Shoaib Ahmed Siddiqui
Orcid: 0000-0003-4600-7331
According to our database1,
Shoaib Ahmed Siddiqui
authored at least 38 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective.
CoRR, 2024
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
A Simple Yet Fully Adaptive PSO Algorithm for Global Peak Tracking of Photovoltaic Array Under Partial Shading Conditions.
IEEE Trans. Ind. Electron., 2022
CoRR, 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training.
CoRR, 2022
Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training.
IEEE Access, 2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data.
Sensors, 2021
IEEE Access, 2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Understanding and Mitigating the Impact of Model Compression for Document Image Classification.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
2020
SN Comput. Sci., 2020
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.
Sensors, 2019
Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
BMC Medical Informatics Decis. Mak., 2019
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
BMC Medical Informatics Decis. Mak., 2019
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
A wearable sensor based multi-criteria-decision-system for real-time seizure detection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017