Thread by @stephenwithavee

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

SchemaDB: Structures in Relational Datasets

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Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance

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Back to Reality for Imitation Learning

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Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series

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Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism

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Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training

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Generalizing Clinical Trials with Convex Hulls

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A Taxonomy of Anomalies in Log Data

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Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features

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Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements

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On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments

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Sparse is Enough in Scaling Transformers

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Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator

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ReAct: Out-of-distribution Detection With Rectified Activations

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Fragment-based molecular generative model with high generalization ability and synthetic accessibility

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Demystifying Graph Neural Network Explanations

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Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI)

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Randomized Stochastic Gradient Descent Ascent

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Federated Data Science to Break Down Silos [Vision]

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Unsupervised Feature Ranking via Attribute Networks

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KNAS: Green Neural Architecture Search

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A multitask transfer learning framework for the prediction of virus-human protein-protein interactions

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TRIP: Refining Image-to-Image Translation via Rival Preferences

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A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator

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SARS-CoV-2 Dissemination using a Network of the United States Counties

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BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning

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ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks

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A Quantum-like Model for Predicting Human Decisions in the Entangled Social Systems

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Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow

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Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

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Answer Generation for Questions With Multiple Information Sources in E-Commerce

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Being Patient and Persistent: Optimizing An Early Stopping Strategy for Deep Learning in Profiled Attacks

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A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration

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Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests

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Factorized Fourier Neural Operators

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Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection

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A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation

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Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development

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Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets

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Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices

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On Predicting Generalization using GANs

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Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning

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TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting

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Naive Automated Machine Learning

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Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning

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BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram

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An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic

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Multi-objective Explanations of GNN Predictions

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Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

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Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?

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Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments

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Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

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Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks

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Generating Rich Product Descriptions for Conversational E-commerce Systems

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Material Classification Using Active Temperature Controllable Robotic Gripper

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Citation network applications in a scientific co-authorship recommender system

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New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model

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What Do You See in this Patient? Behavioral Testing of Clinical NLP Models

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Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices

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Fine-grained prediction of food insecurity using news streams

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Synthetic weather radar using hybrid quantum-classical machine learning

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DiPD: Disruptive event Prediction Dataset from Twitter

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Nonparametric Topological Layers in Neural Networks

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Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

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Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design

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Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks

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Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes

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Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network

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MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels

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Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images

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Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs

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NeuralProphet: Explainable Forecasting at Scale

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Neuron with Steady Response Leads to Better Generalization

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Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers

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AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

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DeepAL: Deep Active Learning in Python

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gCastle: A Python Toolbox for Causal Discovery

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Molecular Attributes Transfer from Non-Parallel Data

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Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs

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A novel data-driven algorithm to predict anomalous prescription based on patient's feature set

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The Geometric Occam's Razor Implicit in Deep Learning

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What to Learn, and How: Toward Effective Learning from Rationales

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DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks

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DPRK-BERT: The Supreme Language Model

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Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis

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Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model

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Black box tests for algorithmic stability

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The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist

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Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans

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Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes

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Meta Arcade: A Configurable Environment Suite for Meta-Learning

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Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark

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Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts

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VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees

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A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea

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Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search

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A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021

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CovidAlert -- A Wristwatch-based System to Alert Users from Face Touching

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Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning

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The MAIEI Learning Community Report

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Multi-Object Grasping -- Estimating the Number of Objects in a Robotic Grasp

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Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation

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Predicting Student's Performance Through Data Mining

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Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes

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Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs

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Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking

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FNR: A Similarity and Transformer-Based Approachto Detect Multi-Modal FakeNews in Social Media

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A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes

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TinyML Platforms Benchmarking

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Machine Learning for Air Transport Planning and Management

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Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks

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Who will dropout from university? Academic risk prediction based on interpretable machine learning

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ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton

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Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems

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Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks

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Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems

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Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML and PDF Documents: Improving Data Access and Visualization for Veterinarians

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Personalized Federated Learning of Driver Prediction Models for Autonomous Driving

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Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models

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A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection

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Toward an Idiomatic Framework for Cognitive Robotics

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Unbiased Pairwise Learning to Rank in Recommender Systems

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Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks

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Learning from learning machines: a new generation of AI technology to meet the needs of science

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OmiTrans: generative adversarial networks based omics-to-omics translation framework

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Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature

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Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence

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Enforcing and Discovering Structure in Machine Learning

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Ontology-Based Skill Description Learning for Flexible Production Systems

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Observing Interventions: A logic for thinking about experiments

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Predicting Document Coverage for Relation Extraction

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Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

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SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation

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Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology

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Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat

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A Practical Tutorial on Explainable AI Techniques

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Long-range and hierarchical language predictions in brains and algorithms

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Agility in Software 2.0 -- Notebook Interfaces and MLOps with Buttresses and Rebars

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Learning Physical Concepts in Cyber-Physical Systems: A Case Study

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Normative Disagreement as a Challenge for Cooperative AI

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Adversarial Attacks in Cooperative AI

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Mesarovician Abstract Learning Systems

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Machine Learning for Real-Time, Automatic, and Early Diagnosis of Parkinson's Disease by Extracting Signs of Micrographia from Handwriting Images

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Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions

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Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture

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The Computational Drug Repositioning without Negative Sampling

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Machine Unlearning: Learning, Polluting, and Unlearning for Spam Email

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MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph

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How Can Creativity Occur in Multi-Agent Systems?

