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ORCID7th CogMI 2025: Pittsburgh, PA, USA
- 7th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2025, Pittsburgh, PA, USA, November 12-14, 2025. IEEE 2025, ISBN 979-8-3315-9205-9
- Yasas Senarath, Hemant Purohit:
Knowledge-guided Continual Learning for Behavioral Analytics Systems. 1-11 - Hadel Alhawasi, Ruocheng Shan, Abdou Youssef:
An Iterative Multi-Agent Analysis for Automated Evaluation in NLG Tasks. 12-23 - Akhil Gupta Chigullapally, Ram Dantu, Shakila Zaman, Apurba Pokharel:
Next-Gen Theorem Proving: A Multi-Agent Paradigm for Automated Reasoning. 24-34 - Carlos Olea, Allen Karns, Jules White:
Assessing LLM Reasoning with Subtask Variation: Chess and DREAMS. 35-42 - Faizan Rasheed, Daniel Polani, Kenzo Clauw, Nicola Catenacci Volpi:
Object Empowerment-Driven Tool Selection in Reinforcement Learning. 43-52 - Trenton W. Ruf, Banafsheh Rekabdar:
Online Decision Mamba. 53-65 - Paras Jain, Khushi Dhar, Olyemi E. Amujo, Esa M. Rantanen:
Evaluating Human and Machine Confidence in Phishing Email Detection: A Comparative Study. 66-74 - Ci Lin, Tet Hin Yeap, Iluju Kiringa, Biwei Zhang:
Restricted Hopfield Networks are Resilient to Adversarial Perturbations. 75-85 - Kiana Katouzian, Ahmad Patooghy:
Edge-Optimized Privacy: Synthetic Data Generation Using Hybrid SMOTE & Autoencoder. 86-92 - Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast:
RL-MoE: An Image-Based Privacy Preserving Approach In Intelligent Transportation System. 93-102 - Mostafa Rahgouy, Mehnaz Tabassum, Dongji Feng, Gerry V. Dozier, Cheryl D. Seals:
Deep Metric Stylometry: Learning Author Signatures from Style and Semantics. 103-113 - Christin J. Salley, Daehwan Yoo, Michelle Chatell, Sabine Loos, Stacey Hall, Lu Wang:
AI for Supporting Dispatchers' Mental Health: Proof-of-Concept for Stress Detection Based on Emotional State. 114-126 - Vishakha Lall
, Yisi Liu:
Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech. 127-133 - Rishab Darshan Shylendra, Pavithran Gnanasekaran, Piyush Gulhane, Alina Vereshchaka:
Self-Supervised MRI Representation Learning for Cross-Domain Brain Diseases Classification. 134-144 - Richard Feng:
ELM: Leveraging Large Language Models for Reliable Emotion Recognition. 145-154 - Mahima Chaudhary, Sumona Mukhopadhyay, Meaghan S. Adams, Lauren E. Sergio, Marin Litoiu:
Transfer Learning based Cognitive Load Monitoring from Cognitive Motor Integration (CMI): An ML-IoT Framework. 155-164 - Alex Metzger, Ram Dantu, Alexis Blackwell, Thomas McCullough:
Dependence Minimization for Multi-Label Classification: An Alternative to Human Labeling. 165-175 - Misbah Ul Hoque, Kisung Lee:
SentiGAT: Enhancing Multimodal Sentiment Analysis via Graph Attention Network-Based Feature Fusion and Alignment. 176-186 - Kuheli Sai, Minh Nguyen, Deepti Gupta, Quang Thinh-Bui:
Cross-Country Analysis of Discourse on Misinformation in the Digital Platform Using Topic Modeling. 187-196 - Bharat Chaturvedi:
Cognitive Data Architecture for Financial Services: A Benchmark-Driven Framework for Real-Time, AI-Enabled Compliance and Risk Management. 197-204 - Ziba Khani, Reza Mansouri, Berkay Aydin:
Towards Multimodal Solar Flare Prediction Using Magnetic Polarity Inversion Lines. 205-212 - Dylan Wright, Vineetha Menon:
Explaining at the Speed of Sight: Attention-Aware XAI for OODA-Inspired AI Design. 213-222 - Naeem Ul Islam, Hung Phan Quoc Mai, Ying-Jen Chen:
MEAT: Mixture of Experts in Action Transformer for Robotic Arm Control. 223-234 - Bahareh Golchin, Banafsheh Rekabdar:
Dynamic Reward Scaling for Multivariate Time Series Anomaly Detection: A VAE-Enhanced Reinforcement Learning Approach. 235-243 - Hanav Modasiya:
Enabling Lifelong Learning in AI with Biologically-inspired Neural Networks Based on Short-Term, Working, and Long-Term Memory. 244-252 - Shawn Ismail, Ramazan Aygun:
Emergent Biases in Large Language Models: A Critical Review of Taxonomy and Evaluations. 253-262 - Ahmad Alomari, Sathish A. P. Kumar:
Quantum Clustering for Cognitive Intelligence: Methods, Applications and Challenges. 263-271 - Ramy Othman, Anisha Mulinti, William O'Donnell, Weitian Wang, Michelle Zhu:
