Bayd, H.[Hamza]
* 2022: Automatic Scoring of Synchronization from Fingers Motion Capture and Music Beats
Baydere, S.[Sebnem]
* 2022: Segmentation Scheme for Knowledge Discovery in Human Activity Spotting, A
Baydin, A.G.[Atilim Gunes]
* 2020: Autosimulate: (quickly) Learning Synthetic Data Generation
Includes: Baydin, A.G.[Atilim Gunes] Baydin, A.G.[Atilim Günes]
Baydogan, M.G.[Mustafa Gokce]
* 2013: Bag-of-Features Framework to Classify Time Series, A
* 2018: Autoregressive forests for multivariate time series modeling
* 2019: Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties
* 2020: benefits of target relations: A comparison of multitask extensions and classifier chains, The
* 2021: ensemble-based semi-supervised feature ranking for multi-target regression problems, An
* 2021: Explainable boosted linear regression for time series forecasting
* 2021: Randomized trees for time series representation and similarity
* 2022: Semi-supervised extensions of multi-task tree ensembles
Includes: Baydogan, M.G.[Mustafa Gokce] Baydogan, M.G. Baydogan, M.G.[Mustafa Gökçe]
8 for Baydogan, M.G.
Baydoun, A.[Atallah]
* 2020: mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification
Baydoun, M.
* 2017: Modeling and classification of trajectories based on a Gaussian process decomposition into discrete components
* 2017: Task-dependent saliency estimation from trajectories of agents in video sequences
* 2018: Hierarchy of GANs for Learning Embodied Self-Awareness Model
* 2018: Unsupervised Trajectory Modeling Based on Discrete Descriptors for Classifying Moving Objects in Video Sequences
* 2020: Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders
* 2020: Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions
* 2021: Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models
* 2022: Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents
Includes: Baydoun, M. Baydoun, M.[Mohamad]
8 for Baydoun, M.