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ORCID37th CANAI 2024: Guelph, ON, Canada
- Randy Goebel, Fattane Zarrinkalam:
37th Canadian Conference on Artificial Intelligence, Canadian AI 2024, Guelph, ON, Canada, May 27-31, 2024, Proceedings. Canadian Artificial Intelligence Association 2024
Long Papers
- Junjie Deng, Aijun An, Hajer Ayadi, Yiming Shao, Hossein Pourmodheji, Hao Zhou, Michael Feiman:
GPU Job Scheduler with Deep Reinforcement Learning. - Ethan Gibbons, Alexander Bailey, Beatrice M. Ombuki-Berman:
Genetic Algorithm and Loading Strategy for the Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery. - Zachary McGovarin, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman:
Stochastic Grouping and Subspace-Based Initialization in Decomposition and Merging Cooperative Particle Swarm Optimization for Large-Scale Optimization Problems. - Hirad Daneshvar, Reza Samavi:
GCE: Confidence Calibration Error for Improved Trustworthiness of Graph Neural Networks. - Doaa Ibrahim, Diana Inkpen, Hussein Al Osman:
Alcohol Use Estimators within the Canadian Population using Deep Learning on Social Media Data. - Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Görkem Ketenci, Hikmet Mazmanoglu:
To Label or to Pseudo Label? Active Learning vs Semi-Supervised Learning for Windows Malware Prediction. - Jun Huang, Yan Liu:
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency. - Austin Page, Farzaneh Abazari, Frank Eargle, Akramul Azim, Jeff Gardiner:
SIEM+: Harnessing Machine Learning for Advanced Anomaly Detection in Cybersecurity Software. - Anshul Verma, Shehroz Khan:
Diminishing Simplicity Bias using GAN Generated Unbiased Augmentations. - Intisar Almuslim, Diana Inkpen:
CanAL: a Canadian Appeal Law Legal Language Model for Legal Judgment Prediction. - Amir Haghshenas, Naser Ezzati-Jivan, Michel R. Dagenais:
Automatic Reduction of Execution Trace Data Volume Using Gradient Boosting in Large-Scale Microservice Systems. - Chris Beeler, Xinkai Li, Colin Bellinger, Mark Crowley, Maia Fraser, Isaac Tamblyn:
Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs. - Hamidreza Rouzegar, Masoud Makrehchi:
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions. - Spencer McIntosh von der Ohe, Alona Fyshe:
SoftSkillQG: Robust Skill-Targeted Reading Comprehension Question Generation Using Soft-prompts. - Muhammad Hammad Fahim Siddiqui, Diana Inkpen, Alexander F. Gelbukh:
Instruction Tuning of LLMs for Multi-label Emotion Classification in Social Media Content. - Ehsan Ganjidoost, Jeff Orchard:
Toward a Model of Associative Memory via Predictive Coding. - Farnaz Kheiri, Hamid Esmaeili Najafabadi, Shahryar Rahnamayan:
Progressively Growing Generative Adversarial Network Based Auto-encoder for MRI Image Inpainting. - Shamir Towsif Khandaker, Aminul Islam, Gabriel Trahan:
SuperiorLoss: An Intuitive Loss Function for Robust Curriculum Learning. - Shamir Towsif Khandaker, Aminul Islam, Gabriel Trahan:
Automated Debugging of Deep Text Classifiers. - Mir Saeed Damadi, Alan Davoust:
Evaluating gender bias in Wikipedia using document embeddings. - Sean Stilwell, Diana Inkpen:
Explainable Prompt-based Approaches for Sentiment Analysis of Movie Reviews. - Soroush Mortazavi Moghaddam, Yash Vardhan Pant, Sebastian Fischmeister:
Robust Reinforcement Learning for Linear Temporal Logic Specifications with Finite Trajectory Duration. - Kun Yan, Paula Branco:
SemiS-VFL: A Semi-Supervised Machine Learning Framework for Vertical Federated Learning. - Sean Berry, Mucahit Cevik, Ozan Ozyegen:
Interpreting time series forecasting models using model class reliance. - Md. Asif Khan, Akramul Azim, Farzaneh Abazari, Frank Eargle, Jeff Gardiner:
Automated offense Prioritization for SIEM using Probabilistic Machine Learning Models. - Carter Blair, Ben Armstrong, Kate Larson:
Liquid Ensemble Selection for Continual Learning. - Andrei Neagu, Frédéric Godin, Clarence Simard, Leila Kosseim:
Deep Hedging with Market Impact. - Atah Nuh Mih, Alireza Rahimi, Asfia Kawnine, Francis Palma, Monica Wachowicz, Rickey Dubay, Hung Cao:
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment. - Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood:
