Title
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review Lingchao Mao Hairong Wang Leland S. Hu Nhan L Tran Peter D Canoll Kristin R Swanson Jing Li 24 6 0 12 Jan 2024
Image classification network enhancement methods based on knowledge injection Yishuang Tian Ning Wang Liang Zhang 20 1 0 09 Jan 2024
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 24 7 0 29 Dec 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 20 1 0 29 Nov 2023
VALUED -- Vision and Logical Understanding Evaluation Dataset Soumadeep Saha Saptarshi Saha Utpal Garain 25 0 0 21 Nov 2023
KnowSafe: Combined Knowledge and Data Driven Hazard Mitigation in Artificial Pancreas Systems Xugui Zhou Maxfield Kouzel Chloe Smith H. Alemzadeh 19 1 0 13 Nov 2023
Quantum Neural Networks for Power Flow Analysis Zeynab Kaseb Matthias Möller G. Balducci Peter Palensky Pedro P. Vergara 15 8 0 04 Nov 2023
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering Trang Nguyen Naoaki Okazaki LRM 33 0 0 09 Oct 2023
Physics Inspired Hybrid Attention for SAR Target Recognition Zhongling Huang Chong Wu Xiwen Yao Zhicheng Zhao Xiankai Huang Junwei Han 29 21 0 27 Sep 2023
Experimental Evidence on Negative Impact of Generative AI on Scientific Learning Outcomes Qirui Ju 19 3 0 23 Sep 2023
A knowledge representation approach for construction contract knowledge modeling Chunmo Zheng Saika Wong Xing Su Yinqiu Tang 24 2 0 21 Sep 2023
A spectrum of physics-informed Gaussian processes for regression in engineering E. Cross T. Rogers D. J. Pitchforth S. Gibson Matthew R. Jones 17 8 0 19 Sep 2023
Representing Timed Automata and Timing Anomalies of Cyber-Physical Production Systems in Knowledge Graphs Tom Westermann Milapji Singh Gill Alexander Fay 11 3 0 25 Aug 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 25 8 0 10 Aug 2023
A 3D deep learning classifier and its explainability when assessing coronary artery disease W. K. Cheung Jeremy M. Kalindjian Robert Bell A. Nair L. Menezes ... R. Torii R. Davies J. Moon Daniel C. Alexander Joseph Jacob MedIm 21 3 0 29 Jul 2023
A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs C. Coelho M. F. P. Costa L. L. Ferrás 16 0 0 27 Jul 2023
Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection Zhenghui Zhao Lixiang Ru Chen Wu 18 6 0 20 Jul 2023
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities Hanchen Yang Wengen Li Shuyu Wang Hui Li Jihong Guan Shuigeng Zhou Jiannong Cao AI4TS 8 0 0 20 Jul 2023
Effective Latent Differential Equation Models via Attention and Multiple Shooting German Abrevaya Mahta Ramezanian-Panahi Jean-Christophe Gagnon-Audet Pablo Polosecki Irina Rish S. Dawson Guillermo Cecchi G. Dumas MedIm 13 1 0 11 Jul 2023
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI D. Kılıç Alex Elkjær Vasegaard Aurélien Desoeuvres Peter Nielsen 20 0 0 10 Jul 2023
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems Amr Gomaa Bilal Mahdy Niko Kleer Michael Feld Frank Kirchner Antonio Krüger 24 5 0 07 Jul 2023
Worth of knowledge in deep learning Hao Xu Yuntian Chen Dong-juan Zhang 13 0 0 03 Jul 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 25 0 0 15 Jun 2023
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders Pedro H. C. Avelar Min-Ying Wu S. Tsoka 8 0 0 09 Jun 2023
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving Ferdinand Mutsch Helen Gremmelmaier Nicolas Becker Daniel Bogdoll M. Zofka J. Marius Zöllner 16 9 0 23 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Convergence and error analysis of PINNs Nathan Doumèche Gérard Biau D. Boyer PINN AI4CE 34 16 0 02 May 2023
TABLET: Learning From Instructions For Tabular Data Dylan Slack Sameer Singh LMTD ALM RALM 15 17 0 25 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 14 7 0 05 Apr 2023
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics Yuhyun Ji Sang Mok Park Semin Kwon J. W. Leem V. V. Nair Y. Tong Young L. Kim 8 13 0 27 Mar 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains M. A. Bashar R. Nayak G. Knapman Paul Turnbull C. Fforde 25 1 0 25 Mar 2023
Knowledge-integrated AutoEncoder Model Teddy Lazebnik Liron Simon Keren 25 5 0 12 Mar 2023
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift Francisco Pérez-Galarce K. Pichara P. Huijse M. Catelán D. Méry 20 0 0 12 Mar 2023
Computing formation enthalpies through an explainable machine learning method: the case of Lanthanide Orthophosphates solid solutions Edoardo Di Napoli Xinzhe Wu Thomas Bornhake P. Kowalski OOD AI4CE 14 1 0 07 Mar 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 27 8 0 19 Feb 2023
GLUECons: A Generic Benchmark for Learning Under Constraints Hossein Rajaby Faghihi Aliakbar Nafar Chen Zheng Roshanak Mirzaee Yue Zhang Andrzej Uszok Alexander Wan Tanawan Premsri Dan Roth Parisa Kordjamshidi ELM VLM 32 13 0 16 Feb 2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning Jia-Yin Liu Zhenya Huang Chengxiang Zhai Qi Liu 13 20 0 11 Feb 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression Jiří Kubalík Erik Derner Robert Babuška 13 11 0 01 Feb 2023
Ontology Pre-training for Poison Prediction Martin Glauer Fabian Neuhaus Till Mossakowski Janna Hastings 11 4 0 20 Jan 2023
Modulation spectral features for speech emotion recognition using deep neural networks Premjeet Singh Md. Sahidullah G. Saha 25 44 0 14 Jan 2023
Knowledge-guided Causal Intervention for Weakly-supervised Object Localization Feifei Shao Yawei Luo Fei Gao Yezhou Yang Jun Xiao WSOL 30 4 0 03 Jan 2023
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework Jiayun Zhang Xiyuan Zhang Xinyang Zhang Dezhi Hong Rajesh K. Gupta Jingbo Shang FedML 51 7 0 01 Jan 2023
Unleashing the Power of Shared Label Structures for Human Activity Recognition Xiyuan Zhang Ranak Roy Chowdhury Jiayun Zhang Dezhi Hong Rajesh K. Gupta Jingbo Shang VLM 8 6 0 01 Jan 2023
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics Pengmiao Zhang R. Kannan Viktor K. Prasanna 16 2 0 10 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks Xiao-Li Li Ziqi Wang Bo-Wen Zhang Fuchun Sun Xiaolin Hu 24 25 0 04 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 19 17 0 30 Nov 2022
A Survey of Knowledge Enhanced Pre-trained Language Models Linmei Hu Zeyi Liu Ziwang Zhao Lei Hou Liqiang Nie Juanzi Li KELM VLM 17 121 0 11 Nov 2022
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization A.K. Vivekanandan Niels Maier Johann Marius Zöllner AAML 3DPC 28 3 0 02 Nov 2022
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling Francisco Souza Tim Offermans Ruud Barendse G. Postma Jeroen J. Jansen MoE 6 8 0 01 Nov 2022
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition Ines Rieger Jaspar Pahl Bettina Finzel Ute Schmid CVBM 14 1 0 31 Oct 2022