LFDNN: A Novel Hybrid Recommendation Model Based on DeepFM and LightGBM by Houchou Han, Yanchun Liang, Gábor Bella, Fausto Giunchiglia, Dalin Li

“…In this paper, in order to learn higher-order feature interactions more efficiently and to distinguish the importance of different feature interactions better on the prediction results of recommendation algorithms, we propose a light and FM deep neural network (LFDNN), a hybrid recommendation model including four modules. …”
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Explainable ML models for a deeper insight on treatment decision for localized prostate cancer by Jang Hee Han, Sungyup Lee, Byounghwa Lee, Ock-kee Baek, Samuel L. Washington, Annika Herlemann, Peter E. Lonergan, Peter R. Carroll, Chang Wook Jeong, Matthew R. Cooperberg

“…Using a large population-based real-world database, we unraveled the complex decision-making process and visualized nonlinear feature interactions in localized PCa.…”
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S<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>MoINet: Spectral&#x2013;Spatial Multiorder Interactions Network for Hyperspectral Image Classification by Yanan Jiang, Heng Zhou, Zitong Zhang, Chunlei Zhang, Kai Zhang

“…Despite their effectiveness, the existing deep learning models for HSI classification often overlook high-order feature interactions, resulting in suboptimal performance. …”
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Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization by Yu Geng, Liang Lan, William K. Cheung

“…Factorization Machines (FM) is a general predictor that can efficiently model feature interactions in linear time, and thus has been broadly used for regression, classification and ranking tasks. …”
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Poverty reduction in Africa by Collier, P

“…It argues that the reasons lie not in African peculiarities but rather in geographic features which globally cause problems but which are disproportionately pronounced in Africa. These features interact to create three distinct challenges that are likely to require international interventions beyond the conventional reliance upon aid.…”

Poverty reduction in Africa by Collier, P

“…It argues that the reasons lie not in African peculiarities but rather in geographic features which globally cause problems but which are disproportionately pronounced in Africa. These features interact to create three distinct challenges that are likely to require international interventions beyond the conventional reliance upon aid.…”

Deep Encoder Cross Network for Estimated Time of Arrival by Kai-Fung Chu, Albert Y. S. Lam, Ka Ho Tsoi, Zhiran Huang, Becky P. Y. Loo

“…First, a deep neural network is responsible for modeling explicit feature interactions. Second, an encoder network is constructed to reduce the input feature dimensionality. …”
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CsAGP: Detecting Alzheimer's disease from multimodal images via dual-transformer with cross-attention and graph pooling by Chaosheng Tang, Mingyang Wei, Junding Sun, Shuihua Wang, Yudong Zhang

“…However, a major problem of these studies is overlooking the low-level feature interactions between modalities in the feature extraction stage, resulting in suboptimal performance in AD diagnosis. …”
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THE NATURAL DYES EXTRACTED IN SÃO JOÃO DE CÔRTES, ALCÂNTARA, MARANHÃO: AN APPROACH ORIENTED TO SUSTAINABLE DESIGN<p>Os Corantes Naturais Extraídos em São João de Cortex, Alcantara,... by Cláudia do Rosário Matos Nogueira, Raquel Gomes Noronha, Denilson Moreira Santos

“…As far as methods, there is a description of the traditional techniques used by residents of the said village for the production of natural dyes, forming a qualitative research with an ethnographic approach which features interaction with the community through interviews with indirect questions, footage and photographs. …”
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Verification of Telecommunication Systems Specified by Communicating Finite Automata with the Help of Coloured Petri Nets by D. M. Beloglazov, M. Yu. Mashukov, V. A. Nepomniaschy

“…Application of the ASV tool to ring protocol verification and investigation of feature interactions in telephone networks is described.…”
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IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms by Ruzhang Zhao, Pengyu Hong, Jun S. Liu

“…In addition, our approach provides clear mathematical formulations and explanations to uncover feature interactions, which is often lack in large hypothesis-margin based approaches. …”
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Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing by Barzilay, Regina, Zhang, Yuan

“…However, unlike traditional tensor models, it enables us to incorporate prior knowledge about desired feature interactions, eliminating invalid feature combinations. …”
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Model Compression and AutoML for Efficient Click-Through Rate Prediction by Gschwind, Katharina

“…Furthermore, we present a new compression-based AutoML method for feature set generation in architectures which incorporate explicit feature interactions. This works as a tool to build efficient recommender system models, and is applicable to many state of the art model designs. …”
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The crystal structure of zwitterionic 2-{[(4-iminiumyl- 3-methyl-1,4-dihydropyridin-1-yl)methyl]- carbamoyl}benzoate hemihydrate by C. S., Chidan Kumar, Ai, Jia Sim, Weng, Zhun Ng, Tze, Shyang Chia, Loh, Wan Sin, Huey, Chong Kwong, Ching, Kheng Quah, S., Naveen, N. K., Lokanath, Warad, Ismail

“…The crystal structure also features �–� interactions involving the centroids of the pyridine and phenyl rings [centroid–centroid distances = 3.5618 (12) A ° in A and 3.8182 (14) A ° in B].…”
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Stabilization of discrete time-crystalline response on a superconducting quantum computer by increasing the interaction range by Andrea Solfanelli, Stefano Ruffo, Sauro Succi, Nicolò Defenu

“…We apply this method to simulate a Floquet-driven quantum spin chain featuring interactions beyond nearest neighbors. Specifically, we benchmark the prethermal stabilization of the discrete Floquet time-crystalline response as the interaction range increases, a phenomenon never observed experimentally. …”
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State dependence of fiscal multipliers: the source of fluctuations matters by Ghassibe, M, Zanetti, F

“…We develop a general theory of state-dependent fiscal multipliers in a framework featuring interaction between two empirically relevant goods market frictions: idle productive capacity and unsatisfied demand. …”

Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics by Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Y. Zou

“…Much of the existing interpretability methods used for tabular data only report <i>feature-importance</i> scores—either locally (per example) or globally (per model)—but they do not provide interpretation or visualization of how the features interact. We address this limitation by introducing Feature Vectors, a new global interpretability method designed for tabular datasets. …”
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Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control: Principles and Implementations / by Xun, Xu, editor 496580, Gale Group (Online service) 651863

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Joint analysis of interaction and psychological characteristics in english teaching based on multimodal integration by Chao Li

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Quark/gluon discrimination and top tagging with dual attention transformer by Minxuan He, Daohan Wang

“…Further, we incorporate both the pairwise particle interactions and the pairwise jet feature interactions in the attention mechanism. We demonstrate the effectiveness of the P-DAT architecture in classic top tagging and quark–gluon discrimination tasks, achieving competitive performance compared to other benchmark strategies.…”
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