AJCAI 2024 - Melbourne, Australia

Accepted Papers

Submission ID 86: Economic Graph Lottery Ticket: A GNN based Economic Forecasting Model, Htoo Wai Aung, Ying Guo, Jiaming Li, Geoff Lee, Zili Zhu
Submission ID 14: Learning low-energy consumption obstacle detection models for the blind, Peijie Xu, Andy Song, Ke Wang
Submission ID 5: A Self-Adaptive Framework for Efficient Cell Detection and Segmentation in Histopathological Images with Minimal Expert Input, Enqi Liu, Lin Zhang, Islam Alzoubi, Haneya Fuse, Manuel B. Graeber, Xiuying Wang
Submission ID 32: Legal Judgment Prediction through Argument Analysis, Azmi, Meladel Mistica, Inbar Levy, Eduard Hovy
Submission ID 111: Enabling Visual Intelligence by Leveraging Visual Object States in a Neurosymbolic Framework, FILIPPOS GOUIDIS, Konstantinos Papoutsakis, Theodore Patkos, Antonis Argyros, Dimitris Plexousakis
Submission ID 67: Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning, Sheng Chen, Zihao Tang, Xinyi Wang, Chenyu Wang, Weidong Cai
Submission ID 82: Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle, Abdul Qayyum, Moona Mazher, Charles Sillett, Angela Lee, Jose A Solis-Lemus, Steven A Niederer, Imran Razzak
Submission ID 23: New Perspectives for the Deep Learning Based Photography Aesthetics Assessment, Vernon Asuncion, Yan Zhang
Submission ID 63: Importance-based Pruning for Genetic Programming based Symbolic Regression, Rimas Mohamad, Qi Chen, Mengjie Zhang
Submission ID 19: GPT-4 attempting to attack AI-text detectors, Alshehri Nojoud, Yuhao Lin
Submission ID 2: Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation, Ben Harwood, Amir Dezfouli, Iadine Chades, Conrad Sanderson
Submission ID 93: LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction, Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
Submission ID 103: Pattern-based Trading by Continual Learning of Price and Volume Patterns, Patrick Liston, Charles Gretton, Artem Lensky
Submission ID 71: Leveraging LLM in Genetic Programming Hyper-Heuristics for Dynamic Microservice Deployment, Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Chen Wang
Submission ID 3: Pathwise Gradient Variance Reduction with Control Variates in Variational Inference, Kenyon Ng, Susan Wei
Submission ID 7: TSI: A multi-view representation learning approach for time series forecasting, Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
Submission ID 29: Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions, Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
Submission ID 40: Motif-induced Subgraph Generative Learning for Explainable Neurological Disorder Detection, Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Febrinanto, Azadeh Noori Hoshyar, Feng Xia
Submission ID 24: Bayesian parametric proportional hazards regression with the fused lasso, Enes Makalic, Daniel F. Schmidt
Submission ID 78: SCODA - A Framework for Software Capability Representation and Inspection, Hsu Myat Win, John Thangarajah, Sebastian Rodriguez, Andrew Warhurst
Submission ID 100: Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation, Alastair Kho, Duc-Son Pham, Susannah Soon, Kit Yan Chan
Submission ID 113: An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting, Qiyuan Zhu, A. K. Qin, Hussein Dia, Adriana-Simona Mihaita, Hanna Grzybowska
Submission ID 9: End-to-end Truck Speed Detection using Deep Multi-Task Learning, Zuo Huang, Richard Sinnott, Krista A. Ehinger
Submission ID 55: Revisiting Bagging for Stochastic Algorithms, Caitlin A. Owen, Grant Dick, Peter A. Whigham
Submission ID 6: FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack, Xueyang Kang, Fengze Han, Abdur R Fayjie, Patrick Vandewalle, Kourosh Khoshelham, Dong Gong
Submission ID 17: Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning, David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu
Submission ID 62: Beyond Factualism: A Study of LLM Calibration through the Lens of Conversational Emotion Recognition, Samad Roohi, Richard Skarbez, Hien Duy Nguyen
Submission ID 102: An Improved Prescriptive Tree-based Model for Stochastic Parallel Machine Scheduling, Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong
Submission ID 28: Combined Change Operators for Trust and Belief, Aaron Hunter
Submission ID 39: Charting a Fair Path: FaGGM Fairness-aware Generative Graphical Models, Vivian Wei Jiang, Gustavo Enrique Batista, Michael Bain
Submission ID 59: Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos, Lianyang Ma, Yu Yao, Tao Liang, Tongliang Liu
