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Proceedings
COGMI
COGMI 2024
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2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI)
Oct. 28 2024 to Oct. 31 2024
Washington, DC, USA
ISBN: 979-8-3503-8672-1
Table of Contents
Title Page I
Freely available from IEEE.
pp. 1-1
Title Page III
Freely available from IEEE.
pp. 3-3
Copyright
Freely available from IEEE.
pp. 4-4
Table of Contents
Freely available from IEEE.
pp. 5-9
Message from the General Chairs and PC Chairs
Freely available from IEEE.
pp. 10-11
Steering Committee
Freely available from IEEE.
pp. 12-12
Organizing Committee
Freely available from IEEE.
pp. 13-13
Technical Program Committee
Freely available from IEEE.
pp. 14-14
Keynotes
Freely available from IEEE.
pp. 15-16
Plenary Panel
Freely available from IEEE.
pp. 17-21
State-Of-The-Art and Challenges in Causal Inference on Graphs: Confounders and Interferences
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pp. 1-13
by
Jingyuan Chou
,
Jiangzhuo Chen
,
Madhav Marathe
Causal Inductive Biases for Cognitive Machine Learning
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pp. 14-16
by
Saketh Vishnubhatla
,
Adrienne Raglin
,
Raha Moraffah
,
Huan Liu
Causal Intervention and Semantic Knowledge for Object Relationships
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pp. 17-22
by
Ayron Fears
,
Adrienne Raglin
,
Anjon Basak
The Case for Micro Foundation Models to Support Robust Edge Intelligence
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pp. 23-31
by
Tomoyoshi Kimura
,
Ashitabh Misra
,
Yizhuo Chen
,
Denizhan Kara
,
Jinyang Li
,
Tianshi Wang
,
Ruijie Wang
,
Joydeep Bhattacharyya
,
Jae Kim
,
Prashant Shenoy
,
Mani Srivastava
,
Maggie Wigness
,
Tarek Abdelzaher
Enhancing Federated Learning Security: Combating Clients’ Data Poisoning with Classifier Ensembles
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pp. 32-39
by
Arunava Roy
,
Dipankar Dasgupta
Optimized Machine Learning Based Multimodal UAV Detection Using Ensemble Stacking
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pp. 40-49
by
James McCoy
,
Danda B Rawat
Using Automated Core and Spurious Features Detection in Scene Recognition to Explain Computer Vision Model
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pp. 50-55
by
Anjon Basak
,
Adrienne Raglin
Towards Effective Authorship Attribution: Integrating Class-Incremental Learning
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pp. 56-65
by
Mostafa Rahgouy
,
Hamed Babaei Giglou
,
Mehnaz Tabassum
,
Dongji Feng
,
Amit Das
,
Taher Rahgooy
,
Gerry Dozier
,
Cheryl D. Seals
Automated Framework for Groundwater Monitoring Using DWT with LSTM and Transformers
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pp. 66-74
by
Mrunmayee Dhapre
,
Jehanzeb Khan
,
Youngsoo Kim
,
Thomas Danielson
,
Shrikant Jadhav
Data-Driven Vulnerable Community Identification During Compound Disasters
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pp. 75-84
by
Jainil Anilkumar Patel
,
Mohammadreza Akbari Lor
,
Shu-Ching Chen
,
Mei-Ling Shyu
,
Steven Luis
Overcoming Trust and Incentive Barriers in Decentralized AI
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pp. 85-94
by
Abhishek Singh
,
Charles Lu
,
Ramesh Raskar
MimicAI: An LLM based system that mimics and explains
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pp. 95-102
by
Upendra Sharma
,
Sriya Ayachitula
Open Human-Robot Collaboration Systems (OHRCS): A Research Perspective
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pp. 103-110
by
Prasanth Sengadu Suresh
,
Diego Romeres
,
Prashant Doshi
,
Siddarth Jain
A Study of Response Time Instability of Microservices at High Resource Utilization in the Cloud
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pp. 111-116
by
Qingyang Wang
,
Xuhang Gu
,
Calton Pu
A Graph-based Approach to Human Activity Recognition
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pp. 117-126
by
Thomas Peroutka
,
Ilir Murturi
,
Praveen Kumar Donta
,
Schahram Dustdar
Trust and Collaboration Testing in Controlled Human-Robot Environments
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pp. 127-136
by
