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2020 – today
- 2024
[j32]Rafique Ahmed
, Ali Shariq Imran:
Knee Osteoarthritis Analysis Using Deep Learning and XAI on X-Rays. IEEE Access 12: 68870-68879 (2024)- [j31]Amna Waheed Awan, Imran Taj, Shehzad Khalid, Syed Muhammad Usman, Ali Shariq Imran, Muhammad Usman Akram:
Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition. IEEE Access 12: 141890-141904 (2024) - [j30]Ammar Ahmed, Ali Shariq Imran, Abdul Manaf, Zenun Kastrati, Sher Muhammad Daudpota:
Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models. Biomed. Signal Process. Control. 93: 106144 (2024) - [j29]Ammar Ahmed, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Mohib Ullah, Waheed Noor:
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset. Comput. Biol. Medicine 181: 109044 (2024) - [j28]Mudasir Ahmad Wani, Mohammed Ahmed El-Affendi, Patrick Bours, Ali Shariq Imran, Amir Hussain, Ahmed A. Abd El-Latif:
CoDeS: A Deep Learning Framework for Identifying COVID-Caused Depression Symptoms. Cogn. Comput. 16(1): 305-325 (2024) - [j27]Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, R. Muhammad Atif Azad:
Metadata augmented deep neural networks for wild animal classification. Ecol. Informatics 83: 102805 (2024) - [j26]Muhamet Kastrati, Zenun Kastrati, Ali Shariq Imran, Marenglen Biba:
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification. J. Intell. Inf. Syst. 62(4): 1045-1070 (2024) - [c53]Muhammad Moosa, Muhammad Mudassar Yamin, Ehtesham Hashmi, Azeddine Beghdadi, Ali Shariq Imran, Faouzi Alaya Cheikh, Mohib Ullah:
SMT: Self-supervised Approach for Multiple Animal Detection and Tracking. AIAI (2) 2024: 307-317 - [i5]Ammar Ahmed, Ali Shariq Imran, Abdul Manaf, Zenun Kastrati, Sher Muhammad Daudpota:
Enhancing Wrist Fracture Detection with YOLO. CoRR abs/2407.12597 (2024) - [i4]Ammar Ahmed, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Mohib Ullah, Waheed Noor:
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset. CoRR abs/2408.13542 (2024) - [i3]Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, R. Muhammad Atif Azad:
Metadata augmented deep neural networks for wild animal classification. CoRR abs/2409.04825 (2024) - 2023
- [j25]Zenun Kastrati, Ali Shariq Imran, Sher Muhammad Daudpota, Muhammad Atif Memon, Muhamet Kastrati:
Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers. IEEE Access 11: 26541-26553 (2023) - [j24]Ali Shariq Imran, Henrik Hodnefjeld, Zenun Kastrati, Noureen Fatima, Sher Muhammad Daudpota, Mudasir Ahmad Wani:
Classifying European Court of Human Rights Cases Using Transformer-Based Techniques. IEEE Access 11: 55664-55676 (2023) - [j23]Subhan Ali, Filza Akhlaq, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Muhammad Moosa:
The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review. Comput. Biol. Medicine 166: 107555 (2023) - [j22]Noureen Fatima, Sher Muhammad Daudpota, Zenun Kastrati, Ali Shariq Imran, Saif Hassan, Nouh Sabri Elmitwally:
Improving news headline text generation quality through frequent POS-Tag patterns analysis. Eng. Appl. Artif. Intell. 125: 106718 (2023) - [j21]Soonh Taj, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Raheel Ahmed Memon, Javed Ahmed:
IoT-based supply chain management: A systematic literature review. Internet Things 24: 100982 (2023) - [j20]Mudasir Ahmad Wani, Mohammed Ahmed El-Affendi, Kashish Ara Shakil, Ali Shariq Imran, Ahmed A. Abd El-Latif:
Depression Screening in Humans With AI and Deep Learning Techniques. IEEE Trans. Comput. Soc. Syst. 10(4): 2074-2089 (2023) - [c52]Fayaz Rahman, C. B. Dev Narayan, Mohib Ullah, Muhammad Mudassar Yamin, Øyvind Nordbø, Christopher Coello, Ali Shariq Imran, G. Santhosh Kumar, Madhu S. Nair, Faouzi Alaya Cheikh:
Self-supervised animal detection in constrained environment. BMVC Workshop 2023 - [c51]Aslak Tøn, Ali Shariq Imran, Mohib Ullah:
Wild Animal Species Classification from Camera Traps Using Metadata Analysis. EUVIP 2023: 1-6 - [c50]Saif Hassan, Sarang Shaikh, Muhammad Mudassar Yamin, Basel Katt, Ali Shariq Imran, Mohib Ullah:
Data Driven Skill Assessment for Cybersecurity Exercises. FiCloud 2023: 359-366 - [c49]Hans Petter Fauchald Taralrud, Abdulfatah Abdi Salah, Ali Shariq Imran, Zenun Kastrati:
Multimodal Sentiment Analysis for Personality Prediction. FIT 2023: 55-60 - [c48]Edward Ettesvoll, Leon Camill Rognerud Schüle, Muhammad Mudassar Yamin, Ali Shariq Imran:
Beyond Theory: Investigating the Practical Feasibility of Confidential Computing. FIT 2023: 154-159 - [c47]C. B. Dev Narayan, Fayaz Rahman, Mohib Ullah, Faouzi Alaya Cheikh, Ali Shariq Imran, Christopher Coello, Øyvind Nordbø, G. Santhosh Kumar, Madhu S. Nair:
Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking. AIAI (1) 2023: 561-572 - [c46]Muhammad Azhar, Mohib Ullah, Ali Shariq Imran, Muhammad Mudassar Yamin, Sher Muhammad Daudpota, Faouzi Alaya Cheikh:
Cricket Shot Classification using Transformer. ISPA 2023: 1-6 - [c45]Saif Hassan, Mohib Ullah, Ali Shariq Imran, Faouzi Alaya Cheikh:
Attention-Guided Self-supervised Framework for Facial Emotion Recognition. PRICAI (3) 2023: 294-306 - 2022
- [j19]Noureen Fatima, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Abdullah Soomro:
A Systematic Literature Review on Text Generation Using Deep Neural Network Models. IEEE Access 10: 53490-53503 (2022) - [c44]Muhamet Kastrati, Marenglen Biba, Ali Shariq Imran, Zenun Kastrati:
Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models. ISMIS 2022: 13-23 - 2021
- [j18]Siraj Khan, Muhammad Sajjad, Tanveer Hussain, Amin Ullah, Ali Shariq Imran:
A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images. IEEE Access 9: 10657-10673 (2021) - [j17]Krenare Pireva Nuci, Rabail Tahir, Alf Inge Wang, Ali Shariq Imran:
Game-Based Digital Quiz as a Tool for Improving Students' Engagement and Learning in Online Lectures. IEEE Access 9: 91220-91234 (2021) - [j16]Sarang Shaikh, Sher Muhammad Daudpota, Ali Shariq Imran:
Bloom's Learning Outcomes' Automatic Classification Using LSTM and Pretrained Word Embeddings. IEEE Access 9: 117887-117909 (2021) - [j15]Imran Uddin, Ali Shariq Imran, Khan Muhammad, Nosheen Fayyaz, Muhammad Sajjad:
A Systematic Mapping Review on MOOC Recommender Systems. IEEE Access 9: 118379-118405 (2021) - [j14]Abdul Ghafoor, Ali Shariq Imran, Sher Muhammad Daudpota, Zenun Kastrati, Abdullah, Rakhi Batra, Mudasir Ahmad Wani:
The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing. IEEE Access 9: 124478-124490 (2021) - [j13]Khan Muhammad, Mustaqeem, Amin Ullah, Ali Shariq Imran, Muhammad Sajjad, Mustafa Servet Kiran, Giovanna Sannino, Victor Hugo C. de Albuquerque:
Human action recognition using attention based LSTM network with dilated CNN features. Future Gener. Comput. Syst. 125: 820-830 (2021) - [j12]Noman Khan, Khan Muhammad, Tanveer Hussain, Mansoor Nasir, Muhammad Munsif, Ali Shariq Imran, Muhammad Sajjad:
An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space. Sensors 21(11): 3661 (2021) - [j11]Hikmat Yar, Ali Shariq Imran, Zulfiqar Ahmad Khan, Muhammad Sajjad, Zenun Kastrati:
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm. Sensors 21(14): 4932 (2021) - [j10]Hayat Ullah, Khan Muhammad, Muhammad Irfan, Saeed Anwar, Muhammad Sajjad, Ali Shariq Imran, Victor Hugo C. de Albuquerque:
Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing. IEEE Trans. Image Process. 30: 8968-8982 (2021) - [c43]Abdolreza Sabzi Shahrebabaki, Negar Olfati, Ali Shariq Imran, Magne Hallstein Johnsen, Sabato Marco Siniscalchi, Torbjørn Svendsen:
A Two-Stage Deep Modeling Approach to Articulatory Inversion. ICASSP 2021: 6453-6457 - [c42]Maryam Edalati, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota:
The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC. IntelliSys (3) 2021: 11-22 - [c41]Shpetim Sadriu, Krenare Pireva Nuci, Ali Shariq Imran, Imran Uddin, Muhammad Sajjad:
An Automated Approach for Analysing Students Feedback Using Sentiment Analysis Techniques. MedPRAI 2021: 228-239 - 2020
- [j9]Zenun Kastrati, Ali Shariq Imran, Arianit Kurti:
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs. IEEE Access 8: 106799-106810 (2020) - [j8]Ali Shariq Imran, Sher Muhammad Daudpota, Zenun Kastrati, Rakhi Batra:
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets. IEEE Access 8: 181074-181090 (2020) - [c40]Mohib Ullah, Maqsood Mahmud, Habib Ullah, Kashif Ahmad, Ali Shariq Imran, Faouzi Alaya Cheikh:
Head based tracking. IRIACV 2020: 1-6 - [i2]Mohib Ullah, Maqsood Mahmud, Habib Ullah, Kashif Ahmad, Ali Shariq Imran, Faouzi Alaya Cheikh:
Kalman Filter Based Multiple Person Head Tracking. CoRR abs/2006.06134 (2020) - [i1]Ali Shariq Imran, Sher Mohammad Doudpota, Zenun Kastrati, Rakhi Bhatra:
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning - a Case Study on COVID-19. CoRR abs/2008.10031 (2020)
2010 – 2019
- 2019
- [j7]Abdolreza Sabzi Shahrebabaki, Ali Shariq Imran, Negar Olfati, Torbjørn Svendsen:
A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification. Circuits Syst. Signal Process. 38(8): 3501-3520 (2019) - [j6]Zenun Kastrati, Ali Shariq Imran:
Performance analysis of machine learning classifiers on improved concept vector space models. Future Gener. Comput. Syst. 96: 552-562 (2019) - [j5]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
The impact of deep learning on document classification using semantically rich representations. Inf. Process. Manag. 56(5): 1618-1632 (2019) - [j4]Muhammad Ikram Ullah Lali, Ali Shariq Imran:
A Special Section on Effectiveness of Search Engine and Social Networking Data in Healthcare Systems. J. Medical Imaging Health Informatics 9(4): 647-648 (2019) - [j3]Zenun Kastrati, Ali Shariq Imran, Arianit Kurti:
Integrating word embeddings and document topics with deep learning in a video classification framework. Pattern Recognit. Lett. 128: 85-92 (2019) - [c39]Krenare Pireva, Rabail Tahir, Ali Shariq Imran, Niraj Chaudhary:
