Wednesday December 18th from 16.15 to 17.22.
Chair: Juan Augusto, Middlesex University
A series of short presentations. Each author will be allocated THREE minutes to summarise the topic of his/her poster. One additional minute is allowed for changeovers between talks. No visual aids are permitted and strict timekeeping will be enforced!
| Short Technical Papers |
16.15 |
OK Google, what is the stock forecast for next week? Leveraging Search Engines for Data Collection, Sentiment Analysis and Stock Predictions N. A. Frederick-Preece and N. Abbas |
16.19 |
University News: A New Data Source for NLP Bias Research Rawan Bin Shiha, Eric Atwell and Noorhan Abbas |
16.23 |
Enhancing Nepali Text Understanding with Machine Translation and LoRA Fine-Tuning of Open-Source LLM Kshitiz Rimal, Dr. Noorhan Abbas |
16.27 |
Audio-visual emotion recognition using Deep Learning methods M. Tolegenov, B. Saheer Lakshmi and M. Maktabdar Oghaz |
16.31 |
Spatial interpolation of air quality: A UK Case study Lorenzo Garbagna, Praseed Melethil, Lakshmi Babu Saheer, Mahdi Maktab Dar Oghaz . |
16.35 |
Talk like a local: Evaluating Large Language Models for Arabic Dialect Translation Using Similarity Scores A. Bouomar and N. Abbas |
16.39 |
On Monadic Binary, with Application to Machine Understanding M.J. Wheatman |
16.43 |
A Proposed ELM Ensemble Approach for Predicting Railway Delays Matthew Day |
16.47 |
Semantic Bone Structure Segmentation in 2D Image Data: Towards Total Knee Arthroplasty Tobias Neiß-Theuerkauff,
Arne Schierbaum,
Thomas Luhmann,
Till Sieberth,
Frank Wallhoff |
| Short Application Papers |
16.51 |
An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection Patricia Asowo, Sangeeta Lal and Uchenna Daniel Ani |
16.55 |
A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities Madalina Croitoru, Pablo Laviron, Sio Bando, Eric Gilles, Amine Milled, Royce Anders, Nathalie Blanc, Gowrishankar Ganesh, Emmanuelle Brigaud |
16.59 |
Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation Xi Liu, Changgang Zheng, Zhen Chen, Yong Liao, Ren Chen, Shufan Yang |
17.03 |
Nursing Activity Recognition for Automated Care Documentation in Clinical Settings F. Wallhoff and F.T. Hesselmann |
17.07 |
Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning Reshma Maharjan, Per-Arne Andersen and Lei Jiao |
17.11 |
Respiratory Disease Detection Using Deep Convolutional Transformer Models H. Burrows, M. Oghaz, L. Saheer |
17.15 |
Evaluating the performance of LLMs when translating Saudi Arabic as Low Resource Language S. Alahmari, E. Atwell, M. Alsalka and H. Saadany |
17.19 |
Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem Lars Nolle, Nils Meinardus, Martin Kumm, Christoph Tholen |