Institution
University of Patras
Education•Pátrai, Greece•
About: University of Patras is a education organization based out in Pátrai, Greece. It is known for research contribution in the topics: Population & Catalysis. The organization has 13372 authors who have published 31263 publications receiving 677159 citations. The organization is also known as: Panepistímio Patrón.
Papers published on a yearly basis
Papers
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Tokyo University of Agriculture and Technology1, University of Tokyo2, University of Hong Kong3, Universiti Putra Malaysia4, California Coastal Commission5, University of Aveiro6, Ehime University7, University of Patras8, Council of Scientific and Industrial Research9, California State University, Long Beach10, University of Plymouth11
TL;DR: The utility and feasibility of the International Pellet Watch approach to monitor POPs at a global scale are demonstrated and high concentrations of pesticide HCHs were detected in the pellets from southern Africa, suggesting current usage of the pesticides in southern Africa.
545 citations
TL;DR: In this paper, a literature review and taxonomy of machine learning interpretability methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.
Abstract: Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks. However, this surge in performance, has often been achieved through increased model complexity, turning such systems into “black box” approaches and causing uncertainty regarding the way they operate and, ultimately, the way that they come to decisions. This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare. As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models, has been tremendously reignited over recent years. This study focuses on machine learning interpretability methods; more specifically, a literature review and taxonomy of these methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.
543 citations
University of Pavia1, Karolinska University Hospital2, University of Paris3, University of Düsseldorf4, Radboud University Nijmegen Medical Centre5, Tel Aviv Sourasky Medical Center6, University of Cambridge7, Dresden University of Technology8, Aarhus University Hospital9, Innsbruck Medical University10, University of Patras11, VU University Amsterdam12
TL;DR: Within the myelodysplastic syndrome (MDS) work package of the European LeukemiaNet, an Expert Panel was selected according to the framework elements of the National Institutes of Health Consensus Development Program and Guidelines were developed on the basis of a list of patient- and therapy-oriented questions.
537 citations
TL;DR: The next generation of mobile operators will be able to connect directly to the internet and provide real-time information about where and when to connect, and how to connect with others around the world.
Abstract: Related Content Customize your page view by dragging and repositioning the boxes below. Related Journal Articles
535 citations
TL;DR: In this article, the authors present test results on hybrid solar systems, consisting of photovoltaic modules and thermal collectors (hybrid PV/T systems), and show that PV cooling can increase the electrical efficiency of PV modules, increasing the total efficiency of the systems.
535 citations
Authors
Showing all 13529 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Thomas J. Meyer | 120 | 1078 | 68519 |
| Thoralf M. Sundt | 112 | 755 | 55708 |
| Chihaya Adachi | 112 | 908 | 61403 |
| Eleftherios P. Diamandis | 110 | 1064 | 52654 |
| Roland Siegwart | 105 | 1154 | 51473 |
| T. Geralis | 99 | 808 | 52221 |
| Spyros N. Pandis | 97 | 377 | 51660 |
| Michael Tsapatsis | 77 | 375 | 20051 |
| George K. Karagiannidis | 76 | 653 | 24066 |
| Eleftherios Mylonakis | 75 | 448 | 21413 |
| Matthias Mörgelin | 75 | 332 | 18711 |
| Constantinos C. Stoumpos | 75 | 194 | 27991 |
| Raymond Alexanian | 75 | 211 | 21923 |
| Mark J. Ablowitz | 74 | 374 | 27715 |
| John Lygeros | 73 | 667 | 21508 |