Publications

 

List of Publications:

Google scholar page M. Yeasin

Peer reviewed journal publications:

  1. M. M. Rahman, A.S.M. I. Anam, and M. Yeasin, (2016). “EmoAssist: Emotion Enabled Assistive Tool to Enhance Dyadic Conversation for the Visually Impaired,” Multimedia Tools Appllication, pp. 1-32, DOI 10.1007/s11042-016-3295-4.
  2. K. M. M. Rahman and M. Yeasin, (2015). “A Unified Framework for Dividing and Predicting a Large Set of Action Units,” IEEE Trans. Affect. Computing., DOI 10.1109/TAFFC.2015.2465373, pp. 2015.
  3. Alam, A.S.M. I. Anam, and M. Yeasin. (2015). “O’Map: An Assistive Solution for Identifying and Localizing Objects in a Semi-Structured Environment.” Journal on Technology & Persons with Disabilities Volume 3, pp. 204, 2015.
  4. Abedi, M. Yeasin M and R. Zand. (2014). Empirical Study using Network of Semantically Related Associations in Bridging the Knowledge Gap. Journal of Translational Medicine, 12:324 doi:10.1186/s12967-014-0324-9, 2014.
  5. Bashivan, GM Bidelman and M. Yeasin M (2014). Spectro-temporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. European Journal of Neuroscience, DOI: 0.1111/ejn.12749.
  6. Hossain and M. Yeasin, “Cognitive Ability-Demand Gap Analysis with Latent Response Models” IEEE Transactions on ACCESS, pp. 711-724, DOI: 10.1109/ACCESS.2014.2339328.
  7. Abedi, R. Zand, M. Yeasin and F.E. Faisal,” (2012). An Automated Framework for Hypotheses Generation Using Literature”, Journal of Biodatamining, BioData Min. Vol.29;5(1):13. doi: 10.1186/1756-0381-5-13, 2012.  
  8. Shaik, M. Yeasin, D. Russomanno, “Evaluation of Supervised and Unsupervised 3D Star Visualization Algorithms”, International Journal of Data Mining and Bioinformatics, in press, 2012.
  9. Maqsood Hayat, Asifullah Khan and Mohammed Yeasin, “Prediction of membrane proteins using split amino acid and ensemble classification” AMINO ACIDS, Volume 42, Number 6(2012), pp. 2447-2460, DOI: 10.1007/s00726-011-1053-5, 2011.  [Times cited: 16]
  10. Shaik and M. Yeasin, “Fuzzy Adaptive Subspace Iteration-based Two-way Clustering of Microarray Data,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume:6, Issue: 2 Page(s): 244 – 259, 2009. [Times cited: 4]
  11. C. Vanteru, J.S. Shaik and M. Yeasin, “Semantically linking and browsing PubMed abstracts with gene ontology,” BMC Genomics, 9:S10, doi:10.1186/1471-2164-9-S1-S10, 2008. [Times cited: 38]
  12. S. Shaik and M. Yeasin, “A Unified Framework for Finding Differentially Expressed Genes from Microarray Experiments”, BMC Bioinformatics, Vol. 8, 347, doi: 10.1186/1471-2105-8-347, 2007. [Times cited: 22]
  13. S. Shaik and M. Yeasin, “A Unified Framework for Finding Differentially Expressed Genes from MPTP Mouse Model for Parkinson’s Disease,” Journal of Bioinformatics, Vol. 8, pp. 84-98, 2007.
  14. Yeasin, B. Bullot and R. Sharma, “Recognition of Facial Expressions and Measurement of Levels of Interest from Video,” IEEE transactions on Multimedia, Vol. 8(3), pp.500-508, 2006. [Times cited: 172]
  15. Kettebekov and M. Yeasin, and R. Sharma, “Prosody-based Audio Visual co-analysis for co-verbal gesture recognition,” IEEE Transactions on Multimedia, Vol. 7(2), pp. 234-242, 2005. [Times cited: 28]
  16. Yeasin, Ediz Polat and Rajeev Sharma, “A multi-object Tracking Framework for interactive Multimedia Applications,” IEEE Transactions on Multimedia, (Special Issue on Multimodal Interfaces and Applications), Vol. 6 (3), pp. 398-405, 2004. [Times cited: 15]
  17. Sharma, M. Yeasin, N. Krahnstöver, I. Rauschert, G. Cai, I. Brewer, A. MacEachren and K. Sengupta, “Speech-Gesture Driven Multimodal Interfaces for Crisis Management,” Proceedings of IEEE (special issue on Multimodal Human-Computer Interface), Vol.91 (9), pp.1327-135, 2003. [Times cited: 112]
  18. Krahnstöver, M. Yeasin and R. Sharma, “Automatic Acquisition and Initialization of Articulated Models,” Machine Vision and Applications, Vol. 14(3), pp. 218-228, 2003. [Times cited: 31]
  19. Polat, M. Yeasin, R. Sharma, “A 2D/3D Model-Based Object Tracking Framework,Pattern Recognition, Vol. 36 (9), pp.2127-2141, 2003. [Times cited:34]
  20. Polat, M. Yeasin, R. Sharma, “A Robust Tracking Framework for Collaborative Human Computer Interaction,” Computer Vision and Image Understanding, Vol. 89(1), pp. 44-69, 2003. [Times cited: 35]
  21. Azoz, L. Devi, M. Yeasin, and R. Sharma, “Tracking Human Arm Using Constraint Fusion and Multiple Cue-based Localization,” Machine Vision & Applications, Vol.13 (5-6), pp.286-302, 2003. [Times cited: 15]
  22. A. Kakadiaris, R. Sharma, M. Yeasin, “Introduction to the special issue on human modeling, analysis, and synthesis,” Machine Vision and Applications, 14(4): pp. 197-198, 2003.
  23. Chen, M. Yeasin, and R. Sharma, “Visual Modeling and Evaluation of Surgical Skill,” International journal of Pattern Analysis and Applications, Vol. 6(1), pp. 1-11, 2003. [Times cited: 15]
  24. Walavalkar, M. Yeasin, A. M. Narasimhamurthy and R. Sharma, “Support Vector Learning for Gender Classification Using Audio and Visual Cues,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17(3), pp. 417-439, 2003. [Times cited: 30]
  25. Yeasin, “Optical flow in log-mapped image plane – A new approach”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 6(1), pp. 125-131, 2002. [Times cited: 26]
  26. Yeasin and S. Chaudhuri, “Towards automatic robot program: Learning human skill from perceptual data,” IEEE Transactions on Systems Man and Cybernetics – Part B, Vol. 30(1), pp.180-185, 2000. [Times cited: 20]
  27. Yeasin and S. Chaudhuri, “Development of an automated image processing system for kinematic analysis of human gait,Real-Time Imaging, Acad. Press, Vol. 6(1), pp.55-67, 2000. [Times cited: 12]
  28. Yeasin and S. Chaudhuri, “Visual understanding of dynamic hand gestures,” Pattern Recognition, pp.1805-1817, Vol. 33(11), 2000. [Times cited: 90]

