73 citations · 78 across the 6 of their papers we have counts for
7 papers
Humans vs. Machines: A Comparison With AI Agents in Software Reverse Engineering
Samuele Doria, Stefano De Rosa, Ruoyu Wang +3
Can an autonomous AI agent reverse engineer a binary as well as a skilled human analyst? Do they adopt the same strategy, and can agents scale to real-world programs? We compare hu…
AI-Based Screening for Depression and Social Anxiety Through Eye Tracking: An Exploratory Study
Karol Chlasta, Katarzyna Wisiecka, Krzysztof Krejtz +1
Well-being is a dynamic construct that evolves over time and fluctuates within individuals, presenting challenges for accurate quantification. Reduced well-being is often linked to…
MyMigrationBot: A Cloud-based Facebook Social Chatbot for Migrant Populations
Karol Chlasta, Paweł Sochaczewski, Izabela Grabowska +1
We present the design, implementation and evaluation of a new cloud-based social chatbot called MyMigrationBot, that is deployed to Facebook. The system asks and answers questions…
Hybrid approach to detecting symptoms of depression in social media entries
Agnieszka Wołk, Karol Chlasta, Paweł Holas
Sentiment and lexical analyses are widely used to detect depression or anxiety disorders. It has been documented that there are significant differences in the language used by a pe…
VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction
Khanh-Duy Le, Tanh Quang Tran, Karol Chlasta +3
Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual…
Automated speech-based screening of depression using deep convolutional neural networks
Karol Chlasta, Krzysztof Wołk, Izabela Krejtz
Early detection and treatment of depression is essential in promoting remission, preventing relapse, and reducing the emotional burden of the disease. Current diagnoses are primari…
Sentiment analysis model for Twitter data in Polish language
Karol Chlasta
Text mining analysis of tweets gathered during Polish presidential election on May 10th, 2015. The project included implementation of engine to retrieve information from Twitter, b…