Table of Contents

• Sample Efficiency in Deep Reinforcement Learning based Recommender Systems with Imitation LearningMohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far. [doi]
• A Hoeffding Decision Tree Based Approach for Soil ClassificationDakota Soares, M. Ali Akber Dewan, Fuhua Lin. [doi]
• Evaluating Explanation Correctness in Legal Decision MakingChu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu. [doi]
• A Modularized Framework for Explaining Black Box Classifiers for Text DataMahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin. [doi]
• On the Influence of Annotation Quality in Suicidal Risk Assessment from TextFanny Rancourt, Diego Maupomé, Marie-Jean Meurs. [doi]
• A working model for textual Membership Query SynthesisFrédéric Piedboeuf, Philippe Langlais. [doi]
• Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog SystemsMarc Queudot, Louis Marceau, Raouf Moncef Belbahar, Eric Charton, Marie-Jean Meurs. [doi]
• Classification of Moving Objects Under the Spatial-Spatiotemporal Taxonomy of DescriptorYashar Tavakoli. [doi]
• Deep Learning of Latent Edge Types from Relational DataKiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, Parmis Nadaf. [doi]
• Using Change Detection to Adapt to Dynamically Changing TrusteesElham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles. [doi]
• Prediction of Host-Pathogen RNA Interaction From RNA Sequences and Dual RNA-seq Data using Variational Autoencoders and Supervised Machine Learning MethodsNima Barani Lonbani. [doi]
• Contextual bandit optimization of super-resolution microscopyAnthony Bilodeau, Renaud Bernatchez, Albert Michaud-Gagnon, Flavie Lavoie-Cardinal, Audrey Durand. [doi]
• Computational Models of Linguistic Alignment for Clustering Group Participants and Predicting Task OutcomesDuncan Clelland, Gabriel Murray. [doi]
• Stacked Bidirectional LSTM for Predicting Emission of Nitrous OxideCi Lin, Tet Hin Yeap, Iluju Kiringa. [doi]
• A Clustering-based Approach for Predicting the Future Location of a VesselMd. Mahbub Alam, Luís Torgo. [doi]
• NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social NetworksAli Abbasi Tadi, Luis Rueda, Dima Alhadidi. [doi]
• DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks DetectionSalma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag, Paula Branco. [doi]
• Contextual Query Expansion for Conducting Technology-Assisted Biomedical ReviewsAyesha Khader, Hamid Sajjadi, Faezeh Ensan. [doi]
• Heterogeneous Patient Graph Embedding in Readmission PredictionReza Samavi, Hirad Daneshvar. [doi]
• Detecting Flashover in a Room Fire based on the Sequence of Thermal Infrared Images using Convolutional Neural NetworksMohammad Hamed Mozaffari, Yuchuan Li, Yoon Ko. [doi]
• Complexity Analysis of Green Pickup-and-Delivery Problems on Ring StructuresXing Tan 0002, Jimmy X. Huang, Kai Huang. [doi]
• Automatic Detection of Behaviours of Risk in People with Dementia using Unsupervised Deep LearningPratik K. Mishra. [doi]
• Cache-Efficient Memory Representation of Markov Decision ProcessesJaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov. [doi]
• Bridging Reality Gap Between Virtual and Physical Robot through Domain Randomization and Induced NoiseMahesh Ranaweera, Qusay H. Mahmoud. [doi]
• On identifying significant edges for structure learning in Bayesian networksZhenyu Liao, Junyao Duan, Peter van Beek. [doi]
• Using Machine Learning Algorithms to Predict the Effects of Substituents on Molecular Properties and StructuresShane Leonard. [doi]
• An empirical study of scoring functions for learning Bayesian networks in model averagingZhenyu A. Liao, Charupriya Sharma, Dongshu Luo, Peter van Beek. [doi]
• AI Transparency in a Real-World Context: What we can learn from past examples of algorithmic and statistical decision-makingMargaret H. McKay. [doi]
• Forecasting and Understanding the 2021 Canadian Federal Election Using Twitter ConversationsShainen M. Davidson, Vaibhav Kesarwani, Kenton White. [doi]
• Deep Convolutional Neural Network for Molecular EnergyPredictionOmid Tarkhaneh. [doi]
• Binary Classification with Minimum ObservationsShamir Khandaker, Aminul Islam 0001. [doi]
• Preictal-Interictal Classification for Seizure PredictionZakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan. [doi]
• Learning NAT-Modeled Bayesian Network Structures with Bayesian ApproachYang Xiang, WanRong Sun. [doi]
• Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain KnowledgeMohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi. [doi]
• Artificial intelligence, human oversight, and public policies: facial recognition systems in Brazilian citiesRodrigo Brandao. [doi]
• Balancing Information with Observation Costs in Deep Reinforcement LearningColin Bellinger, Andriy Drozdyuk, Mark Crowley 0001, Isaac Tamblyn. [doi]
• An empirical study on probabilistic forecasting for predicting city-wide electricity consumptionSyed Rafayal, Mucahit Cevik, Derya Kici. [doi]
• Adaptive Confidence CalibrationDavid Meger, Jonathan Pearce. [doi]
• Quantifying French Document ComplexityVincent Primpied, David Beauchemin, Richard Khoury. [doi]
• Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port ClassificationDogan Altan, Mohammad Etemad, Dusica Marijan, Tetyana Kholodna. [doi]
• Group and Exclusive Sparse Regularization-based Continual Learning of CNNsBasile Tousside, Janis Mohr, Jörg Frochte. [doi]
• Low Level Source Code Vulnerability Detection Using Advanced BERT Language ModelMansour Alqarni, Akramul Azim. [doi]
• Voice Cloning Applied to Voice Disorders: a Study of Extreme Phonetic Content in Speaker EmbeddingsLily Wadoux, Nelly Barbot, Jonathan Chevelu, Damien Lolive. [doi]
• Efficiency of Algorithmic Policing Tools: a nod to C.N. ParkinsonMargaret H. McKay, Rene Richard. [doi]
• Software requirement specific entity extraction using transformer modelsGarima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar. [doi]
• Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCABenyamin Ghojogh, Ali Ghodsi 0001, Fakhri Karray, Mark Crowley 0001. [doi]
• "FIJO": a French Insurance Soft Skill Detection DatasetDavid Beauchemin, Julien Laumonier, Yvan Le Ster, Marouane Yassine. [doi]
• Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face RecognitionVahid Reza Khazaie, Nicky Bayat, Yalda Mohsenzadeh. [doi]