Mandar Gogate

According to our database1, Mandar Gogate authored at least 31 papers between 2016 and 2021.

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Bibliography

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

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

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

Robust Visual Saliency Optimization Based on Bidirectional Markov Chains.
Cogn. Comput., 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 Interspeech 2020, 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 Interspeech 2018, 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


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