Accepted Papers

1. A Knowledge Analysis of an Engineering Application Related to Sustainable Development: Laurent Nana, Jean Vareille, François Monin and Anca Pascu

2. A new MDL-based clustering algorithm: Zdravko Markov

3. A Phased Model Proposal for the Long-Term Institutionalization of Artificial Intelligence Weapon Systems: Ji-Hee Nam and Hun-Yeong Kwon

4. A Review of Recent Advances on Automatic Question Generation for the Portuguese Language: Allan Ehlert, Júlia da Rocha Junqueira, Larissa A. Freitas and Ulisses B. Corrêa

5. Additive Attention Based Deep Learning Models for Accurate and Scalable Fake News Detection: Nadeem Iqbal, Ashfaq Hussain, Salman Khan and Salman Alqahtani

6. Advanced Hybrid RNN Architectures for Real-time Cryptocurrency Forecasting and Strategic Trading Optimization: Shamima Nasrin Tumpa and Kehelwala Dewage Gayan Maduranga

7. AI Governance in Academia: Guidelines for Generative AI: Clayton Peterson and Marie-Catherine Deschênes

8. Aligning LLMs to Improve Specificity of Preventive Action Recommendations for Industrial Safety: Siddharth Tumre, Sumit Koundanya, Shubham Kumbhar and Sangameshwar Patil

9. An Efficient Text Analysis Tool for Streamlining Literature Reviews: Oliver Bonham-Carter

10. An Intention-Aware Agent Framework for Multi-Agent Decentralized Partially Observable Environments: Bhaskar Chandra Trivedi and Manfred Huber

11. Analysing Routes Generated by Planning-based Centralised Traffic Routing: Andrii Nyporko, Lukáš Chrpa and Matyáš Švadlenka

12. Analysis of Propaganda in Tweets From Politically Biased Sources: Vivek Sharma, Mohammad Mahdi Shokri, Shweta Jain, Sarah Levitan and Elena Filatova

13. Automated Planning for Urban Traffic Control with LLM-Generated Configurations: Francesco Percassi and Mauro Vallati

14. Benchmarking QCi’s EmuCore Device for Time Series Forecasting: Babak Emami, Prajnesh Kumar, Wesley Dyk, Akila Ganlath and Rohit Gupta

15. Best Practices for AI Use in Higher Education: Insights from Graduate Programs in the Midwest: Luis Orozco

16. Biasing Exploration towards Positive Error for Efficient Reinforcement Learning: Adam Parker and John Sheppard

17. Bounded Degradation in Latent Representation Under Bias Subspace Removal: Md Nur Amin, Phil Nemeth and Alexander Jesser

18. Can Language Models Improve the Performance of SVD-based Recommender Systems?: Aaron Goldstein and Ayan Dutta

19. Challenges in Imputation of ICU Time-Series Data: A Comparison of Classical and Machine Learning Approaches: Favio Salinas, Marvin Agristean, Sobhan Moazemi, Steven Kessler, Bastian Dewitz, Falko Schmid, Hug Aubin and Artur.Lichtenberg Lichtenberg

20. Classifying the Emotional Polarity of Digital Communications Using Large Language Models: Vincent Qin

21. Context is Key: Aligning Large Language Models with Human Moral Judgments through Retrieval-Augmented Generation: Matthew Boraske and Richard Burns

22. Convolutional Swin Encoder: A Unified Deep Learning Approach to Writer Attribute Prediction: Aditya Majithia, Arthur Paul Pedersen and Michael Grossberg

23. Creating Domain-Specific Datasets for Intelligent Environmental Feature Comparison: Nathan Cherry, Ziad Kobti and Chris Houser

24. CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models: Zag Elsayed, Ahmed Abdelgawad and Nelly Elsayed

25. Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training: Kehelwala Dewage Gayan Maduranga

26. DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing: David Ludwig and Joshua Phillips

27. Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games: Sam Ganzfried

28. Enhanced Feature Selectivity in MobileNetV2 for Skin Cancer Detection through Scaled Dot-Product Attention: Omar Gasmann and Nazmul Shahadat

