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ORCID38th CANAI 2025: Calgary, AB, Canada
- Paula Branco, Amine Trabelsi, Kristina L. Kupferschmidt, Ulrich Aïvodji, Hussein Al Osman:
38th Canadian Conference on Artificial Intelligence, Canadian AI 2025, Calgary, AB, Canada, May 26-29, 2025, Proceedings. Canadian Artificial Intelligence Association 2025
Long Papers
- Mustafa Burak Topal, Aysun Bozanta, Eray Erer, Ayse Basar:
Handling Concept Drift in Fraud Detection: A Replication Study. - Errol DaRocha, Andrew McIntyre, Lydia Bouzar-Benlabiod:
A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Skin Lesion Imagery. - Rustem Kakimov, Xing Tan:
SAT for Upward Book Embedding: An Empirical Study. - Yingke Wang, Eunice Tan, Yingji Sun, Mamatha Bhat, Xi He, Sirisha Rambhatla:
Discrete-Survival Compatibility Score for Donor-Recipient Matching in Liver Transplantation. - Abhijeet Dhali, Renata Dividino:
SAGNN+CS: A Resilient Graph Neural Network Framework Against Backdoor Threats. - Miloud Mihoubi, Meriem Zerkouk, Belkacem Chikhaoui:
Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series. - Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui:
Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis. - James Vandersluis, Alexander Wong:
Detecting Aimbot Usage in Minecraft Using a Long Short-Term Memory Model. - Saifei Liao, Jingceng Niu, Gerald Penn:
Attenuating Catastrophic Forgetting of Token-Level Knowledge in Contrastive Sentence Embeddings with Attentive Pooling. - Shuzhang Cai, Twumasi Mensah-Boateng, Xander Kuksov, Jing Yuan, Shaojie Tang:
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting. - Arezoo Alipanah, Yash Pant:
Generating Malicious Demonstration Policies to Exploit Vulnerabilities in Inverse Reinforcement Learning. - Nawar Turk, Sevag Kaspar, Leila Kosseim:
On the Influence of Discourse Relations in Persuasive Texts. - Yiheng Wang, Jiayu Lin, Zuoquan Lin:
On Pre-training and Self-training. - Usama Mohiuddin, Emad Mohammed:
Real-Time Plant Disease Detection Using YOLOv8 on a Low Resources Device. - Amin Avan, Akramul Azim, Qusay H. Mahmoud:
Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing. - Reza Sadeghian, Niloofar Hooshyaripour, Chris Joslin, WonSook Lee:
Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection. - Javed Khan, Sharmila Rahman Prithula:
Ethical Risk Assessment of the Data Harnessing Process of LLM supported on Consensus of Well-known Multi-Ethical Frameworks. - Ehsan Ganjidoost, Jeff Orchard:
Enhancing Predictive Coding Networks for Multi-Modal Generation and Classification. - Nathaniel Lesperance, Sujeevan Ratnasingham, Graham W. Taylor:
Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification. - Arash Peik, Mohammad Ali Zare Chahooki, Amin Milani Fard, Mehdi Agha Sarram:
Enhancing Cryptocurrency Price Prediction by Applying Temporal Fusion Transformers on Subseries. - Saeede Anbaee Farimani, Majid Vafaei Jahan, Pouya Soltani, Amin Milani Fard:
Financial Market Prediction using Contrastive Learning-based News Representation and Multi-Resolution Market Data. - Sidratul Montaha, Rashik Rahman, Nathan Weiss:
Balanced-Boundary IoU: A holistic algorithm towards improving segmentation evaluation metric. - Iain Smith, Osmar Zaïane:
Faithful Perturbations and Evaluations for Post-Hoc Local Explanation Methods. - Tara Azin, Daniel Dumitrescu, Diana Inkpen, Raj Singh:
Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition. - Iing Muttakhiroh, Thomas Fevens:
Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach. - Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin:
MAC: Multimodal Attentive Contrastive Learning Framework. - Alaa Nfissi, Ines Jemmali, Wassim Bouachir, Nizar Bouguila:
Multimodal Emotion Recognition with Cross-Attentive Learning and Feature Fusion. - Dan Zhu, Shijia Zhang, Jing Li, Sara Khanchi:
On the Impact of Imbalance Handling Techniques in Deep Learning Models for Malware Detection. - Yage Zhang, Xiaodan Zhu, Yifeng Li:
Aligning Language Models Using Multi-Objective Deep Reinforcement Learning. - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila:
Neural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech Enhancement. - Mohammad Hossein Karimian, Shakil M. Khan, Yves Lespérance:
On the Semantics of Actual Causality in Situation Calculus Concurrent Game Structures. - Lilian Hollard:
Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models. - Zahra Safari, Emad Mohammed, Behrouz H. Far:
Transfer Learning for Multi-Lead ECG Analysis in Cardiac Arrest Risk Classification. - Safwen Naimi, Arij Said, Wassim Bouachir, Guillaume-Alexandre Bilodeau:
InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait. - Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Quoc Khanh Nguyen, Phuc Truong Loc Nguyen, Francis Palma, Quoc Hung Cao:
XGD: Explainable AI-Guided Knowledge Distillation with Feature Refinement for Semantic Segmentation. - Michel Custeau, Diana Inkpen:
Enhancing Legal Text Entailment: Evaluating Model Architectures, Training Approaches, and Interpretability. - Zubeka Dang, Anna Jazayeri, Ran Arino, Anna Briskina, Amir Moslemi:
Unsupervised Feature Selection Using Orthogonally Constrained Matrix Factorization with Hessian Regularization and Non-Convex Sparsity. - Cory J. Butz, Jhonatan de S. Oliveira, Kadence Meredith:
Towards Inference in Arithmetic Circuits by Exploiting Barren Variables. - Ameer Ahmed Khan, Rachid Hedjam, Mebarka Allaoui, Guoqiang Zhong:
Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability. - Steve Boucher, Roger Villemaire:
The QBF Cover encoding for Harary Tic-Tac-Toe's. - Mustafa Mohammadi Gharasuie, Luis Rueda:
Fast Graph Neural Network for Image Classification. - Yousif Salman, Emad Mohammed, Cassandra Hui:
Improving Patient-Clinical Trial Matching Using Convolution Neural Networks. - Matin N. Ashtiani, Shanzi Rui, Bijan Raahemi:
A Domain-Specific Transformer Approach for Financial Statement Fraud Detection. - Mathieu Gravel, Jaël Champagne Gareau:
Topology-Driven Solver Selection for Stochastic Shortest Path MDPs via Explainable Machine Learning. - Arash Mozhdehi, Mahdi Mohammadizadeh, Saeid Kalantari, Beom Sae (Shawn) Kim, Xin Wang:
SPADE: Solving the Multi-Depot Vehicle Routing Problem with Inter-Depot Routes Using Multi-Agent Deep Reinforcement Learning.
