Table of Contents

• State-Of-The-Art and Challenges in Causal Inference on Graphs: Confounders and InterferencesJingyuan Chou, Jiangzhuo Chen, Madhav V. Marathe. 1-13 [doi]
• Causal Inductive Biases for Cognitive Machine LearningSaketh Vishnubhatla, Adrienne Raglin, Raha Moraffah, Huan Liu 0001. 14-16 [doi]
• Causal Intervention and Semantic Knowledge for Object RelationshipsAyron Fears, Adrienne Raglin, Anjon Basak. 17-22 [doi]
• The Case for Micro Foundation Models to Support Robust Edge IntelligenceTomoyoshi Kimura, Ashitabh Misra, Yizhuo Chen, Denizhan Kara, Jinyang Li 0004, Tianshi Wang, Ruijie Wang 0004, Joydeep Bhattacharyya, Jae Kim, Prashant J. Shenoy, Mani Srivastava 0001, Maggie B. Wigness, Tarek F. Abdelzaher. 23-31 [doi]
• Enhancing Federated Learning Security: Combating Clients' Data Poisoning with Classifier EnsemblesArunava Roy, Dipankar Dasgupta. 32-39 [doi]
• Optimized Machine Learning Based Multimodal UAV Detection Using Ensemble StackingJames McCoy, Danda B. Rawat. 40-49 [doi]
• Using Automated Core and Spurious Features Detection in Scene Recognition to Explain Computer Vision ModelAnjon Basak, Adrienne Raglin. 50-55 [doi]
• Towards Effective Authorship Attribution: Integrating Class-Incremental LearningMostafa Rahgouy, Hamed Babaei Giglou, Mehnaz Tabassum, Dongji Feng, Amit Das, Taher Rahgooy, Gerry V. Dozier, Cheryl D. Seals. 56-65 [doi]
• Automated Framework for Groundwater Monitoring Using DWT with LSTM and TransformersMrunmayee Dhapre, Jehanzeb Khan, Youngsoo Kim, Thomas Danielson, Shrikant Jadhav. 66-74 [doi]
• Data-Driven Vulnerable Community Identification During Compound DisastersJainil Anilkumar Patel, Mohammadreza Akbari Lor, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis. 75-84 [doi]
• Overcoming Trust and Incentive Barriers in Decentralized AIAbhishek Singh 0005, Charles Lu 0001, Ramesh Raskar. 85-94 [doi]
• MimicAI: An LLM based system that mimics and explainsUpendra Sharma, Sriya Ayachitula. 95-102 [doi]
• Open Human-Robot Collaboration Systems (OHRCS): A Research PerspectivePrasanth Sengadu Suresh, Diego Romeres, Prashant Doshi, Siddarth Jain. 103-110 [doi]
• A Study of Response Time Instability of Microservices at High Resource Utilization in the CloudQingyang Wang 0001, Xuhang Gu, Calton Pu. 111-116 [doi]
• A Graph-based Approach to Human Activity RecognitionThomas Peroutka, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar. 117-126 [doi]
• Trust and Collaboration Testing in Controlled Human-Robot EnvironmentsJohn Frericks, Brandon Kang, Neal Outland, Prashant Doshi, Kyle Johnsen, Aaron Schecter. 127-136 [doi]
• Sense-making and knowledge construction via constructivist learning paradigmJianyong Xue, Raphaël Lallement, Matteo Morelli. 137-143 [doi]
• Explainable Anomaly Detection: Counterfactual driven What-If AnalysisLogan Cummins, Alexander Sommers, Sudip Mittal, Shahram Rahimi 0001, Maria Seale, Joseph Jabour 0001, Thomas Arnold. 144-151 [doi]
• Fair Evaluator: An Adversarial Debiasing-based Deep Learning Framework in Student AdmissionsAmisha Priyadarshini, Sergio Gago Masagué. 152-161 [doi]
• Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress AssessmentJinwen Tang, Yi Shang. 162-171 [doi]
• Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling SystemsXian Yeow Lee, Haiyan Wang 0003, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta 0001. 172-181 [doi]
• Optimizing Human-Robot Collaboration in Industry 5.0: A Comparative Study of Communication Mediums and Their Impact on Worker Well-being and ProductivityBsher Karbouj, Per Sören Tobias Schuster, Moritz Blumhagen, Jörg Krüger. 182-188 [doi]
• Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory PredictionGawon Lee, Dohee Kim, Segil Park, Sung-Hyun Sim, Ling Liu 0001, Hyerim Bae. 189-196 [doi]
• Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language ModelsBohan Jiang, Chengshuai Zhao, Zhen Tan 0001, Huan Liu 0001. 197-206 [doi]
• Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative StoriesJinwen Tang, Qiming Guo, Yunxin Zhao, Yi Shang. 207-216 [doi]
• Cognitive Chunks, Neural Engrams and Natural Concepts: Bridging the Gap between Connectionism and SymbolismDmitry Bennett, Fernand Gobet. 217-225 [doi]
• Evolving Cognitive Models: A Novel Approach to Verbal LearningNoman Javed, Dmitry Bennett, Laura K. Bartlett, Peter C. R. Lane, Fernand Gobet. 226-233 [doi]
• Enhanced Model Robustness by Integrated Local and Global ProcessingLongwei Wang, Aashish Ghimire, Kc Santosh. 234-239 [doi]
• Dynamic Network Analysis of Cognitive Attacks Using Meta-Network Modeling and Community Detection AlgorithmsAbdullah Bani Melhem, Zain A. Halloush, Ahmed AlEroud. 240-246 [doi]
• EMDA-Net: Earth Mover's Distance (EMD) influenced Attention-aided Neural Network for Medical Image ClassificationSurya Majumder, Kushaj Mallick, Wrick Pal, Somenath Chakraborty, Ram Sarkar. 247-256 [doi]
• How We Browse: Measurement and Analysis of Browsing BehaviorYuliia Lut, Michael Wang, Elissa M. Redmiles, Rachel Cummings. 257-264 [doi]
• Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and MedicineBahadir Eryilmaz, Osman Alperen Koras, Jörg Schlötterer, Christin Seifert. 265-274 [doi]
• Computational Scientific Discovery in Cognitive SciencePeter C. R. Lane, Fernand Gobet. 275-277 [doi]
• Effective Diversity Optimizations for High Accuracy Deep EnsemblesHongpeng Jin, Maryam Akhavan Aghdam, Sai Nath Chowdary Medikonduru, Wenqi Wei, Xuyu Wang, Wenbin Zhang 0002, Yanzhao Wu 0001. 278-287 [doi]
• Harnessing Deep Learning for Fault Detection in Industry 4.0: A Multimodal ApproachJialie Shen 0001, Marie Morrison, Haiyan Miao, Fengshou Gu. 288-294 [doi]