Complexity Measures and Features for Times Series classification. Clustering based on Point-Set Kernel. StochasticRank: Global Optimization of Scale-Free Discrete Functions. ConBO: Conditional Bayesian Optimization. Applications of deep learning in stock market prediction: recent progress. Segmenting Unseen Industrial Components in a Heavy Clutter …

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images. FOCUS: Dealing with Label Quality Disparity in Federated Learning. Secure Metric Learning via Differential Pairwise Privacy. OpenGAN: Open Set Generative Adversarial Networks. Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. Bui …

Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach. Fast Generating A Large Number of Gumbel-Max Variables. NestedVAE: Isolating Common Factors via Weak Supervision. AQPDCITY Dataset: Picture-Based PM2.5 Monitoring in the Urban Area of Big Cities. Incremental Fast Subclass Discri …

PHOTON – A Python API for Rapid Machine Learning Model Development. Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. Unpaired Image-to-Image Translation using Adversarial Consistency Loss. Adaptive Name Entity Recognition under Highly Unbalanced Data. What Emotions Make One or Five Stars? Unders …

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions. Workload Prediction of Business Processes – An Approach Based on Process Mining and Recurrent Neural Networks. Dynamic Inference: A New Approach Toward Efficient Video Action Recognition …