Evaluating learners' emotional states by monitoring brain waves for comparing game-based learning approach to pen-and-paper. FIE 2019: 1-8 - [c38]Ali Shariq Imran, Zenun Kastrati, Torbjørn Karl Svendsen, Arianit Kurti:
Text-Independent Speaker ID for Automatic Video Lecture Classification Using Deep Learning. ICCAI 2019: 175-180 - [c37]Ali Shariq Imran, Fisnik Dalipi, Zenun Kastrati:
Predicting Student Dropout in a MOOC: An Evaluation of a Deep Neural Network Model. ICCAI 2019: 190-195 - [c36]Ali Shariq Imran, Abdolreza Sabzi Shahrebabaki, Negar Olfati, Torbjørn Svendsen:
A Study on the Performance Evaluation of Machine Learning Models for Phoneme Classification. ICMLC 2019: 52-58 - [c35]Ali Shariq Imran, Vetle Haflan, Abdolreza Sabzi Shahrebabaki, Negar Olfati, Torbjørn Karl Svendsen:
Evaluating Acoustic Feature Maps in 2D-CNN for Speaker Identification. ICMLC 2019: 211-216 - [c34]Ali Shariq Imran, Zenun Kastrati, Torbjørn Karl Svendsen, Arianit Kurti:
Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting. ICTAI 2019: 273-277 - [c33]Abdolreza Sabzi Shahrebabaki, Negar Olfati, Ali Shariq Imran, Sabato Marco Siniscalchi, Torbjørn Svendsen:
A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion. INTERSPEECH 2019: 3775-3779 - [c32]Zenun Kastrati, Ali Shariq Imran, Arianit Kurti:
Transfer Learning to Timed Text Based Video Classification Using CNN. WIMS 2019: 23:1-23:9 - 2018
- [c31]Fisnik Dalipi, Ali Shariq Imran, Zenun Kastrati:
MOOC dropout prediction using machine learning techniques: Review and research challenges. EDUCON 2018: 1007-1014 - [c30]Abdolreza Sabzi Shahrebabaki, Ali Shariq Imran, Negar Olfati, Torbjørn Svendsen:
Acoustic Feature Comparison for Different Speaking Rates. HCI (3) 2018: 176-189 - [c29]Adnan Hanif, Atif Bin Mansoor, Ali Shariq Imran:
Performance Analysis of Vehicle Detection Techniques: A Concise Survey. WorldCIST (2) 2018: 491-500 - 2017
- [c28]Adnan Hanif, Atif Bin Mansoor, Ali Shariq Imran:
Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking. DICTA 2017: 1-8 - 2016
- [j2]Adnan Hanif, Atif Bin Mansoor, Ali Shariq Imran:
Sub-Nyquist sampling and detection in Costas coded pulse compression radars. EURASIP J. Adv. Signal Process. 2016: 125 (2016) - [j1]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts. Int. J. Semantic Web Inf. Syst. 12(2): 1-24 (2016) - [c27]Mohib Ullah, Faouzi Alaya Cheikh, Ali Shariq Imran:
HoG based real-time multi-target tracking in Bayesian framework. AVSS 2016: 416-422 - [c26]Fisnik Dalipi, Sule Yildirim Yayilgan, Ali Shariq Imran, Zenun Kastrati:
Towards Understanding the MOOC Trend: Pedagogical Challenges and Business Opportunities. HCI (23) 2016: 281-291 - [c25]Ali Shariq Imran, Krenare Pireva, Fisnik Dalipi, Zenun Kastrati:
An Analysis of Social Collaboration and Networking Tools in eLearning. HCI (23) 2016: 332-343 - [c24]Bertan Karahoda, Krenare Pireva, Ali Shariq Imran:
Mel Frequency Cepstral Coefficients Based Similar Albanian Phonemes Recognition. HCI (4) 2016: 491-500 - [c23]Ali Shariq Imran, Zenun Kastrati:
Pedagogical Document Classification and Organization Using Domain Ontology. HCI (23) 2016: 499-509 - 2015
- [c22]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan, Fisnik Dalipi:
Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON. HCI (14) 2015: 148-157 - [c21]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
