69 citations · 210 across the 12 of their papers we have counts for
17 papers
A Multi-Modal Deep Learning Based Approach for House Price Prediction
Md Hasebul Hasan, Md Abid Jahan, Mohammed Eunus Ali +2
Accurate prediction of house price, a vital aspect of the residential real estate sector, is of substantial interest for a wide range of stakeholders. However, predicting house pri…
TopicTracker: A Platform for Topic Trajectory Identification and Visualisation
Yong-Bin Kang, Timos Sellis
Topic trajectory information provides crucial insight into the dynamics of topics and their evolutionary relationships over a given time. Also, this information can help to improve…
ExpFinder: An Ensemble Expert Finding Model Integrating -gram Vector Space Model and CO-HITS
Yong-Bin Kang, Hung Du, Abdur Rahim Mohammad Forkan +3
Finding an expert plays a crucial role in driving successful collaborations and speeding up high-quality research development and innovations. However, the rapid growth of scientif…
Top-k Socio-Spatial Co-engaged Location Selection for Social Users
Nur Al Hasan Haldar, Jianxin Li, Mohammed Eunus Ali +3
With the advent of location-based social networks, users can tag their daily activities in different locations through check-ins. These check-in locations signify user preferences…
Boosting House Price Predictions using Geo-Spatial Network Embedding
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li +2
Real estate contributes significantly to all major economies around the world. In particular, house prices have a direct impact on stakeholders, ranging from house buyers to financ…
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Boyu Zhang, A. K. Qin, Hong Pan +1
Conventional DNN training paradigms typically rely on one training set and one validation set, obtained by partitioning an annotated dataset used for training, namely gross trainin…