All Stories

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