We have 3 of 87 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This paper presents a novel unsupervised GNN framework for the MDS problem that eliminates the need for ground-truth solutions during training, and achieves up to 55x faster inference than metaheuristic baselines and up to 14x faster inference than supervised learning approaches.
This study introduces a Transformer-driven modeling approach that jointly performs product recommendation and personalized price-level assignment by modeling observed discount-level acceptance as an operational proxy for consumers’ willingness to pay (WTP).
This work introduces PERCEPT, the first publicly available large-scale Persian-English code-mixed corpus annotated with Universal Dependencies POS tags for code-mixed words, and conducts the first comprehensive linguistic analysis of Persian-English code-mixing across multiple social media platforms.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
