Search Results for author: Vassilis Kostakos

Found 6 papers, 1 papers with code

Efficient and Personalized Mobile Health Event Prediction via Small Language Models

no code implementations17 Sep 2024 Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia

Healthcare monitoring is crucial for early detection, timely intervention, and the ongoing management of health conditions, ultimately improving individuals' quality of life.

Privacy Preserving

Predicting Affective States from Screen Text Sentiment

no code implementations23 Aug 2024 Songyan Teng, Tianyi Zhang, Simon D'Alfonso, Vassilis Kostakos

We employed linear regression, zero-shot, and multi-shot prompting using a large language model (LLM) to analyse relationships between screen text and affective states.

Language Modelling Large Language Model +1

Enabling On-Device LLMs Personalization with Smartphone Sensing

no code implementations5 Jul 2024 Shiquan Zhang, Ying Ma, Le Fang, Hong Jia, Simon D'Alfonso, Vassilis Kostakos

To the best of our knowledge, this is the first framework to provide on-device LLMs personalization with smartphone sensing.

Prompt Engineering

DDoD: Dual Denial of Decision Attacks on Human-AI Teams

no code implementations7 Dec 2022 Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko

Artificial Intelligence (AI) systems have been increasingly used to make decision-making processes faster, more accurate, and more efficient.

Decision Making

CrowdCog: A Cognitive Skill based System for Heterogeneous Task Assignment and Recommendation in Crowdsourcing

1 code implementation Proceedings of the ACM on Human-Computer Interaction 2020 Danula Hettiachchi, Niels van Berkel, Vassilis Kostakos, Jorge Goncalves

While crowd workers typically complete a variety of tasks in crowdsourcing platforms, there is no widely accepted method to successfully match workers to different types of tasks.

Sentiment Analysis

Smartphone App Usage Prediction Using Points of Interest

no code implementations26 Nov 2017 Donghan Yu, Yong Li, Fengli Xu, Pengyu Zhang, Vassilis Kostakos

In this paper we present the first population-level, city-scale analysis of application usage on smartphones.

Transfer Learning

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