Items where Author is "Dridi, Amna"

Article

Fildisi, Buket and Vakaj, Edlira and Dridi, Amna and Imran, Ali Shariq and Azad, Muhammad Ajmal (2025) Integrating AI-Driven Analytics for Enhanced ESG Mapping: Aligning Local and Global Perspectives. Sustainable Futures. ISSN 2666-1888 (In Press)

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.