Toward adversarial robustness by diversity in an ensemble of specialized deep neural networks
Locating influential agents in social networks : budget-constrained seed set selection
Investigating relational recurrent neural networks with variable length memory pointer
Unsupervised monocular depth estimation NN robust to training data diversity
The K-closest resemblance classifier for remote sensing data
Reinforcement learning in a physics-inspired semi-Markov environment
Deep multi agent reinforcement learning for autonomous driving
Incremental sequential rule mining with streaming input traces
FASTT : team formation using fair division
Empirical confidence models for supervised machine learning
Selection driven query focused abstractive document summarization
VecHGrad for solving accurately tensor decomposition
Sensitivity to risk prpofiles of users when developing AI systems
Forecasting seat counts in the 2019 Canadian Federal Election using Twitter
Adapting ensemble neural networks to clinical prediction in high-dimensional settings
A cost skew aware predictive system for chest drain management
Topological data analysis for arrhythmia detection through modular neural networks
Big players : emotion in Twitter communities tweeting about global warming
Using topic modelling to improve prediction of financial report commentary classes
Wise sliding window segmentation : a classification-aided approach for trajectory segmentation
Using deep reinforcement learning methods for autonomous vessels in 2D environments
CB-DBSCAN : a novel clustering algorithm for adjacent clusters with different densities
Anoaly detection and prototype selection using polyhedron curvature
Ethical requirements for AI systems
A deep neural network for counting vessels in sonar signals
Partial label learning by entropy minimization

Low-dimensional dynamics of encoding and learning in recurrent neural networks
From explicit to implicit entity linking : a learn to rank framework
Automatic polyp segmentation using convolutional neural networks
Augmented out-of-sample comparison method for time series forecasting techniques
Predicting the number of reported bugs in a software repository
Evaluation of a failure prediction model for large scale cloud applications
Customer segmentation and churn prediction in online retail
Detection and diagnosis of breast cancer using a Bayesian approach
Query focused abstractive summarization via incorporating query relevance and transfer learning with transformer models
Word representation, seed lexicons, mapping procedures, and reference lists : what matters in bilingual lexicon induction from comparable corpora?
Attending knowledge facts with BERT-like models in question-answering : disappointing results and some explanations
Machine learning the donor journey
Exploring deep anomaly detection methods based on capsule net
Question-worthy sentence selection for question generation
Challenges in vessel behavior and anomaly detection : from classical machine learning to deep learning
An energy-efficient method with dynamic GPS sampling rate for transport mode detection and trip reconstruction
Similarity matching of temporal event-interval sequences
Classification of rare recipes requires linguistic features as special ingredients
Happiness analysis with Fisher information of DIrichlet-multinomial mixture model
Personalized multi-faceted trust modeling in social networks
Mixing ICI and CSI models for more efficient probabilistic inference
RideSafe : detecthing sexual harassment in rideshares
Amalgamated models for detecting duplicate bug reports

Investigating citation linkage as a sentence similarity measurement task using deep learning
Improving classification using topic correlation and expectation propagation
A scheme for generating a dataset for anomalous activity detection in IoT networks
Lexical data augmentation for text classification in deep learning
A deeper look at Bongard problems
Adversarial models for deterministic finite automata
Personalized student attribute inference
Vehicle traffic estimation using weather and calendar data
Predicting aggressive responsive behaviour among people with dementia
Towards analyzing the sentiments in the fields of automobiles and real-estates with specific focus on Arabic online reviews.