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
Md. Abdus Sattar
Mohammad Tanvir Irfan
Md. Abedul Haque
Dr. Md. Shohrab Hossain
Dr. Anindya Iqbal
Abu Wasif
Anupam Das
Md. Anindya Tahsin Prodhan
Md. Muhibur Rasheed
Chowdhury Sayeed Hyder
Md. Mustafizur Rahman
Sajjadur Rahman
Himel Dev

» Related Links:


» Recent Publications:

1. NabilIbtehaz, mrahman, msrahman, 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]
2. mrahman, Md.khaledurRahman, SanjaySaha, kaykobad, msrahman, Antigenic: An improved prediction model of protective antigens, Artificial Intelligence in Medicine, 94, 28-41, 2019. [paper link]
3. MdZahangirAlam, mrahman, msrahman, A Random Forest based predictor for medical data classification using feature ranking, Informatics in Medicine Unlocked, 15, 100180, 2019. [paper link]
4. ali_nayeem, mdmonirulislam, XinYao, Solving Transit Network Design Problem Using Many-Objective Evolutionary Approach, IEEE Transactions on Intelligent Transportation Systems, , , 2018. [paper link]
5. mrahman, SwakkharShatabda, SanjaySaha, kaykobad, msrahman, 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. mrahman, Md.KhaledurRahman, kaykobad, msrahman, 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]
7. SumitTarafder, Md.ToukirAhmed, sumaiya, MdTamjidulHoque, msrahman, 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]
8. KezbanDilekOnal, YeZhang, IsmailSengorAltingovde, mmrahman, PinarKaragoz, AlexBraylan, BrandonDang, Heng-LuChang, HennaKim, QuintenMcNamara, AaronAngert, EdwardBanner, VivekKhetan, TylerMcDonnell, AnThanhNguyen, DanXu, ByronC.Wallace, MaartendeRijke, MatthewLease, Neural Information Retrieval: At the End of the Early Years, Information Retrieval, , , 2017. [paper link]
9. S.M.Ferdous, msrahman, 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.KhaledurRahman, msrahman, 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. mmrahman, mdmonirulislam, KazuyukiMurase, XinYao, Layered Ensemble Architecture for Time Series Forecasting, IEEE Transactions on Systems, Man, and Cybernetics (SMC), 46(1), 270--283, 2016.
12. sumaiya, AvdeshMishra, MdTamjidulHoque, Improved prediction of accessible surface area results in efficient energy function application, Journal of Theoretical Biology, 380, 380 - 391, 2015.
13. sumaiya, kaykobad, msrahman, 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. ali_nayeem, Md.KhaledurRahman, msrahman, Transit network design by genetic algorithm with elitism, Transportation Research Part C, 46, 30-45, 2014.
15. masruba, ShahriarRouf, msrahman, A CLONALG-based Approach for the Set Covering Problem, Journal of Computers, 9(8), 1787-1795, 2014.
16. razi, V.Raghunathan, QRTT: Stateful Round Trip Time Estimation for Wireless Embedded Systems Using Q-Learning, Embedded Systems Letters (ESL), , , 2012.
17. sukarnabarua, mdmonirulislam, XinYao, KazuyukiMurase, MWMOTE: Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), , , 2012.
18. 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.
19. mahfuz, M.R.MKhondoker, C.M.Rahman, Application of artificial intelligence techniques in automatic hull form generation, Journal of Ocean Engineering, 28(12), 1531-1544, 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. mmrahman, MucahidKutlu, TamerElsayed, MatthewLease, Efficient Test Collection Construction via Active Learning, the Journal of the Association for Information Science and Technology (JASIS&T), , (under revision), 0000.
22. ZakiaZaman, Md.SabidurRahman, mahmudanaznin, VNF Requirement Prediction Using DNN and LSTM, IEEE Globecom (accepted), , 1-7, 2019.
23. MdRafidUlIslam, saifulislam, ZakariaAhmed, anindyaiqbal, rifat, Automatic Detection of NoSQL Injection Using Supervised Learning, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), , , 2019. [paper link]
24. SudiptaSahaShubha, NafisSadeq,ShafayatAhmed, Md.NahidulIslam, adnan, Md.YasinAliKhan, MohammadZuberulIslam, 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.
25. HasanMurad, tripto, eunus, 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]
26. mmrahman, MucahidKutlu, MatthewLease, Constructing Test Collections using Multi-armed Bandits and Active Learning, the 28th International World Wide Web Conference (WWW 2019), , , 2019.
27. AnanyaBhattacharjee, TanmoyPias, MahathirAhmad, ashikurrahman, 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.
28. SaadMaznur, MohammadShaown, mahmudanaznin, TanvirR.Faisal, Perception Thresholding for Noise Removal in Micrographs of Cellular Tissues Obtained from Fluorescence Microscopy, IMECE, American Society of Mechanical Engineers (ASME), , 1-6, 2018.
29. tripto, eunus, Detecting Multilabel Sentiment and Emotions from Bangla YouTube Comments, International Conference on Bangla Speech and Language Processing (ICBSLP), , 1-6, 2018. [paper link]
30. SujoyDas, sadia, saidurrahman, Proactive Humanitarian Aid Networks with Guided Topology and Small-World Effect, The fifth IEEE Region 10 (Asia Pacific) Humanitarian Technology Conference (R10HTC) 2017, , , 2017.
31. sadia, ZakiaZaman, 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), , , 2017.
32. Md.KhaledurRahman, ali_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.
33. RaushanAraDilruba, mahmudanaznin, Finding Reliable Source for Event Detection Using Evolutionary Method, Pacific Rim Knowledge Acquisition Workshop (PKAW), LNCS 9806, , 1-15, 2016.
34. RaushanAraDilruba, mahmudanaznin, SkKamruzzaman, Md.NawajishIslam, PBRE: Population Based Reliable Node Finding in Participatory Sensing, ACM MobiSys, , , 2016.