 

Book Chapters

 

  1. Abedi V, Yeasin M, Zand R. Adaptive Robust and Integrative Analysis for finding Novel Associations. In: Akhgar B Saathoff G. Arabnia H. Hill R. Staniforth A. & Bayerl P.S., ed. Mining Big Data to Improve National Security. Vol. In Press. Elsevier; 2014.
  2. A. Shaik, M. Yeasin, “Reconfigured Mobile Android Phone for people who are blind or visually impaired, Handbook of Mobile Systems Applications and Service, Editors: Anup Kumar and Bin Xie, Publisher: Auerbach Publications Chapter 19, 2012.
  3. M. Yeasin, Rahul Khare and R. Sharma “Appearance–based Age Classification using Support Vector Machines,” Editor: M. Sarfraz, Computer Aided Intelligent Recognition Techniques and Applications, John Wiley, Ch.2, pp. 241-255, 2005.
  4. M. Yeasin and R. Sharma, “Foveated Vision Sensors and Image Processing – A Review,” Editors: S. Patnaik and S. G. Tzafestas, Machine Learning, Perception and Robot Cognition, Ch. 13, pp. 241-254, Wiley, 2005. [Times cited: 5]
  5. R. Sharma, S. Kettebekov and M. Yeasin, “Integration of Gesture and Speech in Multimodal Interface,” Editors: M.S. Vassiliou and T.S. Huang, ARL Advanced Displays and Interactive Displays, pp. 41-54, 2001.

