Rahee Walambe
Orcid: 0000-0003-1745-5231Affiliations:
- Symbiosis Institute of Technology, Symbiosis International, Pune, Maharashtra, India
According to our database1,
Rahee Walambe
authored at least 37 papers
between 2007 and 2024.
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Bibliography
2024
Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
2023
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions.
Brain Informatics, December, 2023
Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI.
Comput. Biol. Medicine, September, 2023
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks.
Soft Comput., April, 2023
Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy.
CoRR, 2023
IEEE Access, 2023
IEEE Access, 2023
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Predicting the Socio Economic Status of end Users of a Maternal Health App by Machine Learning.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
J. Imaging, December, 2022
Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents.
Robotics, 2022
Spatial and temporal features unified self-supervised representation learning networks.
Robotics Auton. Syst., 2022
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity.
Multim. Tools Appl., 2022
Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets.
Image Vis. Comput., 2022
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions.
Inf. Fusion, 2022
Data, 2022
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles.
CoRR, 2022
CoRR, 2022
A comprehensive survey on computational learning methods for analysis of gene expression data in genomics.
CoRR, 2022
Algorithms, 2022
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Sensors, 2021
PeerJ Comput. Sci., 2021
Stance detection with BERT embeddings for credibility analysis of information on social media.
PeerJ Comput. Sci., 2021
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species.
PeerJ Comput. Sci., 2021
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning.
J. Digit. Imaging, 2021
Development and deployment of a generative model-based framework for text to photorealistic image generation.
Neurocomputing, 2021
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media.
CoRR, 2021
Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions.
Comput. Intell. Neurosci., 2021
Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study.
Comput. Hum. Behav., 2021
Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2018
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets.
CoRR, 2018
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018
2007
PhD thesis, 2007
Auton. Robots, 2007