Publications
2023
Children learn ergative case marking in Hindi using statistical preemption and clause-level semantics (intentionality): evidence from acceptability judgment and elicited production studies with children and adults
Maitreyee, R., Saxena, G., Narasimhan, B., Misra Sharma, D., Mishra, P., Bhaya Nair, R., . . . Ambridge, B. (2023). Children learn ergative case marking in Hindi using statistical preemption and clause-level semantics (intentionality): evidence from acceptability judgment and elicited production studies with children and adults. Open Research Europe, 3, 49. doi:10.12688/openreseurope.15611.2
2022
Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K'iche'.
Ambridge, B., Doherty, L., Maitreyee, R., Tatsumi, T., Zicherman, S., Mateo Pedro, P., . . . Fukumura, K. (2021). Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K'iche'.. Open research Europe, 1, 1. doi:10.12688/openreseurope.13008.2
2021
MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra
Shrivastava, A. D., Swainston, N., Samanta, S., Roberts, I., Wright Muelas, M., & Kell, D. B. (2021). MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra. BIOMOLECULES, 11(12). doi:10.3390/biom11121793
2020
Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently
Kell, D. B., Samanta, S., & Swainston, N. (2020). Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently. BIOCHEMICAL JOURNAL, 477(23), 4559-4580. doi:10.1042/BCJ20200781
The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'.
Ambridge, B., Maitreyee, R., Tatsumi, T., Doherty, L., Zicherman, S., Pedro, P. M., . . . Mendoza, M. J. (2020). The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'.. Cognition, 202. doi:10.1016/j.cognition.2020.104310
DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach
Khemchandani, Y., O'Hagan, S., Samanta, S., Swainston, N., Roberts, T., Bollegala, D., & Kell, D. (2020). DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach. doi:10.21203/rs.3.rs-32446/v2
VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder.
Samanta, S., O'Hagan, S., Swainston, N., Roberts, T. J., & Kell, D. B. (2020). VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder.. Molecules, 25(15). doi:10.3390/molecules25153446
DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach
Khemchandani, Y., O'Hagan, S., Samanta, S., Swainston, N., Roberts, T., Bollegala, D., & Kell, D. (2020). DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach. doi:10.21203/rs.3.rs-32446/v1
Can Automated Gesture Recognition Support the Study of Child Language Development?
Samanta, S., Bannard, C., & Pine, J. (2020). Can Automated Gesture Recognition Support the Study of Child Language Development?. In Proceedings for the 42nd Annual Meeting of the Cognitive Science Society Developing A Mind Learning in Humans Animals and Machines Cogsci 2020 (pp. 343-349).
2019
Multiple Pyramids Based Image Inpainting Using Local Patch Statistics and Steering Kernel Feature
Ghorai, M., Samanta, S., Mandal, S., & Chanda, B. (2019). Multiple Pyramids Based Image Inpainting Using Local Patch Statistics and Steering Kernel Feature. IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(11), 5495-5509. doi:10.1109/TIP.2019.2920528
2018
ISIHWD: A Database for Off-line Handwritten Word Recognition and Writer Identification
Das Gupta, J., & Samanta, S. (2017). ISIHWD: A Database for Off-line Handwritten Word Recognition and Writer Identification. In 2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION (ICAPR) (pp. 82-87). Retrieved from https://www.webofscience.com/
Ensemble classifier-based off-line handwritten word recognition system in holistic approach
Das Gupta, J., Samanta, S., & Chanda, B. (2018). Ensemble classifier-based off-line handwritten word recognition system in holistic approach. IET IMAGE PROCESSING, 12(8), 1467-1474. doi:10.1049/iet-ipr.2017.0745
Modelling Human Understanding of Thematic Roles with Motion Heuristics
Samanta, S., & Chang, F. (2018). Modelling Human Understanding of Thematic Roles with Motion Heuristics. In 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) (pp. 741-744). doi:10.1109/ICMLA.2018.00117
An Image Dataset of Bishnupur Terracotta Temples for Digital Heritage Research
Ghorai, M., Santra, S., Samanta, S., Purkait, P., & Chanda, B. (2018). An Image Dataset of Bishnupur Terracotta Temples for Digital Heritage Research. In Heritage Preservation (pp. 269-291). Springer Singapore. doi:10.1007/978-981-10-7221-5_13
2016
Bishnupur Heritage Image Dataset (BHID): A resource for various computer vision applications
Ghorai, M., Purkait, P., Santra, S., Samanta, S., & Chanda, B. (2016). Bishnupur Heritage Image Dataset (BHID): A resource for various computer vision applications. In TENTH INDIAN CONFERENCE ON COMPUTER VISION, GRAPHICS AND IMAGE PROCESSING (ICVGIP 2016). doi:10.1145/3009977.3010005
A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure
Samanta, S., & Chanda, B. (n.d.). A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure. Retrieved from http://arxiv.org/abs/1608.00199v1
Scale-Invariant Image Inpainting Using Gradient-Based Image Composition
Ghorai, M., Samanta, S., & Chanda, B. (2017). Scale-Invariant Image Inpainting Using Gradient-Based Image Composition. In COMPUTER VISION, GRAPHICS, AND IMAGE PROCESSING, ICVGIP 2016 Vol. 10481 (pp. 97-108). doi:10.1007/978-3-319-68124-5_9
2014
Indian Classical Dance Classification on Manifold using Jensen-Bregman LogDet Divergence
Samanta, S., & Chanda, B. (2014). Indian Classical Dance Classification on Manifold using Jensen-Bregman LogDet Divergence. In 2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (pp. 4507-4512). doi:10.1109/ICPR.2014.771
Space-Time Facet Model for Human Activity Classification
Samanta, S., & Chanda, B. (2014). Space-Time Facet Model for Human Activity Classification. IEEE TRANSACTIONS ON MULTIMEDIA, 16(6), 1525-1535. doi:10.1109/TMM.2014.2326734
2013
A Novel Technique for Space-Time-Interest Point Detection and Description for Dance Video Classification
Samanta, S., & Chanda, B. (2013). A Novel Technique for Space-Time-Interest Point Detection and Description for Dance Video Classification. In ADVANCES IN VISUAL COMPUTING, ISVC 2013, PT I Vol. 8033 (pp. 507-516). Retrieved from https://www.webofscience.com/
2012
FaSTIP
Samanta, S., & Chanda, B. (2012). FaSTIP. In Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing (pp. 1-8). ACM. doi:10.1145/2425333.2425341
Indian Classical Dance classification by learning dance pose bases
Samanta, S., Purkait, P., & Chanda, B. (2012). Indian Classical Dance classification by learning dance pose bases. In 2012 IEEE Workshop on the Applications of Computer Vision (WACV) (pp. 265-270). IEEE. doi:10.1109/wacv.2012.6163050
2011
A Simple and Fast Algorithm to Detect the Fovea Region in Fundus Retinal Image
Samanta, S., Saha, S. K., & Chanda, B. (2011). A Simple and Fast Algorithm to Detect the Fovea Region in Fundus Retinal Image. In 2011 Second International Conference on Emerging Applications of Information Technology (pp. 206-209). IEEE. doi:10.1109/eait.2011.22