Exploring Autoencoders and Contrastive Learning in Application to Deep Reinforcement Learning

Elderly Human Activity Recognition Using Accelerometer Data

Deep Reinforcement Learning for Robot Navigation in Unknown Environments

Panoptic Security to Face Recognition

PDE-constrained Neural Networks for Turbulent Rayleigh-Bénard Convection

Organization and Implementation of ICO for Business

Transfer Learning for Protein-ligand Binding Kinetics Prediction

Multi-modal Predicate Identification using Dynamically Learned Robot Controllers

Analysis of COVID-19 Data in India

Assessing Predictive Power of the Kalman Filter on the Russian Economy

Algorithm of creating personalized offers using social network analysis and community detection

Guided PATE for Scalable Learning

Bayesian Radio Interferometry: Joint Imaging and Calibration

Robot Assisted Diagnosis for Autism in Children

Deep Learning for Improving Limited Data Photoacoustic Tomography

Manufacturing Drawings Encryption: Fasteners

Heterogeneity in the U.S. Gender Wage Gap

Feature Selection for Unsupervised Learning via Coalitional Game Theory

Mobile Microscopy Deep Framework

Universal Portfolio Algorithm for Unreliable Financial Instruments

Loggi Forecasting Last-Mile using LSTM with RNN

Individual Tree Crown Classification on WorldView-2 Images Using Autoencoders

VANiLLa : Verbalised Answers in Natural Language at Large scale

Detection of Above Anvil Cirrus Plumes using Deep Learning

Image Compression by Adaptive Color Space Reduction: Image-dependent Color Quantization Using K-means Clustering

Manufacturing Drawings Encryption: Fasteners

Causal datasheet: an Approximate Guide to Practically Assess Bayesian Networks in the Real World

Deep Learning for Musculoskeletal Image Analysis

Exploiting the Potential of Deep Reinforcement Learning for Classification Tasks in High-dimensional and Unstructured Data

Multi Step Ahead Forecasting of Global Solar Radiation for Arid Zones Using Deep Learning

Automatic Chars Classification from Pulverised Coals Combustion

Spikes_Link: A Framework for Tracking Neural Activity with Concept Drift and Class Imbalance

Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification

Machine Learning for Protocol Reverse Engineering

An Algorithm for Dog Breed Identification App

Adversarial Attacks on Gradient-based Explantions for Text Classification Models

Assessment of Optical Flow methods as a temporal feature for Variational Autoencoder video anomaly detection methods.

Toyota Smarthome: Real-World Activities of Daily Living

Towards Disentangled Representations via Variational Sparse Coding

The Age of Space Race

Inventing Curriculum using Julia and Pointer-Generator Network

Word Embeddings to Analyze Peruvian Computing Curriculums

Convolutional Neural Networks in Respiratory Conditions Detection: A Systematic Review of the Last 4 Years

Model Based Systems Engineering and Digital Twin Program

Russian Multi-sentence Reading Comprehension

Research on the Stability of Generative Adversarial Network

The Classification of Drug Addicts's Messages in Social Networks with Neural Networks

Alcohol Consumption and Macroeconomic Dynamics

Deep Search in Stress-related Documentation

Hypersonic Vehicle Trajectory Classification Using Convolutional Neural Network

A Classification Method for Depressive-like Behaviour in Rodents Under Different Stress Paradigms

Hybrid Quantum Neural Networks

Restoration of Landsat-7 images Using Deep Image Prior

No Representation Without Transformation

On a Chatbot Navigating a User through a Concept-Based Knowledge Model

Using ML to Assist the Visually Impaired in Text Detection

AI and Satellite Problems

Risk Assessments and Measurements of Privacy Leaks within Google's Ads Data Hub

The Characteristic of Bacteriocin Operons of Arthrobacter sp ATCC 21022 and Bacillus gottheilii FJAT 2394

Convolutional Neural Network-Based Autonomous Drone

AI In Aerospace Engineering

An Intelligent Predictive Model for Electricity Consumption in Institutional Buildings Using Artificial Neural Network

Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments

Image Recognition Using Transfer Learning

Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema

Anomaly Detection On Heart Disease Dataset

Uncertainty Estimation in Deep 2D Echocardiography Segmentation

Deconvolution of Transcriptomic Data Shows Biologically and Clinically Relevant Signals in Pancreatic Tumors

