Research Detail:

Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning deals with a broad category of topics such as pattern recognition, digital image processing, character recognition, robotics, etc. The group specifically addresses the following topics: -Evolution Computing -Neural Networks -Image processing -Learning from Imbalanced data -Time series prediction

» Research Fields:

» Research Groups:

» Related Faculties:
 Dr. Md. Monirul Islam
 Dr. A.K.M. Ashikur Rahman
 Dr. Md. Monirul Islam
 Dr. Md. Shohrab Hossain
 Dr. Anindya Iqbal
 Dr. Rifat Shahriyar
 Md. Abdus Sattar
 Dr. Sadia Sharmin
 Mohammad Tanvir Irfan
 Md. Abedul Haque
 Abu Wasif
 Anupam Das
 Md. Anindya Tahsin Prodhan
 Md. Muhibur Rasheed
 Chowdhury Sayeed Hyder
 Md. Mustafizur Rahman
 Sajjadur Rahman
 Himel Dev
 Md. Saiful Islam

» Related Links:
 
 
 

» Recent Publications:
1. Md Zahangir Alam, Mohammad Saifur Rahman, M. Sohel Rahman, A Random Forest based predictor for medical data classification using feature ranking, Informatics in Medicine Unlocked, 15, 100180, 2019. [paper link]
2. Nabil Ibtehaz, Mohammad Saifur Rahman, M. Sohel Rahman, VFPred: A fusion of signal processing and machine learning techniques in detecting ventricular fibrillation from ECG signals, Biomedical Signal Processing and Control, 49, 349-359, 2019. [paper link]
3. Mohammad Saifur Rahman, Md. khaledur Rahman, Sanjay Saha, M. Kaykobad, M. Sohel Rahman, Antigenic: An improved prediction model of protective antigens, Artificial Intelligence in Medicine, 94, 28-41, 2019. [paper link]
4. M. A. Nayeem, Md. Monirul Islam, Xin Yao, Solving Transit Network Design Problem Using Many-Objective Evolutionary Approach, IEEE Transactions on Intelligent Transportation Systems, , , 2018. [paper link]
5. Mohammad Saifur Rahman, Swakkhar Shatabda, Sanjay Saha, M. Kaykobad, M. Sohel Rahman, DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC, Journal of Theoretical Biology, 452(7), 22-34, 2018. [paper link]
6. Sumit Tarafder, Md. Toukir Ahmed, Sumaiya Iqbal, Md Tamjidul Hoque, M. Sohel Rahman, RBSURFpred: Modeling Protein Accessible Surface Area in Real and Binary Space using Regularized and Optimized Regression, Journal of Theoretical Biology, , To Appear, 2018. [paper link]
7. Mohammad Saifur Rahman, Md. Khaledur Rahman, M. Kaykobad, M. Sohel Rahman, isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selection, Artificial Intelligence in Medicine, 84, 90-100, 2018. [paper link]
8. Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md. Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease, Neural Information Retrieval: At the End of the Early Years, Information Retrieval, , , 2017. [paper link]
9. S. M. Ferdous, M. Sohel Rahman, Solving the Minimum Common String Partition Problem with the Help of Ants, Mathematics in Computer Science, 11(2), 233–249, 2017. [paper link]
10. Md. Khaledur Rahman, M. Sohel Rahman, CRISPRpred: A flexible and efficient tool for sgRNAs on-target activity prediction in CRISPR/Cas9 systems, PLOS One, 12(8), e0181943, 2017. [paper link]
11. Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase, Xin Yao, Layered Ensemble Architecture for Time Series Forecasting, IEEE Transactions on Systems, Man, and Cybernetics (SMC), 46(1), 270--283, 2016.
12. Sumaiya Iqbal, Avdesh Mishra, Md Tamjidul Hoque, Improved prediction of accessible surface area results in efficient energy function application, Journal of Theoretical Biology, 380, 380 - 391, 2015.
