Kashif Ahmad

Orcid: 0000-0002-0931-9275

According to our database1, Kashif Ahmad authored at least 73 papers between 2013 and 2024.

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Bibliography

2024
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues.
IEEE Trans. Learn. Technol., 2024

Data-Driven Artificial Intelligence in Education: A Comprehensive Review.
IEEE Trans. Learn. Technol., 2024

Stylometry Analysis of Multi-authored Documents for Authorship and Author Style Change Detection.
CoRR, 2024

2023
Toward Improved Reliability of Deep Learning Based Systems Through Online Relabeling of Potential Adversarial Attacks.
IEEE Trans. Reliab., December, 2023

Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions.
IEEE Trans. Comput. Soc. Syst., December, 2023

Explainable event recognition.
Multim. Tools Appl., November, 2023

Recognizing British Sign Language Using Deep Learning: A Contactless and Privacy-Preserving Approach.
IEEE Trans. Comput. Soc. Syst., August, 2023

An Efficient Character-Level Adversarial Attack Inspired by Textual Variations in Online Social Media Platforms.
Comput. Syst. Sci. Eng., 2023

Document Provenance and Authentication through Authorship Classification.
CoRR, 2023

Relevance Classification of Flood-related Twitter Posts via Multiple Transformers.
CoRR, 2023

2022
Visual Sentiment Analysis from Disaster Images in Social Media.
Sensors, 2022

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge.
IEEE Open J. Comput. Soc., 2022

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions.
IEEE Internet Things J., 2022

Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges.
Comput. Sci. Rev., 2022

Merit-based Fusion of NLP Techniques for Instant Feedback on Water Quality from Twitter Text.
CoRR, 2022

Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Relevance Classification of Flood-related Twitter Posts via Multiple Transformers.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

An Explainable Regression Framework for Predicting Remaining Useful Life of Machines.
Proceedings of the 27th International Conference on Automation and Computing, 2022

A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
Active learning for event detection in support of disaster analysis applications.
Signal Image Video Process., 2021

Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021.
CoRR, 2021

Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions.
CoRR, 2021

Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions.
CoRR, 2021

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions.
CoRR, 2021

Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset.
CoRR, 2021

The Diabetic Buddy: A Diet Regulator andTracking System for Diabetics.
CoRR, 2021

Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

NLP Techniques for Water Quality Analysis in Social Media Content.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

The Diabetic Buddy: A Diet Regulator and Tracking System for Diabetics.
Proceedings of the 18th International Conference on Content-Based Multimedia Indexing, 2021

2020
Automatic food recognition system for middle-eastern cuisines.
IET Image Process., 2020

Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges.
CoRR, 2020

Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case.
CoRR, 2020

Kalman Filter Based Multiple Person Head Tracking.
CoRR, 2020

Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case.
CoRR, 2020

Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions.
IEEE Access, 2020

Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification.
IEEE Access, 2020

Intelligent Fusion of Deep Features for Improved Waste Classification.
IEEE Access, 2020

Floods Detection in Twitter Text and Images.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Fake News Detection in Social Media Using Graph Neural Networks and NLP Techniques: A COVID-19 Use-Case.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Flood Detection via Twitter Streams Using Textual and Visual Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services.
Proceedings of the IEEE Global Communications Conference, 2020

Head based tracking.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2020, 2020

PSO and Genetic modeling of Deep Features for Road Passibility Analysis during Floods.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2020, 2020

2019
How Deep Features Have Improved Event Recognition in Multimedia: A Survey.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Automatic detection of passable roads after floods in remote sensed and social media data.
Signal Process. Image Commun., 2019

Natural disasters detection in social media and satellite imagery: a survey.
Multim. Tools Appl., 2019

Social media and satellites - Disaster event detection, linking and summarization.
Multim. Tools Appl., 2019

Food items detection and recognition via multiple deep models.
J. Electronic Imaging, 2019

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences.
CoRR, 2019

Natural Disasters Detection in Social Media and Satellite imagery: a survey.
CoRR, 2019

Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

A Food Recognition and Tracking System for Diabetics in the Middle East.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

An Evolutionary Bootstrapping Development Approach for a Mental Health Conversational Agent.
Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

Sentiment Analysis from Images of Natural Disasters.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018
Ensemble of Deep Models for Event Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2018

A saliency-based approach to event recognition.
Signal Process. Image Commun., 2018

Event Recognition in Personal Photo Collections: An Active Learning Approach.
Proceedings of the Visual Information Processing and Communication IX, Burlingame, CA, USA, 28 January 2018, 2018

Deep Learning Approaches for Flood Classification and Flood Aftermath Detection.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

2017
Events based Multimedia Indexing and Retrieval.
PhD thesis, 2017

Event recognition in personal photo collections via multiple instance learning-based classification of multiple images.
J. Electronic Imaging, 2017

The JORD System: Linking Sky and Social Multimedia Data to Natural Disasters.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Convolutional Neural Networks for Disaster Images Retrieval.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

A pool of deep models for event recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery.
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

2016
USED: a large-scale social event detection dataset.
Proceedings of the 7th International Conference on Multimedia Systems, 2016

A hierarchical approach to event discovery from single images using MIL framework.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Computer vision based room interior design.
Proceedings of the Eighth International Conference on Machine Vision, 2015

2014
Electronic Health Records: A Survey of the Experiences and Expectations of Irish Dermatologists.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Saliency based skin detection in complex scenes.
Proceedings of the Sixth International Conference on Machine Vision, 2013


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