A General Framework for Text Document Classification Using SEMCON and ACVSR. HCI (4) 2015: 310-319 - [c20]Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Ali Shariq Imran, Heinz Wörn:
How to Tune a Random Forest for Real-time Segmentation in Safe Human-Robot Collaboration? HCI (27) 2015: 700-704 - [c19]Zenun Kastrati, Sule Yildirim Yayilgan, Ali Shariq Imran:
Using Context-Aware and Semantic Similarity Based Model to Enrich Ontology Concepts. NLDB 2015: 137-143 - [c18]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
SEMCON: Semantic and contextual objective metric. ICSC 2015: 65-68 - [c17]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
An Improved Concept Vector Space Model for Ontology Based Classification. SITIS 2015: 240-245 - 2014
- [c16]Zenun Kastrati, Ali Shariq Imran:
Adaptive Concept Vector Space Representation Using Markov Chain Model. EKAW 2014: 203-208 - [c15]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, Sule Yildirim Yayilgan:
Objective keyword selection for lecture video annotation. EUVIP 2014: 1-6 - [c14]Ali Shariq Imran, Atif Bin Mansoor, A. B. M. Tariqul Islam:
An Automatic and Innovative Approach for Converting Pedagogical Text Documents to Visual Learning Object. HCI (27) 2014: 84-88 - [c13]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
Building Domain Ontologies for Hyperlinked Multimedia Pedagogical Platforms. HCI (27) 2014: 95-100 - [c12]Ali Shariq Imran, Stewart James Kowalski:
HIP - A Technology-Rich and Interactive Multimedia Pedagogical Platform. HCI (14) 2014: 151-160 - [c11]A. B. M. Tariqul Islam, Christian Scheel, Ali Shariq Imran, Oliver G. Staadt:
Fast and Accurate 3D Reproduction of a Remote Collaboration Environment. HCI (16) 2014: 351-362 - 2013
- [c10]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, Sule Yildirim Yayilgan:
Semantic Keyword Selection for Automatic Video Annotation. SITIS 2013: 241-246 - 2012
- [c9]Ali Shariq Imran, Faouzi Alaya Cheikh:
Lecture content classification tool. ISCCSP 2012: 1-6 - [c8]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, Sule Yildirim Yayilgan:
Semantic Tags for Lecture Videos. ICSC 2012: 117-120 - [c7]Ali Shariq Imran, Alejandro Moreno, Faouzi Alaya Cheikh:
Exploiting Visual Cues in Non-Scripted Lecture Videos for Multi-modal Action Recognition. SITIS 2012: 8-14 - [c6]Ali Shariq Imran, Sukalpa Chanda, Faouzi Alaya Cheikh, Katrin Franke, Umapada Pal:
Cursive Handwritten Segmentation and Recognition for Instructional Videos. SITIS 2012: 155-160 - 2011
- [c5]Ali Shariq Imran, Faouzi Alaya Cheikh:
Blackboard content classification for lecture videos. ICIP 2011: 2989-2992 - 2010
- [c4]Ali Shariq Imran, Faouzi Alaya Cheikh:
Blind image quality metric for blackboard lecture images. EUSIPCO 2010: 333-337 - [c3]Ali Shariq Imran, Fahad Fazal Elahi Guraya, Faouzi Alaya Cheikh:
A visual attention based reference free perceptual quality metric. EUVIP 2010: 55-60 - [c2]Fahad Fazal Elahi Guraya, Ali Shariq Imran, Yubing Tong, Faouzi Alaya Cheikh:
A non-reference perceptual quality metric based on visual attention model for videos. ISSPA 2010: 361-364
2000 – 2009
- 2009
- [c1]Ali Shariq Imran:
Interactive media learning object in distance and blended education. ACM Multimedia 2009: 1139-1140
Coauthor Index
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