13. Sumaiya Iqbal, M. Kaykobad, M. Sohel Rahman, Solving the multi-objective Vehicle Routing Problem with Soft Time Windows with the help of bees, Swarm and Evolutionary Computation, 24(-), 50-64, 2015.
14. M. Tasnim, Shahriar Rouf, M. Sohel Rahman, A CLONALG-based Approach for the Set Covering Problem, Journal of Computers, 9(8), 1787-1795, 2014.
15. M. A. Nayeem, Md. Khaledur Rahman, M. Sohel Rahman, Transit network design by genetic algorithm with elitism, Transportation Research Part C, 46, 30-45, 2014.
16. Sukarna Barua, Md. Monirul Islam, Xin Yao, Kazuyuki Murase, MWMOTE: Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), , , 2012.
17. A. B. M. Alim Al Islam, V. Raghunathan, QRTT: Stateful Round Trip Time Estimation for Wireless Embedded Systems Using Q-Learning, Embedded Systems Letters (ESL), , , 2012.
18. Mohammad Mahfuzul Islam, M. R. M Khondoker, C. M. Rahman, Application of artificial intelligence techniques in automatic hull form generation, Journal of Ocean Engineering, 28(12), 1531-1544, 2001.
19. M. M. Masud, C. M. Rahman, "Extending the Knowledge Intensive Genetic Algorithm Based Supervised Concept Learner to Adopt Continuous Attributes, Journal of Electrical Engineering, EE29(1), 33-38, 2001.
20. M. Mashnad, M. M. Masud, Simulation of the Stochastic Response of Offshore Platform to Wave Forces, Computer Methods and Advances in Geomechanics, , 1319-1323, 2001.
21. Md. Mustafizur Rahman, Mucahid Kutlu, Tamer Elsayed, Matthew Lease, Efficient Test Collection Construction via Active Learning, the Journal of the Association for Information Science and Technology (JASIS&T), , (under revision), 0000.
22. Nafis Sadeq, Shafayat Ahmed, Sudipta Saha Shubha, Md. Nahidul Islam, Muhammad Abdullah Adnan, Bangla Voice Command Recognition in End-To-End System using Topic Modeling Based Contextual Rescoring, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), , , 2020.
23. Shafayat Ahmed, Nafis Sadeq, Sudipta Saha Shubha, Md. Nahidul Islam, Muhammad Abdullah Adnan, Mohammad Zuberul Islam, Preparation of Bangla Speech Corpus from Publicly Available Audio & Text, 12th International Conference on Language Resources and Evaluation (LREC 2020), , , 2020.
24. Sumaiya Tabassum Nimi, Md. Adnan Arefeen, Muhammad Abdullah Adnan, CerebLearn: Biologically Motivated Learning Rule for Artificial Feedforward Neural Networks, International Joint Conference on Computational Intelligence (IJCCI 2019), , , 2019.
25. Zakia Zaman, Md. Sabidur Rahman, Mahmuda Naznin, A Novel Approach for VNF Requirement Prediction Using DNN and LSTM, IEEE Globecom, Hawaii, USA, , 1-7, 2019. [paper link]
26. Md Rafid Ul Islam, M. S. Islam, Zakaria Ahmed, Anindya Iqbal, Rifat Shahriyar, Automatic Detection of NoSQL Injection Using Supervised Learning, 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019, , , 2019.
27. Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam, Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language, North American Chapter of the Association for Computational Linguistics (NAACL), , 10, 2019.
28. Md. Mustafizur Rahman, Mucahid Kutlu, Matthew Lease, Constructing Test Collections using Multi-armed Bandits and Active Learning, the 28th International World Wide Web Conference (WWW 2019), , , 2019.
