A5076817299- Law, AI, and Intellectual Property
- Ethics and Social Impacts of AI
- Context-Aware Activity Recognition Systems
- Consumer Retail Behavior Studies
- Artificial Intelligence in Healthcare and Education
- Geographic Information Systems Studies
- Radio Frequency Integrated Circuit Design
- Economic and Technological Systems Analysis
- Semantic Web and Ontologies
- Advanced Data Processing Techniques
- Human Mobility and Location-Based Analysis
- Customer churn and segmentation
- Sentiment Analysis and Opinion Mining
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Topic Modeling
- Customer Service Quality and Loyalty
- Natural Language Processing Techniques
- Big Data Technologies and Applications
- Transportation Systems and Safety
- Opportunistic and Delay-Tolerant Networks
Orange (Poland)
2012-2022
Poznań University of Economics and Business
2020
<p>Industry strives to have trustworthy AI systems, then recognize and implement Responsible principles achieve that goal. It is important for us find solutions will help systems. Standardization activities are an element in this regard, as they provide a platform discussion industry towards use work out practical rules requirements. This article first provides overview of the bias issue Artificial Intelligence, presents concept AI. Second, we present examples interesting ongoing works...
Industry strives for trustworthy Artificial Intelligence (AI) systems through recognizing and implementing Responsible AI principles. Solutions supporting that goal are of the utmost interest in context. Standardization is an essential element here, as it provides a platform industry to discuss facilitate not only development practical rules requirements but also ways implement based systems. One principles fairness, bias serious obstacle against it. First, we explain concept highlight...
Following the increasing performance of neural machine translation systems, paradigm using automatically translated data for cross-lingual adaptation is now studied in several applicative domains. The capacity to accurately project annotations remains however an issue sequence tagging tasks where annotation must be projected with correct spans. Additionally, when task implies noisy user-generated text, quality and projection can affected. In this paper we propose tackle multilingual a new...
More and more services rely on user localization, yet presenting a location information in an intuitive form hasn't really been studied to our knowledge. We present method calculate the best way express user's location, given priori modeling of their knowledge about people places, so that users can get "at glance" relatives. Our approach is first attempt at designing such method. results obtained, discuss many ways improve it generalize other context dimensions.
<p>Industry strives to have trustworthy AI systems, then recognize and implement Responsible principles achieve that goal. It is important for us find solutions will help systems. Standardization activities are an element in this regard, as they provide a platform discussion industry towards use work out practical rules requirements. This article first provides overview of the bias issue Artificial Intelligence, presents concept AI. Second, we present examples interesting ongoing works...