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Prior work often studies entity relatedness in static settings and an unsupervised manner. However, entities in real-world are often involved in many different relationships, consequently entity-relations are very dynamic over time. In this work, we propose a neural networkbased approach for","authors":["Nguyen, Tu","Tran, Tuan","Nejdl, Wolfgang"],"url":"https://arxiv.org/abs/1808.08316","arxiv_id":"1808.08316","published":"2025-12-01"},{"title":"Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks","abstract":"Electromagnetic Navigation Systems (eMNS) can be used to control a variety of multiscale devices within the human body for remote surgery. Accurate modeling of the magnetic fields generated by the electromagnets of an eMNS is crucial for the precise control of these devices. Existing methods assume a linear behavior of these systems, leading to significant modeling errors within nonlinear regions exhibited at higher ","authors":["Yu, Ruoxi","Charreyron, Samuel L.","Boehler, Quentin","Weibel, Cameron","Poon, Carmen C. Y.","Nelson, Bradley J."],"url":"https://arxiv.org/abs/1909.12028","arxiv_id":"1909.12028","published":"2025-12-01"},{"title":"Total Least Square Optimal Analytic Signal by Structure Tensor for N-D images","abstract":"We produce the analytic signal by using the Structure Tensor, which provides Total Least Squares optimal vectors for estimating orientation and scale locally. Together, these vectors represent N-D frequency components that determine adaptive, complex probing filters. The N-D analytic signal is obtained through scalar products of adaptive filters with image neighborhoods. It comprises orientation, scale, phase, and am","authors":["Bigun, Josef","Alonso-Fernandez, Fernando"],"url":"https://arxiv.org/abs/2005.08108","arxiv_id":"2005.08108","published":"2025-12-01"},{"title":"Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection","abstract":"The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor independently. Differences in retrieved radiances lead to significant drops in accuracy, which hampers knowledge and information sharing across sensors. This is particula","authors":["Mateo-García, Gonzalo","Laparra, Valero","López-Puigdollers, Dan","Gómez-Chova, Luis"],"url":"https://arxiv.org/abs/2006.05923","arxiv_id":"2006.05923","published":"2025-12-01"},{"title":"One-shot Transfer Learning for Population Mapping","abstract":"Fine-grained population distribution data is of great importance for many applications, e.g., urban planning, traffic scheduling, epidemic modeling, and risk control. However, due to the limitations of data collection, including infrastructure density, user privacy, and business security, such fine-grained data is hard to collect and usually, only coarse-grained data is available. Thus, obtaining fine-grained populat","authors":["Shao, Erzhuo","Feng, Jie","Wang, Yingheng","Xia, Tong","Li, Yong"],"url":"https://arxiv.org/abs/2108.06228","arxiv_id":"2108.06228","published":"2025-12-01"},{"title":"Fast Gradient Methods for Data-Consistent Local Super-Resolution of Medical Images","abstract":"In this work, we propose a new paradigm of iterative model-based reconstruction algorithms for providing real-time solution for zooming-in and refining a region of interest in medical and clinical tomographic images. This algorithmic framework is tailored for a clinical need in medical imaging practice that after a reconstruction of the full tomographic image, the clinician may believe that some critical parts of the","authors":["Tang, Junqi","Xu, Guixian","Li, Jinglai"],"url":"https://arxiv.org/abs/2202.10875","arxiv_id":"2202.10875","published":"2025-12-01"},{"title":"Learning Rules from Rewards","abstract":"Humans can flexibly generalize knowledge across domains by leveraging structured relational representations. While prior research has shown how such representations support analogical reasoning, less is known about how they are recruited to guide adaptive behavior. We address this gap by introducing the Relational Regression Tree Learner (RRTL), a model that incrementally builds policies over structured relational in","authors":["Puebla, Guillermo","Doumas, Leonidas A. A."],"url":"https://arxiv.org/abs/2203.13599","arxiv_id":"2203.13599","published":"2025-12-01"},{"title":"New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography","abstract":"Diabetes has a long asymptomatic period which can often remain undiagnosed for multiple years. In this