All Stories

  1. A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signals
  2. A noise-robust acoustic method for recognizing foraging activities of grazing cattle
  3. Livestock feeding behaviour: A review on automated systems for ruminant monitoring
  4. Improved ERD Detection of EEG Sensorimotor Rhythms Through Wavelet Transform
  5. Daylong acoustic recordings of grazing and rumination activities in dairy cows
  6. City-scale model for COVID-19 epidemiology with mobility and social activities represented by a set of hidden Markov models
  7. A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle
  8. Using segment-based features of jaw movements to recognise foraging activities in grazing cattle
  9. Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks
  10. Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition
  11. Extreme Learning Machine Design for Dealing with Unrepresentative Features
  12. A multi-class structured dictionary learning method using discriminant atom selection
  13. Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
  14. Discriminative power of acoustic features for jaw movement classification in cattle and sheep
  15. A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI
  16. Measuring Complexity of Biomedical Signals
  17. Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events
  18. A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle
  19. Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals
  20. Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders
  21. A pattern recognition approach for detecting and classifying jaw movements in grazing cattle
  22. Detection of the Glottal Closure Instants Using Empirical Mode Decomposition
  23. Post-training discriminative pruning for RBMs
  24. Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals
  25. Coherent averaging estimation autoencoders applied to evoked potentials processing
  26. Generalized sparse discriminant analysis for event-related potential classification
  27. Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review
  28. Discriminative methods based on sparse representations of pulse oximetry signals for sleep apnea–hypopnea detection
  29. Open access database of EEG signals recorded during imagined speech
  30. Feature optimisation for stress recognition in speech
  31. A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle
  32. Genetic wavelets
  33. Feature extraction based on bio-inspired model for robust emotion recognition
  34. Online Bengali handwritten numerals recognition using Deep Autoencoders
  35. Denoising sound signals in a bioinspired non-negative spectro-temporal domain
  36. Wavelet Packet and Matched Filter Inspired QRS Detector
  37. Local Discriminant Wavelet Packet Basis for Signal Classification in Brain Computer Interface
  38. Development of a Library for Sound Classification Using Spiking Neural Network
  39. Multimodal Emotion Recognition Using Deep Networks
  40. Genetic Feature Selection for a P300 Brain Computer Interface
  41. Most Discriminative Atom Selection for Apnea-hypopnea Events Detection
  42. Deep Learning for Emotional Speech Recognition
  43. Spoken Emotion Recognition Using Deep Learning
  44. Genetic wavelet packets for speech recognition
  45. Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices
  46. Efecto de la Cantidad y Dimensión de los Patrones en una Interfaz Cerebro Computadora Basada en Discriminante Lineal de Fisher
  47. Bioinspired sparse spectro-temporal representation of speech for robust classification
  48. Automatic recognition of ingestive sounds of cattle based on hidden Markov models
  49. Evaluation of LDA Ensembles Classifiers for Brain Computer Interface
  50. On the use of LDA performance as a metric of feature extraction methods for a P300 BCI classification task
  51. Feature Extraction on Brain Computer Interfaces using Discrete Dyadic Wavelet Transform: Preliminary Results
  52. Spoken emotion recognition using hierarchical classifiers
  53. Evolutionary cepstral coefficients
  54. Determination of an optimal training strategy for a BCI classification task with LDA
  55. Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification
  56. Dynamic speech parameterization for text-independent phone segmentation
  57. Genetic feature selection to optimally detect P300 in brain computer interfaces
  58. Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition
  59. Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition
  60. EMD OF GAUSSIAN WHITE NOISE: EFFECTS OF SIGNAL LENGTH AND SIFTING NUMBER ON THE STATISTICAL PROPERTIES OF INTRINSIC MODE FUNCTIONS
  61. Dimensionality reduction for visualization of normal and pathological speech data
  62. Computational method for segmentation and classification of ingestive sounds in sheep
  63. Empirical mode decomposition. Spectral properties in normal and pathological voices
  64. Voice Fundamental Frequency Extraction Algorithm Based on Ensemble Empirical Mode Decomposition and Entropies
  65. Perceptual evaluation of blind source separation for robust speech recognition
  66. Multiresolution analysis applied to text-independent phone segmentation
  67. Multiresolution information measures applied to speech recognition
  68. Objective quality evaluation in blind source separation for speech recognition in a real room
  69. Statistical method for sparse coding of speech including a linear predictive model
  70. Self-organizing map clustering based on continuous multiresolution entropy
  71. Introducing complexity measures in nonlinear physiological signals: application to robust speech recognition
  72. String kernels are applied to automatic speech recognition.
  73. Method of wavelet selection in phone recognition
  74. Auditory Cortical Representations of Speech Signals for Phoneme Classification
  75. Evolutionary algorithm for speech segmentation
  76. Improving the classification accuracy of cardiac patients
  77. Preserving acoustic cues in speech denoising
  78. A method of wavelet selection in phoneme recognition
  79. Automatic speaker identification by means of Mel cepstrum, wavelets and wavelet packets
  80. Acoustic analysis of speech for detection of laryngeal pathologies
  81. Study of complexity in normal and pathological speech signals
  82. A comparison of string kernels and discrete hidden Markov models on a Spanish digit recognition task
  83. Self-organizing neural tree networks