Mandar Gogate

Orcid: 0000-0003-1712-9014

According to our database1, Mandar Gogate authored at least 66 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey.
Cogn. Comput., November, 2024

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modeling and User Preference Learning.
IEEE Trans. Fuzzy Syst., October, 2024

Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis.
IEEE Trans. Affect. Comput., 2024

DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement.
Knowl. Based Syst., 2024

Towards Environmental Preference Based Speech Enhancement For Individualised Multi-Modal Hearing Aids.
CoRR, 2024

2023
Steel surface defect detection based on self-supervised contrastive representation learning with matching metric.
Appl. Soft Comput., September, 2023

Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning.
Comput., June, 2023

A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting.
Entropy, February, 2023

DNet-CNet: a novel cascaded deep network for real-time lane detection and classification.
J. Ambient Intell. Humaniz. Comput., 2023

Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Application for Real-time Audio-Visual Speech Enhancement.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Individualised Speech Enhancement: An SNR Preference Learning System for Multi-Modal Hearing Aids.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids.
Proceedings of the IEEE International Conference on Acoustics, 2023

Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2023

The P vs. NP Problem and Attempts to Settle It via Perfect Graphs State-of-the-Art Approach.
Proceedings of the Advances in Information and Communication, 2023

2022
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement.
IEEE Trans. Artif. Intell., 2022

Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis.
Soc. Netw. Anal. Min., 2022

COVID-opt-aiNet: A clinical decision support system for COVID-19 detection.
Int. J. Imaging Syst. Technol., 2022

Audio-Visual Speech Enhancement and Separation by Leveraging Multi-Modal Self-Supervised Embeddings.
CoRR, 2022

A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning.
CoRR, 2022

Arabic sentiment analysis using dependency-based rules and deep neural networks.
Appl. Soft Comput., 2022

AVSE Challenge: Audio-Visual Speech Enhancement Challenge.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids.
Proceedings of the IEEE International Conference on E-health Networking, 2022

A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

Formulations and Algorithms to Find Maximal and Maximum Independent Sets of Graphs.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Lip-Reading Driven Deep Learning Approach for Speech Enhancement.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect.
SN Comput. Sci., 2021

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks.
Sensors, 2021

Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps.
Neurocomputing, 2021

A novel context-aware multimodal framework for persian sentiment analysis.
Neurocomputing, 2021

Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media.
Frontiers Big Data, 2021

Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models.
Entropy, 2021

Sentiment Analysis of Persian Movie Reviews Using Deep Learning.
Entropy, 2021

Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts.
Entropy, 2021

Towards Robust Real-time Audio-Visual Speech Enhancement.
CoRR, 2021

Towards Intelligibility-Oriented Audio-Visual Speech Enhancement.
CoRR, 2021

Robust Visual Saliency Optimization Based on Bidirectional Markov Chains.
Cogn. Comput., 2021

Comparing the Performance of Different Classifiers for Posture Detection.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2021

Detecting Alzheimer's Disease Using Machine Learning Methods.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2021

2020
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement.
Inf. Fusion, 2020

Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments.
Inf. Fusion, 2020

A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks.
Neurocomputing, 2020

Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Deep Neural Network Driven Binaural Audio Visual Speech Separation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA).
Neurocomputing, 2019

AV Speech Enhancement Challenge using a Real Noisy Corpus.
CoRR, 2019

CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement.
CoRR, 2019

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management.
CoRR, 2019

Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing.
Cogn. Comput., 2019

Random Features and Random Neurons for Brain-Inspired Big Data Analytics.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments.
CoRR, 2018

DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Exploiting Deep Learning for Persian Sentiment Analysis.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Deep learning driven multimodal fusion for automated deception detection.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Comparative Study of Persian Sentiment Analysis Based on Different Feature Combinations.
Proceedings of the Communications, Signal Processing, and Systems, 2017

Toward's Arabic Multi-modal Sentiment Analysis.
Proceedings of the Communications, Signal Processing, and Systems, 2017

Complex-valued computational model of hippocampal CA3 recurrent collaterals.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

Persian Named Entity Recognition.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016
A Generative Learning Approach to Sensor Fusion and Change Detection.
Cogn. Comput., 2016


  Loading...