Search Results - "Chowdhury, Sadman"

On the Importance of Attention and Augmentations for Hypothesis Transfer in Domain Adaptation and Generalization by Sahay, Rajat, Thomas, Georgi, Jahan, Chowdhury Sadman, Manjrekar, Mihir, Popp, Dan, Savakis, Andreas

“…Unsupervised domain adaptation (UDA) aims to mitigate the performance drop due to the distribution shift between the training and testing datasets. UDA methods…”
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Benchmarking Domain Adaptation Methods on Aerial Datasets by Nagananda, Navya, Taufique, Abu Md Niamul, Madappa, Raaga, Jahan, Chowdhury Sadman, Minnehan, Breton, Rovito, Todd, Savakis, Andreas

“…Deep learning grew in importance in recent years due to its versatility and excellent performance on supervised classification tasks. A core assumption for…”
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Diagnostic Yield of Cardiovascular Magnetic Resonance for Cardiac Sarcoidosis: A Retrospective Single-centre Cohort Study by Chowdhury, Sadman, Mahmood, Adil, Condurache, Dorina-Gabriela, Raisi-Estabragh, Zahra, Sekhri, Neha

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Deep Learning-Based Glaucoma Detection With Cropped Optic Cup and Disc and Blood Vessel Segmentation by Islam, Mir Tanvir, Mashfu, Shafin T., Faisal, Abrar, Siam, Sadman Chowdhury, Naheen, Intisar Tahmid, Khan, Riasat

“…Glaucoma is an irreversible neurodegenerative disease, where intraocular hypertension is developed due to the increased aqueous humor and blockage of the…”
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Associations of treatment effects between follow-up times and between outcome domains in interventions for somatoform disorders: Review of three Cochrane reviews by Chowdhury, Sadman, Burton, Christopher

“…Abstract Background Interventions for somatoform disorders typically address a range of outcomes. We aimed to examine treatment effects across outcome domains…”
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Curriculum Guided Domain Adaptation in the Dark by Jahan, Chowdhury Sadman, Savakis, Andreas

“…Addressing the rising concerns of privacy and security, domain adaptation in the dark aims to adapt a black-box source trained model to an unlabeled target…”
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Kiosk 2R-TB-09 - Diagnostic Yield of Cardiovascular Magnetic Resonance for Cardiac Sarcoidosis: A Retrospective Single-centre Cohort Study by Chowdhury, Sadman, Mahmood, Adil, Condurache, Dorina-Gabriela, Raisi-Estabragh, Zahra, Sekhri, Neha

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Continual Unsupervised Domain Adaptation in Data-Constrained Environments by Taufique, Abu Md Niamul, Jahan, Chowdhury Sadman, Savakis, Andreas

“…Domain adaptation (DA) techniques aim to overcome the domain shift between the source domain used for training and the target domain where testing takes place…”
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Transfer Learning Across Domains and Sensing Modalities by Jahan, Chowdhury Sadman

“…Transfer learning facilitates the training of a deep learning (DL) model with limited or no labeled data, by initializing the network parameters using a…”
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MAKING WAVES: WHAT DRIVES CORONARY PERFUSION IN THE FAILING HEART? by Chowdhury, Sadman, Briceno, Natalia, Ryan, Matthew, Rahman, Haseeb, Rivolo, Simone, Lee, Jack, Perera, Divaka

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TCT-151 Instantaneous Wave-Free Ratio/Fractional Flow Reserve Discordance: Is The ‘Wave-Free Period’ Truly ‘Wave-Free'? by Mills, Mark, Chowdhury, Sadman, Modi, Bhavik, Rahman, Haseeb, Ryan, Matthew, Ellis, Howard, Perera, Divaka

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Making waves: what drives coronary perfusion in the failing heart? by Chowdhury, Sadman, Briceno, Natalia, Ryan, Matthew, Rahman, Haseeb, Rivolo, Simone, Lee, Jack, Perera, Divaka

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Making waves: what drives coronary perfusion in the failing heart? by Chowdhury, Sadman, Briceno, Natalia, Ryan, Matthew, Rahman, Haseeb, Rivolo, Simone, Lee, Jack, Perera, Divaka

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Unknown Sample Discovery for Source Free Open Set Domain Adaptation by Jahan, Chowdhury Sadman, Savakis, Andreas

“…Open Set Domain Adaptation (OSDA) aims to adapt a model trained on a source domain to a target domain that undergoes distribution shift and contains samples…”
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Unknown Sample Discovery for Source Free Open Set Domain Adaptation by Jahan, Chowdhury Sadman, Savakis, Andreas

“…Open Set Domain Adaptation (OSDA) aims to adapt a model trained on a source domain to a target domain that undergoes distribution shift and contains samples…”
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Curriculum Guided Domain Adaptation in the Dark by Jahan, Chowdhury Sadman, Savakis, Andreas

“…Addressing the rising concerns of privacy and security, domain adaptation in the dark aims to adapt a black-box source trained model to an unlabeled target…”
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Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather by Jahan, Chowdhury Sadman, Savakis, Andreas

“…Domain adaptation (DA) strives to mitigate the domain gap between the source domain where a model is trained, and the target domain where the model is…”
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Application of Data Mining Techniques on Air Pollution of Dhaka City by Chowdhury, Al-Sadman, Uddin, Md. Shihab, Tanjim, Md Rashad, Noor, Fariha, Rahman, Rashedur M.

“…In recent times, the air quality level of Dhaka city has been termed as hazardous. The weather of Dhaka city has gone through some drastic changes because of…”
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SAR Image Classification with Knowledge Distillation and Class Balancing for Long-Tailed Distributions by Jahan, Chowdhury Sadman, Savakis, Andreas, Blasch, Erik

“…The classification of data following long-tailed distributions is a challenging problem that is encountered in practical situations. In the case of Synthetic…”
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Unsupervised Continual Learning for Gradually Varying Domains by Taufique, Abu Md Niamul, Jahan, Chowdhury Sadman, Savakis, Andreas

“…In Unsupervised Domain Adaptation (UDA), a network is trained on a source domain and adapted on a target domain where no labeled data is available. Existing…”
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