29. Hasan Murad, N. I. Tripto, Mohammed Eunus Ali, Developing a Bangla Currency Recognizer for Visually Impaired People, TENTH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES AND DEVELOPMENT (ICTD ’19), , 5 pages, 2019. [paper link]
30. N. I. Tripto, Mohammed Eunus Ali, Detecting Multilabel Sentiment and Emotions from Bangla YouTube Comments, International Conference on Bangla Speech and Language Processing (ICBSLP), , 1-6, 2018. [paper link]
31. Ananya Bhattacharjee, Tanmoy Pias, Mahathir Ahmad, A.K.M. Ashikur Rahman, On the Performance Analysis of APIs Recognizing Emotions from Video Images of Facial Expressions, 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, , 1-8, 2018.
32. Saad Maznur, Mohammad Shaown, Mahmuda Naznin, Tanvir R. Faisal, Perception Thresholding for Noise Removal in Micrographs of Cellular Tissues Obtained from Fluorescence Microscopy, IMECE, American Society of Mechanical Engineers (ASME), Pittsburgh, USA, , 1-6, 2018. [paper link]
33. Sujoy Das, S. Sharmin, Md. Saidur Rahman, Proactive Humanitarian Aid Networks with Guided Topology and Small-World Effect, The fifth IEEE Region 10 (Asia Pacific) Humanitarian Technology Conference (R10HTC) 2017, 1(1), 682-685, 2017. [paper link]
34. S. Sharmin, Zakia Zaman, Spam Detection in Social Media Employing Machine Learning Tool for Text Mining, 13th International Conference on Signal Image Technology and Internet-Based Systems (SITIS 2017), 1, 137-142, 2017. [paper link]
35. Md. Khaledur Rahman, M. A. Nayeem, Finding suitable places for live campaigns using location-based services, 4th International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, , 7:1--7:6, 2017.
36. S. Sharmin, Sikder Tahsin Al-Amin, A Cloud-based Dynamic Waste Management System for Smart Cities, Proceedings of the 7th Annual Symposium on Computing for Development , 1(20), 1-4, 2016. [paper link]
37. Raushan Ara Dilruba, Mahmuda Naznin, Sk Kamruzzaman, Md. Nawajish Islam, PBRE: Population Based Reliable Node Finding in Participatory Sensing, ACM MobiSys, , , 2016.
38. Raushan Ara Dilruba, Mahmuda Naznin, Finding Reliable Source for Event Detection Using Evolutionary Method, Pacific Rim Knowledge Acquisition Workshop (PKAW), LNCS 9806, , 1-15, 2016. [paper link]
39. Md. Mustafizur Rahman, Hongning Wang, Hidden Topic Sentiment Model, 25th International World Wide Web Conference (WWW 2016), , , 2016.
40. Sukarna Barua, Md. Monirul Islam, Kazuyuki Murase, GOS-IL: A Generalized Over-Sampling based Online Imbalanced Learning Framework, 22nd International Conference on Neural Information Processing (ICONIP2015), , , 2015.
41. Md. Khaledur Rahman, M. A. Nayeem, M. Sohel Rahman, Transit Network Design by Hybrid Guided Genetic Algorithm With Elitism, 13th Conference on Advanced Systems in Public Transport, , , 2015.
42. Sumaiya Iqbal, Md Nasrul Islam, Md Tamjidul Hoque, Improved protein disorder predictor by smoothing output, 17th International Conference on Computer and Information Technology (ICCIT),, , 110 - 115, 2014.
43. S. K. K. Santu, Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase, Towards better generalization in Pittsburgh Learning Classifier Systems, IEEE World Congress on Computational Intelligence (CEC 2014), , , 2014.
44. Md. Mustafizur Rahman, S. K. K. Santu, Md. Monirul Islam, Kazuyuki Murase, Forecasting Time Series - A Layered Ensemble Architecture, International Joint Conference on Neural Networks (IJCNN 2014), , , 2014.
45. S. K. K. Santu, S. Rahman, Md. Yusuf Sarwar Uddin, Forming a Jury Board: Selecting Least Connected Users in Social Networks, Workshop on Advances in Data Management (WADM), , , 2013.
