Ali Shariq Imran

Orcid: 0000-0002-2416-2878

According to our database1, Ali Shariq Imran authored at least 80 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
CoDeS: A Deep Learning Framework for Identifying COVID-Caused Depression Symptoms.
Cogn. Comput., January, 2024

2023
IoT-based supply chain management: A systematic literature review.
Internet Things, December, 2023

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.
Comput. Biol. Medicine, November, 2023

Depression Screening in Humans With AI and Deep Learning Techniques.
IEEE Trans. Comput. Soc. Syst., August, 2023

Improving news headline text generation quality through frequent POS-Tag patterns analysis.
Eng. Appl. Artif. Intell., 2023

Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers.
IEEE Access, 2023

Classifying European Court of Human Rights Cases Using Transformer-Based Techniques.
IEEE Access, 2023

Attention-Guided Self-supervised Framework for Facial Emotion Recognition.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Cricket Shot Classification using Transformer.
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023

Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Multimodal Sentiment Analysis for Personality Prediction.
Proceedings of the International Conference on Frontiers of Information Technology, 2023

Beyond Theory: Investigating the Practical Feasibility of Confidential Computing.
Proceedings of the International Conference on Frontiers of Information Technology, 2023

Data Driven Skill Assessment for Cybersecurity Exercises.
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023

Wild Animal Species Classification from Camera Traps Using Metadata Analysis.
Proceedings of the 11th European Workshop on Visual Information Processing, 2023

Self-supervised animal detection in constrained environment.
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2022
A Systematic Literature Review on Text Generation Using Deep Neural Network Models.
IEEE Access, 2022

Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2021
Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing.
IEEE Trans. Image Process., 2021

Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm.
Sensors, 2021

An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space.
Sensors, 2021

Human action recognition using attention based LSTM network with dilated CNN features.
Future Gener. Comput. Syst., 2021

A Systematic Mapping Review on MOOC Recommender Systems.
IEEE Access, 2021

Bloom's Learning Outcomes' Automatic Classification Using LSTM and Pretrained Word Embeddings.
IEEE Access, 2021

Game-Based Digital Quiz as a Tool for Improving Students' Engagement and Learning in Online Lectures.
IEEE Access, 2021

A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images.
IEEE Access, 2021

The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing.
IEEE Access, 2021

An Automated Approach for Analysing Students Feedback Using Sentiment Analysis Techniques.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2021

The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC.
Proceedings of the Intelligent Systems and Applications, 2021

A Two-Stage Deep Modeling Approach to Articulatory Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning - a Case Study on COVID-19.
CoRR, 2020

Kalman Filter Based Multiple Person Head Tracking.
CoRR, 2020

Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs.
IEEE Access, 2020

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets.
IEEE Access, 2020

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

2019
Integrating word embeddings and document topics with deep learning in a video classification framework.
Pattern Recognit. Lett., 2019

A Special Section on Effectiveness of Search Engine and Social Networking Data in Healthcare Systems.
J. Medical Imaging Health Informatics, 2019

The impact of deep learning on document classification using semantically rich representations.
Inf. Process. Manag., 2019

Performance analysis of machine learning classifiers on improved concept vector space models.
Future Gener. Comput. Syst., 2019

A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification.
Circuits Syst. Signal Process., 2019

Transfer Learning to Timed Text Based Video Classification Using CNN.
Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019

A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion.
Proceedings of the Interspeech 2019, 2019

Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Study on the Performance Evaluation of Machine Learning Models for Phoneme Classification.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Evaluating Acoustic Feature Maps in 2D-CNN for Speaker Identification.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Text-Independent Speaker ID for Automatic Video Lecture Classification Using Deep Learning.
Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019

Predicting Student Dropout in a MOOC: An Evaluation of a Deep Neural Network Model.
Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019

Evaluating learners' emotional states by monitoring brain waves for comparing game-based learning approach to pen-and-paper.
Proceedings of the IEEE Frontiers in Education Conference, 2019

2018
Performance Analysis of Vehicle Detection Techniques: A Concise Survey.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Acoustic Feature Comparison for Different Speaking Rates.
Proceedings of the Human-Computer Interaction. Interaction Technologies, 2018

MOOC dropout prediction using machine learning techniques: Review and research challenges.
Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

2017
Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts.
Int. J. Semantic Web Inf. Syst., 2016

Sub-Nyquist sampling and detection in Costas coded pulse compression radars.
EURASIP J. Adv. Signal Process., 2016

Mel Frequency Cepstral Coefficients Based Similar Albanian Phonemes Recognition.
Proceedings of the Human Interface and the Management of Information: Information, Design and Interaction, 2016

An Analysis of Social Collaboration and Networking Tools in eLearning.
Proceedings of the Learning and Collaboration Technologies, 2016

Pedagogical Document Classification and Organization Using Domain Ontology.
Proceedings of the Learning and Collaboration Technologies, 2016

Towards Understanding the MOOC Trend: Pedagogical Challenges and Business Opportunities.
Proceedings of the Learning and Collaboration Technologies, 2016

HoG based real-time multi-target tracking in Bayesian framework.
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015
An Improved Concept Vector Space Model for Ontology Based Classification.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

SEMCON: Semantic and contextual objective metric.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Using Context-Aware and Semantic Similarity Based Model to Enrich Ontology Concepts.
Proceedings of the Natural Language Processing and Information Systems, 2015

How to Tune a Random Forest for Real-time Segmentation in Safe Human-Robot Collaboration?
Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015

Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON.
Proceedings of the Social Computing and Social Media, 2015

A General Framework for Text Document Classification Using SEMCON and ACVSR.
Proceedings of the Human Interface and the Management of Information. Information and Knowledge Design, 2015

2014
Building Domain Ontologies for Hyperlinked Multimedia Pedagogical Platforms.
Proceedings of the HCI International 2014 - Posters' Extended Abstracts, 2014

Fast and Accurate 3D Reproduction of a Remote Collaboration Environment.
Proceedings of the Virtual, Augmented and Mixed Reality. Designing and Developing Virtual and Augmented Environments, 2014

An Automatic and Innovative Approach for Converting Pedagogical Text Documents to Visual Learning Object.
Proceedings of the HCI International 2014 - Posters' Extended Abstracts, 2014

HIP - A Technology-Rich and Interactive Multimedia Pedagogical Platform.
Proceedings of the Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences, 2014

Objective keyword selection for lecture video annotation.
Proceedings of the 5th European Workshop on Visual Information Processing, 2014

Adaptive Concept Vector Space Representation Using Markov Chain Model.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

2013
Semantic Keyword Selection for Automatic Video Annotation.
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

2012
Exploiting Visual Cues in Non-Scripted Lecture Videos for Multi-modal Action Recognition.
Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012

Cursive Handwritten Segmentation and Recognition for Instructional Videos.
Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012

Semantic Tags for Lecture Videos.
Proceedings of the Sixth IEEE International Conference on Semantic Computing, 2012

Lecture content classification tool.
Proceedings of the 5th International Symposium on Communications, 2012

2011
Blackboard content classification for lecture videos.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
A non-reference perceptual quality metric based on visual attention model for videos.
Proceedings of the 10th International Conference on Information Sciences, 2010

A visual attention based reference free perceptual quality metric.
Proceedings of the 2nd European Workshop on Visual Information Processing, 2010

Blind image quality metric for blackboard lecture images.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Interactive media learning object in distance and blended education.
Proceedings of the 17th International Conference on Multimedia 2009, 2009


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