DNN driven speaker independent audio-visual mask estimation for speech separation
(2018)
Presentation / Conference Contribution
Gogate, M., Adeel, A., Marxer, R., Barker, J., & Hussain, A. (2018, September). DNN driven speaker independent audio-visual mask estimation for speech separation. Presented at Interspeech 2018, Baixas, France
Dr. Mandar Gogate's Outputs (8)
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection (2018)
Presentation / Conference Contribution
Ieracitano, C., Adeel, A., Gogate, M., Dashtipour, K., Morabito, F., Larijani, H., Raza, A., & Hussain, A. (2018, July). Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. Presented at 9th International Conference, BICS 2018, Xi'an, ChinaAttackers have developed ever more sophisticated and intelligent ways to hack information and communication technology (ICT) systems. The extent of damage an individual hacker can carry out upon infiltrating a system is well understood. A potentially... Read More about Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection.
Exploiting Deep Learning for Persian Sentiment Analysis (2018)
Presentation / Conference Contribution
Dashtipour, K., Gogate, M., Adeel, A., Ieracitano, C., Larijani, H., & Hussain, A. (2018, July). Exploiting Deep Learning for Persian Sentiment Analysis. Presented at 9th International Conference, BICS 2018, Xi'an, ChinaThe rise of social media is enabling people to freely express their opinions about products and services. The aim of sentiment analysis is to automatically determine subject’s sentiment (e.g., positive, negative, or neutral) towards a particular aspe... Read More about Exploiting Deep Learning for Persian Sentiment Analysis.
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management (2018)
Book Chapter
Adeel, A., Gogate, M., Farooq, S., Ieracitano, C., Dashtipour, K., Larijani, H., & Hussain, A. (2019). A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. In T. S. Durrani, W. Wang, & S. M. Forbes (Eds.), Geological Disaster Monitoring Based on Sensor Networks (57-66). Springer. https://doi.org/10.1007/978-981-13-0992-2_5Extreme events and disasters resulting from climate change or other ecological factors are difficult to predict and manage. Current limitations of state-of-the-art approaches to disaster prediction and management could be addressed by adopting new un... Read More about A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management.
Toward's Arabic multi-modal sentiment analysis (2018)
Presentation / Conference Contribution
Alqarafi, A., Adeel, A., Gogate, M., Dashtipour, K., Hussain, A., & Durrani, T. (2017, July). Toward's Arabic multi-modal sentiment analysis. Presented at International Conference in Communications, Signal Processing, and Systems, Harbin, ChinaIn everyday life, people use internet to express and share opinions, facts, and sentiments about products and services. In addition, social media applications such as Facebook, Twitter, WhatsApp, Snapchat etc., have become important information shari... Read More about Toward's Arabic multi-modal sentiment analysis.
A comparative study of Persian sentiment analysis based on different feature combinations (2018)
Presentation / Conference Contribution
Dashtipour, K., Gogate, M., Adeel, A., Hussain, A., Alqarafi, A., & Durrani, T. (2017, July). A comparative study of Persian sentiment analysis based on different feature combinations. Presented at International Conference in Communications, Signal Processing, and Systems, Harbin, ChinaIn recent years, the use of internet and correspondingly the number of online reviews, comments and opinions have increased significantly. It is indeed very difficult for humans to read these opinions and classify them accurately. Consequently, there... Read More about A comparative study of Persian sentiment analysis based on different feature combinations.
A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition (2018)
Presentation / Conference Contribution
Gogate, M., Adeel, A., & Hussain, A. (2018). A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition. . https://doi.org/10.1109/SSCI.2017.8285377The curse of dimensionality is a well-established phenomenon. However, the properties of high dimensional data are often poorly understood and overlooked during the process of data modelling and analysis. Similarly, how to optimally fuse different mo... Read More about A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition.
Deep learning driven multimodal fusion for automated deception detection (2018)
Presentation / Conference Contribution
Gogate, M., Adeel, A., & Hussain, A. (2018). Deep learning driven multimodal fusion for automated deception detection. . https://doi.org/10.1109/SSCI.2017.8285382Humans ability to detect lies is no more accurate than chance according to the American Psychological Association. The state-of-the-art deception detection methods, such as deception detection stem from early theories and polygraph have proven to be... Read More about Deep learning driven multimodal fusion for automated deception detection.