TS fuzzy model identification by a novel objective function based fuzzy clustering algorithm. - Tanmoy Dam; Alok Kanti Deb (CIEL, 2014)

Interval Type-2 Recursive Fuzzy C-Means Clustering Algorithm in the TS Fuzzy Model Identification. - Tanmoy Dam; Alok Kanti Deb (SSCI, 2015)

Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification. - Tanmoy Dam; Alok Kanti Deb (SSCI, 2015)

Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification. - Tanmoy Dam; Alok Kanti Deb (FUZZ-IEEE, 2016)

A clustering algorithm based TS fuzzy model for tracking dynamical system data. - Tanmoy Dam; Alok Kanti Deb (J. Frankl. Inst., 2017)

Does Adversarial Oversampling Help us? - Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (CIKM, 2021)

Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model. - Subhrasankha Dey; Tanmoy Dam (SSCI, 2021)

Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces. - Tanmoy Dam; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2021)

Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification. - Tanmoy Dam; Nidhi Swami; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2021)

Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. - Harshita Boonlia; Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Ankan Mullick (ICIP, 2022)

Latent Preserving Generative Adversarial Network for Imbalance Classification. - Tanmoy Dam; Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (ICIP, 2022)

Scalable Adversarial Online Continual Learning. - Tanmoy Dam; Mahardhika Pratama; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Hussein A. Abbass (ECML/PKDD (3), 2022)

Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification. - Tanmoy Dam; Sreenatha G. Anavatti; Hussein A. Abbass (IEEE Geosci. Remote. Sens. Lett., 2022)

Developing Generative Adversarial Networks for Classification and Clustering: Overcoming Class Imbalance and Catastrophic Forgetting. - Tanmoy Dam (2022)

Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System. - Archit Krishna Kamath; Tanmoy Dam; Heera Lal Maurya; Padmini Singh; Ranjith Ravindranathan Nair; Saeid Nahavandi (ICAR, 2023)

Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Tanmoy Dam; Mahardhika Pratama; Berlian Al Kindhi (IJCNN, 2023)

WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images. - Gao Yu Lee; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (IEEE Geosci. Remote. Sens. Lett., 2023)

Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs. - Sanjay Bhargav Dharavath; Tanmoy Dam; Supriyo Chakraborty; Prithwiraj Roy; Aniruddha Maiti (CIKM, 2024)

AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer. - Tanmoy Dam; Sanjay Bhargav Dharavath; Sameer Alam; Nimrod Lilith; Supriyo Chakraborty; Mir Feroskhan (ICRA, 2024)

HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification. - Gao Yu Lee; Tanmoy Dam; Daniel Puiu Poenar; Vu N. Duong; Md Meftahul Ferdaus (WACV, 2024)

Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches. - Gao Yu Lee; Jinkuan Chen; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (CoRR, 2024)

DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm. - Gao Yu Lee; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (CoRR, 2024)

GATE: A guided approach for time series ensemble forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Tanmoy Dam; Md Meftahul Ferdaus; Murat Tahtali; Savitha Ramasamy; Mahardhika Pratama (Expert Syst. Appl., 2024)

Unlocking the capabilities of explainable few-shot learning in remote sensing. - Gao Yu Lee; Tanmoy Dam; Md Meftahul Ferdaus; Daniel Puiu Poenar; Vu N. Duong (Artif. Intell. Rev., 2024)

X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams. - Md Meftahul Ferdaus; Tanmoy Dam; Sameer Alam; Duc-Thinh Pham (IEEE Trans. Artif. Intell., 2024)

UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM. - Xuhui Guo; Tanmoy Dam; Rohan Dhamdhere; Gourav Modanwal; Anant Madabhushi (ISBI, 2025)

Foundation Models for Clean Energy Forecasting: A Comprehensive Review. - Md Meftahul Ferdaus; Tanmoy Dam; Md. Rasel Sarkar; Moslem Uddin; Sreenatha G. Anavatti (CoRR, 2025)

ASPEN-WIND: Adaptive spectral and self-supervised interactive CNN-LSTM for enhanced wind power forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Md Meftahul Ferdaus; Tanmoy Dam (Expert Syst. Appl., 2026)