4 citations · 7 across the 6 of their papers we have counts for
6 papers
A Multi-Source Ensemble Approach to Candidate Generation for Alternative Vacation Rental Property Recommendations
Syed Mohammed Arshad Zaidi, Eric Rincon, Shayan Hassantabar
Alternative property recommendations play a critical role in vacation rental marketplaces, helping users discover relevant options when viewing a specific listing. However, generat…
Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces
Syed Mohammed Arshad Zaidi, Eric Rincon, Shayan Hassantabar
Vacation rental marketplaces face a structural imbalance on the supply side: a small fraction of properties receive most user interactions, while the long tail of new, niche, and s…
Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
Syed Mohammed Arshad Zaidi, Varun Chandola, EunHye Yoo
Deep learning approaches for spatio-temporal prediction problems such as crowd-flow prediction assumes data to be of fixed and regular shaped tensor and face challenges of handling…
Optimizations to the Parallel Breath First Search on Distributed Memory
Anuj Sharma, Syed Mohammed Arshad Zaidi
Graphs and their traversal is becoming significant as it is applicable to various areas of mathematics, science and technology. Various problems in fields as varied as biochemistry…
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Sreelekha Guggilam, Syed M. A. Zaidi, Varun Chandola +1
Most current clustering based anomaly detection methods use scoring schema and thresholds to classify anomalies. These methods are often tailored to target specific data sets with…
Bayesian Anomaly Detection Using Extreme Value Theory
Sreelekha Guggilam, S. M. Arshad Zaidi, Varun Chandola +1
Data-driven anomaly detection methods typically build a model for the normal behavior of the target system, and score each data instance with respect to this model. A threshold is…