Rahee Walambe

Orcid: 0000-0003-1745-5231

Affiliations:
  • Symbiosis Institute of Technology, Symbiosis International, Pune, Maharashtra, India


According to our database1, Rahee Walambe authored at least 36 papers between 2007 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

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

Employing Multimodal Machine Learning for Stress Detection.
CoRR, 2023

Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy.
CoRR, 2023

Domain Adaptation: Challenges, Methods, Datasets, and Applications.
IEEE Access, 2023

Explainable Misinformation Detection Across Multiple Social Media Platforms.
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
How Well Do Self-Supervised Models Transfer to Medical Imaging?
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

MultimodalGasData: Multimodal Dataset for Gas Detection and Classification.
Data, 2022

In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles.
CoRR, 2022

Explainable Misinformation Detection Across Multiple Social Media Platforms.
CoRR, 2022

A comprehensive survey on computational learning methods for analysis of gene expression data in genomics.
CoRR, 2022

Short Text Classification with Tolerance-Based Soft Computing Method.
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
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation.
Sensors, 2021

Incremental learning of LSTM framework for sensor fusion in attitude estimation.
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

A Review on Explainability in Multimodal Deep Neural Nets.
IEEE Access, 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

Sensor Data Cleaning Using Particle Swarm Optimization.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018

2007
Safe and Effective Autonomous Decision Making In Intelligent Robtic Systems.
PhD thesis, 2007

Safe and effective navigation of autonomous robots in hazardous environments.
Auton. Robots, 2007


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