• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 74 matches

• 2021
• 
  Mohammad Shahbakhti, Ana Santos Rodrigues, Piotr Augustyniak, Anna Broniec-Wójcik, Andrius Solosenko, Matin Beiramvand, Vaidotas Marozas:
  SWT-kurtosis based algorithm for elimination of electrical shift and linear trend from EEG signals. Biomed. Signal Process. Control. 65: 102373 (2021)
• 
  István Fekete, Gerd Hentschel:
  Investigating Non-Linear Trends in Questionnaire Studies Using Contrastive Bipolar Scales. J. Quant. Linguistics 28(1): 20-38 (2021)
• 
  O. Arda Vanli, Nour Alawad:
  Space-time surveillance of count data subject to linear trends. Qual. Reliab. Eng. Int. 37(1): 145-164 (2021)
• 2020
• 
  Felipe Calliari, Gustavo C. do Amaral, Michael Lunglmayr:
  FPGA-embedded Linearized Bregman Iteration algorithm for trend break detection. EURASIP J. Wirel. Commun. Netw. 2020(1): 210 (2020)
• 
  Alexandre Giry, Ayssar Serhan, D. Parat, Pascal Reynier:
  Linear Power Amplifiers for Sub-6GHz Mobile Applications : Progress and Trends. NEWCAS 2020: 226-229
• 
  Horia Mania, Suvrit Sra:
  Why do classifier accuracies show linear trends under distribution shift? CoRR abs/2012.15483 (2020)
• 2019
• 
  Peter W. Glynn, Zeyu Zheng:
  Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. WSC 2019: 3764-3773
• 
  Thomas Ehrhard, Maribel Fernández, Valeria de Paiva, Lorenzo Tortora de Falco:
  Proceedings Joint International Workshop on Linearity & Trends in Linear Logic and Applications, Linearity-TLLA@FLoC 2018, Oxford, UK, 7-8 July 2018. EPTCS 292, 2019 [contents]
• 
  Nhat Ho, Tianyi Lin, Michael I. Jordan:
  Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and 𝓁₁-Convex Clustering. CoRR abs/1904.07462 (2019)
• 2018
• 
  Zaheen Khan, Javid Shabbir, Sat Gupta:
  Circular versions of systematic sampling in the presence of linear trend. Commun. Stat. Simul. Comput. 47(7): 1899-1921 (2018)
• 
  Helmut Herwartz, Yabibal M. Walle:
  A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility. Comput. Stat. 33(1): 379-411 (2018)
• 
  Martina Fischetti, David Pisinger:
  Mixed Integer Linear Programming for new trends in wind farm cable routing. Electron. Notes Discret. Math. 64: 115-124 (2018)
• 
  Laurent Hardouin, Bertrand Cottenceau, Ying Shang, Jörg Raisch:
  Control and State Estimation for Max-Plus Linear Systems. Found. Trends Syst. Control. 6(1): 1-116 (2018)
• 
  Jiazhi Xia, Le Gao, Kezhi Kong, Ying Zhao, Yi Chen, Xiaoyan Kui, Yixiong Liang:
  Exploring linear projections for revealing clusters, outliers, and trends in subsets of multi-dimensional datasets. J. Vis. Lang. Comput. 48: 52-60 (2018)
• 
  Christin Abel, Martin Brandt, Torbern Tagesson, Rasmus Fensholt:
  Improved Characterization of Dryland Degradation Using Trends in Vegetation/ Rainfall Sequential Linear Regression (Sergs-Trend). IGARSS 2018: 2988-2991
• 2017
• 
  Lock Siew Han, Mohd Jan Nordin:
  Integrated Multiple Linear Regression-One Rule Classification Model for the Prediction of Stock Price Trend. J. Comput. Sci. 13(9): 422-429 (2017)
• 
  Adrián Yuchechen, Susan Gabriela Lakkis, Pablo Canziani:
  Linear and Non-Linear Trends for Seasonal NO₂ and SO₂ Concentrations in the Southern Hemisphere (2004-2016). Remote. Sens. 9(9): 891 (2017)
• 
  Tobias Landmann, Olena Dubovyk, Gohar Ghazaryan, Jackson Kimani, Elfatih M. Abdel-Rahman:
  Wide-area mapping of invasive species propagation and containment zones in somaliland using phenometric trends and generalized linear modelling. IGARSS 2017: 1103-1106
• 2016
• 
  Mahdi Pakdaman Naeini, Gregory F. Cooper:
  Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. SDM 2016: 261-269
• 2015
• 
  Valentin D. Konakov, Anna R. Markova:
  Linear trend exclusion for models defined with stochastic differential and difference equations. Autom. Remote. Control. 76(10): 1771-1783 (2015)
• 
  Franco Blanchini, Patrizio Colaneri, Maria Elena Valcher:
  Switched Positive Linear Systems. Found. Trends Syst. Control. 2(2): 101-273 (2015)
• 
  Paolo Bolzern, Patrizio Colaneri:
  Positive Markov Jump Linear Systems. Found. Trends Syst. Control. 2(3-4): 275-427 (2015)
• 2014
• 
  Min Gan, Yu Cheng, Kai Liu, Gang-lin Zhang:
  Seasonal and trend time series forecasting based on a quasi-linear autoregressive model. Appl. Soft Comput. 24: 13-18 (2014)
• 
  David P. Woodruff:
  Sketching as a Tool for Numerical Linear Algebra. Found. Trends Theor. Comput. Sci. 10(1-2): 1-157 (2014)
• 
  Chengfeng Wu, Qiuhong Zhao:
  Supplier-retailer inventory coordination with credit term for inventory-dependent and linear-trend demand. Int. Trans. Oper. Res. 21(5): 797-818 (2014)
• 
  Umer Khayam, Durre Nayab, Gul Muhammad Khan, Sahibzada Ali Mahmud:
  Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming. AIAI 2014: 414-423
• 
  Wenchao Lao, Ying Wang, Chen Peng, Chengxu Ye, Yunong Zhang:
  Time series forecasting via weighted combination of trend and seasonality respectively with linearly declining increments and multiple sine functions. IJCNN 2014: 832-837
• 2013
• 
  Asim Dilawer Bakhshi, Sajid Bashir, Syed Ismail Shah, Mohammad Ali Maud:
  Non-linear trend estimation of cardiac repolarization using wavelet thresholding for improved T-wave alternans analysis. Digit. Signal Process. 23(4): 1197-1208 (2013)
• 
  Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How:
  A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. Found. Trends Mach. Learn. 6(4): 375-451 (2013)
• 
  Pramod Abichandani, Hande Y. Benson, Moshe Kam:
  Mathematical Programming Approaches for Multi-Vehicle Motion Planning: Linear, Nonlinear, and Mixed Integer Programming. Found. Trends Robotics 2(4): 261-338 (2013)

skipping 44 more matches