46. Mohiuddin Abdul Qader, S. Rahman, Masud Hasan, Structured Web Search in Small Domain, 6th International Conference on Computer and Information Technology (ICCIT), , , 2013.
47. S. K. K. Santu, S. Rahman, Saikat Chakraborty , M. Sohel Rahman, PIssGA: An ultra fast meta-heuristic approach to solve protein inference problem, 16th International Conference on Computer and Information Technology (ICCIT), , , 2013.
48. Sukarna Barua, Md. Monirul Islam, Kazuyuki Murase, ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning, PAKDD- Pacific Asia Conference on Knowledge Discovery and Data Mining, , , 2013.
49. Raihanul Islam, Md. Mustafizur Rahman, Asif Salekin, A Novel Clustering-Based Ensemble Classification Model for Block Learning, The 2nd The International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013), , , 2013.
50. Azad Abdus Salam, Md. Kamrul Hasan, M.Arif Imtiazur Rahman, Md. Mustafizur Rahman, Nashid Shahriar, Changing trends of climate in Bangladesh and a noble procedure of distribution of rainfall by clustering, International Conference on Statistical Data Mining for Bioinformatics Health Agriculture and Environment, , , 2012.
51. Asif Salekin, Md. Mustafizur Rahman, Raihanul Islam, Composite Pattern Matching in Time Series, The 15th International Conference on Computer & Information Technology (ICCIT 2012), , , 2012.
52. Asif Salekin, Md. Mustafizur Rahman, Pattern Matching In Time Series Using Combination Of Neural Network And Rule Based Approach, The 7th International Conference on Electrical & Computer Engineering (ICECE 2012), , , 2012.
53. J. S. Firoz, M. Sohel Rahman, T. K. Saha, Bee Algorithms for Solving DNA Fragment Assembly Problem with Noisy and Noiseless data, GECCO, , , 2012.
54. A. B. M. Alim Al Islam, V. Raghunathan, End-to-End Congestion Control in Wireless Mesh Networks using a Neural Network, Wireless Communications and Networking Conference (WCNC), , 677-682, 2011.
55. Sukarna Barua, Md. Monirul Islam, Kazuyuki Murase, A Novel Synthetic Minority Oversampling Technique for Imbalanced Data Set Learning, International Conference on Neural Information Processing (ICONIP), , 735-744, 2011.
56. Anupam Das, S. M. Abdullah, Evolving Multilayer Neural Networks using Permutation free Encoding Technique, International Conference on Artificial Intelligence, , 32-38, 2009.
57. Anupam Das, Md. Shohrab Hossain, S. M. Abdullah, R. Islam, Permutation Free Encoding Technique for Evolving Neural Networks, 5th international symposium on Neural Networks: Advances in Neural Networks, , 255-265, 2008.
58. S. Sharmin, Md. Monirul Islam, D. Barua, A. Mahmood, Graph Matching Recombination for Evolving Neural Networks, Proceedings of the European Symposium on Artificial Neural Networks, ESANN 2007, 4492(1), 562-568, 2007. [paper link]
59. M. A. H. Newton, J. Levine, M. Fox, D. Long, Learning macro-actions for arbitrary planners and domains, Seventeenth International Conference on Automated Planning and Scheduling (ICAPS 07), , , 2007.
60. M. A. H. Newton, J. Levine, Wizard: Suggesting macro-actions comprehensively, Doctoral Consortium held at ICAPS, , , 2007.
61. M. A. H. Newton, J. Levine, Evolving macro-actions for planning, Workshop on AI Planning and Learning held at ICAPS, , , 2007.
62. A. B. M. Alim Al Islam, Md. A. Azad, Md. K. Alam, Md. S. Alam, Security Attack Detection using Genetic Algorithm (GA) in Policy Based Network, International Conference on Information and Communication Technology (ICICT), , 341-347, 2007.
