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2020 – today
- 2023
[j8]Hikmat H. Ali, Malak Abdullah
, Musab Wedyan:
Application of machine learning techniques to predict patient's satisfaction of indoor environmental quality in Jordanian hospitals. J. Ambient Intell. Humaniz. Comput. 14(10): 13673-13681 (2023)- [j7]Malak Abdullah, Mahmoud Al-Ayyoub, Saif AlRawashdeh, Farah Shatnawi:
E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education. Neural Comput. Appl. 35(16): 11481-11495 (2023) - [j6]Farah Shatnawi, Malak Abdullah, Mahmoud Hammad, Mahmoud Al-Ayyoub:
Comprehensive study of pre-trained language models: detecting humor in news headlines. Soft Comput. 27(5): 2575-2599 (2023) - [c28]Kefah Alissa, Malak Abdullah:
JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-Large. SemEval@ACL 2023: 447-452 - [c27]Doaa Obeidat, Wala'a Shnaigat, Heba Nammas, Malak Abdullah:
JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS). SemEval@ACL 2023: 526-531 - [c26]Ahmed Al-Qarqaz, Malak Abdullah:
Team JUSTR00 at SemEval-2023 Task 3: Transformers for News Articles Classification. SemEval@ACL 2023: 1213-1216 - 2022
- [j5]Maha Gharaibeh, Dalia Alzu'bi, Malak Abdullah, Ismail Hmeidi, Mohammad Rustom Al Nasar, Laith Abualigah, Amir H. Gandomi:
Radiology Imaging Scans for Early Diagnosis of Kidney Tumors: A Review of Data Analytics-Based Machine Learning and Deep Learning Approaches. Big Data Cogn. Comput. 6(1): 29 (2022) - [j4]Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, Yara Alharahsheh:
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations. PeerJ Comput. Sci. 8: e1151 (2022) - [c25]Mohammad Makahleh, Naba Bani Yaseen, Malak Abdullah:
JUST-DEEP at SemEval-2022 Task 4: Using Deep Learning Techniques to Reveal Patronizing and Condescending Language. SemEval@NAACL 2022: 308-312 - [c24]Mohammad Habash, Yahya Daqour, Malak Abdullah, Mahmoud Al-Ayyoub:
YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained Models. SemEval@NAACL 2022: 780-784 - [c23]Malak Abdullah, Dalya Faraj, Safa Swedat, Jumana Khrais, Mahmoud Al-Ayyoub:
SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages. SemEval@NAACL 2022: 1025-1030 - [c22]Malak Abdullah, Alia Madain, Yaser Jararweh:
ChatGPT: Fundamentals, Applications and Social Impacts. SNAMS 2022: 1-8 - 2021
- [j3]Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa:
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures. PeerJ Comput. Sci. 7: e607 (2021) - [c21]Dalya Faraj, Malak Abdullah:
SarcasmDet at SemEval-2021 Task 7: Detect Humor and Offensive based on Demographic Factors using RoBERTa Pre-trained Model. SemEval@ACL/IJCNLP 2021: 527-533 - [c20]Tuqa Bani Yaseen, Qusai Ismail, Sarah Al-Omari, Eslam Al-Sobh, Malak Abdullah:
JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models. SemEval@ACL/IJCNLP 2021: 661-666 - [c19]Dia Abujaber, Ahmed Qarqaz, Malak Abdullah:
LeCun at SemEval-2021 Task 6: Detecting Persuasion Techniques in Text Using Ensembled Pretrained Transformers and Data Augmentation. SemEval@ACL/IJCNLP 2021: 1068-1074 - [c18]Dalya Faraj, Malak Abdullah:
SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model. WANLP 2021: 345-350 - 2020
- [c17]Mohammed Nour AlRashdan, Malak Abdullah, Mahmoud Al-Ayyoub, Yaser Jararweh:
Authorship analysis of English and Spanish tweets. ASIST 2020 - [c16]Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa:
2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays. IJCNN 2020: 1-6 - [c15]Nour Al-Khdour, Mutaz Bni Younes, Malak Abdullah, Mohammad Al-Smadi:
JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in Word Similarity. SemEval@COLING 2020: 292-300 - [c14]Roweida Mohammed, Malak Abdullah:
TeamJUST at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Ensembling Techniques. SemEval@COLING 2020: 594-600 - [c13]Fara Shatnawi, Malak Abdullah, Mahmoud Hammad:
MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor). SemEval@COLING 2020: 1041-1048 - [c12]Ola Altiti, Malak Abdullah, Rasha Obiedat:
JUST at SemEval-2020 Task 11: Detecting Propaganda Techniques Using BERT Pre-trained Model. SemEval@COLING 2020: 1749-1755 - [c11]Roweida Mohammed, Mahmoud Al-Ayyoub, Malak Abdullah:
JUST System for WMT20 Chat Translation Task. WMT@EMNLP 2020: 479-482 - [i1]Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa:
The 2ST-UNet for Pneumothorax Segmentation in Chest X-Rays using ResNet34 as a Backbone for U-Net. CoRR abs/2009.02805 (2020)
2010 – 2019
- 2019
- [j2]Omar ElTayeby, Todd Eaglin, Malak Abdullah, David Burlinson, Wenwen Dou, Lixia Yao:
A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data. Health Informatics J. 25(4) (2019) - [c10]Ayat Abedalla, Aisha Al-Sadi, Malak Abdullah:
A Closer Look at Fake News Detection: A Deep Learning Perspective. ICAAI 2019: 24-28 - [c9]Bara Bataineh, Rehab Duwairi, Malak Abdullah:
ArDep: An Arabic Lexicon for Detecting Depression. ICAAI 2019: 146-151 - [c8]Hani Al-Omari, Malak Abdullah, Nabeel Bassam:
EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning. SemEval@NAACL-HLT 2019: 200-204 - [c7]Ayat Abedalla, Ali Fadel, Ibraheem Tuffaha, Hani Al-Omari, Mohammad Omari, Malak Abdullah, Mahmoud Al-Ayyoub:
MTRecS-DLT: Multi-Modal Transport Recommender System using Deep Learning and Tree Models. SNAMS 2019: 274-278 - [c6]Ethar Qawasmeh, Mais Tawalbeh, Malak Abdullah:
Automatic Identification of Fake News Using Deep Learning. SNAMS 2019: 383-388 - 2018
- [c5]Malak Abdullah, Mirsad Hadzikadic, Samira Shaikh:
SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning. ICMLA 2018: 835-840 - [c4]Malak Abdullah, Samira Shaikh:
TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning. SemEval@NAACL-HLT 2018: 350-357 - 2017
- [c3]Malak Abdullah, Mirsad Hadzikadic:
Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language. HCI (13) 2017: 191-202 - [c2]Malak Abdullah, Mirsad Hadzikadic:
Sentiment Analysis of Twitter Data: Emotions Revealed Regarding Donald Trump during the 2015-16 Primary Debates. ICTAI 2017: 760-764 - [c1]Omar ElTayeby, Todd Eaglin, Malak Abdullah, David Burlinson, Wenwen Dou, Lixia Yao:
Detecting Drinking-Related Contents on Social Media by Classifying Heterogeneous Data Types. IEA/AIE (2) 2017: 364-373 - 2011
- [j1]Malak Abdullah, Emad Abuelrub, Basel A. Mahafzah:
The chained-cubic tree interconnection network. Int. Arab J. Inf. Technol. 8(3): 334-343 (2011)
Coauthor Index
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