Tanmoy Dam

Orcid: 0000-0003-3022-0971

According to our database1, Tanmoy Dam authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams.
IEEE Trans. Artif. Intell., August, 2024

Unlocking the capabilities of explainable few-shot learning in remote sensing.
Artif. Intell. Rev., July, 2024

GATE: A guided approach for time series ensemble forecasting.
Expert Syst. Appl., January, 2024

DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm.
CoRR, 2024

Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches.
CoRR, 2024

HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

2022
Developing Generative Adversarial Networks for Classification and Clustering: Overcoming Class Imbalance and Catastrophic Forgetting.
PhD thesis, 2022

Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Scalable Adversarial Online Continual Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Latent Preserving Generative Adversarial Network for Imbalance Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification.
CoRR, 2021

Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces.
CoRR, 2021

Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Does Adversarial Oversampling Help us?
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2017
A clustering algorithm based TS fuzzy model for tracking dynamical system data.
J. Frankl. Inst., 2017

2016
Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Interval Type-2 Recursive Fuzzy C-Means Clustering Algorithm in the TS Fuzzy Model Identification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014
TS fuzzy model identification by a novel objective function based fuzzy clustering algorithm.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014


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