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2020 – today
- 2021
[c19]Mairo Leier, Andri Riid, Tanel Alumäe, Uljana Reinsalu, René Pihlak
, Andres Udal, Risto Heinsar, Sven Vainküla:
Smart Elevator with Unsupervised Learning for Visitor Profiling and Personalised Destination Prediction. CogSIMA 2021: 9-16- [c18]René Pihlak, Andri Riid:
Morphological Cross Entropy Loss for Improved Semantic Segmentation of Small and Thin Objects. KES 2021: 582-591 - 2020
- [j7]Roland Lõuk, Andri Riid, René Pihlak, Aleksei Tepljakov:
Pavement Defect Segmentation in Orthoframes with a Pipeline of Three Convolutional Neural Networks. Algorithms 13(8): 198 (2020) - [c17]René Pihlak, Andri Riid:
Simultaneous Road Edge and Road Surface Markings Detection Using Convolutional Neural Networks. DB&IS 2020: 109-121 - [c16]Roland Lõuk, Aleksei Tepljakov, Andri Riid:
A Two-Stream Context-Aware ConvNet for Pavement Distress Detection. TSP 2020: 270-273
2010 – 2019
- 2019
- [c15]Aleksei Tepljakov, Andri Riid, Rene Pihlak, Kristina Vassiljeva, Eduard Petlenkov:
Deep Learning for Detection of Pavement Distress using Nonideal Photographic Images. TSP 2019: 195-200 - 2017
- [j6]Johannes Ehala, Jaanus Kaugerand, Raido Pahtma, Sergei Astapov, Andri Riid, Timo Tomson, Jürgo-Sören Preden, Leo Motus:
Situation awareness via Internet of things and in-network data processing. Int. J. Distributed Sens. Networks 13(1) (2017) - [j5]Andri Riid, Jürgo-Sören Preden:
Design of Fuzzy Rule-based Classifiers through Granulation and Consolidation. J. Artif. Intell. Soft Comput. Res. 7(2): 137 (2017) - 2015
- [j4]Jürgo-Sören Preden, Kalle Tammemäe, Axel Jantsch, Mairo Leier, Andri Riid, Emine Calis:
The Benefits of Self-Awareness and Attention in Fog and Mist Computing. Computer 48(7): 37-45 (2015) - [c14]Andri Riid, Jürgo-Sören Preden:
Interpretability improvement of fuzzy rule-based classifiers via rule compression. IFSA-EUSFLAT 2015 - [c13]Andri Riid, Jürgo-Sören Preden:
A combined method for error and complexity reduction in fuzzy rule-based classification. FUZZ-IEEE 2015: 1-6 - 2014
- [j3]Andri Riid, Ennu Rüstern:
Adaptability, interpretability and rule weights in fuzzy rule-based systems. Inf. Sci. 257: 301-312 (2014) - [c12]Sergei Astapov, Jürgo-Sören Preden, Johannes Ehala, Andri Riid:
Object detection for military surveillance using distributed multimodal smart sensors. DSP 2014: 366-371 - [c11]Andri Riid, Jürgo-Sören Preden, Sergei Astapov:
Detection, identification and tracking of mobile objects with distributed system of systems. SoSE 2014: 224-229 - 2013
- [c10]Andri Riid, Mari Sarv:
Determination of regional variants in the versification of Estonian folksongs using an interpretable fuzzy rule-based classifier. EUSFLAT Conf. 2013 - 2011
- [j2]Andri Riid, Ennu Rüstern:
Identification of transparent, compact, accurate and reliable linguistic fuzzy models. Inf. Sci. 181(20): 4378-4393 (2011) - [c9]Jürgo Preden, Leo Motus, Merik Meriste, Andri Riid:
Situation awareness for networked systems. CogSIMA 2011: 123-130 - [c8]Andri Riid, Ennu Rüstern:
Interpretability, Interpolation and Rule Weights in Linguistic Fuzzy Modeling. WILF 2011: 91-98 - 2010
- [c7]Andri Riid, Ennu Rüstern:
Interpretability improvement of fuzzy systems: Reducing the number of unique singletons in zeroth order Takagi-Sugeno systems. FUZZ-IEEE 2010: 1-6 - [c6]Andri Riid, Ennu Rüstern:
A method for heuristic fuzzy modeling in noisy environment. IEEE Conf. of Intelligent Systems 2010: 468-473
2000 – 2009
- 2008
- [c5]Andri Riid, Ennu Rüstern:
Fed-batch fermentation controller design with evolutionary computation. CSTST 2008: 371-377 - 2007
- [c4]Andri Riid, Ennu Rüstern:
Interpretability of Fuzzy Systems and Its Application to Process Control. FUZZ-IEEE 2007: 1-6 - 2005
- [j1]Andri Riid, Ennu Rüstern:
Identification of Numerically Accurate First-Order Takagi-Sugeno Systems with Interpretable Local Models from Data. J. Adv. Comput. Intell. Intell. Informatics 9(5): 526-533 (2005) - 2004
- [c3]Andri Riid, Dmitri Pahhomov, Ennu Rüstern:
Car navigation and collision avoidance system with fuzzy logic. FUZZ-IEEE 2004: 1443-1448 - [c2]Andri Riid, Ennu Rüstern:
Neuro-fuzzy extraction of interpretable fuzzy rules from data. SMC (3) 2004: 2266-2271 - 2001
- [c1]Andri Riid, Ennu Rüstern:
Fuzzy Logic in Control: Truck Backer-Upper Problem Revisited. FUZZ-IEEE 2001: 513-516
Coauthor Index
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