study, we trained a deep learning model to detect new-onset diabetes using 12-lead ECG and readily available demographic information. To do so, we used retrospective data where patients have both a hemoglobin A1c and ECG measured. However, such patients may not be representative of the complete patient population. A","authors":["Zhang, Hao","Jethani, Neil","Puli, Aahlad","Garber, Leonid","Jankelson, Lior","Aphinyanaphongs, Yindalon"],"url":"https://arxiv.org/abs/2205.02900","arxiv_id":"2205.02900","published":"2025-12-01"},{"title":"Continual Learning with Global Alignment","abstract":"Continual learning aims to sequentially learn new tasks without forgetting previous tasks' knowledge (catastrophic forgetting). One factor that can cause forgetting is the interference between the gradients on losses from different tasks. When the gradients on the current task's loss are in opposing directions to those on previous tasks' losses, updating the model for the current task may cause performanc","authors":["Bai, Xueying","Shang, Jinghuan","Sun, Yifan","Balasubramanian, Niranjan"],"url":"https://arxiv.org/abs/2205.12186","arxiv_id":"2205.12186","published":"2025-12-01"},{"title":"CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis","abstract":"Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learning techniques based on medical imaging data can help in the faster detection of COVID-19 cases and monitoring of disease progression. Regardless of the numerous proposed solutions for lung X-rays, none of them is a product that can be used","authors":["Prazuch, Wojciech","Suwalska, Aleksandra","Socha, Marek","Tobiasz, Joanna","Foszner, Pawel","Jaroszewicz, Jerzy"],"url":"https://arxiv.org/abs/2210.05440","arxiv_id":"2210.05440","published":"2025-12-01"},{"title":"Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression","abstract":"High fidelity design evaluation processes such as Computational Fluid Dynamics and Finite Element Analysis are often replaced with data driven surrogates to reduce computational cost in engineering design optimization. However, building accurate surrogate models still requires a large number of expensive simulations. To address this challenge, we introduce epsilon HQS, a scalable active learning strategy that leverag","authors":["Kapoor, Sarthak","Vardhan, Harsh","Timalsina, Umesh","Kumar, Sumit","Volgyesi, Peter","Sztipanovits, Janos"],"url":"https://arxiv.org/abs/2211.10360","arxiv_id":"2211.10360","published":"2025-12-01"},{"title":"Self-concordant smoothing in proximal quasi-Newton algorithms for large-scale convex composite optimization","abstract":"We introduce a notion of self-concordant smoothing for minimizing the sum of two convex functions, one of which is smooth and the other nonsmooth. The key highlight is a natural property of the resulting problem's structure that yields a variable metric selection method and a step length rule especially suited to proximal quasi-Newton algorithms. Also, we efficiently handle specific structures promoted by the non","authors":["Adeoye, Adeyemi D.","Bemporad, Alberto"],"url":"https://arxiv.org/abs/2309.01781","arxiv_id":"2309.01781","published":"2025-12-01"},{"title":"Convergence Analysis of Decentralized ASGD","abstract":"Over the last decades, Stochastic Gradient Descent (SGD) has been intensively studied by the Machine Learning community. Despite its versatility and excellent performance, the optimization of large models via SGD still is a time-consuming task. To reduce training time, it is common to distribute the training process across multiple devices. Recently, it has been shown that the convergence of asynchronous SGD (ASGD) w","authors":["Tosi, Mauro DL","Theobald, Martin"],"url":"https://arxiv.org/abs/2309.03754","arxiv_id":"2309.03754","published":"2025-12-01"},{"title":"AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models","abstract":"Large language models (LLMs) have gained broad applications across various domains but still struggle with hallucinations. Currently, hallucinations occur frequently in the generation of factual content and pose a great challenge to trustworthy LLMs. However, hallucination detection is hindered by the laborious and expensive manual annotation of hallucinatory content. Meanwhile, as different LLMs exhibit distinct typ","authors":["Cao, Zouying","Yang, Yifei","Li, XiaoJing","Zhao, Hai"],"url":"https://arxiv.org/abs/2310.00259","arxiv_id":"2310.00259","published":"2025-12-01"},{"title":"A Sampling-Based Domain Generalization Study