| 2023 | Joint Trust for Belief Revision. | Aaron Hunter, Richard Booth |
| 2023 | From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art. | Sharon Chee Yin Ho |
| 2023 | Few shot learning approaches to essay scoring. | Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee |
| 2023 | Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. | Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco |
| 2023 | Exploring Preferential Label Smoothing for Neural Network-based Classifiers. | Paritosh Goyal, Chenyang Huang, Amine Trabelsi, Osmar Zaane |
| 2023 | Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning. | Ali Ghaemmaghami |
| 2023 | Quantifying Path Smoothness in Video Object Tracking by Detection. | Mohammed Gasmallah, Franois Rivest, Farhana H. Zulkernine, Mlanie Breton |
| 2023 | PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. | Louis Fortier-Dubois, Benjamin Leblanc, Gal Letarte, Franois Laviolette, Pascal Germain |
| 2023 | Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains. | Michiel Dhont, Elena Tsiporkova |
| 2023 | Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing. | Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese |
| 2023 | Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites. | Ericsson Chenebuah, Michel Nganbe, Alain Tchagang |
| 2023 | Upward Pass Semantics in Arithmetic Circuit Inference. | Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos, Anna Norris, Kadence Meredith |
| 2023 | RISC: Generating Realistic Synthetic Bilingual Insurance Contract. | David Beauchemin, Richard Khoury |
| 2023 | Parameter-Efficient Methods for Metastases Detection fromClinical Notes. | Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do |
| 2023 | Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. | Abder-Rahman Ali, Peng Guo, Anthony E. Samir |
| 2023 | PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. | Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu |
| 2023 | Machine learning for the prediction of safe and biologically active organophosphorus molecules. | Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu |
| 2022 | Deep Learning of Latent Edge Types from Relational Data. | Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, Parmis Naddaf |
| 2022 | Learning NAT-Modeled Bayesian Network Structures with Bayesian Approach. | Yang Xiang, Wanrong Sun |
| 2022 | Voice Cloning Applied to Voice Disorders: a Study of Extreme Phonetic Content in Speaker Embeddings. | Lily Wadoux, Nelly Barbot, Jonathan Chevelu, Damien Lolive |
| 2022 | Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. | Basile Tousside, Janis Mohr, Jrg Frochte |
| 2022 | Classification of Moving Objects Under the Spatial-Spatiotemporal Taxonomy of Descriptor. | Yashar Tavakoli |
| 2022 | Deep Convolutional Neural Network for Molecular EnergyPrediction. | Omid Tarkhaneh |
| 2022 | NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks. | Ali Abbasi Tadi, Luis Rueda, Dima Alhadidi |
| 2022 | A Hoeffding Decision Tree Based Approach for Soil Classification. | Dakota Soares, M. Ali Akber Dewan, Fuhua Oscar Lin |