An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge by Tundo, Alessandro, Mobilio, Marco, Ilager, Shashikant, Brandic, Ivona, Bartocci, Ezio, Mariani, Leonardo

Demystifying Machine Learning in Artificial Intelligence by Johnson, Jeffrey, Yaffe, Phil, Delic, Kemal, Picton, Phil

Handwritten Odia Digit Recognition using Learning Systems: A Comparison of Neural Networks and Support Vector Machine Models by Sharma, Urva, Bansal, Rajat, Sarangi, Pradeepta Kumar, Gupta, Deepali, Rani, Shalli, Khan, Fazlullah, Srivastava, Gautam

Pursuing Social Good: An Overview of Short- and Long-Term Fairness in Classification by Metevier, Blossom

TransVAE-PAM: A Combined Transformer and DAG-based Approach for Enhanced Fake News Detection in Indian Context by Tufchi, Shivani, Ahmed, Tanveer, Yadav, Ashima, Agrawal, Krishna Kant, Vidyarthi, Ankit

A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models by Zhou, Qilin, Wei, Zhengyuan, Wang, Haipeng, Chan, W.K.

WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning by Wang, Qijing, Wong, Martin D.F.

Fast and Reliable Program Synthesis via User Interaction by Chen, Yanju, Wang, Chenglong, Wang, Xinyu, Bastani, Osbert, Feng, Yu

Topic Modeling based Text Classification Regarding Islamophobia using Word Embedding and Transformers Techniques by Saeed, Ammar, Khan, Hikmat Ullah, Shankar, Achyut, Imran, Talha, Khan, Danish, Kamran, Muhammad, Khan, Muhammad Attique

On the Automation of Code Review Tasks Through Cross-Task Knowledge Distillation by Sghaier, Oussama Ben

A Bayesian Convolutional Neural Network Model with Uncertainty for Multi-label Text Classification on Mechanisms of Action (MoA) Prediction by Tong, Xuming, Zhao, Zhisheng, Liang, Junhua, Ding, Lihua, Jia, Caijun, Yuan, Yanhong

Detecting Fraud in Moroccan E-Commerce Platforms Using an Explainable Deep Learning Model for Arabic Fake Reviews Classification by Dirchaoui, Marouane, Abarda, Abdallah, El Ouardighi, Abdeljalil

Challenges and Methods of Causal Promotions Recommendation in E-commerce by Goldenberg, Dmitri, Livne, Amit, Herrero-Gómez, Carlos, Albert, Javier, Adiv, Itsik, Spivak, Igor, Dach, Ran, Moraes, Felipe, Proença, Hugo Manuel, Shapira, Bracha

Safe, Efficient, and Robust Reinforcement Learning for Ranking and Diffusion Models by Gupta, Shashank

ESRO: Experience Assisted Service Reliability against Outages by Chakraborty, Sarthak, Agarwal, Shubham, Garg, Shaddy, Sethia, Abhimanyu, Pandey, Udit Narayan, Aggarwal, Videh, Saini, Shiv

Code Prediction by Feeding Trees to Transformers by Kim, Seohyun, Zhao, Jinman, Tian, Yuchi, Chandra, Satish

Exploiting learning and scenario-based specification languages for the verification and validation of highly automated driving by Damm, Werner, Galbas, Roland

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Multi-Metric Client Activation Method for Fast and Accurate Federated Learning by Lim, Jihyun, Zhang, Tuo, Lee, Sunwoo

Self-Checking Deep Neural Networks in Deployment by Xiao, Yan, Beschastnikh, Ivan, Rosenblum, David S., Sun, Changsheng, Elbaum, Sebastian, Lin, Yun, Dong, Jin Song

On-the-fly Improving Performance of Deep Code Models via Input Denoising by Tian, Zhao, Chen, Junjie, Zhang, Xiangyu