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77 results on '"SIENKIEWICZ, JULIAN"'

52. MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence

Author

Gizinski, Stanis��aw, Kuzba, Micha��, Pielinski, Bartosz, Sienkiewicz, Julian, ��aniewski, Stanis��aw, and Biecek, Przemys��aw

Subjects
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Social and Information Networks, Computation and Language (cs.CL), Information Retrieval (cs.IR), Computer Science - Information Retrieval
Abstract

The growing number of AI applications, also for high-stake decisions, increases the interest in Explainable and Interpretable Machine Learning (XI-ML). This trend can be seen both in the increasing number of regulations and strategies for developing trustworthy AI and the growing number of scientific papers dedicated to this topic. To ensure the sustainable development of AI, it is essential to understand the dynamics of the impact of regulation on research papers as well as the impact of scientific discourse on AI-related policies. This paper introduces a novel framework for joint analysis of AI-related policy documents and eXplainable Artificial Intelligence (XAI) research papers. The collected documents are enriched with metadata and interconnections, using various NLP methods combined with a methodology inspired by Institutional Grammar. Based on the information extracted from collected documents, we showcase a series of analyses that help understand interactions, similarities, and differences between documents at different stages of institutionalization. To the best of our knowledge, this is the first work to use automatic language analysis tools to understand the dynamics between XI-ML methods and regulations. We believe that such a system contributes to better cooperation between XAI researchers and AI policymakers.

Published
2021

54. Modelling virus spreading in ride-pooling networks

Author

Kucharski, R.M. (author), Cats, O. (author), Sienkiewicz, Julian (author), Kucharski, R.M. (author), Cats, O. (author), and Sienkiewicz, Julian (author)

Abstract

Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, but also for promoting the sustainability of urban mobility systems. Yet, the potential of ride-pooling rides to serve as a safe and effective alternative given the personal and public health risks considerations associated with the COVID-19 pandemic is hitherto unknown. To answer this, we combine epidemiological and behavioural shareability models to examine spreading among ride-pooling travellers, with an application for Amsterdam. Findings are at first sight devastating, with only few initially infected travellers needed to spread the virus to hundreds of ride-pooling users. Without intervention, ride-pooling system may substantially contribute to virus spreading. Notwithstanding, we identify an effective control measure allowing to halt the spreading before the outbreaks (at 50 instead of 800 infections) without sacrificing the efficiency achieved by pooling. Fixed matches among co-travellers disconnect the otherwise dense contact network, encapsulating the virus in small communities and preventing the outbreaks., Transport and Planning

Published
2021
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60. CYBEREMOTIONS – Collective Emotions in Cyberspace

Author

Ahn, Junghyun, Borowiec, Anna, Buckley, Kevan, Cai, Di, Chmiel, Anna, Czaplicka, Agnieszka, Dąbrowski, Grzegorz, Garas, Antonios, Garcia, David, Gobron, Stéphane, Hillmann, Robert, Hołyst, Janusz, Kappas, Arvid, Küster, Dennis, Mitrovic, Marija, Paltoglou, Georgios, Pirker, Hannes, Rank, Stefan, Schweitzer, Frank, Sienkiewicz, Julian, Skowron, Marcin, Sobkowicz, Paweł, Thalmann, Daniel, Thelwall, Mike, Theunis, Mathias, Trier, Matthias, Tsankova, Elena, and Weronski, Paweł

Published
2011
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75. Path Length Scaling and Discrete Effects in Complex Networks.

Author

Kelso, J.A. Scott, Erdi, Péter, Friston, Karl, Haken, Hermann, Kacprzyk, Janusz, Kurths, Jürgen, Reichl, Linda, Schuster, Peter, Schweitzer, Frank, Sornette, Didier, Helbing, D., Sienkiewicz, Julian, Fronczak, Agata, Fronczak, Piotr, Suchecki, Krzysztof, and Hołyst, Janusz A.

Published
2008
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77. Universal dependence of distances on nodes degrees in complex networks.

Author

Hołyst, Janusz A., Sienkiewicz, Julian, Fronczak, Agata, Fronczak, Piotr, Suchecki, Krzysztof, and Wójcicki, Piotr

Subjects
*RANDOM graphs, *GRAPH theory, *HEURISTIC, *INTERNET, *COMPUTER networks, *TRANSPORTATION
Abstract

We have studied dependence of distances on node degrees between vertices of Erd ős-Rényi random graphs, scale-free Barabási-Albert models, science collaboration networks, biological networks, Internet Autonomous Systems and public transport networks. We have observed that the mean distance between two nodes of degrees ki and kj equals to = A - Blog(kikj). A simple heuristic theory for this scaling law is presented. Corrections due to the network clustering coefficient and node degree-degree correlations are taken into account. © 2005 American Institute of Physics [ABSTRACT FROM AUTHOR]

Published
2005
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