Srinjoy Das

1. A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
   2017/05/07 by Xinyu Zhang, Zhang, Xinyu, Srinjoy Das +5 · 1 citation
   Computer Science · Engineering · #Advanced Image Processing Techniques #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
2. Model-Based and Model-Free point prediction algorithms for locally stationary random fields
   2022/12/06 by Srinjoy Das, Yiwen Zhang, Das, Srinjoy +3 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #FOS: Computer and information sciences #Hydrology and Drought Analysis #Meteorological Phenomena and Simulations #Methodology (stat.ME) #Soil Geostatistics and Mapping
3. Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework
   2021/01/31 by Siqiao Ruan, Ruan, Siqiao, Ian Colbert +5 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
4. Nonparametric estimation of the conditional distribution at regression\n boundary points
   2017/04/03 by Srinjoy Das, Das, Srinjoy, Dimitris N. Politis +1 · 1 citation
   Engineering · Mathematics · #Advanced Statistical Methods and Models #Control Systems and Identification #FOS: Computer and information sciences #Other Statistics (stat.OT) #Statistical Methods and Inference
5. Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization
   2023/11/16 by Ahmed Shoyeb Raihan, Hamed Khosravi, Raihan, Ahmed Shoyeb +5 · 1 citation
   Engineering · Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Manufacturing Process and Optimization #Materials Science (cond-mat.mtrl-sci)
6. XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation
   2026/07/15 by Md Mahedi Hasan, Md Mushfiqur Rahaman, Alan Pachkovskiy +3
   #cs.CV #cs.LG
7. Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction
   2026/07/16 by Tasmiah Haque, Jacob Kosinski, Sumit Mohan +2
   #cs.CV #cs.LG