Blar i NTNU Open på forfatter "Imran, Ali Shariq"
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SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning
Memon, Abdul Ghafoor; Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Shaikh, Sarang; Batra, Rakhi (Peer reviewed; Journal article, 2023)Low-resource languages are gaining much-needed attention with the advent of deep learning models and pre-trained word embedding. Though spoken by more than 230 million people worldwide, Urdu is one such low-resource language ... -
Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers
Kastrati, Zenun; Imran, Ali Shariq; Daudpota, Sher Muhammad; Memjon, Muhammad Atif; Kastrati, Muhamet (Peer reviewed; Journal article, 2023)Energy prices have gone up gradually since last year, but a drastic hike has been observed recently in the past couple of months, affecting people’s thrift. This, coupled with the load shedding and energy shortages in some ... -
Sub-Nyquist sampling and detection in Costas coded pulse compression radars
Hanif, Adnan; Mansoor, Atif Bin; Imran, Ali Shariq (Peer reviewed; Journal article, 2016)Modern pulse compression radar involves digital signal processing of high bandwidth pulses modulated with different coding schemes. One of the limiting factors in the radar’s design to achieve desired target range and ... -
A Systematic Literature Review on Text Generation Using Deep Neural Network Models
Fatima, Noureen; Imran, Ali Shariq; Kastrati, Zenun; Daudpota, Sher Muhammad; Soomro, Abdullah (Peer reviewed; Journal article, 2022)In recent years, significant progress has been made in text generation. The latest text generation models are revolutionizing the domain by generating human-like text. It has gained wide popularity recently in many domains ... -
A Systematic Mapping Review on MOOC Recommender Systems
Uddin, Imran; Imran, Ali Shariq; Muhammad, Khan; Fayyaz, Nosheen; Sajjad, Muhammad (Journal article; Peer reviewed, 2021) -
The impact of deep learning on document classification using semantically rich representations
Kastrati, Zenun; Imran, Ali Shariq; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2019)This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules ... -
Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models
Shaikh, Sarang; Daudpota, Sher Muhammad; Imran, Ali Shariq; Kastrati, Zenun (Peer reviewed; Journal article, 2021)Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing ... -
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
Yar, Hikmat; Imran, Ali Shariq; Khan, Zulfiqar; Sajjad, Muhammad; Kastrati, Zenun (Peer reviewed; Journal article, 2021)Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even ... -
A Two-Stage Deep Modeling Approach to Articulatory Inversion
Sabzi Shahrebabaki, Abdolreza; Olfati, Negar; Imran, Ali Shariq; Johnsen, Magne Hallstein; Siniscalchi, Sabato Marco; Svendsen, Torbjørn Karl (Chapter, 2021)This paper proposes a two-stage deep feed-forward neural network (DNN) to tackle the acoustic-to-articulatory inversion (AAI) problem. DNNs are a viable solution for the AAI task, but the temporal continuity of the estimated ... -
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Peer reviewed; Journal article, 2020)Students’ feedback is an effective mechanism that provides valuable insights about teachinglearning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically ... -
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Peer reviewed; Journal article, 2020)Students' feedback is an effective mechanism that provides valuable insights about teaching-learning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically ... -
Web App for Physical Face Authentication
Fredriksen, Marius Kristoffer Petrecz; Fuhr, Sander; Larsen, Alexander Eckhoff (Bachelor thesis, 2022)Mobai er en bedrift som driver med biometrisk autentisering. For å gjøre dette har de programvare som benytter seg av en passleser og et webkamera for å sammenligne ansiktstrekk og øyne på passbildet mot bilder tatt med ... -
WET: Word embedding-topic distribution vectors for MOOC video lectures dataset
Kastrati, Zenun; Kurti, Arianit; Imran, Ali Shariq (Journal article; Peer reviewed, 2020)In this article, we present a dataset containing word embeddings and document topic distribution vectors generated from MOOCs video lecture transcripts. Transcripts of 12,032 video lectures from 200 courses were collected ...