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ORCIDSarat C. Dass
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2020 – today
- 2023
[j23]Wai Meng Kwok, George Streftaris, Sarat C. Dass
:
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks. Stat. Comput. 33(6): 124 (2023)- 2021
- [c32]Loshini Thiruchelvam, Sarat Chandra Dass, Nirbhay Mathur, Vijanth Sagayan Asirvadam, Balvinder Singh Gill:
Inclusion of Climate Variables for Dengue Prediction Model: Preliminary Analysis. ICSIPA 2021: 162-166 - 2020
- [j22]Altahir Abdalla Altahir, Vijanth Sagayan Asirvadam, Nor Hisham Bin Hamid, Patrick Sebastian, Mohamed Abul Hassan, Nordin Bin Saad, Rosdiazli Ibrahim, Sarat C. Dass:
Visual Sensor Placement Based on Risk Maps. IEEE Trans. Instrum. Meas. 69(6): 3109-3117 (2020)
2010 – 2019
- 2019
- [j21]Muhammad Javvad ur Rehman, Sarat C. Dass, Vijanth S. Asirvadam:
An augmented sequential MCMC procedure for particle based learning in dynamical systems. Signal Process. 160: 32-44 (2019) - 2018
- [j20]Kyoungjae Lee, Jaeyong Lee, Sarat C. Dass:
Inference for differential equation models using relaxation via dynamical systems. Comput. Stat. Data Anal. 127: 116-134 (2018) - [j19]Muhammad Javvad ur Rehman, Sarat Chandra Dass, Vijanth Sagayan Asirvadam:
A weighted likelihood criteria for learning importance densities in particle filtering. EURASIP J. Adv. Signal Process. 2018: 36 (2018) - [j18]Faouzi Adjed, Syed Jamal Safdar Gardezi, Fakhreddine Ababsa, Ibrahima Faye, Sarat Chandra Dass:
Fusion of structural and textural features for melanoma recognition. IET Comput. Vis. 12(2): 185-195 (2018) - [c31]Altahir Abdalla Altahir, Vijanth S. Asirvadam, Nor Hisham Hamid, Patrick Sebastian, Nordin Bin Saad, Sarat C. Dass:
Optimizing Camera Placement Based on Task Modeling. IEEE SENSORS 2018: 1-4 - 2017
- [j17]Raheel Zafar, Sarat C. Dass, Aamir Saeed Malik, Nidal S. Kamel, Muhammad Javvad ur Rehman, Rana Fayyaz Ahmad, Jafri Malin Abdullah, Faruque Reza:
Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion. IEEE Access 5: 13010-13019 (2017) - [j16]Ahmed Adly Mahmoud, Sarat C. Dass, Mohana Sundaram Muthuvalu, Vijanth S. Asirvadam:
Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays. Complex. 2017: 6148934:1-6148934:14 (2017) - [j15]Sarat C. Dass, Jaeyong Lee, Kyoungjae Lee, Jonghun Park:
Laplace based approximate posterior inference for differential equation models. Stat. Comput. 27(3): 679-698 (2017) - [c30]Syaimaa' Solehah Mohd Radzi, Vijanth Sagayan Asirvadam, Sarat Chandra Dass, Duma Kristina Yanti Hutapea:
Evaluation of simulated VEP signals on basis of Higuchi and Katz's algorithm. ICSIPA 2017: 310-314 - [c29]Raheel Zafar, Aamir Saeed Malik, Aliyu Nuhu Shuaibu, Muhammad Javvad ur Rehman, Sarat C. Dass:
Multiple trials in event related fMRI for different conditions. ICSIPA 2017: 315-319 - [c28]Raheel Zafar, Aamir Saeed Malik, Aliyu Nuhu Shuaibu, Muhammad Javvad ur Rehman, Sarat C. Dass:
Classification of fMRI data using support vector machine and convolutional neural network. ICSIPA 2017: 324-329 - [c27]Shermon S. Mathulamuthu, Vijanth S. Asirvadam, Sarat C. Dass, Balvinder Singh Gill:
Predicting dengue cases by aggregation of climate variable using manifold learning. ICSIPA 2017: 535-540 - [c26]Loshini Thiruchelvam, Vijanth S. Asirvadam, Sarat C. Dass, Hanita Daud, Balvinder Singh Gill:
K-step ahead prediction models for dengue occurrences. ICSIPA 2017: 541-546 - 2016
- [j14]Muhammad Israr Siddiqui, Shahzad Munir, Morgan Heikal, Guillaume de Sercey, A. Rashid A. Aziz, Sarat C. Dass:
Simultaneous velocity measurements and the coupling effect of the liquid and gas phases in slug flow using PIV-LIF technique. J. Vis. 19(1): 103-114 (2016) - [c25]Raheel Zafar, Aamir Saeed Malik, Nidal S. Kamel, Sarat C. Dass:
Role of voxel selection and ROI in fMRI data analysis. MeMeA 2016: 1-6 - 2015
- [c24]Javed Khan, Aamir Saeed Malik, Nidal S. Kamel, Sarat Chandra Dass, Azura Mohd. Affandi:
Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster. EMBC 2015: 3077-3080 - [c23]Loshini Thiruchelvam, Vijanth S. Asirvadam, Sarat C. Dass, Balvinder Singh Gill:
Predicting localized dengue incidences using ensemble system identification. IC3INA 2015: 6-11 - [c22]Ahmed Adly Mahmoud, Sarat Chandra Dass, Mohana Sundaram Muthuvalu:
A maximum likelihood estimation framework for the exponential Differential Equation Model. IC3INA 2015: 23-27 - [c21]Muhammad Javvad ur Rehman, Sarat Chandra Dass, Vijanth Sagayan Asirvadam, Ahmed Adly:
Parameter estimation for nonlinear disease dynamical system using particle filter. IC3INA 2015: 143-147 - [c20]Raheel Zafar, Aamir Saeed Malik, Hafeez Ullah Amin, Nidal S. Kamel, Sarat C. Dass:
Discrimination of Brain States Using Wavelet and Power Spectral Density. ICONIP (4) 2015: 341-347 - [c19]Muhammad Javvad ur Rehman, Sarat Chandra Dass, Vijanth Sagayan Asirvadam:
Markov chain Monte Carlo (MCMC) method for parameter estimation of nonlinear dynamical systems. ICSIPA 2015: 7-10 - [c18]Amal Seralkhatem Osman Ali, Vijanth S. Asirvadam, Aamir Saeed Malik, Azrina Aziz, Sarat C. Dass:
Combined geometric and texture features for face recognition. ICSIPA 2015: 321-325 - [c17]Raheel Zafar, Aamir Saeed Malik, Nidal S. Kamel, Sarat C. Dass:
Importance of realignment parameters in fMRI data analysis. ICSIPA 2015: 546-550 - [c16]Nirbhay Mathur, Vijanth S. Asirvadam, Sarat C. Dass, Balvinder Singh Gill:
Visualization of dengue incidences for vulnerability using K-means. ICSIPA 2015: 569-573 - [r2]Sarat C. Dass:
Individuality of Fingerprints, A Review. Encyclopedia of Biometrics 2015: 924-940 - 2013
- [j13]Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti:
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. Autom. 49(12): 3520-3530 (2013) - 2012
- [j12]Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti:
Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. IEEE Trans. Autom. Control. 57(8): 2078-2084 (2012) - [c15]Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti:
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. ACC 2012: 2171-2176 - [c14]Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti:
A unified Bayesian approach for prediction and detection using mobile sensor networks. CDC 2012: 1180-1185 - 2011
- [j11]Chae Young Lim, Sarat C. Dass:
Assessing Fingerprint Individuality Using EPIC: A Case Study in the Analysis of Spatially Dependent Marked Processes. Technometrics 53(2): 112-124 (2011) - [j10]Tariq Khan, Pradeep Ramuhalli, Sarat C. Dass:
Particle-Filter-Based Multisensor Fusion for Solving Low-Frequency Electromagnetic NDE Inverse Problems. IEEE Trans. Instrum. Meas. 60(6): 2142-2153 (2011) - [c13]Yunfei Xu, Jongeun Choi, Sarat C. Dass, Taps Maiti:
Bayesian prediction and adaptive sampling algorithms for mobile sensor networks. ACC 2011: 4195-4200 - 2010
- [j9]Sarat C. Dass:
Assessing fingerprint individuality in presence of noisy minutiae. IEEE Trans. Inf. Forensics Secur. 5(1): 62-70 (2010)
2000 – 2009
- 2009
- [j8]Mrityunjay Kumar, Sarat C. Dass:
A Total Variation-Based Algorithm for Pixel-Level Image Fusion. IEEE Trans. Image Process. 18(9): 2137-2143 (2009) - [r1]Sarat C. Dass, Sharath Pankanti, Salil Prabhakar, Yongfang Zhu:
Individuality of Fingerprints. Encyclopedia of Biometrics 2009: 741-751 - 2008
- [j7]Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K. Jain:
Likelihood Ratio-Based Biometric Score Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 342-347 (2008) - 2007
- [j6]Sarat C. Dass, Anil K. Jain:
Fingerprint-Based Recognition. Technometrics 49(3): 262-276 (2007) - [j5]Yongfang Zhu, Sarat C. Dass, Anil K. Jain:
Statistical Models for Assessing the Individuality of Fingerprints. IEEE Trans. Inf. Forensics Secur. 2(3-1): 391-401 (2007) - 2006
- [j4]Arun Ross, Sarat C. Dass, Anil K. Jain:
Fingerprint Warping Using Ridge Curve Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 19-30 (2006) - [j3]Sarat C. Dass, Yongfang Zhu, Anil K. Jain:
Validating a Biometric Authentication System: Sample Size Requirements. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1902-1319 (2006) - [c12]Yi Chen, Sarat C. Dass, Anil K. Jain:
Localized Iris Image Quality Using 2-D Wavelets. ICB 2006: 373-381 - [c11]Karthik Nandakumar, Yi Chen, Anil K. Jain, Sarat C. Dass:
Quality-based Score Level Fusion in Multibiometric Systems. ICPR (4) 2006: 473-476 - [c10]Yongfang Zhu, Sarat C. Dass, Anil K. Jain:
Compound Stochastic Models For Fingerprint Individuality. ICPR (3) 2006: 532-535 - 2005
- [j2]Arun Ross, Sarat C. Dass, Anil K. Jain:
A deformable model for fingerprint matching. Pattern Recognit. 38(1): 95-103 (2005) - [c9]Sarat C. Dass, Yongfang Zhu, Anil K. Jain:
Statistical Models for Assessing the Individuality of Fingerprints. AutoID 2005: 3-9 - [c8]Yi Chen, Sarat C. Dass, Anil K. Jain:
Fingerprint Quality Indices for Predicting Authentication Performance. AVBPA 2005: 160-170 - [c7]Sarat C. Dass, Karthik Nandakumar, Anil K. Jain:
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems. AVBPA 2005: 1049-1058 - [c6]Yi Chen, Sarat C. Dass, Arun Ross, Anil K. Jain:
Fingerprint Deformation Models Using Minutiae Locations and Orientations. WACV/MOTION 2005: 150-155 - 2004
- [j1]Sarat C. Dass:
Markov random field models for directional field and singularity extraction in fingerprint images. IEEE Trans. Image Process. 13(10): 1358-1367 (2004) - [c5]Arun Ross, Sarat C. Dass, Anil K. Jain:
Estimating Fingerprint Deformation. ICBA 2004: 249-255 - [c4]Anil K. Jain, Sarat C. Dass, Karthik Nandakumar:
Soft Biometric Traits for Personal Recognition Systems. ICBA 2004: 731-738 - [c3]Sarat C. Dass, Anil K. Jain:
Fingerprint Classification Using Orientation Field Flow Curves. ICVGIP 2004: 650-655 - 2002
- [c2]Sarat C. Dass, Anil K. Jain, Xiaoguang Lu:
Face Detection and Synthesis Using Markov Random Field Models. ICPR (4) 2002: 201-204 - 2001
- [c1]Sarat C. Dass, Anil K. Jain:
Markov Face Models. ICCV 2001: 680-687
Coauthor Index
aka: Vijanth Sagayan Asirvadam
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