Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling

On the bias-variance tradeoff : textbooks need an update

Optimization and game dynamics in machine learning

Optimization and game dynamics in machine learning

Real-time AI-based Anomaly Detection of 5G Network Latency ** Extension with new objectives and deliverables **

A Classification and Comparative Study of Existing Fast Reinforcement Learning Techniques

Estimation visuelle securitaire et explicable des conditions routieres

ML/DL for Action Detection in Movies for Haptic Effects Generation

Consistent and robust Generative Models for Volatility Surfaces

Virtual sensor estimation model for turbine labyrinth seal displacements with Deep Learning technics

Comparison of algorithms for predicting drug-target interactions and performance benefits of ensemble learning

Pre-training large models that generalize well across the chemical space

Design et implémentation d'un outil AutoML

Deep Learning Classification and model compression

Can Knowledge Transfer in a Genetic Algorithm Accelerate Hyper-Parameter Tuning of a Deep Neural Network?

High-frequency financial forecasting

Fuzzy Entity Matching

Climate Investment Impact AI Model

Face Matching 1 to N

Automated Open World Gameplay Exploration with Curiosity-driven Reinforcement Learning

Reinforcement Learning based Graph Convolutional Recommender Systems

Indoor Object Detection for Blind People

Theory and Methods for OOD Generalization and Robust Learning

Fonds de recherche - fonds de recherche - Concours postdoc 2019-2e édition Nicolas Loizou Optimization Algorithms for Machine Learning and Deep learning

Apogée Canada fonds d'excellence en recherche / Bourse d'excellence IVADO au postdoctoraux Nicolas Loizou

Développement d'une méthode non-supervisée d'apprentissage profond pour la détection de défaillance à partir de signaux acoustiques et vibratoires

Apprentissage par renforcement pour la planification de la production dans le réseau électrique québécois de 2035

Real-time AI-based Anomaly Detection of 5G Network Latency

Object occlusion detection

Transition model for insurance risks

Using AI to help first responders assess skin burns

Automatic Trailer Generation

Utilisation de l’apprentissage par renforcement pour la prévision de la demande énergétique

Solar irradiance nowcasting using partially labeled data

Creation of real estate valuation model, combining different sources of information

AI/ML classification of underwater contacts for defense applications

AI-enabled molecular search database

Indoor object detection for personal assistant for the blind

Multi-Domain Recommendation for Restaurants Using GNN Models

Applying state-of-art NLP models to molecular representation

Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

Portrait photo segmentation and generation with Deep Neural Network

Méthode algorithmique d’apprentissage pour améliorer l’impact de systèmes de dialogue

Differentially private models for detection of previously seen data

Transfer learning in a Solar Radiation Forecasting context

Multi-sensor object detection and localization for inspection robots

Multi modal information extraction for visually rich documents

Development of a microbiome relevant image-capture food analysis tool.

3D Brain lesion detection from MRI images

Pattern Recognition and Event Forecasting to Increase the Performance of Industrial Bioprocesses, in an Effort to Accelerate the Sustainable

Mise en place d’Espace Données

Digital transformation with glassware

Estimation of turbine runner blade measured strains from indirect measurements using machine learning

Semi supervised object detection

Improvement of covid-19 treatment with machine learning

Active learning for visual detection on inspection robots

Computer Vision R&D project - Autonomous Robot Assistant

Power network transfer capability (Phase II – data error detection)

New molecular representation, molecular generation, and data mining strategies for thedesign of SARS-CoV-2 therapies

GROKVIDEO

Short term Electrical Load Forecasting

Detection of missing words

Discovery of Root Causes of Quality Deviations in Electronics Manufacturing

Advancing traceability in informal supply chains through applied AI and ML

Solar Radiation Forecasting

Monitoring of turbine runner blade strains from indirect measurements using AI

Contextual portrait detection

Computer Vision for Crop Weed Identification

Automate key elements of the patient journey in the Medical Context

Supplément COVID-19 CRSNG_Optimization and game dynamics in machine learning

Predicting demand and inventory shortages for better inventory management in health care institutions

Brain Lesion Detection

Optimisation adaptive de l'apprentissage profond: généralisation, dynamiques du système et adaptation du domaine

Development of prediction models in smart buildings using data driven approaches through Artificial Intelligence

Interactive Video Tutoring Module

Predicting demand and inventory shortages for better inventory management in health care institutions

Impact of personas on cross-domain recommendation systems for online food ordering

Automated Pilot Performance Assessment

Programme de fonds de démarrage et d'opération pour professeur IVADO - Compte fonds de d'opération - Ioannis Mitlliagkas

Programme de fonds de démarrage et d'opération pour professeur IVADO - Compte fonds de démarrage - Ioannis Mitlliagkas