Analysis of SLC12A7, CLCNKB, PTPRD Methylation Level in Fibroblast Cell Lines Derived From Parkinson's Disease-Discordant Twins

Design and Implementation of Smart Meter with Load Forecasting Feature for Residential Customers

Region Based Active Learning for Efficient Labeling in Semantic Segmentation

Last Words

Vec2graph: A Python Library For Visualizing Word Embeddings As Graphs

Breast Cancer Analysis and Prediction

Machine-Learning-Assisted Segmentation of FIB-SEM Images

The Search For Genetic Risk Factors of Ischemic Stroke With Machine Learning Approaches

Text Scene Detection with Transfer Learning in Price Detection Task

Exploring Autoencoders and Contrastive Learning in Application to Deep Reinforcement Learning

GAN-Inspired Algorithm for Hamiltonian Learning

Mobile Microscopy Deep Framework

Wasserstein-2 Generative Networks

Quantitative Analysis of Cell Targeting by Particle-Based Agents Using Imaging Flow Cytometry and Object Detection Technique

Integrating Multiple Position Weight Matrices in Decision Trees For Improved Prediction of Transcription Factors Binding Sites

Reinforcement Learning Framework for Deep Brain Stimulation

Handwritten Text Recognition Using Reconstructed Pen Trace with Skeleton Representation

Approaches to Credit Risk Assessment in Small Business Sector of Russian Federation

Challenges in Interpretability of Neural Networks for Eye Movement Data

Training a CNN Into Developing a "Halle Berry" Neuron

Covid Data Analytics : Case Study on India

Sentiment Analysis in Social Networks

Analyze Social Networks by Graph Neural Network

Covariance-Based Readouts in Echo State Networks

Estimating Model Uncertainty of Neural Networks in Sparse Information Form

Stiffness Nomograms for System Brackets

Predicting Video Memorability via Deep Learning

Optimizing Bike Sharing System Flows Using Graph Mining, Convolutional and Recurrent Neural Networks

Can We Fool Machines? (Reading Comprehension)

Experimental Neural Network Enhanced Quantum Tomography

GANs & Lungs: Improving Pneumonia Prediction

Charting the Right Manifold: Manifold Mixup for Few-Shot Learning

An introduction to Expander Graphs

The Seperability-Entanglement Classification With Machine Learning

Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure

Nonlinear Prediction of Heel Bone Mineral Density

Machine Learning Algorithms for Stratigraphy Classification on Uranium Deposits

Machine Teaching of Active Sequential Learners

Dish ID: Extract Recipe from Photo

Time-Series Deep Learning Algorithm Development for Continuously Measured Data Prediction

Exploring Autoencoders and Contrastive Learning in Application to Deep Reinforcement Learning

Hate speech Analysis in Social Media Based on Deep Neural Network Techniques for Transfer Learning

Deep Reinforcement Learning Control of Cylinder Flow Using Rotary Oscillations at Low Reynolds Number

Variational Inference for High Dimensional Structured Factor Copulas

Taxonomy Enrichment Using Contextual Information

Exploring Autoencoders and Contrastive Learning in Application to Deep Reinforcement Learning

MMDF: Mobile Microscopy Deep Framework

Source Separation of Seismically Induced Signals

Segmentation of Cloud Patterns From Satellite Images to Improve Climate Models

High-Dimensional Analysis in Machine Learning

Prediction of Protein Stability Change Upon Mutation using Deep Learning

Online Variational Bayesian Subspace Filtering

Dish-ID: Extract Recipe from a Photo

Restoration of Landsat-7 Images Using Deep Image Prior

Data-Driven System for Automated Discourse Parsing of Russian Texts

Iterative Methods for the Topic Balancing Problem

Spatial Poisson Mixtures: London Burglary Case Study

Modeling of Human Behavior Using Behavioral Economics Principles and Neural Networks Techniques

Al Chatbots for Corporate e-Learning Environments

Using Machine Learning Models to Predict Kickstarter Success for Technology Projects

Text Clustering Based on Transformer Representation Learning

Self-Assembling Molecular Networks: From Atomistic Simulations to Nanoscale Mechanics

