AAAI

HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting

Shouwei Gao, Meiyan Gao, Yuepeng Li, Wenqian Dong

Comments Accepted by AAAI 2025 Spring Symposium

How Influencers and Multipliers Drive Polarization and Issue Alignment on Twitter/X

Armin Pournaki, Felix Gaisbauer, Eckehard Olbrich

Comments To appear in the Proceedings of the AAAI International Conference on Web and Social Media (ICWSM) 2025

Are Large Language Models Good at Detecting Propaganda?

Julia Jose, Rachel Greenstadt

Journal ref Workshop Proceedings of the 18th International AAAI Conference on Web and Social Media (5th International Workshop on Cyber Social Threats, CySoc 2024). AAAI Press

AoP-SAM: Automation of Prompts for Efficient Segmentation

Yi Chen, Mu-Young Son, Chuanbo Hua, Joo-Young Kim

Comments Accepted at AAAI 2025

Foundation Models for AI-Enabled Biological Design

Asher Moldwin, Amarda Shehu

机构 * Asher Moldwin（1 阿什尔·莫尔德温） ； Amarda Shehu（1 阿玛尔达·谢胡） 纠错

Comments Published as part of the workshop proceedings at AAAI 2025 in the workshop "Foundation Models for Biological Discoveries"

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time

Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu

Journal ref 2024 Proceedings of the AAAI Conference on Artificial Intelligence

A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification

Xiangci Li, Gully Burns, Nanyun Peng

Comments 5 pages; The AAAI-21 Workshop on Scientific Document Understanding

Partisan Fact-Checkers' Warnings Can Effectively Correct Individuals' Misbeliefs About Political Misinformation

Sian Lee, Haeseung Seo, Aiping Xiong, Dongwon Lee

Comments To appear in International AAAI Conference on Web and Social Media (ICWSM) 2025

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning

Lili Zhang, Quanyan Zhu, Herman Ray, Ying Xie

机构 * Hewlett Packard Enterprise（惠普企业公司） ； New York University（纽约大学） ； Kennesaw State University（肯纳邦斯州立大学） 纠错

Comments Accepted by "Combining AI and OR/MS for Better Trustworthy Decision Making" Bridge Program co-organized by AAAI and INFORMS as poster and demo

Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows

Liam A. Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer

Comments Accepted at AAAI 2025

Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance

Franck Michel, Fabien Gandon

Journal ref 7th AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024), AAAI/ACM, Oct 2024, San Jose (CA), United States

Data Ethics in the Fediverse: Analyzing the Role of Instance Policies in Mastodon Research

Mareike Lisker, Helena Mihaljević

Comments 19th International AAAI Conference on Web and Social Media ICWSM 2025, Next-Gen and Alternative Social Media workshop, 8 pages, 1 figure

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli

机构 * University of Genoa（热那亚大学） ； University of Cagliari（卡利阿里大学） 纠错

Comments Paper accepted at AAAI2025. Project page and leaderboard: https://attackbench.github.io

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 39(3), 2600-2608. 2025

Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization

Ahmed Qazi, Hamd Jalil, Asim Iqbal

Comments 12 pages, 8 figures, 1 table

Journal ref In Proceedings of the AAAI Conference on Artificial Intelligence. 2025

NeuRN: Neuro-inspired Domain Generalization for Image Classification

Hamd Jalil, Ahmed Qazi, Asim Iqbal

Comments 14 pages, 7 figures, 1 table

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 2025

MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge

Maxwell J. Yin, Boyu Wang, Charles Ling

Journal ref AAAI 2025, 39(24):25724-25732

TODS: An Automated Time Series Outlier Detection System

Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Mingyang Wan, Diego Martinez, Xia Hu

Comments Accepted by AAAI'21 demo track

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling

Vahid Rahimzadeh, Ali Hamzehpour, Azadeh Shakery, Masoud Asadpour

Comments Accepted at MisD @ AAAI ICWSM 2025

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

Zhensheng Wang, Wenmian Yang, Kun Zhou, Yiquan Zhang, Weijia Jia

Comments This paper is accepted by AAAI 2025

Generalizable Sleep Staging via Multi-Level Domain Alignment

Jiquan Wang, Sha Zhao, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan

Comments Accepted by the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24)

Generalized Class Discovery in Instance Segmentation

Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang

Comments AAAI 2025

UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections

Fatima Haouari, Carolina Scarton, Nicolò Faggiani, Nikolaos Nikolaidis, Bonka Kotseva, Ibrahim Abu Farha, Jens Linge, Kalina Bontcheva

Comments This work was accepted at the International AAAI Conference on Web and Social Media (ICWSM 2025)

Estimating Causal Effects in Networks with Cluster-Based Bandits

Ahmed Sayeed Faruk, Jason Sulskis, Elena Zheleva

Comments Presented at the AAAI 2022 Workshop on Artificial Intelligence for Behavioral Change (AI4BC)

Unravelling Expressive Delegations: Complexity and Normative Analysis

Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind

Comments Appeared in AAAI'24; fixed typos and acknowledgments

FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting

Yulong Wang, Yushuo Liu, Xiaoyi Duan, Kai Wang

Comments Accepted to AAAI 2025

OAC: Output-adaptive Calibration for Accurate Post-training Quantization

Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad, Lu Hou, Boxing Chen, Masoud Asgharian, Vahid Partovi Nia

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） ； Department of Mathematics and Statistics, McGill University（麦吉尔大学数学与统计学系） 纠错

Comments 22 pages, 4 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2025

Multi-Scale Graph Learning for Anti-Sparse Downscaling

Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia

Comments AAAI-25, Multi-scale deep learning approach for spatial downscaling of geospatial data with sparse observations

Journal ref AAAI-25, pages 27969-27977, 2025

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode, Bruno Lepri, Giovanni Iacca

Comments To be published in the Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection

Paloma Piot, Patricia Martín-Rodilla, Javier Parapar

机构 * Paloma Piot ； Patricia Martín-Rodilla ； Javier Parapar 纠错

Journal ref Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 2025-2039

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies

Shubham Gandhi, Dhruv Shah, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

Journal ref AI4Research Workshop @ AAAI 2025