29. Enhancing Expressiveness in Vocal Conversational Agents through Large Language Model-Generated Speech Synthesis Markup Language: Joseph Salisbury

30. Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions: Adam Rawashdeh, Jason T. L. Wang and Katherine G. Herbert

31. Exploring Requirements Engineering for Machine Learning via a Product Case Study: Lynn Vonderhaar, Timothy Elvira, Juan Couder and Omar Ochoa

32. Exploring Solar Granulation: from IMaX/SUNRISE to DKIST: Reza Mansouri, Rafal Angryk and Kevin Reardon

33. Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs: Gabriel Freedman and Francesca Toni

34. Exploring the Structure of AI-Induced Language Change in Scientific English: Riley Galpin, Bryce Anderson and Tom S Juzek

35. Flexible Dirichlet Mixture Model for Multi-modal data Clustering: Seung Hyun Hong, Fatma Najar, Manar Amayri and Nizar Bouguila

36. From KL Divergence to Wasserstein Distance: Enhancing Autoencoders with FID Analysis: Laxmi Kanta Poudel, Kshtiz Aryal, Rajendra Bahadur Thapa and Sushil Poudel

37. FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs: Ayesha Dina, Colby Edell, Karim Elish and Arijet Sarker

38. Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach: Kuo Deng, Xiaomeng Ye, Kun Wang, Angelina Pennino and Abigail Jarvis

39. Generating Distractors for Code Completion Problems: Can LLM Assist Instructors?: Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromir Savelka and Peter Brusilovsky

40. Generative AI for Named Entity Recognition in Low-Resource Language Nepali: Sameer Neupane, Jeevan Chapagain, Nobal B. Niraula and Diwa Koirala

41. Generative Models for Multiple-Choice Question Answering in Portuguese: A Monolingual and Multilingual Experimental Study: Guilherme Lima, Emerson Lopes, Henry Pereira, Marilia Silveira, Larissa Freitas and Ulisses Corrêa

42. Hierarchical plan repair via plan recognition and plan correction: Kristýna Pantůčková and Roman Barták

43. How to Ask the ‘Right’ Questions about Artificial Intelligence in Social Sciences Research? Human-Centered AI as a Problem and as a Solution.: Andrey Rezaev

44. Identifying Developmental Intellectual Disability as a SUDEP Risk Marker from Epilepsy Monitoring Unit Reports Using Large Language Models: Ran Hu, Rashmie Abeysinghe, Gorbachev Jowah, Shiqiang Tao, Samden D. Lhatoo, Guo-Qiang Zhang and Licong Cui

45. Impact of Artificial Intelligence on Open-Source Software Development: Jeremy Clark, Vinod Ahuja and Joshua Wurtenberg

46. Improving Multi-hop Logical Reasoning in Small LMs with LoRA Training: Onur Bilgin, Abdullah As Sami, Suraj Kumar and John Licato

47. Improving Neural Network Computational Efficiency Using Piecewise Linear Approximation of Activation Functions: Pavan Reddy and Aditya Gujral

48. In Search of a Lightweight "Good Enough" Offline Generative AI for Mobile Robots: Performance Benchmarking: Yegin Genc, Gonca Altuger-Genc and Akin Tatoglu

49. Incorporating Wave-ViT for Breast Cancer Diagnosis Using MRI Imaging: Sahil Mahey and Hamid Usefi

50. Integrated Use of System Z for Preferred Answer Set Programming: Marco Wilhelm, Andre Thevapalan and Gabriele Kern-Isberner

51. Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI: Amir Toliyat, Ronak Etemadpour and Elena Filatova

52. Kernel Density Based Spatial Clustering of Applications with Noise: Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha and Sung-Hyuk Cha

