All Stories

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