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IEEE Micro, ISSN 0272-1732, 07/2018, Volume 38, Issue 4, pp. 60 - 70
Improving the performance of applications is a core target of computer systems research and has led to the creation of various techniques. Among them is... 
Microsoft Windows | Runtime | Electric breakdown | temporal locality | performance | Computational modeling | Approximate computing | Benchmark testing | Distortion | energy | hardware | approximate computing | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | Microprocessors | Computer programming
Journal Article
by Jiang, Yuxiang and Oron, Tal Ronnen and Clark, Wyatt T and Bankapur, Asma R and Anea, D', Daniel and Lepore, Rosalba and Funk, Christopher S and Kahanda, Indika and Verspoor, Karin M and Ben-Hur, Asa and Koo, Da Chen Emily and Penfold-Brown, Duncan and Shasha, Dennis and Youngs, Noah and Bonneau, Richard and Lin, Alexana and Sahraeian, Sayed M.E and Martelli, Pier Luigi and ti, Giuseppe and Casadio, Rita and Cao, Renzhi and Zhong, Zhaolong and Cheng, Jianlin and Altenhoff, Aian and Skunca, Nives and Dessimoz, Christophe and Dogan, Tunca and Hakala, Kai and Kaewphan, Suwisa and Mehryary, Farrokh and Salakoski, Tapio and Ginter, Filip and Fang, Hai and Smithers, Ben and Oates, Matt and Gough, Julian and Törönen, Petri and Koskinen, Patrik and Holm, Liisa and Chen, Ching Tai and Hsu, Wen Lian and Bryson, Kevin and Cozzetto, Domenico and Minneci, Federico and Jones, David T and Chapman, Samuel and BKC, Dukka and Khan, Ishita K and Kihara, Daisuke and Ofer, Dan and Rappoport, Nadav and Stern, Amos and Cibrian-Uhalte, Elena and Denny, Paul and Foulger, Rebecca E and Hieta, Reija and Legge, Duncan and Lovering, Ruth C and Magrane, Michele and Melidoni, Anna N and Mutowo-Meullenet, Prudence and Pichler, Klemens and Shypitsyna, Aleksana and Li, Biao and Zakeri, Pooya and ElShal, Sarah and Tranchevent, Léon Charles and Das, Sayoni and Dawson, Natalie L and Lee, David and Lees, Jonathan G and Sillitoe, Ian and Bhat, Prajwal and Nepusz, Tamás and Romero, Alfonso E and Sasidharan, Rajkumar and Yang, Haixuan and Paccanaro, Alberto and Gillis, Jesse and Sedeño-Cortés, Aiana E and Pavlidis, Paul and Feng, Shou and Cejuela, Juan M and Goldberg, Tatyana and Hamp, Tobias and Richter, Lothar and Salamov, Asaf and Gabaldon, Toni and Marcet-Houben, Marina and Supek, Fran and Gong, Qingtian and Ning, Wei and Zhou, Yuanpeng and Tian, Weidong and Falda, Marco and Fontana, Paolo and Lavezzo, Enrico and Toppo, Stefano and Ferrari, Carlo and Giollo, Manuel and ...
Genome Biology, ISSN 1474-7596, 2016, Volume 17, Issue 1, p. 184
Journal Article
Journal Article
BMC BIOINFORMATICS, ISSN 1471-2105, 09/2019, Volume 20, Issue 1, p. 485
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 07/2019, Volume 30, Issue 7, pp. 2067 - 2078
Journal Article
Journal of Chemical Information and Modeling, ISSN 1549-9596, 03/2015, Volume 55, Issue 3, pp. 475 - 482
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 10/2015, Volume 63, Issue 20, pp. 5464 - 5478
A method for authorship attribution based on function word adjacency networks (WANs) is introduced. Function words are parts of speech that express grammatical... 
Wide area networks | word adjacency network | Markov chain | Silver | Accuracy | relative entropy | Markov processes | Benchmark testing | Speech | Authorship attribution | Entropy | PERSPECTIVE | RICHNESS | STYLE | TEXT | ENGINEERING, ELECTRICAL & ELECTRONIC | Research | Analysis | Entropy (Physics) | Grammar | Markov analysis
Journal Article
Evolutionary Computation, ISSN 1530-9304, 03/2006, Volume 14, Issue 1, pp. 119 - 126
Abstract The Rosenbrock function is a well-known benchmark for numerical optimization problems, which is frequently used to assess the performance of... 
Short Letter | Local minimum | Benchmark function | Multimodal function | Numerical optimization problems
Journal Article
Bioinformatics (Oxford, England), ISSN 1367-4803, 01/2020, Volume 36, Issue 1, pp. 112 - 121
Protein complexes play critical roles in many aspects of biological functions. Three-dimensional (3D) structures of protein complexes are critical for gaining... 
DESOLVATION | CAPRI | COMPLEXES | BIOCHEMICAL RESEARCH METHODS | POTENTIALS | PRINCIPLES | PREDICTION | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BENCHMARK | MATHEMATICAL & COMPUTATIONAL BIOLOGY | INTERFACES | ELECTROSTATICS | WEB SERVER | Original Papers
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 09/2019, Volume 20, Issue 1, pp. 1 - 32
The experiments have showed that protein function prediction is a very challenging task which should be further investigated. We believe that the baseline... 
Analysis | Algorithms | Machine learning | Hierarchical multi-label classification | Benchmark datasets | Protein function prediction
Journal Article
EVOLUTIONARY COMPUTATION, ISSN 1063-6560, 2006, Volume 14, Issue 1, pp. 119 - 126
The Rosenbrock function is a well-known benchmark for numerical optimization problems, which is frequently used to assess the performance of Evolutionary... 
local minimum | numerical optimization problems | benchmark function | multimodal function | OPTIMIZATION | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Biological Evolution | Genetics, Population | Models, Genetic | Algorithms | Computer Simulation | Sensitivity and Specificity
Journal Article
Journal of Synchrotron Radiation, ISSN 1600-5775, 11/2018, Volume 25, Issue 6, pp. 1627 - 1633
A dedicated apparatus has been developed for studying structural changes in amorphous and disordered crystalline materials substantially in real time. The... 
crystallization | pair distribution functions | beamlines | disordered materials | time‐resolved measurements | Benchmarks | Annealing | Distribution (Probability theory) | Flat panel displays | Analysis | Amorphous materials | Data acquisition | Silicon dioxide | Crystallization | Function analysis | Distribution functions
Journal Article
Proteins: Structure, Function, and Bioinformatics, ISSN 0887-3585, 05/2003, Volume 51, Issue 3, pp. 397 - 408
Journal Article
Electronics Letters, ISSN 0013-5194, 11/2018, Volume 54, Issue 24, pp. 1377 - 1379
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 07/2019, Volume 30, Issue 7, pp. 2093 - 2107
Journal Article
Journal of Chemical Physics, ISSN 0021-9606, 08/2012, Volume 137, Issue 6, p. 064110
Journal Article
Bioinformatics, ISSN 1367-4803, 11/2006, Volume 22, Issue 22, pp. 2715 - 2721
Journal Article