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2020 – today
- 2024
[j6]Gao Yu Lee
, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
Unlocking the capabilities of explainable few-shot learning in remote sensing. Artif. Intell. Rev. 57(7): 169 (2024)- [j5]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama:
GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. 235: 121177 (2024) - [j4]Md Meftahul Ferdaus, Tanmoy Dam, Sameer Alam, Duc-Thinh Pham:
X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams. IEEE Trans. Artif. Intell. 5(8): 4001-4012 (2024) - [c14]Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti:
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs. CIKM 2024: 3724-3729 - [c13]Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam, Nimrod Lilith, Supriyo Chakraborty, Mir Feroskhan:
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer. ICRA 2024: 10657-10664 - [c12]Gao Yu Lee, Tanmoy Dam, Daniel Puiu Poenar, Vu N. Duong, Md Meftahul Ferdaus:
HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification. WACV 2024: 2162-2172 - [i12]Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam, Nimrod Lilith, Supriyo Chakraborty, Mir Feroskhan:
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer. CoRR abs/2402.07680 (2024) - [i11]Gao Yu Lee, Jinkuan Chen, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches. CoRR abs/2405.07520 (2024) - [i10]Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti:
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs. CoRR abs/2408.11207 (2024) - [i9]Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm. CoRR abs/2410.14595 (2024) - 2023
- [j3]Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c11]Archit Krishna Kamath, Tanmoy Dam, Heera Lal Maurya, Padmini Singh, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System. ICAR 2023: 425-430 - [c10]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. IJCNN 2023: 1-8 - [i8]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. CoRR abs/2304.10758 (2023) - 2022
- [b1]Tanmoy Dam:
Developing Generative Adversarial Networks for Classification and Clustering: Overcoming Class Imbalance and Catastrophic Forgetting. University of New South Wales, Sydney, Australia, 2022 - [j2]Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass:
Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c9]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. ICIP 2022: 3036-3040 - [c8]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP 2022: 3712-3716 - [c7]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. ECML/PKDD (3) 2022: 373-389 - [i7]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR abs/2209.01555 (2022) - [i6]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. CoRR abs/2209.01558 (2022) - [i5]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier. CoRR abs/2209.02881 (2022) - 2021
- [c6]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CIKM 2021: 2970-2973 - [c5]Subhrasankha Dey, Tanmoy Dam:
Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model. SSCI 2021: 1-8 - [i4]Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass:
Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces. CoRR abs/2107.12706 (2021) - [i3]Subhrasankha Dey, Tanmoy Dam:
Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model. CoRR abs/2108.09684 (2021) - [i2]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CoRR abs/2108.10697 (2021) - [i1]Tanmoy Dam, Nidhi Swami, Sreenatha G. Anavatti, Hussein A. Abbass:
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification. CoRR abs/2111.04019 (2021)
2010 – 2019
- 2017
- [j1]Tanmoy Dam, Alok Kanti Deb:
A clustering algorithm based TS fuzzy model for tracking dynamical system data. J. Frankl. Inst. 354(13): 5617-5645 (2017) - 2016
- [c4]Tanmoy Dam, Alok Kanti Deb:
Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification. FUZZ-IEEE 2016: 1671-1676 - 2015
- [c3]Tanmoy Dam, Alok Kanti Deb:
Interval Type-2 Recursive Fuzzy C-Means Clustering Algorithm in the TS Fuzzy Model Identification. SSCI 2015: 22-29 - [c2]Tanmoy Dam, Alok Kanti Deb:
Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification. SSCI 2015: 1687-1694 - 2014
- [c1]Tanmoy Dam, Alok Kanti Deb:
TS fuzzy model identification by a novel objective function based fuzzy clustering algorithm. CIEL 2014: 41-47
Coauthor Index
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