with Diffusion Generative Models","abstract":"In this work, we investigate the domain generalization capabilities of diffusion models in the context of synthesizing images that are distinct from the training data. Instead of fine-tuning, we tackle this challenge from a sampling-based perspective using frozen, pre-trained diffusion models. Specifically, we demonstrate that arbitrary out-of-domain (OOD) images establish Gaussian priors in the latent spaces of a gi","authors":["Zhu, Ye","Wu, Yu","Xu, Duo","Deng, Zhiwei","Yan, Yan","Russakovsky, Olga"],"url":"https://arxiv.org/abs/2310.09213","arxiv_id":"2310.09213","published":"2025-12-01"},{"title":"Fast multiplication by two's complement addition of numbers represented as a set of polynomial radix 2 indexes, stored as an integer list for massively parallel computation","abstract":"We demonstrate a multiplication method based on numbers represented as set of polynomial radix 2 indices stored as an integer list. The 'polynomial integer index multiplication' method is a set of algorithms implemented in python code. We demonstrate the method to be faster than both the Number Theoretic Transform (NTT) and Karatsuba for multiplication within a certain bit range. Also implemented in python co","authors":["Stocks, Mark"],"url":"https://arxiv.org/abs/2311.09922","arxiv_id":"2311.09922","published":"2025-12-01"},{"title":"Source-free Video Domain Adaptation by Learning from Noisy Labels","abstract":"Despite the progress seen in classification methods, current approaches for handling videos with distribution shifts in source and target domains remain source-dependent as they require access to the source data during the adaptation stage. In this paper, we present a self-training based source-free video domain adaptation approach to address this challenge by bridging the gap between the source and the target domain","authors":["Dasgupta, Avijit","Jawahar, C. V.","Alahari, Karteek"],"url":"https://arxiv.org/abs/2311.18572","arxiv_id":"2311.18572","published":"2025-12-01"},{"title":"Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains","abstract":"Learning from (procedural) videos has increasingly served as a pathway for embodied agents to acquire skills from human demonstrations. To do this, video understanding models must be able to obtain structured understandings, such as the temporal segmentation of a demonstration into sequences of actions and skills, and to generalize the understandings to novel environments, tasks, and problem domains. In pursuit of th","authors":["Tang, Zitian","Krishnan, Rohan Myer","Yu, Zhiqiu","Sun, Chen"],"url":"https://arxiv.org/abs/2311.18773","arxiv_id":"2311.18773","published":"2025-12-01"},{"title":"OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts","abstract":"Instance segmentation in remote sensing images is a long-standing challenge. Since horizontal bounding boxes introduce many interference objects, oriented bounding boxes (OBBs) are usually used for instance identification. However, based on ``segmentation within bounding box'' paradigm, current instance segmentation methods using OBBs are overly dependent on bounding box detection performance. To tackle this ","authors":["Zhou, Zhen","Fan, Junfeng","Ma, Yunkai","Zhao, Sihan","Jing, Fengshui","Tan, Min"],"url":"https://arxiv.org/abs/2401.08174","arxiv_id":"2401.08174","published":"2025-12-01"},{"title":"Learning Contrastive Feature Representations for Facial Action Unit Detection","abstract":"For the Facial Action Unit (AU) detection task, accurately capturing the subtle facial differences between distinct AUs is essential for reliable detection. Additionally, AU detection faces challenges from class imbalance and the presence of noisy or false labels, which undermine detection accuracy. In this paper, we introduce a novel contrastive learning framework aimed for AU detection that incorporates both self-s","authors":["Shang, Ziqiao","Liu, Bin","Lv, Fengmao","Teng, Fei","Li, Tianrui","Guo, Lan-Zhe"],"url":"https://arxiv.org/abs/2402.06165","arxiv_id":"2402.06165","published":"2025-12-01"},{"title":"Extensible Multi-Granularity Fusion Network and Transferable Curriculum Learning for Aspect-based Sentiment Analysis","abstract":"Aspect-based Sentiment Analysis (ABSA) aims to determine sentiment polarity toward specific aspects in text. Existing methods enrich semantic and syntactic representations through external knowledge or GNNs, but the growing diversity of linguistic features increases model complexity and lacks a