53. Kernel Density Estimated Linear Regression: Roshan Kalpavruksha, Rohan Kalpavruksha, Teryn Cha and Sung-Hyuk Cha

54. Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities using N-Shot Learning: Ayesha Dina, Elijah Needham and Denis Ulybyshev

55. Large Language Models for Automated Grading and Synthetic Data Generation in Communication-Based Training Assessment: Joseph Salisbury and David Huberdeau

56. Leveraging faithfulness in Abstractive Text Summarization with EDUs: Yllias Chali and Narjes Delpisheh

57. Localizing Adversarial Attacks To Produces More Imperceptible Noise: Pavan Reddy and Aditya Gujral

58. Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data: Katherine Phillips and Doug Talbert

59. Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count: Franz Baader and Anton Claußnitzer

60. Measuring Interpretability: A systematic literature review of interpretability measures in AI: Prateek Goel and Rosina Weber

61. Measuring the Impact of Scene Level Objects: A Novel Method for Quantitative Explanations: Lynn Vonderhaar, Timothy Elvira and Omar Ochoa

62. Medical Specialty Classification Using Large Language Models (LLMs): Surya Kathirvel and Lenin Mookiah

63. Modeling and Discovering Direct Causes for Predictive Models: Yizuo Chen and Amit Bhatia

64. Modeling and Mitigating Gender Bias in Matching Problems: A Simulation-Based Approach with Quota Constraints: Florian Wilhelm and Anja Pilz

65. Next Sentence Prediction with BERT as a Dynamic Chunking Mechanism for Retrieval-Augmented Generation Systems: Alexandre Thurow Bender, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa and Ricardo Matsumura Araujo

66. Nonparametric Strategy Test: Sam Ganzfried

67. On Removing Left Recursion from Totally-ordered HTN Domain Models: Simona Ondrčková, Roman Barták and Vladislav Kubon

68. On the Varieties of Fractal Geometry of Word Embeddings: Anurag Naren Kallakunta and Wlodek Zadrozny

69. Proof Verification with GDV and LambdaPi - It's a Matter of Trust: Geoff Sutcliffe, Frédéric Blanqui and Guillaume Burel

70. Replicating Human Perception of Proximity: Applying Neural Networks in the Monitoring of Suspicious Air Activities in Amazon: Gabriel Dietzsch and Elcio H. Shiguemori

71. RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection: Aaron Alex Philip and Ziad Kobti

72. SelfCode 2.0: An Annotated Corpus of Student and Expert Line-by-Line Explanations for Automated Assessment of Code Comprehension: Jeevan Chapagain, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Peter Brusilovsky and Vasile Rus

73. Sentiment Polarity as a Stylistic Feature for Attribution of English Prose: Lubomir Ivanov

74. Spatial and Channel Attention Integration with Separable Squeeze and Excitation Networks: Nazmul Shahadat, Shleshma Regmi and Anup Rijal

75. State of the Art in “AI and Democracy” Research:: Bridging Academia Interests & Public Concerns: Dmitry Zaytsev and Valentina Kuskova

76. Technical Customer Service Support with RAG Fine Tunned Llama 3: Jose Della Sala

77. The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection: Mahammed Kamruzzaman and Gene Kim

78. Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting: Victor Solomon, Rafal Angryk, Omkar Rayala, Manya Rampuria, Abdul Afrid and Junzhi Wen

79. Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights: David Masterson and Andreas Marpaung

80. Towards the Application of GraphRAG to Network Security: Marco Carvalho, Fitzroy Nembhard and Dhanish Mehta

81. Towards Trustworthy AI: Analyzing Model Uncertainty through MC Dropout and Noise Injection: Chern Chao Tai, Abhijeet Solanki, Wesam Al Amiri, Douglas A. Talbert, Terry N. Guo and Syed Rafay Hasan

82. Usability and Preferences for a Personalized Adaptive Learning System for AI Upskilling: Mark G. Core, Benjamin Nye, Kayla Carr, Shirley Li, Aaron Shiel, Daniel Auerbach, Andrew Leeds and William Swartout

Accepted Posters

TBA