 

Journal Abstracts

  1. Abedi V, Yeasin M, Zand R. Context-Sensitive Use of Bioinformatics Tools with Complementary Functionalities for Generation of Relevant Hypothesis. BMC Bioinformatics. BMC Bioinformatics 2014, 15(Suppl 10):P8
  2. Taghizad H, Yeasin M, Cherry T, Abedi V. Obnet: Network of Semantic Associations for Obesity. BMC Bioinformatics 2014, 15(Suppl 10):P6
  3. Abedi V, Yeasin M, Sutter T. Integration of bioinformatics tools in candidate gene prioritization of co-regulated gene sets in Saccharomyces cerevisiae. BMC Bioinformatics 2011, 12 (Suppl 7):A18.
  4. Zand R, Mainali S, Abedi V, Yeasin M. Genetics of Stroke: A Review of Literature Using Expert-Guided Text Mining. Neurology, 76(9):A9-A9, 2011
  5. Zand R, Abedi V, Yeasin M. Using Latent Semantic Analysis to Measure the Association of KCNN4 and ACTA2 Genes and Ischemic Stroke. Neurology, 74(9): A221-A221, 2010
  6. M Yeasin, H. Malempati, R. Homayouni and M. S. Sorower, “A systematic study on latent semantic analysis model parameters for mining biomedical literature”, BMC Bioinformatics, 10(Suppl 7):A6 doi:10.1186/1471-2105-10-S7-A6, 2009.

 

