Institution
Turku Centre for Computer Science
Facility•Turku, Finland•
About: Turku Centre for Computer Science is a facility organization based out in Turku, Finland. It is known for research contribution in the topics: Decidability & Word (group theory). The organization has 382 authors who have published 1027 publications receiving 19560 citations.
Papers published on a yearly basis
Papers
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TL;DR: Automated inspiratory flow-shape analysis seems to be a promising tool to distinguish patient groups with different upper airway function to be treated with different treatment alternatives.
91 citations
TL;DR: A self-contained adaptive system for detecting and bypassing permanent errors in on-chip interconnects that reroutes data on erroneous links to a set of spare wires without interrupting the data flow is presented.
Abstract: We present a self-contained adaptive system for detecting and bypassing permanent errors in on-chip interconnects. The proposed system reroutes data on erroneous links to a set of spare wires without interrupting the data flow. To detect permanent errors at runtime, a novel in-line test (ILT) method using spare wires and a test pattern generator is proposed. In addition, an improved syndrome storing-based detection (SSD) method is presented and compared to the ILT method. Each detection method (ILT and SSD) is integrated individually into the noninterrupting adaptive system, and a case study is performed to compare them with Hamming and Bose-Chaudhuri-Hocquenghem (BCH) code implementations. In the presence of permanent errors, the probability of correct transmission in the proposed systems is improved by up to 140% over the standalone Hamming code. Furthermore, our methods achieve up to 38% area, 64% energy, and 61% latency improvements over the BCH implementation at comparable error performance.
90 citations
TL;DR: This paper introduces the closely related notion of a subword history and obtains a sequence of general results: elimination of products, decidability of equivalence, and normal form, and investigates overall-methods for proving the validity of such results.
90 citations
TL;DR: An extended approach to decision making with OWA operators with maximal Renyi entropy OWA weights is formulated by introducing considerations of maximizing information content in the aggregation according to a general parametric class of dispersion measures.
86 citations
Proceedings Article•
01 Jun 2013TL;DR: This work applies the machine learning based Turku Event Extraction System to the detection of drug names and statements of drug-drug interactions (DDI) from text and achieves F-scores of 60% and 59% for the drug name recognition task and DDI extraction task respectively.
Abstract: The DDIExtraction 2013 task in the SemEval conference concerns the detection of drug names and statements of drug-drug interactions (DDI) from text. Extraction of DDIs is important for providing up-to-date knowledge on adverse interactions between coadministered drugs. We apply the machine learning based Turku Event Extraction System to both tasks. We evaluate three feature sets, syntactic features derived from deep parsing, enhanced optionally with features derived from DrugBank or from both DrugBank and MetaMap. TEES achieves F-scores of 60% for the drug name recognition task and 59% for the DDI extraction task.
86 citations
Authors
Showing all 383 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| José A. Teixeira | 101 | 1414 | 47329 |
| Cunsheng Ding | 61 | 254 | 11116 |
| Jun'ichi Tsujii | 59 | 389 | 15985 |
| Arto Salomaa | 56 | 374 | 17706 |
| Tero Aittokallio | 52 | 271 | 8689 |
| Risto Lahdelma | 48 | 149 | 6637 |
| Hannu Tenhunen | 45 | 819 | 11661 |
| Mats Gyllenberg | 44 | 204 | 8029 |
| Sampo Pyysalo | 42 | 153 | 8839 |
| Olli Polo | 42 | 140 | 5303 |
| Pasi Liljeberg | 40 | 306 | 6959 |
| Tapio Salakoski | 38 | 231 | 7271 |
| Filip Ginter | 37 | 156 | 7294 |
| Robert Fullér | 37 | 152 | 5848 |
| Juha Plosila | 35 | 342 | 4917 |