unified, extensible framework. We propose an Extensible Multi-Granularity Fusion Network (EMGF) that integrates dependency s","authors":["Li, Xinran","Zhao, Xiaowei","Zhu, Yubo","Zhang, Zhiheng","Huang, Zhiqi","Song, Hongkun"],"url":"https://arxiv.org/abs/2402.07787","arxiv_id":"2402.07787","published":"2025-12-01"},{"title":"Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization","abstract":"Multimodal summarization aims to generate a concise summary based on the input text and image. However, the existing methods potentially suffer from unfactual output. To evaluate the factuality of multimodal summarization models, we propose two fine-grained and explainable evaluation frameworks (FALLACIOUS) for different application scenarios, i.e. reference-based factuality evaluation framework and reference-free fa","authors":["Zhang, Yue","Zuo, Jingxuan","Su, Ke","Jing, Liqiang"],"url":"https://arxiv.org/abs/2402.11414","arxiv_id":"2402.11414","published":"2025-12-01"},{"title":"Infrared and Visible Image Fusion with Language-Driven Loss in CLIP Embedding Space","abstract":"Infrared-visible image fusion (IVIF) has attracted much attention owing to the highly-complementary properties of the two image modalities. Due to the lack of ground-truth fused images, the fusion output of current deep-learning based methods heavily depends on the loss functions defined mathematically. As it is hard to well mathematically define the fused image without ground truth, the performance of existing fusio","authors":["Wang, Yuhao","Miao, Lingjuan","Zhou, Zhiqiang","Zhang, Lei","Qiao, Yajun"],"url":"https://arxiv.org/abs/2402.16267","arxiv_id":"2402.16267","published":"2025-12-01"},{"title":"Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey","abstract":"The integration of biomolecular modeling with natural language (BL) has emerged as a promising interdisciplinary area at the intersection of artificial intelligence, chemistry and biology. This approach leverages the rich, multifaceted descriptions of biomolecules contained within textual data sources to enhance our fundamental understanding and enable downstream computational tasks such as biomolecule property predi","authors":["Pei, Qizhi","Zhou, Zhimeng","Gao, Kaiyuan","Zhu, Jinhua","Wang, Yue","Wang, Zun"],"url":"https://arxiv.org/abs/2403.01528","arxiv_id":"2403.01528","published":"2025-12-01"},{"title":"Configurable Fairness: Direct Optimization of Parity Metrics via Vision-Language Models","abstract":"Performance disparities of image recognition across demographic groups are known to exist in deep learning-based models, due to imbalanced group representations or spurious correlation between group and target labels. Previous work has addressed such challenges without relying on expensive group labels, typically by upweighting high-loss samples or balancing discovered clusters. However, these heuristic strategies la","authors":["Zhang, Miao","Chunara, Rumi"],"url":"https://arxiv.org/abs/2403.10624","arxiv_id":"2403.10624","published":"2025-12-01"}],"history":{"events":[{"year":2019,"text":"Vivianne Miedema scored six goals and had four assists for Arsenal W.F.C. in their 11–1 victory over Bristol City W.F.C., which broke the record for the most goals scored in a FA Women's Super League match.","url":"https://en.wikipedia.org/wiki/Vivianne_Miedema"},{"year":1991,"text":"A referendum held to ratify the Act of Declaration of Independence of Ukraine passed with more than 92 percent of the vote.","url":"https://en.wikipedia.org/wiki/1991_Ukrainian_independence_referendum"},{"year":1988,"text":"Five armed men hijacked a bus carrying schoolchildren and a teacher in Ordzhonikidze (now Vladikavkaz, Russia), and were later given an Ilyushin Il-76 aircraft and ransom for the release of the hostages.","url":"https://en.wikipedia.org/wiki/1988_Ordzhonikidze_bus_hijacking"},{"year":1974,"text":"Two Boeing 727s, TWA Flight 514 and Northwest Orient Airlines Flight 6231, crashed in the eastern United States in unrelated circumstances, killing 95 people on board both aircraft.","url":"https://en.wikipedia.org/wiki/Boeing_727"},{"year":1971,"text":"A period of political and economic reforms in the Socialist Republic of Croatia came to an end as the League of Communists of Yugoslavia decided to purge the state's reformist leadership.","url":"https://en.wikipedia.org/wiki/Croatian_Spring"},{"year":1966,"text":"The Pit, one of U.S. college basketball's premier arenas, opened on the campus of the University of New