698-711 - [c189]Majid Namazi, M. A. Hakim Newton, Abdul Sattar, Conrad Sanderson:
A Profit Guided Coordination Heuristic for Travelling Thief Problems. SOCS 2019: 140-144 - [i16]Abdul Karim, Avinash Mishra, M. A. Hakim Newton, Abdul Sattar:
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees. CoRR abs/1901.09240 (2019) - [i15]Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar:
Toxicity Prediction by Multimodal Deep Learning. CoRR abs/1907.08333 (2019) - [i14]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
A Cooperative Coordination Solver for Travelling Thief Problems. CoRR abs/1911.03124 (2019) - 2018
- [c188]Vahid Riahi, M. A. Hakim Newton, Kaile Su, Abdul Sattar:
Local Search for Flowshops with Setup Times and Blocking Constraints. ICAPS 2018: 199-207 - [c187]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Diversified Late Acceptance Search. Australasian Conference on Artificial Intelligence 2018: 299-311 - [c186]Vahid Riahi, M. A. Hakim Newton, Abdul Sattar:
Constraint-Guided Local Search for Single Mixed-Operation Runway. Australasian Conference on Artificial Intelligence 2018: 329-341 - [c185]Benjamin Cowley, John Thornton, Linda Main, Abdul Sattar:
Precision without Precisions: Handling uncertainty with a single predictive model. ALIFE 2018: 129-136 - [c184]Vahid Riahi, Md. Masbaul Alam, M. A. Hakim Newton, Abdul Sattar:
Mixed Neighbourhood Local Search for Customer Order Scheduling Problem. PRICAI (1) 2018: 296-309 - [i13]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Diversified Late Acceptance Search. CoRR abs/1806.09328 (2018) - [i12]Abdul Karim, Avinash Mishra, M. A. Hakim Newton, Abdul Sattar:
Machine Learning Interpretability: A Science rather than a tool. CoRR abs/1807.06722 (2018) - [i11]Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su:
Dropout with Tabu Strategy for Regularizing Deep Neural Networks. CoRR abs/1808.09907 (2018) - 2017
- [j58]Md. Masbaul Alam Polash, M. A. Hakim Newton, Abdul Sattar:
Constraint-directed search for all-interval series. Constraints An Int. J. 22(3): 403-431 (2017) - [j57]Vahid Riahi, Mostafa Khorramizadeh, M. A. Hakim Newton, Abdul Sattar:
Scatter search for mixed blocking flowshop scheduling. Expert Syst. Appl. 79: 20-32 (2017) - [j56]Md. Masbaul Alam, M. A. Hakim Newton, Abdul Sattar:
Constraint-based search for optimal Golomb rulers. J. Heuristics 23(6): 501-532 (2017) - [j55]Nina Ghanbari Ghooshchi, Majid Namazi, M. A. Hakim Newton, Abdul Sattar:
Encoding Domain Transitions for Constraint-Based Planning. J. Artif. Intell. Res. 58: 905-966 (2017) - [c183]Qingliang Chen, Xiaowei Huang, Kaile Su, Abdul Sattar:
Quantified Coalition Logic of Knowledge, Belief and Certainty. Canadian Conference on AI 2017: 351-360 - [c182]Zongjie Ma, Yi Fan, Kaile Su, Chengqian Li, Abdul Sattar:
Deterministic Tournament Selection in Local Search for Maximum Edge Weight Clique on Large Sparse Graphs. Australasian Conference on Artificial Intelligence 2017: 353-364 - [c181]Nasser R. Sabar, Ayad Turky, Andy Song, Abdul Sattar:
Optimising Deep Belief Networks by hyper-heuristic approach. CEC 2017: 2738-2745 - [c180]Benjamin Cowley, John Thornton, Linda Main, Abdul Sattar:
Dynamic thresholds for self-organizing predictive cells. ECAL 2017: 114-121 - [c179]Nina Ghanbari Ghooshchi, Nick van Beest, Guido Governatori, Francesco Olivieri, Abdul Sattar:
Visualisation of Compliant Declarative Business Processes. EDOC 2017: 89-94 - [c178]Zahra ShahabiKargar, Sankalp Khanna, Abdul Sattar, James Lind:
Improved Prediction of Procedure Duration for Elective Surgery. HIC 2017: 133-138 - [c177]Zhiqiang Zhuang, James P. Delgrande, Abhaya C. Nayak, Abdul Sattar:
A Unifying Framework for Probabilistic Belief Revision. IJCAI 2017: 1370-1376 - [c176]Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Evolutionary Learning Based Iterated Local Search for Google Machine Reassignment Problems. SEAL 2017: 409-421 - [c175]Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem. SEAL 2017: 706-715 - 2016
