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Publication search results
found 1,271 matches
- 2023
- Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu:
Machine learning for the prediction of safe and biologically active organophosphorus molecules. Canadian AI 2023 - Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu:
PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. Canadian AI 2023 - Abder-Rahman Ali, Peng Guo, Anthony E. Samir:
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. Canadian AI 2023 - Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI 2023 - David Beauchemin, Richard Khoury:
RISC: Generating Realistic Synthetic Bilingual Insurance Contract. Canadian AI 2023 - Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anna Norris, Kadence Meredith:
Upward Pass Semantics in Arithmetic Circuit Inference. Canadian AI 2023 - Ericsson Chenebuah, Michel Nganbe, Alain Tchagang:
Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites. Canadian AI 2023 - Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese:
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing. Canadian AI 2023 - Michiel Dhont, Elena Tsiporkova:
Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains. Canadian AI 2023 - Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain:
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. Canadian AI 2023 - Mohammed Gasmallah, François Rivest, Farhana H. Zulkernine, Mélanie Breton:
Quantifying Path Smoothness in Video Object Tracking by Detection. Canadian AI 2023 - Ali Ghaemmaghami:
Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning. Canadian AI 2023 - Paritosh Goyal, Chenyang Huang, Amine Trabelsi, Osmar Zaïane:
Exploring Preferential Label Smoothing for Neural Network-based Classifiers. Canadian AI 2023 - Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco:
Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. Canadian AI 2023 - Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee:
Few shot learning approaches to essay scoring. Canadian AI 2023 - Sharon Chee Yin Ho:
From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art. Canadian AI 2023 - Aaron Hunter, Richard Booth:
Joint Trust for Belief Revision. Canadian AI 2023 - Saeedeh Jamali:
An Explainable Deep Few-shot Network for Protein Family Classification. Canadian AI 2023 - Gaurav Jariwala, Vlado Keselj:
Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning. Canadian AI 2023 - Vicky Kuo:
Machine Learning for Hotel Booking Cancellations Prediction. Canadian AI 2023 - Ruikang Luo, François Rivest, Farhana H. Zulkernine:
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI 2023 - Ahmed Mabrouk:
Anomaly Detection and Explanation of Wind Turbine Main Bearings using Autoencoder and Bayesian Network Models. Canadian AI 2023 - Sazia Mahfuz:
An Empirical Analysis on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data. Canadian AI 2023 - Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener:
An Empirical Study on Vagueness Detection in Privacy Policy Texts. Canadian AI 2023 - Daria Maltseva:
Heuristic Restart Methods for Optimal Surgery Scheduling. Canadian AI 2023 - Md. Al Maruf, Akramul Azim:
Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices. Canadian AI 2023 - Emily Medema:
A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine. Canadian AI 2023 - Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, Mattis Hartwig:
Improved Techniques for Training Tabular GANs Using Cramer's V Statistics. Canadian AI 2023 - Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang:
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks. Canadian AI 2023 - Ella Morgan, Christian Muise:
Learning to Recognize Reachable States from Visual Domains. Canadian AI 2023
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