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351. Machine Learning in a Policy Support System for Smart Tourism Management

352. ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization

353. Fast ABC with Joint Generative Modelling and Subset Simulation

354. Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches

355. Predictable Features Elimination: An Unsupervised Approach to Feature Selection

356. Convolutional Neural Network for Classification of Aerial Survey Images in the Recognition System

357. Inference and De-noising of Non-gaussian Particle Distribution Functions: A Generative Modeling Approach

358. Action-Conditioned Frame Prediction Without Discriminator

359. Forecasting the IBEX-35 Stock Index Using Deep Learning and News Emotions

360. Predicting Worst-Case Execution Times During Multi-criterial Function Inlining

361. Effect of Geometric Complexity on Intuitive Model Selection

362. Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series

363. pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice

364. Deep Autonomous Agents Comparison for Self-driving Cars

365. ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models

366. Method for Generating Explainable Deep Learning Models in the Context of Air Traffic Management

367. A Framework for Imbalanced Time-Series Forecasting

368. A Noisy-Labels Approach to Detecting Uncompetitive Auctions

369. Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering

370. Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM

371. Mixing Consistent Deep Clustering

372. Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems

373. Optimally Weighted Ensembles for Efficient Multi-objective Optimization

374. Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents.

375. Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models

376. Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?

377. The Role of Animal Spirit in Monitoring Location Shifts with SVM:Novelties Versus Outliers

378. An Application of Machine Learning to Study Utilities Expenses in the Brazilian Navy

379. A Location-Routing Based Solution Approach for Reorganizing Postal Collection Operations in Rural Areas

380. Discovering Travelers’ Purchasing Behavior from Public Transport Data

381. A Learning-Based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers

382. Caching Suggestions Using Reinforcement Learning

383. Reinforcement Learning for Playing WrapSlide

384. Prediction of Spot Prices in Nord Pool’s Day-Ahead Market Using Machine Learning and Deep Learning

385. Image Features Anonymization for Privacy Aware Machine Learning

386. Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1

387. Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges

388. Unit Propagation by Means of Coordinate-Wise Minimization

389. Global Convergence of Sobolev Training for Overparameterized Neural Networks

390. Injective Domain Knowledge in Neural Networks for Transprecision Computing

391. The Intellectual Structure of Business Analytics: 2002–2019

392. XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks

393. Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion

394. Using Hessians as a Regularization Technique

395. A New Approach to Early Warning Systems for Small European Banks

396. Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality

397. Learning More Expressive Joint Distributions in Multimodal Variational Methods

398. On the Reliability of Dynamical Stochastic Binary Systems

399. Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules

400. Driving Subscriptions Through User Behavior Modeling and Prediction at Bloomberg Media

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