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Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning

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The Effect of Iterativity on Adversarial Opinion Forming

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Easy Semantification of Bioassays

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Donut: Document Understanding Transformer without OCR

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TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors

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Emotions as abstract evaluation criteria in biological and artificial intelligences

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US-Rule: Discovering Utility-driven Sequential Rules

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Distribution Shift in Airline Customer Behavior during COVID-19

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Weighing the Milky Way and Andromeda with Artificial Intelligence

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Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification

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Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification

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AI Assurance using Causal Inference: Application to Public Policy

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STEM: Unsupervised STructural EMbedding for Stance Detection

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Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices

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Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems

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Outlier Detection using AI: A Survey

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SaDe: Learning Models that Provably Satisfy Domain Constraints

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Molecular Contrastive Learning with Chemical Element Knowledge Graph

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NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging

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Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction

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A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing

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Local Justice and the Algorithmic Allocation of Societal Resources

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An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers

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Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models

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Improving Controllability of Educational Question Generation by Keyword Provision

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On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System

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Recommending with Recommendations

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ProtGNN: Towards Self-Explaining Graph Neural Networks

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CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation

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Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text

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Architecting and Visualizing Deep Reinforcement Learning Models

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EngineKGI: Closed-Loop Knowledge Graph Inference

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Narrative Cartography with Knowledge Graphs

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Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

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Finding, Scoring and Explaining Arguments in Bayesian Networks

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Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs

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Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat

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Meaningful human control over AI systems: beyond talking the talk

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An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All

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Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering

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Universal Captioner: Long-Tail Vision-and-Language Model Training through Content-Style Separation

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Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements

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ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks

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A Volumetric Transformer for Accurate 3D Tumor Segmentation

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Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction

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Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey

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Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models

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Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

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Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks

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JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

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ML-Decoder: Scalable and Versatile Classification Head

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Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association

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Active Learning at the ImageNet Scale

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Less is More: Generating Grounded Navigation Instructions from Landmarks

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Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization

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Cross Your Body: A Cognitive Assessment System for Children

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Layered Controllable Video Generation

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Computer Vision User Entity Behavior Analytics

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Global Interaction Modelling in Vision Transformer via Super Tokens

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Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning

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Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

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Scene Graph Generation with Geometric Context

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VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field

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GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition

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BoxeR: Box-Attention for 2D and 3D Transformers

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Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image

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Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation

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PolyViT: Co-training Vision Transformers on Images, Videos and Audio

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Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

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Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions

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How Well Do Sparse Imagenet Models Transfer?

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Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network

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ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics

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Reinforcement Explanation Learning

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Neural Collaborative Graph Machines for Table Structure Recognition

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Self-supervised Correlation Mining Network for Person Image Generation

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3D Pose Estimation and Future Motion Prediction from 2D Images

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Efficient Self-Ensemble Framework for Semantic Segmentation

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Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

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FedDropoutAvg: Generalizable federated learning for histopathology image classification

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SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning

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OTB-morph: One-Time Biometrics via Morphing applied to Face Templates

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Emergent Graphical Conventions in a Visual Communication Game

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Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

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NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images

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SWAT: Spatial Structure Within and Among Tokens

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Neural Fields as Learnable Kernels for 3D Reconstruction

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Towards Low-Cost and Efficient Malaria Detection

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Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

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Inside Out Visual Place Recognition

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GeoNeRF: Generalizing NeRF with Geometry Priors

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TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs

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FQ-ViT: Fully Quantized Vision Transformer without Retraining

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Recognition and Co-Analysis of Pedestrian Activities in Different Parts of Road using Traffic Camera Video

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LAFITE: Towards Language-Free Training for Text-to-Image Generation

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The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement

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FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality

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Deep Video Coding with Dual-Path Generative Adversarial Network

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SwiftSRGAN -- Rethinking Super-Resolution for Efficient and Real-time Inference

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Customizing an Affective Tutoring System Based on Facial Expression and Head Pose Estimation

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Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method

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Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis

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UAV-based Crowd Surveillance in Post COVID-19 Era

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Learning To Segment Dominant Object Motion From Watching Videos

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Implicit Equivariance in Convolutional Networks

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FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation

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Gated SwitchGAN for multi-domain facial image translation

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Detection of E-scooter Riders in Naturalistic Scenes

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Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks

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A Hierarchy-Aware Pose Representation for Deep Character Animation

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Head and Body: Unified Detector and Graph Network for Person Search in Media

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HDR-NeRF: High Dynamic Range Neural Radiance Fields

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FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks

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MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions

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Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation

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Federated Learning with Adaptive Batchnorm for Personalized Healthcare

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MonoScene: Monocular 3D Semantic Scene Completion

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PartImageNet: A Large, High-Quality Dataset of Parts

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Event Neural Networks

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Generating Diverse 3D Reconstructions from a Single Occluded Face Image

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CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis

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Machine Learning-Based Classification Algorithms for the Prediction of Coronary Heart Diseases

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3D-Aware Semantic-Guided Generative Model for Human Synthesis

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PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound

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Sound-Guided Semantic Image Manipulation

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Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds

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How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey

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ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

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Transfer Learning with Jukebox for Music Source Separation

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A-Muze-Net: Music Generation by Composing the Harmony based on the Generated Melody

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When Creators Meet the Metaverse: A Survey on Computational Arts

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Model Risk in Credit Portfolio Models

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An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques

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From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market attachment

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Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary

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Graph Auto-Encoders for Financial Clustering

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Minimum Wages in Concentrated Labor Markets

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Improved Method of Stock Trading under Reinforcement Learning Based on DRQN and Sentiment Indicators ARBR

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Expert Aggregation for Financial Forecasting

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A Review on Graph Neural Network Methods in Financial Applications

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RPS: Portfolio Asset Selection using Graph based Representation Learning

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Analise Demografica e Socioeconomica do Uso e do Acesso a Medicamentos Antidepressivos no Brasil

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Can Education Motivate Individual Health Demands? Dynamic Pseudo-panel Evidence from China's Immigration

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Forex Trading Volatility Prediction using NeuralNetwork Models

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