Peer Reviewed International Conference Publications

  1. Bashivan P., Yeasin M., Rish I., Codella N. (2016), “From the Chaotic Brain Activities to Structured Hierarchy of Feature Maps”, Presented at Organization of Human Brain Mapping, Geneva, Switzerland, June 24 –June 30, 2016.
  2. Al-Fahad1 R., Yeasin M.,(2016), “What does Band Frequency Activities Tells us about the 4-D Affect Space?”, Presented at Organization of Human Brain Mapping, Geneva, Switzerland, June 24 –June 30, 2016.
  3.  Elahian B., Yeasin M., Mudigoudar B., J.W. Wheless, and Babajani-Feremi A. (2016), “Identification of Seizure Onset Zone Using Phase Locking Value in Electrocorticographic Recording” Presented at Organization of Human Brain Mapping, Geneva, Switzerland, June 24 –June 30, 2016.
  4. Bashivan P., Rish I., Yeasin M., Codella N. (2016), “Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks” Presented in the Intl. Conf. on Learning Representation (ICLR), Puerto Rico, USA
  5. Bashivan P, Yeasin M, Bidelman GM (2015), Single trial prediction of normal and excessive cognitive load through EEG feature fusion, Proceedings of IEEE Signal Processing in Medicine and Biology (SPMB) conference.
  6. Abedi V, Yeasin M, Zand R. ARIANA: Adaptive Robust and Integrative Analysis for finding Novel Associations. The 2014 International Conference on Advances in Big Data Analytics. Las Vegas NV, July 2014.
  7.  Bashivan P, Bidelman GM, Yeasin M (2014), “Modulation of Brain Connectivity by Memory Load in a Working Memory Network,” In Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Dec 9-12th, Orlando, FL, USA.
  8. Bashivan P, Bidelman GM, Yeasin M (2014), “Predicting working memory capacity using spectro-temporal characteristics of the oscillatory EEG”, Cognitive Neuroscience Society (CNS) Annual Meeting, 2014.
  1. Abedi, M. Yeasin, R. Zand, “Context-Sensitive Use of Bioinformatics Tools with Complementary Functionalities for Generation of Relevant Hypothesis, International Conference on Computational Advances in Bio and Medical Sciences ICCABS, Miami, USA, June 12-14, 2014.
  2. G. Hossain and M. Yeasin, “Understanding Effects of Cognitive Load from Pupillary Responses Using Hilbert Analytic Phase,” IEEE Conference on Computer Vision and Pattern Recognition Workshops, PP. 375-380, Colombus, OH, 2014, 10.1109/CVPRW.2014.62.
  3. Bashivan P, Bidelman GM, Yeasin M (2013), “Neural correlates of visual working memory load through unsupervised spatial filtering of EEG”, Proceedings of 3rd NIPS workshop on Machine Learning and Interpretation in Neuroimaging (MLINI13). Dec 9-10th, Lake Tahoe, NV, USA.
  4. ASM Iftekhar Anam, Shahinur Alam, Mohammed Yeasin, “Expression: A Google Glass based assistive solution for social signal processing” In Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility (ASSETS), Pages: 295-296, Rochester, NY, October 2014.
  5. ASM Iftekhar Anam, Shahinur Alam, Mohammed Yeasin, “Expression: a dyadic conversation aid using Google Glass for people with visual impairments”, In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (Ubicomp), Pages: 211-214, Seattle, WA, 2014.
  6. ASM Iftekhar Anam, Shahinur Alam, and Mohammed Yeasin, “Expression: A Dyadic Conversation Aid using Google Glass for People who are Blind or Visually Impaired”, In Proceedings of Sixth International Conference on Mobile Computing, Applications and Services (MobiCASE), Austin, TX, November 2014
  7. Iftekhar Tanveer, A.S.M. Iftekhar Anam, Mohammed Yeasin and Majid Khan, “Do You See What I See? Designing a Sensory Substitution Device to Access Non-verbal Modes of Communication”, To appear in proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’13), Bellevue, Washington, 2013
  8. Iftekhar Tanveer, A.S.M. Iftekhar Anam, Sreya Ghosh, A.K.M. M. Rahman, M. Yeasin, “FEPS: A Sensory Substitution System for the Blind to Perceive Facial Expressions”, In proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’12), Boulder, Colorado, 2012.
  9. AKMMahbubur Rahman, ASM Iftekhar Anam, Md. Iftekhar Tanveer, Sreya Ghosh, Mohammed Yeasin, “EmoAssist: A Real-time Social Interaction Tool to assist the Visually Impaired”, To Appear in proceedings of 15th International Conference on Human-Computer Interaction, Las Vegas, USA, 2013.
  10.  Bashivan P, Bidelman GM, Yeasin M (2013), “Neural correlates of visual working memory load through unsupervised spatial filtering of EEG”, Proceedings of 3rd NIPS workshop on Machine Learning and Interpretation in Neuroimaging (MLINI13), 2013.
