Milena Stróżyna

Poznan University of Economics · Department of Information Systems

The objective of this research was to design a method to assign topics to claims debunked by fact-checking agencies. During the fact-checking process, access to more structured knowledge is necessary; therefore, we aim to describe topics with semantic vocabulary. Classification of topics should go beyond simple connotations like instance-class and...

This paper presents the experiments and results for the CheckThat! Lab at CLEF 2024 Task 6: Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). The primary objective of this task was to generate adversarial examples in five problem domains in order to evaluate the robustness of widely used text classification methods (fine...

This paper presents the experiments and results for the CheckThat! Lab at CLEF 2024 Task 6: Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). The primary objective of this task was to generate adversarial examples in five problem domains in order to evaluate the robustness of widely used text classification methods (fine...

Maritime transport plays a key role in the global and local economy, accounting for 80% of global trade by volume. This makes smooth operation of the maritime transport essential. However, the sector faces the constant risk of various crises and their potential consequences that may significantly impact and disrupt the movement of goods on local, r...

This paper presents the research findings resulting from experiments conducted as part of the Check-That! Lab Task 1B-English submission at CLEF 2023. The aim of the research was to evaluate the check-worthiness of short texts in English. Various methodologies were employed, including zero-shot, few-shot, and fine-tuning techniques, and different G...

In this paper the impact of large language models (LLM) on the fake news phenomenon is analysed. On the one hand decent text‐generation capabilities can be misused for mass fake news production. On the other, LLMs trained on huge volumes of text have already accumulated information on many facts thus one may assume they could be used for fact‐check...

The book delivers a rich set of foundations, state-of-the-art knowledge, new approaches and methods for the purpose of anomalies detection, maritime traffic analysis as well as risk and reliability assessment. It addresses relevant research problems at the intersection of maritime transport in global economies, reliability and risk assessment, and...

Open data is an integral part of Smart City projects carried out around the world. A public transport network is widely used when it is safe, well designed and reliable. The development and maintenance of the urban transport are key items in city budgets. Decisions regarding changes and the future organization of the public transport are supported...

Recently we observe a significant increase in the amount of easily accessible data on transport and mobility. This data is mostly massive streams of high velocity, magnitude, and heterogeneity, which represent a flow of goods, shipments and the movements of fleet. It is therefore necessary to develop a scalable framework and apply tools capable of...

We present an approach for extracting vessel movement patterns from historical Automatic Identification System (AIS) messages that are combined with historical weather information. In the maritime domain, safe and efficient vessel operations depend upon a prescient voyage planning and ship monitoring. Realization of these tasks require IT systems t...

Maritime transport plays nowadays a key role in the global economy. In this context, assurance of safety and security at sea is of prime importance. To this end, in the maritime domain there exists number of information systems that improve safety, identify hazardous areas and suspicious ships. These systems generate large amounts of data that are...

The presented method reconstructs a network (a graph) from AIS data, which reflects vessel traffic and can be used for route planning. The approach consists of three main steps: maneuvering points detection, waypoints discovery, and edge construction. The maneuvering points detection uses the CUSUM method and reduces the amount of data for further...

Maritime transport plays nowadays an important role in the global economy. In 2017 around 80% of trade was carried by sea, therefore there is a need for constant monitoring of transport processes from the point of view of their reliability and punctuality. In order to provide up-to-date information about reliability and punctuality, a lot of data f...

The paper presents results of spatial analysis of huge volume of AIS data with the goal to detect predefined maritime anomalies. The maritime anomalies analysed have been grouped into: traffic analysis, static anomalies, and loitering detection. The analysis was carried out on data describing movement of tankers worldwide in 2015, using sophisticat...

This paper presents methods for anomaly detection in the maritime domain-tested in a traditional and big data setting. The generic methods were designed and developed within the EDA-funded SIMMO project, whose goal was to develop a maritime surveillance system based on AIS messages enriched with ancillary data sources. AIS (Automatic Identification...

The paper presents a proposal for a framework for the identification, assessment and selection of open data sources based on certain quality criteria, such as accessibility, relevance, accuracy & reliability, clarity, timeliness & punctuality, and coherence & comparability. The framework concerns mainly open data sources and focuses on their qualit...

The paper presents a method that concerns the problem of determining a hazard level for various maritime areas based on selected risk factors. These factors reflect hazards that may happen on the route of a given ship and thus may potentially influence on reliability of supply and level of maritime risk for the ship. The results of the method can b...

The paper presents a conception of a doctoral dissertation, which concerns the problem of estimation of maritime risk and reliability of maritime transport services. In the dissertation a method for dynamic risk assessment based on the Bayesian Network approach is presented. The method concern the risk of an individual ship and its aim is to identi...

In this paper, we discuss a software architecture, which has been developed for the needs of the System for Intelligent Maritime Monitoring (SIMMO). The system bases on the state-of-the-art information fusion and intelligence analysis techniques, which generates an enhanced Recognized Maritime Picture and thus supports situation analysis and deci-...

The article concerns integration and disambiguation of data related to maritime domain. A developed system is described, which collects and merges data about several maritime-related entities (vessels, vessel types, ports, companies etc.) retrieved from different internet sources and feeds the data into a single database. This process is however no...

In this paper, we present a maritime domain awareness system, developed within the project System for Intelligent Maritime MOnitoring (SIMMO), which aims at creating an enhanced Recognized Maritime Picture (RMP) and thus supporting a user in situation analysis and decision-making process. The general goal of the SIMMO system is to fuse an up-to-dat...

In this paper, we present a maritime domain awareness system, developed within the project System for Intelligent Maritime MOnitoring (SIMMO), which aims at creating an enhanced Recognized Maritime Picture (RMP) and thus supporting a user in situation analysis and decision-making process. The general goal of the SIMMO system is to fuse an up-to-dat...

The paper presents a methodology for identification, assessment and selection of internet data sources that shall be used to supplement existing internal data in a continuous manner. Several criteria are specified to help in the selection process. The proposed method is described based on an example of the system for the maritime surveillance purpo...

The article focuses on the development of public e-services and implementation of Business Process Orientation approach in public administration in Poland. An emphasis is put here on activities carried out by local government units in Poland. In the article the current state of development of e-services in Poland is discussed, followed by an analy...