Short Papers
- Anthony Nguyen, Wenjun Lin:
Intra-Layer Recurrence in Transformers for Language Modeling. - Tugba Yoldas:
From Control to Flourishing: Responsible Generative AI and the Limits of Meaningful Human Control. - Md Kamrujjaman Mobin, Md Saiful Islam, Sadik Al Barid, Md Masum:
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet. - Andrew Vardy:
A Minimalist Swarm Robotic Controller for Foraging. - Jérémy Foxcroft, Eric Sartor, Luiza Antonie:
Comparing Traditional and Deep Learning Approaches for Product Matching: Performance on Unseen Entities. - Ahmad Aljanaideh, Saeb Ganideh, Michael Pumphrey, Mohammad Al Janaideh:
Discovering and Evaluating Politeness Editing Strategies. - Seyed Alireza Rahimi Azghadi, Truong Thanh Hung Nguyen, Irina Kondratova, Hélène Fournier, Monica Wachowicz, Francis Palma, René Richard, Hung Cao:
SF2D: Semi-supervised Federated Learning for Fall Detection using (Un)labelled Data in Edge-Cloud. - Danial Ebrat, Sepideh Ahmadian, Luis Rueda:
Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering. - Chia-Hao Lin, Amin Milani Fard:
A Context-Aware LLM-Based Action Safety Evaluator for Automation Agents. - Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy Huang:
Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks. - Braeden Sherritt, Isar Nejadgholi, Marzieh Amini:
Analysis of Canadian Wildfire Tweets Over Seven Years. - Abhijeet Dhali, Renata Dividino:
How Robust Are Higher-Order Graph Neural Networks to Backdoor Attacks? - Xuanqi Zhang, Wonsook Lee, Chris Joslin:
3D Gaussian Splatting and Camera Poses Joint Optimization for Motion Blur Images via Low-pass Filter. - Annette Lau, Michael Rory Dawson, Patrick M. Pilarski:
Continual Prediction Learning Techniques to Support Users' Grasp Selection on a Multi-Articulating Prosthetic Hand.
Graduate Student Symposium
- Man Chun Chung, Mahdis Bisheban, Jeff Pieper:
Towards Backstepping Control of a Quadrotor Uncrewed Aerial Vehicle on SE(3). - Tyler Browne:
Deep learning prediction of bacterial genetic engineering using a hybrid CNN-transformer approach. - Amirhosein Ebrahimi, Mohammad Reza Zarei, Eva Kuhar, Prarthna Karunamurthy, Kasuni Pillagawa, Forough Jahandideh, Majid Komeili, Manoj Lalu, Arvind Mer:
From Data Annotation to AI Prediction: Streamlining Histopathology Analysis in Acute Respiratory Distress Syndrome. - Neil Allister Pais, Ritu Chaturvedi:
C++ Source Code Verification Pipeline. - Md. Ahad Hasan:
Deep Learning Approaches for Soil Moisture Prediction. - Kalonji Kalala:
Frame Problem and Obligation-Producing actions. - Naheen Kabir:
Advancements in Large Language Models Through Employment of Retrieval Augmented Generation and its Enhancements for Assistance in Academia. - Yu-Hao Tsai:
Toward a Deep Reinforcement Learning Framework for Efficient Uncrewed Aerial Vehicle Control System in Dynamic Environments. - Chanhong Park, Alex Ramirez-Serrano, Mahdis Bisheban:
Position and Attitude Trajectory Tracking Control for Advanced Aerial Manipulators Manipulating a Priori Unknown Objects. - Hiranya Udagedara, Mahdis Bisheban:
Enhancing Quadrotor Flight Accuracy: Extended and Unscented Kalman Filter Estimation in SE(3). - Aman Atman, Santosh Nannuru:
Mixture-of-Experts for Time Series Imputation.
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