  11. G. Hossain and M. Yeasin. (2013). Assistive Thinking: A New Approach in Assistive Technology Design in Disability Management, IEEE 1st International Conference on Technology for Helping People with Special Needs (ICTHP-2013), February 18-20, Riyadh, KSA.
  12. G. Hossain and M. Yeasin. (2013). Collaboration Gaps in Disabilities Sensemaking: Deaf and Blind Communication Perspective”, Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW) CIS Workshop, , San Ontario, TX, Feb 24, 2013USA.
  13. Roger Azevedo, Ronald Landis, Reza Feyzi Behnagh, Melissa Duffy, Gregory Trevors, Jason Harley, Francois Bouchet, Jonathan Burlison, Michelle Taub, Nicole Pacampara, M. Yeasin, Mahbubur Rahman, M. Iftekhar Tanveer and Gahangir Hossain, “The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-Adapted Learning with MetaTutor”, INTELLIGENT TUTORING SYSTEMS Lecture Notes in Computer Science, Volume 7315/2012, pp.212-221,  2012. [Times cited: 19]
  14. M. Iftekhar Tanveer, A.S.M. Iftekhar Anam, Sreya Ghosh, A.K.M. M. Rahman, M. Yeasin, “FEPS: A Sensory Substitution System for the Blind to Perceive Facial Expressions”, in the proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility, Boulder, Colorado, 2012, pp. 207-208. [Times cited: 4]
  15. A K M Mahbubur Rahman, M. I. Tanveer, M. Yeasin, “iMAPS: A SMART PHONE BASED REAL-TIME FRAMEWORK FOR PREDICTION OF AFFECT IN NATURAL DYADIC CONVERSATION”, in the proceedings of Visual Communications and Image Processing, Sun Diego, USA, 2012. [Times cited: 4]
  16. A K M M. Rahman, M.I. Tanveer, M. Yeasin, “A Spatio-Temporal Probabilistic Framework for Dividing and Predicting Facial Action Units”, in the proceedings of Machine Learning in Affective Computing Workshop with Affective Computing and Intelligent Systems (ACII 2011), Memphis, USA, 2011. [Times cited: 2]
  17. G. Hossain and M. Yeasin, Cognitive Load Based Adaptive Assistive Technology Design for Reconfigured Mobile Android Phone, IEEE MobiCASE, Los Angeles, CA, USA, 2011
  18. G. Hossain, A. S. Shaik, and M. Yeasin, Cognitive Load and Usability Analy-sis of R-MAP for people who are blind or visually impaired. In Proceedings of the 29th ACM International Conf. on Design of Communication (SIGDOC) ACM, Pisa, Italy, 2011. [Times Cited: 2 ]
  19. S.M. Masum and M. Yeasin, “Parallel Hybrid Genetic Algorithm based Dynamic Load-Balancing for Mining of Molecular Fragments”, in the Proc. of BIOCOMP, pp.827-833, 2010.
  20. Akbar S. Shaik, G. Hossain, and M. Yeasin. Design, development and performance evaluation of reconfigured mobile Android phone for people who are blind or visually impaired. In Proceedings of the 28th ACM International Conference on Design of Communication (SIGDOC ’10). ACM, NY, USA, pp. 159-166, 2010.[Times cited: 16]
  21. V. R. Kotha, J. S. Shaik and M. Yeasin, “Higher Ordered Statistics-Based Bipolarity Measure for Detecting Pedestrian Crossing from Visual Signals,” Proceedings Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, NV, USA, July 14-17, 2008, pp. 415 -421.
  22. M. Yeasin and M. F. Ahmed, “Fast and Active Video-Based Surveillance System for Remote Monitoring of Events,” Proceedings Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, NV, USA, July 14-17, 2008, pp. 314 -320.
  23. M. Yeasin, D.J. Russomanno, M.S. Sorower, M. Smith and J.S. Shaik, “Robust Classification of Objects using a Sparse Detector Sensor,” Proceedings Machine Learning; Models, Technologies and Applications (MLMTA), Las Vegas, NV, USA, July 14-17, 2008, pp. 742-748.
  24. D.J. Russomanno, M. Yeasin, E. Jacobs, M. Smith and M.S. Sorower (2008) “Sparse Detector Sensor: Profiling Experiments for Broad-Scale Classification,” Proceedings SPIE-Defense and Security Symposium: Unattended Ground, Sea, and Air Sensor Technologies and Applications X, vol. 6963, 69630M, Orlando, Florida, 11 pages. [Times cited: 16]
  25. S. M. Masum and M. Yeasin, “Dynamic Load Balancing for Mining of Molecular Substructures using Genetic Algorithm,” Proceedings IEEE Symposium on Bioinformatics and Bio Engineering (BIBE), Boston, MA, October 14-17, 2007, pp. 601-608.
  26. J. S. Shaik, E. O. George and M. Yeasin, “An Empirical CDF Approach to Estimate the Significance of Gene Ranking for Finding Differentially Expressed Genes,” Proceedings IEEE Intl. Symposium on Bioinformatics and Bio Engineering (BIBE), Boston, MA, 2007, pp. 1071-1075. [Times cited: 1]
  27. M.S. Sorower and M. Yeasin “Robust Classification of Dialog Acts from the Transcription of Utterances,” Proceedings IEEE International Conference on Semantic Computing (ICSC), Irvine, CA, September 17-19, 2007, pp. 3-10. [Times cited: 2]
