All Stories

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