no code implementations • 16 Jan 2024 • Alessandro Gambetti, Qiwei Han
The paper contributes by open-sourcing the dataset and releasing fake review detectors, recommending its use in unimodal and multimodal fake review detection tasks, and evaluating linguistic and visual features in synthetic versus authentic data.
no code implementations • 4 Dec 2023 • Regina de Brito Duarte, Qiwei Han, Claudia Soares
Medical referrals between primary care physicians (PC) and specialist care (SC) physicians profoundly impact patient care regarding quality, satisfaction, and cost.
no code implementations • 21 Aug 2023 • Filipa Valdeira, Stevo Racković, Valeria Danalachi, Qiwei Han, Cláudia Soares
Our research focuses on medical referrals and aims to predict recommendations in different specialties of physicians for both new patients and those with a consultation history.
no code implementations • 31 May 2023 • Erik Fubel, Niclas Michael Groll, Patrick Gundlach, Qiwei Han, Maximilian Kaiser
Search Engine Result Pages (SERPs) serve as the digital gateways to the vast expanse of the internet.
no code implementations • 11 Feb 2023 • Fynn Oldenburg, Qiwei Han, Maximilian Kaiser
As advertisers increasingly shift their budgets toward digital advertising, forecasting advertising costs is essential for making budget plans to optimize marketing campaign returns.
1 code implementation • 10 Feb 2023 • Alessandro Gambetti, Qiwei Han
Recent advances in generative models such as GPT may be used to fabricate indistinguishable fake customer reviews at a much lower cost, thus posing challenges for social media platforms to detect these machine-generated fake reviews.
no code implementations • 16 Nov 2021 • Max Würfel, Qiwei Han, Maximilian Kaiser
Online advertising revenues account for an increasing share of publishers' revenue streams, especially for small and medium-sized publishers who depend on the advertisement networks of tech companies such as Google and Facebook.
no code implementations • 14 Jun 2021 • Joel Peito, Qiwei Han
In contrast to many other domains, recommender systems in health services may benefit particularly from the incorporation of health domain knowledge, as it helps to provide meaningful and personalised recommendations catering to the individual's health needs.
no code implementations • 9 Aug 2018 • Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic
We partner with a leading European healthcare provider and design a mechanism to match patients with family doctors in primary care.