  28. M.E. Hoque, M.S. Sorower, M. Yeasin and M.M. Louwerse, “What Speech Tells Us about Discourse: Role of Prosodic and Discourse Features in Dialogue Act Classification,” Proceedings Intl. Joint Conf. on Neural Networks (IJCNN), Orlando, FL, Aug.12-17, 2007, pp. 2999-3004. [Times cited: 7]
  29. J. S. Shaik and M. Yeasin, “A Unified Framework for Finding Differentially Expressed Genes from Two-Sample Microarray Experiments,” Proceedings International Joint Conference Neural Networks (IJCNN), Orlando, FL, August 12-17, 2007, pp. 2598 -2603. [Times cited: 13]
  30. J. S. Shaik and M. Yeasin, “Selection of Best Projection from 3D Star Coordinate Projection Space using Energy Minimization and Topology Preserving Mapping,” Proceedings International Joint Conference on Neural Networks (IJCNN), Orlando, FL, August 12-17, 2007, pp. 2604-2609. [Times cited:1]
  31. B. C. Vanteru, J. S. Shaik and M. Yeasin, “Semantically Linking PubMed to the Gene Ontology for Ontology-based Browsing,” Proceedings International Conference on Bioinformatics and Computational Biology (BIOCOMP), Las Vegas, NV, June 2007, pp. 673-678. [Times cited :26]
  32. J. S. Shaik and M. Yeasin, “Supervised 3D Star Co-ordinate Projection for the Validation of Differentially Expressed Genes from Microarrays,” Proceedings International Conference on Bioinformatics and Computational Biology (BIOCOMP), Las Vegas, Nevada, June, 2007.
  33. J.S. Shaik and M. Yeasin, “Ranking Function Based on Higher Order Statistics (RF-HOS) for Two-Sample Microarray Experiments,” Proceedings Intl. Symposium on Bioinformatics Research and Applications, LNBI 4463, Eds. I. Mandoiu and A. Zelikovsky, May 7-10, 2007, pp. 97-108. [Times cited: 2]
  34. J.S. Shaik and M. Yeasin, “Two-way Clustering using Fuzzy ASI for Knowledge Discovery in Microarrays,” Proceedings IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CBICB), Honolulu, Hawaii, April 2007, pp. 39-45. [Times cited: 8]
  35. S.R. Medapati and M. Yeasin, “A Hybrid Approach for Fusion of Medical Images and Performance Evaluation,” Proceedings Med. Imag. (MIC), San Diego, CA, 2006, pp.2081-2086.
  36. B.C. Vanteru, J.S. Shaik and M. Yeasin, “An Web-based Interface for the Visualization of Microarray Data,” Proceedings International Symposium on Visual Computing, Lecture Notes in Computer Science, Springer, Berlin, 2006, pp. 813-821.
  37. M.E. Hoque, M. Yeasin and M.M. Louwerse, “Robust Recognition of Emotion from Speech,” Proceedings International Conference on Intelligent Virtual Agents (IVA), Lecture Notes in Computer Science, Springer, Berlin, CA, August 2006, pp. 42-53. [Times cited: 21]
  38. J. Shaik, C.R. Kothari, D.J. Russomanno and M. Yeasin “3D Visualization of Relation Clusters from OWL Ontologies,” Proceedings Semantic Web & Web Services, Las Vegas, 2006, pp.17-23. [Times cited: 3]
  39.  J.S. Shaik and M. Yeasin, “Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System,” Proceedings IJCNN, Vancouver, Ca, 2006, pp.1340-1346. [Times cited: 22]
  40. J.S. Shaik and M. Yeasin, “Performance Evaluation of Subspace-based Algorithm in Selecting Differentially Expressed Genes and Classification of Tissue Types from Microarray Data,” Proceedings IJCNN, Vancouver, BC, Ca, July 16-21, 2006, pp. 2972-2979. [Times cited: 5]
  41. M.E. Hoque, D.J. Russomanno, M. Yeasin, “2D Captchas from 3D Models,” Proceedings IEEE South East Conference, Memphis, TN, 2006, pp. 165 – 170. [Times cited: 28]
  42. J.S. Shaik and M. Yeasin, “A Progressive Framework for Two-Way Clustering Using Adaptive Subspace Iteration for Functionally Classifying Genes,” Proceedings IJCNN, Vancouver, BC, Ca, July 16-21, 2006, pp.2980-2985. [Times cited: 8]
  43. J.S. Shaik and M. Yeasin, “Functionally Classifying Genes from Microarray Data Using Linear and Non-linear Data Projection,” Proceedings AICCSA, Dubai, UAE, March 2006, pp. 608-615. [Times cited: 5]
  44. M. Yeasin and B. Bullot, “Comparison of Linear and Non-linear Data Projection Techniques in Recognizing Universal Facial Expressions,” Proceedings IJCNN, Montreal, Canada, 2005.
  45. M. Yeasin, B. Bullot and R. Sharma, “From Facial Expression to Level of Interest: A Spatio-Temporal Approach,” Proceedings Computer Vision and Pattern Recognition (CVPR), Washington D.C., USA, June 26 – July 2, 2004, pp. 922-927. [Times cited: 73]
  46. R.S. Khare, M. Yeasin and R. Sharma, “Appearance-based Age classification using support vector machines,” Proceedings Intl. Conf. on Com. Dev. and Intel. Sys., India 2004, pp. 484-487.