Submission ID 13: Active Continual Learning: On Balancing Knowledge Retention and Learnability, Thuy-Trang Vu, Shahram Khadivi, Mahsa Ghorbanali, Dinh Phung, Reza Haf
Submission ID 84: Ensuring Fairness in Stochastic Multi-Armed Bandit Problems for Effective Group Recommendations, Rei Ozaki, Atsuyoshi Nakamura
Submission ID 52: Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection, Yihan Bao, Abdul Karim Obeid, Daniel Angus, Julian Bagnara, Christopher Leckie
Submission ID 70: REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models, Ambuje Gupta, Mrinal Rawat, Andreas Stolcke, Roberto Pieraccini
Submission ID 53: 3DSSG-Cap: A Caption Enhanced Dataset for 3D Visual Grounding, Yifan wang, Chaoyi Zhang, heng wang, Weidong Cai
Submission ID 64: Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering, Wangli Yang, JACK Yang, Wanqing Li, Yi Guo
Submission ID 11: Real-Time Lightweight 3D Hand-Object Pose Estimation Using Temporal Graph Convolution Networks, Yue Yin, Chris McCarthy, Dana Rezazadegan
Submission ID 80: Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold?, Anupam Chaudhuri, Anj Simmons, Mohamed Abdelrazek
Submission ID 69: Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions, Yifei Chen, Lambert Schomaker, Francisco Cruz
Submission ID 20: Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss, Chen Wang, Erik Behrens, Hui Ma, Gang Chen, Victoria Huang
Submission ID 4: Localization System Enhanced with CDLPE: A Low-Cost, Resilient Map-Matching Algorithm, Yanyan Wang
Submission ID 30: Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science, Lachlan McGinness, Peter Baumgartner, Esther Onyango, Zelalem Lema
Submission ID 68: Towards Virtual Character Control via Partial Story Sifting, Wilkins Leong, Julie Porteous, John Thangarajah
Submission ID 98: Vision-Based Abnormal Action Dataset for Recognising Body Motion Disorders, Jiaying Ying, Xin Shen, Xin Yu
Submission ID 46: Graceful task adaptation with a bi-hemispheric RL agent, Grant Nicholas, Levin Kuhlmann, Gideon Kowadlo
Submission ID 77: Online Deep Reinforcement Learning of Servo Control for a Small-Scale Bio-Inspired Wing, Luc Stiemer, Mario Martinez, Louisa Wood, Abdulghani Mohammed, Timothy Wiley
Submission ID 75: Bidirectional Dependency Representation Disentanglement for Time Series Classification, Tianren Zhao, Hua Zuo, Guangquan Zhang
Submission ID 33: DBSSM: Deep BERT-based Semantic Skill Matching from Resumes to a Public Skill Taxonomy, Haohui Chen, Claire Mason, Yanchang Zhao, Qinyong Wang
Submission ID 85: Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-satellite, Zaher Joukhadar, Jonathan Morgan, Christopher Bayliss, Miguel Ortiz del Castillo, Jack McRobbie, Robert Mearns, Krista A. Ehinger, Benjamin I. P. Rubinstein, Richard Sinnott, Michele Trenti, James Bailey
Submission ID 107: Equality Generating Dependencies in Description Logics via Path Agreements, Eva Feng, Enrico Franconi, Peter F. Patel-Schneider, David Toman, Grant Weddell
Submission ID 83: Posterior Tracking Algorithm for Multi-objective Classification Bandits, Riku Suzuki, Atsuyoshi Nakamura
Submission ID 38: Online Machine Learning for Real-Time Cell Culture Process Monitoring, Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys
Submission ID 60: Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks, JIANJIU OU, Jianlong Zhou, Yifei Dong, Fang Chen
Submission ID 36: ECoDe: A Sample-Efficient Method for Co-Design of Robotic Agents, Kishan Reddy Nagiredla, Arun Kumar A V, Buddhika Laknath Semage, Thommen Karimpanal George, Santu Rana
Submission ID 16: DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems, Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu
Submission ID 56: Sampling of Large Probabilistic Graphical Models Using Arithmetic Circuits, Sandeep Suresh, Barry Drake
Submission ID 94: Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning, Chris Lee, Francisco Cruz, Eduardo Sandoval
Submission ID 61: Real-Time Human Activity Recognition Using Non-Intrusive Sensing and Continual Learning, Md Geaur Rahman, Sabih ur Rehman, Shanna Fealy, Johan Sebastian Ramirez Vallejo, Aayush Fuskelay, Mohammad Ali Moni
Submission ID 48: Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection, Chengyao Xie, Wenhao Zhou, Ciyuan Peng, Azadeh Noori Hoshyar, Chengpei Xu, Usman Naseem, Feng Xia
Submission ID 37: Causally driven hierarchies for Feudal Multi-Agent Reinforcement Learning, Priyam Dalmia, Joseph West
Submission ID 97: Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis, Van Anh Le, Andy Song, Karin Verspoor