- [j54]Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. 32(6): 843-849 (2016) - [j53]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) - [j52]Qingliang Chen, Kaile Su, Abdul Sattar, Xiangyu Luo, Aixiang Chen:
A first-order coalition logic for BDI-agents. Frontiers Comput. Sci. 10(2): 233-245 (2016) - [j51]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) - [j50]Luca Anselma, Luca Piovesan, Abdul Sattar, Bela Stantic, Paolo Terenziani:
A Comprehensive Approach to 'Now' in Temporal Relational Databases: Semantics and Representation. IEEE Trans. Knowl. Data Eng. 28(10): 2538-2551 (2016) - [c174]Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song:
Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem. Australasian Conference on Artificial Intelligence 2016: 163-174 - [c173]Yi Fan, Chengqian Li, Zongjie Ma, Lian Wen, Abdul Sattar, Kaile Su:
Local Search for Maximum Vertex Weight Clique on Large Sparse Graphs with Efficient Data Structures. Australasian Conference on Artificial Intelligence 2016: 255-267 - [c172]Majid Namazi, Nina Ghanbari Ghooshchi, M. A. Hakim Newton, Abdul Sattar:
Assignment Precipitation in Fail First Search. Australasian Conference on Artificial Intelligence 2016: 281-287 - [c171]Zhiqiang Zhuang, James P. Delgrande, Abhaya C. Nayak, Abdul Sattar:
Reconsidering AGM-Style Belief Revision in the Context of Logic Programs. ECAI 2016: 671-679 - [c170]Zongjie Ma, Yi Fan, Kaile Su, Chengqian Li, Abdul Sattar:
Random Walk in Large Real-World Graphs for Finding Smaller Vertex Cover. ICTAI 2016: 686-690 - [c169]Tadiparthi V. R. Himabindu, Vineet Padmanabhan, Arun K. Pujari, Abdul Sattar:
Prediction with Confidence in Item Based Collaborative Filtering. PRICAI 2016: 125-138 - [c168]Zongjie Ma, Yi Fan, Kaile Su, Chengqian Li, Abdul Sattar:
Local Search with Noisy Strategy for Minimum Vertex Cover in Massive Graphs. PRICAI 2016: 283-294 - [i10]Zhiqiang Zhuang, James P. Delgrande, Abhaya C. Nayak, Abdul Sattar:
A New Approach for Revising Logic Programs. CoRR abs/1603.09465 (2016) - [i9]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) - 2015
- [j49]Lukas Folkman, Yuedong Yang, Zhixiu Li, Bela Stantic, Abdul Sattar, Matthew E. Mort, David N. Cooper, Yunlong Liu, Yaoqi Zhou:
DDIG-in: detecting disease-causing genetic variations due to frameshifting indels and nonsense mutations employing sequence and structural properties at nucleotide and protein levels. Bioinform. 31(10): 1599-1606 (2015) - [j48]Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. 16(S-4): S1 (2015) - [j47]Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. 11(1): 115-138 (2015) - [c167]Nina Ghanbari Ghooshchi, Majid Namazi, M. A. Hakim Newton, Abdul Sattar:
Transition Constraints for Parallel Planning. AAAI 2015: 3268-3274 - [c166]Luca Anselma, Luca Piovesan, Abdul Sattar, Bela Stantic, Paolo Terenziani:
A General Approach to Represent and Query Now-Relative Medical Data in Relational Databases. AIME 2015: 327-331 - [c165]Kinzang Chhogyal, Abhaya C. Nayak, Abdul Sattar:
Probabilistic Belief Contraction: Considerations on Epistemic Entrenchment, Probability Mixtures and KL Divergence. Australasian Conference on Artificial Intelligence 2015: 109-122 - [c164]Md. Masbaul Alam Polash, M. A. Hakim Newton, Abdul Sattar:
Constraint-Based Local Search for Golomb Rulers. CPAIOR 2015: 322-331 - [c163]Kushal Ahmed, Lian Wen, Abdul Sattar, Reza Farid:
Semantic Network Model: A Reasoning Engine for Software Requirements. ICECCS 2015: 194-197 - [c162]Kinzang Chhogyal, Abhaya C. Nayak, Zhiqiang Zhuang, Abdul Sattar:
Probabilistic Belief Contraction Using Argumentation. IJCAI 2015: 2854-2860 - [c161]Kinzang Chhogyal, Abhaya C. Nayak, Abdul Sattar:
On the KL Divergence of Probability Mixtures for Belief Contraction. KI 2015: 249-255 - [i8]Yi Fan, Chengqian Li, Zongjie Ma, Ljiljana Brankovic, Vladimir Estivill-Castro, Abdul Sattar:
