Expertini Research Research

Browse Research Papers

346,661+ open-access research outputs.

โœ• Clear
๐Ÿ” avoidance learning
Showing 346661 results for "avoidance learning"
Computer Science Preprint PDF DOI

Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion

Xin Song, Kaiyuan Li, Jinxin Hu ยท 2026

Sales promotions, as short-term incentives to stimulate product purchases, play a pivotal role in modern e-commerce marketing strategies. During promotional events, user behavior patterns exhibit distโ€ฆ

Read Paper โ†’
Economics & Finance Preprint PDF DOI

Agentic Artificial Intelligence in Finance: A Comprehensive Survey

Irene Aldridge, Jolie An, Riley Burke, Michael Cao, Chia-Yi Chien, Kexin Deng, Ruipeng Deng, Yichen Gao, Olivia Guo, Shunran He, Zheng Li, George Lin, Weihang Lin, Percy Lyu, Alex Ng, Qi Wang, Hanxi Xiao, Dora Xu, Yuanyuan Xue, Sheng Zhang, Sirui Zhang, Yun Zhang, Sirui Zhao, Xiaolong Zhao, Yihan Zhao, Waner Zheng ยท 2026

The emergence of agentic artificial intelligence (AI) represents a fundamental transformation in financial markets, characterized by autonomous systems capable of reasoning, planning, and adaptive decโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Transferable SCF-Acceleration through Solver-Aligned Initialization Learning

Eike S. Eberhard, Viktor Kotsev, Timm Guthle, Stephan Gunnemann ยท 2026

Machine learning methods that predict initial guesses from molecular geometry can reduce this cost, but matrix-prediction models fail when extrapolating to larger molecules, degrading rather than acceโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Causal Disentanglement for Full-Reference Image Quality Assessment

Zhen Zhang, Jielei Chu, Tian Zhang, Fengmao Lv, Tianrui Li ยท 2026

Existing deep network-based full-reference image quality assessment (FR-IQA) models typically work by performing pairwise comparisons of deep features from the reference and distorted images. In this โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach

Eli Gildish, Michael Grebshtein, Igor Makienko ยท 2026

Denoising of periodic signals and accurate waveform estimation are core tasks across many signal processing domains, including speech, music, medical diagnostics, radio, and sonar. Although deep learnโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning

C. J. R. Murphy-Barltrop, J. Richards, B. Poschlod, A. Sasse, J. Zscheischler ยท 2026

Concurrent floods and concurrent droughts in nearby catchments pose challenges to risk assessment and water management. Climate change is affecting extremely high and low discharge, but the complex inโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation

Yi-Ling Liu, Melvin Laux, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam ยท 2026

Autonomous underwater vehicles are required to perform multiple tasks adaptively and in an explainable manner under dynamic, uncertain conditions and limited sensing, challenges that classical controlโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Causal Discovery in Multivariate Extremes via Tail Asymmetry

Mengran Li, Daniela Castro-Camilo ยท 2026

Causal discovery in multivariate extremes is challenging because extreme observations are sparse, dependent, and often affected by latent common shocks. Existing approaches focus on undirected extremaโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Verifying Machine Learning Interpretability Requirements through Provenance

Lynn Vonderhaar, Juan Couder, Daryela Cisneros, Omar Ochoa ยท 2026

Machine Learning (ML) Engineering is a growing field that necessitates an increase in the rigor of ML development. It draws many ideas from software engineering and more specifically, from requirementโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use

Yuanjie Lyu, Chengyu Wang, Haonan Zheng, Yuanhao Yue, Junbing Yan, Ming Wang, Jun Huang ยท 2026

Modern industrial applications increasingly demand language models that act as agents, capable of multi-step reasoning and tool use in real-world settings. These tasks are typically performed under stโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Generative Learning Enhanced Intelligent Resource Management for Cell-Free Delay Deterministic Communications

Shuangbo Xiong, Cheng Zhang, Wen Wang, Wenwu Yu, Yongming Huang ยท 2026

Cell-free multiple-input multiple-output (CF-MIMO) architecture significantly enhances wireless network performance, offering a promising solution for delay-sensitive applications. This paper investigโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Scalable Multimodal Beam Alignment in V2X: An Anti-Imbalance Graph Learning Approach

Jiahui Liang, Shuoyao Wang, Shijian Gao ยท 2026

Efficient beam alignment is fundamental to high-throughput and reliable connectivity in Vehicle-to-Everything (V2X) systems. However, conventional beam management in dynamic vehicular topologies incurโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

CoFEE: Reasoning Control for LLM-Based Feature Discovery

Maximilian Westermann, Ben Griffin, Aaron Ontoyin Yin, Zakari Salifu, Yagiz Ihlamur, Kelvin Amoaba, Joseph Ternasky, Fuat Alican, Yigit Ihlamur ยท 2026

Feature discovery from complex unstructured data is fundamentally a reasoning problem: it requires identifying abstractions that are predictive of a target outcome while avoiding leakage, proxies, andโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction

Changfan Wang, Xinran Wang, Donghai Liu, Fei Su, Lulu Sun, Zhicheng Zhao, Zhu Meng ยท 2026

Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low-throughput, limiting large-cohort studies and routine clinical use. Predicting spatial gene expressโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Deep kernel video approximation for unsupervised action segmentation

Silvia L. Pintea, Jouke Dijkstra ยท 2026

This work focuses on per-video unsupervised action segmentation, which is of interest to applications where storing large datasets is either not possible, or nor permitted. We propose to segment videoโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization

Nusrat Yasmin Nadia, Md Habibul Arif, Habibor Rahman Rabby, Md Iftekhar Monzur Tanvir, Md. Jakir Hossen, M. F. Mridha ยท 2026

Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain supply, such as textiles and personal protective equipment (PPE). Traditional forecasting โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Finding Meaning in Embeddings: Concept Separation Curves

Paul Keuren, Marc Ponsen, Robert Ayoub Bagheri ยท 2026

Sentence embedding techniques aim to encode key concepts of a sentence's meaning in a vector space. However, the majority of evaluation approaches for sentence embedding quality rely on the use of addโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation

Yan Ning, Xingzhou Chen, Delong Li, Hao Zhang, Hanfu Gai, Tongyuan Li, Cheng Zhang, Zhihui Peng, Ling Shi ยท 2026

Wheel-legged robots combine the efficiency of wheeled locomotion with the versatility of legged systems, enabling rapid traversal over both continuous and discrete terrains. However, conventional desiโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

Laura Valeria Perez-Herrera, M.J. Garcia-Gonzalez, Karen Lopez-Linares ยท 2026

Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indicators of prognosis and can influence treatment decisions. Common deep learning approaches to determโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

A temporal deep learning framework for calibration of low-cost air quality sensors

Arindam Sengupta, Tony Bush, Ben Marner, Jose Miguel Perez, Soledad Le Clainche ยท 2026

Low-cost air quality sensors (LCS) provide a practical alternative to expensive regulatory-grade instruments, making dense urban monitoring networks possible. Yet their adoption is limited by calibratโ€ฆ

Read Paper โ†’
โ† Prev Page 54 of 17334 Next โ†’