63. A. Bhattacharjee, Z. Shams, K. Z. Sultana, New Constraints on Generation of Uniform Random Samples from Evolutionary Trees, Canadian Conference on Electrical and Computer Engineering, , 115-118, 2006.
64. A. Bhattacharjee, K. Z. Sultana, Z. Shams, Dynamic and Parallel Approaches to Optimal Evolutionary Tree Construction, Canadian Conference on Electrical and Computer Engineering, , 119-122, 2006.
65. M. M. Masud, L. Khan, E. Al-Shaer, Email Worm Detection using Naive Bayes and Support Vector Machine, IEEE International Conference on Intelligence and Security Informatics, ISI, , 733-734, 2006.
66. M.A.H. Newton, J. Levine, M. Fox, Genetically Evolved Macro-Actions in AI Planning Problems, 24th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG), , , 2005.
67. Lenin Mehedy, A.Z.M. Dayem Ullah, Abu Wasif, Limited Search Oblique Decision Tree, International Conference on Computer and Information Technology, , , 2004.
68. Sajib Dasgupta, Abu Wasif, Sharmin Azam, An Optimal Way of Machine Translation from English to Bengali, International Conference on Computer and Information Technology, , , 2004.
69. M.M. Masud, Combined Evolution Model: Integrating Machine Learning, Simulated Annealing and Evolutionary Computing, 5th International Conference on Recent Advances in Soft Computing (RASC), , 428-435, 2004.
70. M.A. Ali, M. M. Masud, C.M. Rahman, Implementation of ID3 Algorithm by Coverage Vector, Seventh International Conference on Computers and Information Technology (ICCIT), , 93-97, 2004.
71. Abu Wasif, Mohammad Sajjad Hossain, Application of Normalized Gain Criterion in Multi-way Splits on Continuous Attributes for Decision Trees, International Conference on Computer and Information Technology, , , 2003.
72. M. M. Hasan, C. M. Rahman, Text Categorization using Association Rule Based Decision Tree, 6th International Conference on Computer and Information Technology (ICCIT), , 453-456, 2003.
73. J. U. Mahmud, M. F. Raihan, C. M. Rahman, A Complete OCR for Continuous Bengali Characters, Conference on Convergent Technologies for the Asia-Pacific, , 1372 - 1376 Vol.4, 2003.
74. M. M. Masud, C. M. Rahman, Application of Minimum Description Length Principle to Genetic Algorithm based Concept Learner, Sixth International Conference on Computers and Information Technology (ICCIT), , 47-52, 2003.
75. Muhammad Mahmudul Islam, Shafquat Rahman, A. N. M. Ehtesham Rafiq, Mohammad Mahfuzul Islam, Online handwritten Bangla numerical recognition by grid method, International Conference on Electrical and Computer Engineering (ICECE), , 269-272, 2002.
76. S. Ahmed, M. Sharmin, C. M. Rahman, A Generic Thinning Algorithm with Better Performance, Fifth International Conference on Computer and Information Technology (ICCIT 2002), , 241-246, 2002.
77. A. A. Chowdhury, E. Ahmed, S. Ahmed, Md. Shohrab Hossain, C.M. Rahman, Optical Character Recognition of Bangla Characters using Neural Network: A Better Approach, 2nd International Conference on Electrical Engineering (ICEE 2002), , 145-152, 2002.
78. Abu Wasif, Mofizur Rahman Chowdhury, Performance Improvement of Decision Trees by Application of Multiple Split Criteria, International Conference on Computer and Information Technology, , , 2001.
79. M. M. Masud, C. M. Rahman, Extending the Knowledge Intensive Genetic Algorithm Based Supervised Concept Learner to Adopt Continuous Attributes, The Fourth International Conference on Computer and Information Technology (ICCIT 2001), , 348-353, 2001.
80. Mofizur Rahman Chowdhury, Ayesha Akhter, Abu Wasif, Handwritten Bangla Digit Recognition using a Neural Network, International Conference on Computer and Information Technology, , , 2000.