  47. S. Kettebekov, M. Yeasin and R. Sharma, “Improving Continuous Gesture Recognition with Spoken Prosody,” Proceedings Computer Vision and Pattern Rec., WI, USA, 2003, pp. 565-570. [Times cited: 27]
  48. E. Polat, M. Yeasin, and R. Sharma, “A Tracking Framework for Collaborative Human Computer Interaction,” Proceedings Intl. Conf. on Multimodal Interfaces, Pittsburgh, PA, 2002, pp. 27-32. [Times cited: 5]
  49. S. Kettebekov, M. Yeasin and R. Sharma, “Prosody based co-analysis for recognition of co-verbal gestures,” Proceedings Intl. Conf. on Multimodal Interfaces, Pittsburgh, PA, pp.161-166. [Times cited: 28]
  50. N. Krahnstöver, S. Kettebekov, M. Yeasin and R. Sharma, “iMap: A Real-Time Framework for Natural Multimodal Interaction with Large Screen Displays,” Proceedings Intl. Conf. on Multimodal Interfaces, Pittsburgh, PA, 2002, pp.349-354. [Times cited: 65]
  51. L. Walavalkar, M. Yeasin, A.  Narasimhmurthy and R. Sharma, “Support Vector Learning for gender classification using Audio-Visual Cues,Proceedings International Workshop on Support Vector Machines (SVMs), Niagra Falls, Canada, August 2002, pp.144-159. [Times cited: 4]
  52. E. Polat, M. Yeasin and R. Sharma, “Multiple Complex Object Tracking Using A Combined Technique,” Proceedings Intl. Conf. on Pattern Rec. (ICPR), Quebec, Ca, 2002, pp. 168-173. [Times cited: 3]
  53. S. Kettebekov, M. Yeasin, N. Krahnstoever, R. Sharma, “Prosody based Co-Analysis of Deictic Gestures and Speech in Weather Narration Broadcast,” Proceedings Workshop on Multimodal Resources and Multimodal Systems Evaluation, Spain, June 2002. [Times cited: 12]
  54. E. Polat, M. Yeasin and R. Sharma, “Detecting and Tracking Body Parts of Multiple People,” Proceedings IEEE Intl. Conf. on Image Processing (ICIP), Vol.1, Greece, 2001, pp. 405-408. [Times cited:  ]
  55. E. Polat, M. Yeasin and R. Sharma, “Tracking Body Parts of Multiple People – A New Approach,” Workshop on Multi Object Tracking (WMOT) in conj. with ICCV, Vancouver, Ca, 2001, pp. 35-42. [Times cited: 10]
  56. N. Krahnstöver, M. Yeasin and R. Sharma, “Towards an unified approach for tracking and analysis of human motion,” Proceedings IEEE Workshop on Detection and Recognition of Events in Video in conjunction with the ICCV, Vancouver, Ca, 2001, pp.47-54. [Times cited: 35]
  57. M. Yeasin and Y. Kuniyoshi, “Detecting and tracking human face using a space-varying sensor and an active head,” Proceedings IEEE computer society conference on Computer Vision and Pattern Recognition (CVPR), SC, USA, 2000, pp. 168-173. [Times cited: 21]
  58. N. Krahnstöver, M. Yeasin and R. Sharma, “Automatic Acquisition and Initialization of Kinematic Models,” Proceedings IEEE computer society conference on Computer Vision and Pattern Recognition (CVPR), Technical Sketch, Kauai, HI, Dec, 2001. [Times cited: 17]
  59. M. Yeasin, “Optical flow in log-mapped image plane– A new approach,” Eds: R. Klette, S. Peleg and G. Sommer,  Lecture Note on Computer Science,  Springer, NY, USA, 2001, pp.252-260. [Times cited: 17]
  60. M. Yeasin and S. Chaudhuri, “Dynamic hand gesture understanding – A new approach,” Proceedings Intl. Conf. on Acous. Speech, and Signal Proces., AZ, USA, 1999, pp.3073 –3076. [Times cited: 2]
  61. M. Yeasin and S. Chaudhuri, “Visual understanding of dynamic hand gestures”, Proceedings Intl. Symposium on Intelligent Robotics & Systems (ISIRS), Bangalore, India, 1998, pp.300-307. [Times cited: 58]
  62. M. Yeasin and S. Chaudhuri, “Vision system for dynamic stability analysis,” Proceedings Indian Conf. on Vision Graphics and Image Processing, Delhi, India, 1998, pp. 435-440.
  63. M. Yeasin and S. Chaudhuri, “Automatic generation of robot program code: Learning from perceptual data,” Proceedings Intl. Conf. on Computer Vision, Bombay, India, 1998, pp. 889-894. [Times cited: 7]
  64. M. Yeasin and S. Chaudhuri, “A Vision-Based System for Quantification of Human Gait,” Proceedings Intl. Conf. on Comm. and Inf. Technology, Dhaka, Bangladesh, 1998, pp. 168-172.
  65. M. Yeasin and S. Chaudhuri, “Automatic robot programming by visual demonstration of task execution,” Proceedings Intl. Conf. on Adv. Robotics (ICAR), Monterey, CA, 1997, pp. 913-918. [Times cited: 13]
  66. A.N. Rajagopalan and M. Yeasin and S. Chaudhuri, Data clustering using higher order statistics,” Proceedings TENCON, Brisbane, Australia, December 1997, pp. 803-806. [Times cited:1 ]
  67. M. Yeasin and S. Chaudhuri, “Development of an image processing system for automatic gait analysis,” Proceedings National Conf. on Comm. (NCC), IIT Madras, India, 1997, pp. 183-187. [Times cited: 12]

