Items where Author is "Dridi, Amna"
Article
Hettiarachchi, Hansi and Dridi, Amna and Gaber, Mohamed Medhat and Parsafard, Pouyan and Bocaneala, Nicoleta and Breitenfelder, Katja and Costa, Gonçal and Hedblom, Maria and Juganaru-Mathieu, Mihaela and Mecharnia, Thamer and Park, Sumee and Tan, He and Tawil, Abdel-Rahman H. and Vakaj, Edlira (2025) CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking. Scientific Data, 12 (1). ISSN 2052-4463
Ashimi, Oluwamayowa and Dridi, Amna and Vakaj, Edlira (2023) Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK. International Conference of Advanced Computing and Informatics. ISSN 2367-4520
Dridi, Amna and Gaber, Mohamed Medhat and Azad, Raja Muhammad Atif and Bhogal, Jagdev (2022) Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study. Big Data and Cognitive Computing, 6 (1). p. 21. ISSN 2504-2289
Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2019) Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access, 7. p. 1. ISSN 2169-3536
Conference or Workshop Item
Okonkwo, Odinakachukwu and Dridi, Amna and Vakaj, Edlira (2023) Leveraging Word Embeddings and Transformers to Extract Semantics from Building Regulations Text. In: 11th Linked Data in Architecture and Construction Workshop, 15th - 16th June 2023, Matera, Italy.
Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2019) DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. In: The 2019 International Joint Conference on Neural Networks (IJCNN), July 14-19, 2019, Budapest, Hungary.
Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2018) k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. In: Discovery Science, October 29–31, 2018, Limassol, Cyprus.
Thesis
Dridi, Amna (2021) Leveraging Temporal Word Embeddings for the Detection of Scientific Trends. Doctoral thesis, Birmingham City University.