On Neural Process Pooling Operator Choice and Posterior Calibration. - Dahlia Shehata, Robin Cohen, Charles L. A. Clarke:
Rumour Evaluation with Very Large Language Models. - Hongzhi Zhang, M. Omair Shafiq:
Triple-Aware Reasoning: A Retrieval-Augmented Generation Approach for Enhancing Question-Answering Tasks with Knowledge Graphs and Large Language Models. - Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian, Richard Valenzano:
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data. - Dhiraj Golhar, Ninad Joshi, M. V. Joshi:
Generative Adversarial Network: Use of Non-IID Samples. - Siavash Hosseini, Thangarajah Akilan, Basit Rafiq:
Advanced Deep Regression Models for Oil Production Forecast. - Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Tuong Phan, Quoc Hung Cao:
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer. - Asim Mehmood, Shakil M. Khan:
Towards a Definition of Primary Cause in Hybrid Dynamic Domains. - Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang:
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). - Arash Mozhdehi, Mahdi Mohammadizadeh, Xin Wang:
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints. - Kunpeng Xu, Lifei Chen, Shengrui Wang:
DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning. - Miles Pitassi, Robin Cohen:
Advancing NHL Analytics through Explainable AI. - Paria Sarzaeim, Qusay H. Mahmoud, Akramul Azim:
Experimental Analysis of Large Language Models in Crime Classification and Prediction. - Jean-Thomas Baillargeon, Luc Lamontagne:
Same File Prediction: A New Pretraining Objective for BERT-like Transformers.
Short Papers
- Rebecca De Venezia, Natalie Nova, Christian Muise:
Conversation Alignment for Task-Oriented Dialogue Agents. - Hamideh Mehri, John Hawkin, Kyle L. Nickerson, Alexander Bihlo, Farzaneh Shoeleh:
BankGAN: A Generative Model for Synthetic Financial Transactions. - Quan Ngo, Daniel L. Silver:
Consolidation using Multiple Task Learning with Context Inputs and Replay of CVAE Generated Pseudo-Examples. - Muhammad Tahir, Shehroz Khan, James R. Davie, Soichiro Yamanaka, Ahmed Ashraf:
TransformerChrome: Transformer-based Model for Prediction of Gene Expression from Histone Modifications. - Yancheng Gong, Chunhao Liu, Ce Zhang, Liping Fu, Hao Wei, Guangyuan Pan:
An Attention-Based Parallel Hybrid Prediction Model for Intersection Level Turning Movement Forecasting. - Junteng Zheng, Jeff Orchard:
Humans Don't Get Fooled: Does Predictive Coding Defend Against Adversarial Attack? - Nisha Simon, Christian Muise:
Want To Choose Your Own Adventure? Then First Make a Plan. - Christopher Wang, Zheng Wang, Yunfei Ouyang, Behrouz Haji Soleimani:
Adaptive Learning Rates for Gradient Boosting Machines.
Graduate Student Symposium
- Kelly McConvey, Shion Guha:
Designing for Fairness in Higher Education Early Warning Systems. - Daniel Sadig, Reza Samavi:
Certified Robustness Guarantee for Ensemble Networks. - Ibrahim Aslam:
Storage Reduction for the Vehicular IoT Data with Transformer-based Autoencoders. - Zayn J. Abbas:
The Use of Human Evaluators in Emotion Text-Detection. - Mehjabin Rahman:
Using AI planning and multi-agent pathfinding for droplet routing. - Sayana Varughese, Cathrine Nayrouz:
Artificial Intelligence solution to monitor key human biomedical marker via thermal camera. - Kota Shamanth Ramanath Nayak:
Does ChatGPT Measure Up to Discourse Unit Segmentation? A Comparative Analysis Utilizing Zero-Shot Custom Prompts. - Joseph O'Neill:
A Fully Secure Approach to Privacy-Preserving Machine Learning for Satellite Image Classification. - Kristina L. Kupferschmidt, Cody Kupferschmidt:
Enhancing Food Price Forecasts in Canada: An Integration of Expert-Driven Covariates and Advanced ML Approaches. - ZeMing Gong, Austin T. Wang:
BioScan-CLIP: Contrastive Learning for Aligning Biological Images and DNA Sequences. - Vishvam Porwal:
EarthEncode: A Vision-Language Framework for Balanced Soil Property Mapping. - Andrei Neagu:
Deep Reinforcement Learning Algorithms for Financial Decision-Making. - Peash Ranjan Saha:
Generalized Voting Model To Measure Popularity Of Matchings. - Nisha Simon:
Large Language Models are Incoherent Storytellers.
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