 

Posters and abstract presented in Conference

  1. R. Zand, S. Mainali, V. Abedi and M. Yeasin, “Genetics of Stroke: A Review of Literature Using Expert-Guided Text Mining “, 63rd AAN Annual Meeting Location: Honolulu, HI Date: APR 09-16, 2011.
  2. Md. IftekharTanveer, Xiangen Hu, M. Yeasin, “Exploring Conditional Similarity based on Semantic Vectors” at 40th Annual Meeting of Society for Computers in Psychology, St. Louis, MO, 2010.
  3. Gahangir Hossain, Xiangen Hu and M. Yeasin, “A Comparative Study of Multinomial Processing Tree Model with Other Models,” 40th annual Meeting of the Society for Computers in Psychology (SCiP), St. Louis, Missouri, 2010.
  4. R. Zand, V. Abedi and M. Yeasin, “Using Latent Semantic Analysis to Measure the Association of KCNN4 and ACTA2 Genes and Ischemic Stroke”, 62th Annual International Neurology Conference Poster Presentation:  Toronto, Ontario, Canada , April, 2010.
  5. V. Abedi, F.E. Faisal, R. Zand and M. Yeasin, “Knowledge Discovery from Literature: A Framework for Identification of Risk Factors for Complex Diseases”, Poster Presented at the Ninth Annual UT-ORNL-KBRIN Bioinformatics Summit, Lake Barkley State Park in western Kentucky, March, 2010.
  6. F.E. Faisl, V. Abedi and M. Yeasin, “Adaptive Sub-space Model for Eliminating Systemic Bias in Mining Biological Literature” Poster Presented at the Ninth Annual UT-ORNL-KBRIN Bioinformatics Summit, Lake Barkley State Park in western Kentucky, March, 2010.
  7. V. Abedi and M. Yeasin, “A Framework for Layered Integration of Heterogeneous Data: A Case Study”, Oral Presentation of poster in the Eight Annual UT-ORNL -KBRIN Bioinformatics Summit, Fall Creek Falls State Resort Park in Pikeville, Tennessee, USA, March, 2009.
  8. Vida Abedi and Mohammed Yeasin, “Understanding and eliminating systemic bias in knowledge discovery from biological literature using latent semantic analysis model”, Poster presentation in ICMLA-09, Miami Beach, Florida, 33140, USA, 13-15 Dec. 2009.
  9. M. S Sorower, M. Yeasin, “Role of Intonation for Modeling Dialog Acts from the Transcription of Utterances”, Poster for Annual Meeting of the Society for Text and Discourse, Rotterdam, Netherlands, June 26-28, 2009.
  10. M. Yeasin, B.C. Vanteru, J.S. Shaik and F. Ahmed, “i-SEGOPubmed: A Web Interface for Semantic Enabled Browsing of PubMed using Gene Ontology,” BMC Bioinformatics, Abstract, 08.
  11. M. S. Sorower, A.K.M.M. Rahman and M. Yeasin, “Machine Learning-based Approach for Testing Large Scale Software: A Survey”, Proceedings Workshop on Advances and Innovations in Systems Testing, Memphis, TN, May 2008.
  12. S. M. Masum, B. C. Vanteru and M. Yeasin, “A Study on fault injection-based approach for dependability analysis,” Proceedings Workshop on Advances and Innovations in Systems Testing, Memphis, TN, May 2008.
  13. M. S. Sorower, M. F. Ahmed and M. Yeasin, “Generalization of MOPS for Software Testing using Finite State Machine,” Proceedings Workshop on Advances and Innovations in Systems Testing, Memphis, TN, May 2007.
  14. S. M. Masum, B. C. Vanteru and M. Yeasin, “Fault Injection: A Method for Validating Fault-tolerant System,” Proceedings Advances and Innovations in Sys. Testing, Memphis, TN, 2007.

 

International and US Patents

  1. Rajeev SharmaMohammed YeasinLeena A WalavalkarMulti-modal gender classification using support vector machines (SVMs).Jun, 12 2003US 20030110038, [Times cited: 7]
  2. Rajeev SharmaMohammed YeasinSanshzar KettebekovProsody based audio/visual co-analysis for co-verbal gesture recognition. The Penn State Research Foundation Jan, 22 2008US 7321854 [Times cited: 66]