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic

Machine Learning in the Identification of the Diesel Injector Parameters

Building a Reciprocal Recommendation System at Scale From Scratch: Learnings From One of Japan's Prominent Dating Applications

Noise Aware Models for Relation Extraction

A New Approach of Analyzing Auger Electron Spectroscopy Data Using Deep Learning

Computed Tomography Segmentation Improvement By Learning From Noisy Annotations

A Reinforcement Learning Approach to Autonomous Decision-Making in Physical Internet Hub

Optimization of Diet Food Composition for Hypertension Patients Based on Genetic Algorithms

Price Distortions and Municipal Bonds Premiums: Evidence from Switzerland

Efficient Strategies for Hierarchical Text Classification: External Knowledge and Auxiliary Tasks

On the Challenges of Representing Joint Cumulative Probabilistic Generative Functions of Attributed-Networks

The Search for Genetic Risk Factors of Ischemic Stroke with Machine Learning Approaches

Change Point Detection via End2end Approach with Representation Learning

Model Based Systems Engineering and Digital Twin Program

Concept Disambiguation in Wikification Using Multiple Overlapping Contexts

Semi-Supervised Time Series Classification for Web User Return Time

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Weight/Cost Balance through Optimized Material Selection for Commercial Airplanes

Identification of Papers Suitable for the Nuclear Reaction Database EXFOR

Neural Point-Based Graphics

Blind Image Deconvolution Using Deep Generative Priors

Creating a Cognitive Assistant with NLP

MMDF: Mobile Microscopy Deep Framework

Dish-ID: Extract Recipe from a Photo

Automate Remote Sensing Forest Inventory Using Satellite Imagery

Robustness of GAN-based Generators Against Adversarial Attacks

Natural Language Processing for Radiological Reports Classification

Predictions of Pairs of Drugs with Synergistic Activity Against Leukemia Cell Lines Based on NCI-ALMANAC Data

Manufacturing Drawing Decryption

Backtesting Framework for High Frequency Trading

Uniform Inference in Gaussian Graphical Models

Assistance with Audit

Individual Tree Crown Classification on WorldView-2 Images using Autoencoders

MP-Boost: Boosting via Minipatch Learning Using Adaptive Sample and FeatureSelection Enhances Scalability and Interpretability

Informative Multimodal Unsupervised Image-to-Image Translation

A Dynamic Time Window Statistic Tool to Test Price Convergence in European Gas Market

Exploring Autoencoders and Contrastive Learning in Application to Deep Reinforcement Learning

Event2mind for Russian: Understanding Emotions and Intents in Texts

Weight/Cost balance through optimized material selection for commercial airplanes

Indexing Fingerprint Biometric Database

Analysis of MS Images of Brain Tumor Tissues

Using Adaptive Locally Connected Layer in Attention Based Deep Neural Network for Speech Command Recognition

Principal Curve Approaches for Inferring 3D Chromatin Architecture

Measuring Mutual Information for High-Dimensional Embeddings

Quantile Regularization: Towards Implicit Calibration of Regression Models

Poetry Generation Using Markov Chains

Harnessing Sentiment in Review Texts to Recommend Peer-review Decisions

Biologically Inspired Cognitive Architectures

Benchmarks in Reinforcement Learning for Mixed Autonomy Traffic Control

Slingshot Net: CNN+RNN Network for Twitter Messages Deletion Prediction

Segmentation of Cloud Patterns From Satellite Images to Improve Climate Models

Understanding Priors in Bayesian Deep Learning

latent Semantic Analysis of Text Processing

Breast Cancer Analysis and Prediction

Texture Analysis of Liver Ultrasound Images for Classification of a Patient's State

Prosodic Characteristics of Russian Language Regional Dialects: from Praat to Python

BERT Implementation for Detecting Adverse Drug Effects Mentions in Russia

Using Neural Network Based on Depth Map for Face Anti-spoofing.

First U-Net Layers Contain More Domain Specific Information Than The Last Ones

Genetic Algorithm for Curve Fitting

Synthesis of Algorithms for Neural Network Pattern Recognition and Regression Recovery

Unconscious Learning of the Purr-fect Cats

Computer Adided Skin Cancer Detection: Image Processing Techniques

Research on the Stability of Generative Adversarial Networks