Exploiting Reduction Rules and Data Structures: Local Search for Minimum Vertex Cover in Massive Graphs. CoRR abs/1509.05870 (2015) - [i7]Mahmood A. Rashid, Firas Khatib, Abdul Sattar:
Protein preliminaries and structure prediction fundamentals for computer scientists. CoRR abs/1510.02775 (2015) - 2014
- [j46]Swakkhar Shatabda, M. A. Hakim Newton, Mahmood A. Rashid, Duc Nghia Pham, Abdul Sattar:
How Good Are Simplified Models for Protein Structure Prediction? Adv. Bioinformatics 2014: 867179:1-867179:9 (2014) - [j45]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) - [j44]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. 15(S-1): S2 (2014) - [j43]Lukas Folkman, Bela Stantic, Abdul Sattar:
Towards sequence-based prediction of mutation-induced stability changes in unseen non-homologous proteins. BMC Genom. 15(S-1): S4 (2014) - [j42]James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. 35(28): 2040-2046 (2014) - [j41]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 510-519 (2014) - [c160]Kushal Ahmed, M. A. Hakim Newton, Lian Wen, Abdul Sattar:
Formalisation of the integration of behavior trees. ASE 2014: 779-784 - [c159]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 - [c158]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Constraint-Based Evolutionary Local Search for Protein Structures with Secondary Motifs. PRICAI 2014: 333-344 - [c157]Kinzang Chhogyal, Abhaya C. Nayak, Rolf Schwitter, Abdul Sattar:
Probabilistic Belief Revision via Imaging. PRICAI 2014: 694-707 - [c156]Zahra ShahabiKargar, Sankalp Khanna, Norm Good, Abdul Sattar, James Lind, John O'Dwyer:
Predicting Procedure Duration to Improve Scheduling of Elective Surgery. PRICAI 2014: 998-1009 - [i6]Mahmood A. Rashid, Md. Tamjidul Hoque, Abdul Sattar:
Association Rules Mining Based Clinical Observations. CoRR abs/1401.2571 (2014) - [i5]Kaile Su, Abdul Sattar, Guanfeng Lv, Yan Zhang:
Variable Forgetting in Reasoning about Knowledge. CoRR abs/1401.3472 (2014) - [i4]Kushal Ahmed, Toby Myers, Lian Wen, Abdul Sattar:
Detecting Requirements Defects Utilizing A Mathematical Framework for Behavior Engineering. CoRR abs/1401.5198 (2014) - [i3]Shaowei Cai, Kaile Su, Chuan Luo, Abdul Sattar:
NuMVC: An Efficient Local Search Algorithm for Minimum Vertex Cover. CoRR abs/1402.0584 (2014) - 2013
- [j40]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) - [j39]Swakkhar Shatabda, M. A. Hakim Newton, Mahmood A. Rashid, Duc Nghia Pham, Abdul Sattar:
The road not taken: retreat and diverge in local search for simplified protein structure prediction. BMC Bioinform. 14(S-2): S19 (2013) - [j38]Lukas Folkman, Bela Stantic, Abdul Sattar:
Sequence-only evolutionary and predicted structural features for the prediction of stability changes in protein mutants. BMC Bioinform. 14(S-2): S6 (2013) - [j37]Shaowei Cai, Kaile Su, Chuan Luo, Abdul Sattar:
NuMVC: An Efficient Local Search Algorithm for Minimum Vertex Cover. J. Artif. Intell. Res. 46: 687-716 (2013) - [j36]Paolo Terenziani, Bela Stantic, Alessio Bottrighi, Abdul Sattar:
An intensional approach for periodic data in relational databases. J. Intell. Inf. Syst. 41(2): 151-186 (2013) - [j35]Luca Anselma, Bela Stantic, Paolo Terenziani, Abdul Sattar:
Querying now-relative data. J. Intell. Inf. Syst. 41(2): 285-311 (2013) - [c155]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Mixed Heuristic Local Search for Protein Structure Prediction. AAAI 2013 - [c154]Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Simplified Lattice Models for Protein Structure Prediction: How Good Are They? AAAI 2013 - [c153]Abdollah Dehzangi, Abdul Sattar:
Ensemble of Diversely Trained Support Vector Machines for Protein Fold Recognition. ACIIDS (1) 2013: 335-344 - [c152]Abdollah Dehzangi, Abdul Sattar:
Protein Fold Recognition Using Segmentation-Based Feature Extraction Model. ACIIDS (1) 2013: 345-354 - [c151]Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar:
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence 2013: 32-43 - [c150]