Robust and Efficient Traffic Monitoring System Under Adverse Weather. 272-280 - Alexis Blackwell, Ram Dantu, Alex Metzger, Vinh Quach:
Prompts and Thoughts: Can Your Cyber Curriculum Meet the Job Skills. 281-291 - Jyotiska Bharadwaj, Ayushi Dey, Aditya Bibhas Sahu, Karan Maheshwari, Sanat, Divyashikha Sethia, Sonia Baloni Ray:
Effect of Anxiety Reduction Interventions on Exam Anxiety for Engineering Students Using Physiological Signals. 292-301 - Qiang Chen, Venkatesh Ganapati Hegde:
Where to Explore: A Reach and Cost-Aware Approach for Unbiased Data Collection in Recommender Systems. 302-308 - Ahmad Alomari, Sathish A. P. Kumar:
Hybrid Classical-Quantum Neural Network for Distributed Denial of Service Attacks Detection. 309-316 - Natalie Tirabassi, Sathish A. P. Kumar, Sumit Jha, Arvind Ramanathan:
MORAL: A Multimodal Reinforcement Learning Framework for Cognitive Intelligence in Autonomous Laboratories. 317-325 - Ian Miller, Dan Lin:
Preventing Data Poisoning in Continual Learning for AI Generated Text Detectors. 326-334 - Aayush Gauba:
The Imitation Fallacy: Why Behavioral Equivalence Cannot Verify Artificial Consciousness. 335-340 - Rocker D'Antonio, Harry Xie:
Human-in-the-Loop Runbook Improvement with Agentic Support Automation. 341-351 - Ahmad Alomari, Sathish A. P. Kumar:
Quantum Regression for Cognitive Intelligence in Complex Environments. 352-360 - Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu:
FedHFT: Efficient Federated Fine-tuning with Heterogeneous Edge Clients. 361-370 - Jinyang Li, Herman Wu, Hongjue Zhao, Tomoyoshi Kimura, Denizhan Kara, Tianshi Wang, Yizhuo Chen, Tianchen Wang, Yigong Hu, Ashitabh Misra, Tarek F. Abdelzaher:
Agentic LLM-Assisted Edge AI for CPS/IoT Applications. 371-380 - Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu:
Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. 381-388 - Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei:
Augmenting Question Answering with A Hybrid RAG Approach. 389-398 - Ronald Doku, Nana Yaw A. Osafo, Danda B. Rawat:
GBP-Audit: AI Bias Intervention with Built-In Safety-First Guardrails. 399-408 - Bhavani Thuraisingham:
Revisiting the Inference Problem in Database Security in the Era of Artificial Intelligence. 409-416 - Chalapathy Neti:
Multi-modal, federated AI for cancer prognosis and treatment optimization. 417-422 - Zhen Tan, Huan Liu:
Can We Align LLMs We Don't Understand? A Call for User-Centric Interpretable Alignment. 423-424 - Mahadev Satyanarayanan, Qifei Dong, Jingao Xu, Padmanabhan Pillai:
Towards Mobile AI That Is Accurate and Fast. 425-432 - Andy Sinclair, Preston Billion-Polak, Taghi M. Khoshgoftaar:
Unlocking Machine Learning Insights into a Novel Auto Repossession Dataset. 433-439 - KC Santosh, Rodrigue Rizk, Longwei Wang:
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence. 440-448 - Shwetha Gowdanakatte, Kevin Gonzales Rojas, Hossein Shirazi, Indrakshi Ray:
Automated Threat Emulation Framework with LLMs for Cyber Physical Systems. 449-459 - Akshata Kishore Moharir, Jay Prakash Thakur, Apoorva Phadnis:
A Vision for Data Governance in Multi-Agent Data Processing Systems. 460-467 - Anoop Singhal:
Modeling and Security Analysis of Attacks on Machine Learning Systems. 468-475 - Malak Mahdy, Carlos E. Rubio-Medrano:
Beyond the Chatbox: An Exploratory Case Study of Autonomous Computer-Use Agents. 476-485 - Akshata Kishore Moharir, Jay Prakash Thakur, Aditya Deshpande, Apoorva Phadnis:
A Comparative Survey of Trust-Building Methods in Multi-Agent AI Systems. 486-491 - Yuning Wu, Kai Wei:
Multi-Objective Preference Optimization with Behavioral Hierarchies for Persona-Aware AI. 492-495 - Akshata Kishore Moharir, Jay Prakash Thakur, Aditya Deshpande, Apoorva Phadnis:
Multi-Agent Decision Support for Behavioral Finance: A Position Paper. 496-502 - Saranya Venkatraman, Thanh Tran, Shunyan Luo, Devin Chen, Yuning Wu, Kai Wei:
MobiTwin: Toward Building End-to-End Framework for User's Mobile Twins. 503-506 - Aditi Singh, Abul Ehtesham, Mahesh Lambe, Jared James Grogan, Abhishek Singh, Saket Kumar, Luca Muscariello, Vijoy Pandey, Guillaume Sauvage De Saint Marc, Pradyumna Chari, Ramesh Raskar:
Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches. 507-515
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