All Stories

  1. Fractional Zak transform: Theory and applications
  2. FinMR: A Knowledge-Intensive Multimodal Benchmark for Advanced Financial Reasoning
  3. Methodologies Incorporating Cepstral Nulling for Time Series Cepstral Dissimilarity Evaluation
  4. Novel indicators for monitoring bearing condition using frequency-domain dictionary learning
  5. Automatic method for identification of cycles in Covid-19 time-series data
  6. Several Approaches for the Prediction of the Operating Modes of a Wind Turbine
  7. On the Application of the Stability Methods to Time Series Data
  8. On the selection of predictors by using greedy algorithms and information theoretic criteria
  9. Multivariate Time Series Imputation: An Approach Based on Dictionary Learning
  10. Dictionary learning for signals in additive noise with generalized Gaussian distribution
  11. On the Use of Dictionary Learning in Time Series Imputation
  12. Identification of Vector Autoregressive Models with Granger and Stability Constraints
  13. Adaptive-Size Dictionary Learning Using Information Theoretic Criteria
  14. The matching pursuit algorithm revisited: A variant for big data and new stopping rules
  15. Automated data scanning for dense networks of low-cost air quality instruments: Detection and differentiation of instrumental error and local to regional scale environmental abnormalities
  16. Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series
  17. On the number of iterations for the matching pursuit algorithm
  18. Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms
  19. Renormalized maximum likelihood for multivariate autoregressive models
  20. Performance analysis for a chaos-based code-division multiple access system in wide-band channel
  21. New insights on AR order selection with information theoretic criteria based on localized estimators
  22. Application of optimally distinguishable distributions to the detection of subspace signals in Gaussian noise of unknown level
  23. Analysis of an information theoretic criterion for cepstral nulling
  24. On the Use of Stochastic Complexity in Spectral Analysis of Radial Velocity Data
  25. On the performance of histogram-based entropy estimators
  26. Construction of irregular histograms by penalized maximum likelihood: A comparative study
  27. Variable selection in linear regression: Several approaches based on normalized maximum likelihood
  28. A Novel Method for Improving Fairness over Multiaccess Channels
  29. On the use of Kolmogorov structure function for periodogram smoothing
  30. AR order selection in the case when the model parameters are estimated by forgetting factor least-squares algorithms
  31. A decision support framework for the discrimination of children with controlled epilepsy based on EEG analysis
  32. Assessment of Linear and Nonlinear Synchronization Measures for Analyzing EEG in a Mild Epileptic Paradigm
  33. Optimally Distinguishable Distributions: a New Approach to Composite Hypothesis Testing With Applications to the Classical Linear Model
  34. Composite hypothesis testing by optimally distinguishable distributions
  35. Stochastic Complexity for the Detection of Periodically Expressed Genes
  36. Stochastic Complexity for the Estimation of Sine-Waves in Colored Noise
  37. An Application of the Piecewise Autoregressive Model in Lossless Audio Coding
  38. Estimation of AR and ARMA models by stochastic complexity
  39. Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting
  40. Efficient algorithms for discrete universal denoising for channels with memory
  41. Fast Iterative Gene Clustering Based on Information Theoretic Criteria for Selecting the Cluster Structure
  42. Fast Iterative Gene Clustering Based on Information Theoretic Criteria for Selecting the Cluster Structure
  43. On some properties of the NML estimator for Bernoulli strings
  44. Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis
  45. Context-based lossless image compression with optimal codes for discretized Laplacian distributions
  46. Stability-based cluster analysis applied to microarray data
  47. Using contexts and R–R interval estimation in lossless ECG compression
  48. Adaptive context-based sequential prediction for lossless audio compression
  49. Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle
  50. Genetic networks inferred from time series of gene expression data
  51. Low-complexity transform coding with integer-to-integer transforms