John Frericks
,
Brandon Kang
,
Neal Outland
,
Prashant Doshi
,
Kyle Johnsen
,
Aaron Schecter
Sense-making and knowledge construction via constructivist learning paradigm
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pp. 137-143
by
Jianyong Xue
,
Raphaël Lallement
,
Matteo Morelli
Explainable Anomaly Detection: Counterfactual driven What-If Analysis
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pp. 144-151
by
Logan Cummins
,
Alexander Sommers
,
Sudip Mittal
,
Shahram Rahimi
,
Maria Seale
,
Joseph Jabour
,
Thomas Arnold
Fair Evaluator: An Adversarial Debiasing-based Deep Learning Framework in Student Admissions
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pp. 152-161
by
Amisha Priyadarshini
,
Sergio Gago-Masague
Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment
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pp. 162-171
by
Jinwen Tang
,
Yi Shang
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
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pp. 172-181
by
Xian Yeow Lee
,
Haiyan Wang
,
Daisuke Katsumata
,
Takaharu Matsui
,
Chetan Gupta
Optimizing Human-Robot Collaboration in Industry 5.0: A Comparative Study of Communication Mediums and Their Impact on Worker Well-being and Productivity
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pp. 182-188
by
Bsher Karbouj
,
Per Sören Tobias Schuster
,
Moritz Blumhagen
,
Jörg Krüger
Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory Prediction
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pp. 189-196
by
Gawon Lee
,
Dohee Kim
,
Segil Park
,
Sunghyun Sim
,
Ling Liu
,
Hyerim Bae
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
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pp. 197-206
by
Bohan Jiang
,
Chengshuai Zhao
,
Zhen Tan
,
Huan Liu
Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories
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pp. 207-216
by
Jinwen Tang
,
Qiming Guo
,
Yunxin Zhao
,
Yi Shang
Cognitive Chunks, Neural Engrams and Natural Concepts: Bridging the Gap between Connectionism and Symbolism
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pp. 217-225
by
Dmitry Bennett
,
Fernand Gobet
Evolving Cognitive Models: A Novel Approach to Verbal Learning
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pp. 226-233
by
Noman Javed
,
Dmitry Bennett
,
Laura K. Bartlett
,
Peter C. R. Lane
,
Fernand Gobet
Enhanced Model Robustness by Integrated Local and Global Processing
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pp. 234-239
by
Longwei Wang
,
Aashish Ghimire
,
Kc Santosh
Dynamic Network Analysis of Cognitive Attacks Using Meta-Network Modeling and Community Detection Algorithms
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pp. 240-246
by
Abdullah Melhem
,
Zain Halloush
,
Ahmed Aleroud
EMDA-Net: Earth Mover’s Distance (EMD) influenced Attention-aided Neural Network for Medical Image Classification
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pp. 247-256
by
Surya Majumder
,
Kushaj Mallick
,
Wrick Pal
,
Somenath Chakraborty
,
Ram Sarkar
How We Browse: Measurement and Analysis of Browsing Behavior
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pp. 257-264
by
Yuliia Lut
,
Michael Wang
,
Elissa M. Redmiles
,
Rachel Cummings
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine
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pp. 265-274
by
Bahadır Eryılmaz
,
Osman Alperen Koraş
,
Jörg Schlötterer
,
Christin Seifert
Computational Scientific Discovery in Cognitive Science
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pp. 275-277
by
Peter C. R. Lane
,
Fernand Gobet
Effective Diversity Optimizations for High Accuracy Deep Ensembles
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pp. 278-287
by
Hongpeng Jin
,
Maryam Akhavan Aghdam
,
Sai Nath Chowdary Medikonduru
,
Wenqi Wei
,
Xuyu Wang
,
Wenbin Zhang
,
Yanzhao Wu
Harnessing Deep Learning for Fault Detection in Industry 4.0: A Multimodal Approach
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pp. 288-294
by
Jialie Shen
,
Marie Morrison
,
Haiyan Miao
,
Fengshou Gu
Author Index
Freely available from IEEE.
pp. 295-296
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