All Stories

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