35. sadia, SikderTahsinAl-Amin, A Cloud-based Dynamic Waste Management System for Smart Cities, Proceedings of the 7th Annual Symposium on Computing for Development Article No. 20, , , 2016. [paper link]
36. mmrahman, HongningWang, Hidden Topic Sentiment Model, 25th International World Wide Web Conference (WWW 2016), , , 2016.
37. sukarnabarua, mdmonirulislam, KazuyukiMurase, GOS-IL: A Generalized Over-Sampling based Online Imbalanced Learning Framework, 22nd International Conference on Neural Information Processing (ICONIP2015), , , 2015.
38. Md.KhaledurRahman, ali_nayeem, msrahman, Transit Network Design by Hybrid Guided Genetic Algorithm With Elitism, 13th Conference on Advanced Systems in Public Transport, , , 2015.
39. sumaiya, MdNasrulIslam, MdTamjidulHoque, Improved protein disorder predictor by smoothing output, 17th International Conference on Computer and Information Technology (ICCIT),, , 110 - 115, 2014.
40. kantishubhra, mmrahman, mdmonirulislam, KazuyukiMurase, Towards better generalization in Pittsburgh Learning Classifier Systems, IEEE World Congress on Computational Intelligence (CEC 2014), , , 2014.
41. mmrahman, kantishubhra, mdmonirulislam, KazuyukiMurase, Forecasting Time Series - A Layered Ensemble Architecture, International Joint Conference on Neural Networks (IJCNN 2014), , , 2014.
42. sukarnabarua, mdmonirulislam, KazuyukiMurase, ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning, PAKDD- Pacific Asia Conference on Knowledge Discovery and Data Mining, , , 2013.
43. RaihanulIslam, mmrahman, AsifSalekin, A Novel Clustering-Based Ensemble Classification Model for Block Learning, The 2nd The International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013), , , 2013.
44. kantishubhra, sunnysajjad, yusufsarwar, Forming a Jury Board: Selecting Least Connected Users in Social Networks, Workshop on Advances in Data Management (WADM), , , 2013.
45. MohiuddinAbdulQader, sunnysajjad, masudhasan, Structured Web Search in Small Domain, 6th International Conference on Computer and Information Technology (ICCIT), , , 2013.
46. kantishubhra, sunnysajjad, SaikatChakraborty, msrahman, PIssGA: An ultra fast meta-heuristic approach to solve protein inference problem, 16th International Conference on Computer and Information Technology (ICCIT), , , 2013.
47. AzadAbdusSalam, Md.KamrulHasan, M.ArifImtiazurRahman, mmrahman, nshahriar, 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.
48. AsifSalekin, mmrahman, RaihanulIslam, Composite Pattern Matching in Time Series, The 15th International Conference on Computer & Information Technology (ICCIT 2012), , , 2012.
49. AsifSalekin, mmrahman, 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.
50. J.S.Firoz, msrahman, T.K.Saha, Bee Algorithms for Solving DNA Fragment Assembly Problem with Noisy and Noiseless data, GECCO, , , 2012.
51. sukarnabarua, mdmonirulislam, KazuyukiMurase, A Novel Synthetic Minority Oversampling Technique for Imbalanced Data Set Learning, International Conference on Neural Information Processing (ICONIP), , 735-744, 2011.
52. razi, V.Raghunathan, End-to-End Congestion Control in Wireless Mesh Networks using a Neural Network, Wireless Communications and Networking Conference (WCNC), , 677-682, 2011.
53. anupam, S.M.Abdullah, Evolving Multilayer Neural Networks using Permutation free Encoding Technique, International Conference on Artificial Intelligence, , 32-38, 2009.
54. anupam, mshohrabhossain, 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.
55. 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.
56. M.A.H.Newton, J.Levine, Wizard: Suggesting macro-actions comprehensively, Doctoral Consortium held at ICAPS, , , 2007.
57. M.A.H.Newton, J.Levine, Evolving macro-actions for planning, Workshop on AI Planning and Learning held at ICAPS, , , 2007.
58. sadia, mdmonirulislam, D.Barua, A.Mahmood, Graph Matching Recombination for Evolving Neural Networks, the European Symposium on Artificial Neural Networks, ESANN 2007, , 562-568, 2007.
59. razi, 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. LeninMehedy, A.Z.M.DayemUllah, wasif, Limited Search Oblique Decision Tree, International Conference on Computer and Information Technology, , , 2004.
67. SajibDasgupta, wasif, SharminAzam, An Optimal Way of Machine Translation from English to Bengali, International Conference on Computer and Information Technology, , , 2004.
68. 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.
69. 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.
70. wasif, MohammadSajjadHossain, Application of Normalized Gain Criterion in Multi-way Splits on Continuous Attributes for Decision Trees, International Conference on Computer and Information Technology, , , 2003.
71. 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.
72. MuhammadMahmudulIslam, ShafquatRahman, A.N.M.EhteshamRafiq, mahfuz, Online handwritten Bangla numerical recognition by grid method, International Conference on Electrical and Computer Engineering (ICECE), , 269-272, 2002.
73. 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.
74. A.A.Chowdhury, E.Ahmed, S.Ahmed, mshohrabhossain, 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.
75. 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.
76. wasif, MofizurRahmanChowdhury, Performance Improvement of Decision Trees by Application of Multiple Split Criteria, International Conference on Computer and Information Technology, , , 2001.
77. MofizurRahmanChowdhury, AyeshaAkhter, wasif, Handwritten Bangla Digit Recognition using a Neural Network, International Conference on Computer and Information Technology, , , 2000.