Mexico.","url":"https://en.wikipedia.org/wiki/The_Pit_(arena)"},{"year":1966,"text":"The first Gävle goat, a Swedish Yule goat tradition, was constructed in Gävle and then burned to the ground on New Year's Eve.","url":"https://en.wikipedia.org/wiki/G%C3%A4vle_goat"},{"year":1959,"text":"Twelve countries signed the Antarctic Treaty, the first arms control agreement established during the Cold War, banning military activity in the Antarctic and setting the continent aside as a scientific preserve.","url":"https://en.wikipedia.org/wiki/Antarctic_Treaty_System"},{"year":1958,"text":"The musical Flower Drum Song by Rodgers and Hammerstein premiered on Broadway.","url":"https://en.wikipedia.org/wiki/Flower_Drum_Song"},{"year":1955,"text":"Rosa Parks was arrested for refusing to give up her seat on a public bus to a white man in Montgomery, Alabama, United States, sparking the Montgomery bus boycott.","url":"https://en.wikipedia.org/wiki/Rosa_Parks"},{"year":1953,"text":"American men's magazine Playboy was founded in Chicago by Hugh Hefner and his associates.","url":"https://en.wikipedia.org/wiki/Playboy"},{"year":1948,"text":"In \"one of Australia's most profound mysteries\", the body of an unidentified man was found on Somerton beach in Adelaide, a case which remains unsolved.","url":"https://en.wikipedia.org/wiki/Somerton_Man"},{"year":1941,"text":"The Civil Air Patrol, the civilian auxiliary of the United States Air Force, was founded.","url":"https://en.wikipedia.org/wiki/Civil_Air_Patrol"},{"year":1934,"text":"Soviet politician Sergei Kirov was assassinated at the Smolny Institute in Leningrad.","url":"https://en.wikipedia.org/wiki/Sergei_Kirov"},{"year":1923,"text":"The Gleno Dam in the Italian province of Bergamo failed due to poor workmanship, flooding the downstream valley and killing at least 356 people.","url":"https://en.wikipedia.org/wiki/Gleno_Dam"},{"year":1918,"text":"With the signing of the Act of Union, Denmark recognized the Kingdom of Iceland as a fully sovereign state in personal union through a common monarch.","url":"https://en.wikipedia.org/wiki/Danish%E2%80%93Icelandic_Act_of_Union"},{"year":1828,"text":"Returning to Buenos Aires with troops who fought in the Cisplatine War, Juan Lavalle (pictured) deposed provincial governor Manuel Dorrego, reigniting the Argentine Civil Wars.","url":"https://en.wikipedia.org/wiki/Cisplatine_War"},{"year":1822,"text":"Pedro I was crowned the first emperor of Brazil, seven weeks after his reign began on his 24th birthday.","url":"https://en.wikipedia.org/wiki/Pedro_I_of_Brazil"}],"births":[{"year":2008,"text":"Ella Gross, American singer, model and actress","url":"https://en.wikipedia.org/wiki/Ella_Gross"},{"year":2003,"text":"Robert Irwin, Australian conservationist and television personality","url":"https://en.wikipedia.org/wiki/Robert_Irwin"},{"year":2001,"text":"Carole Monnet, French tennis player","url":"https://en.wikipedia.org/wiki/Carole_Monnet"},{"year":1999,"text":"Lloyd Pope, Australian cricketer","url":"https://en.wikipedia.org/wiki/Lloyd_Pope"},{"year":1999,"text":"Nico Schlotterbeck, German footballer","url":"https://en.wikipedia.org/wiki/Nico_Schlotterbeck"},{"year":1997,"text":"Sada Williams, Barbadian sprinter","url":"https://en.wikipedia.org/wiki/Sada_Williams"},{"year":1997,"text":"Jung Chae-yeon, South Korean actress and singer","url":"https://en.wikipedia.org/wiki/Jung_Chae-yeon"},{"year":1995,"text":"Agnė Čepelytė, Lithuanian tennis player","url":"https://en.wikipedia.org/wiki/Agn%C4%97_%C4%8Cepelyt%C4%97"}],"deaths":[{"year":2024,"text":"Terry Griffiths, Welsh snooker player and coach (born 1947)","url":"https://en.wikipedia.org/wiki/Terry_Griffiths"},{"year":2024,"text":"Ian Redpath, Australian cricketer and coach (born 1941)","url":"https://en.wikipedia.org/wiki/Ian_Redpath"},{"year":2023,"text":"Sandra Day O'Connor, first female U.S. Supreme Court Justice (1981–2006) (born 1930)","url":"https://en.wikipedia.org/wiki/Sandra_Day_O'Connor"},{"year":2022,"text":"Gaylord Perry, American baseball player and coach (born 1938)","url":"https://en.wikipedia.org/wiki/Gaylord_Perry"},{"year":2020,"text":"Arnie Robinson, American athlete (born 1948)","url":"https://en.wikipedia.org/wiki/Arnie_Robinson"},{"year":2019,"text":"Paula Tilbrook, English actress (born 1930)","url":"https://en.wikipedia.org/wiki/Paula_Tilbrook"},{"year":2018,"text":"Vivian Lynn, New Zealand artist (born 1931)","url":"https://en.wikipedia.org/wiki/Vivian_Lynn"},{"year":2018,"text":"Ken Berry, American actor, dancer, and singer (born 1933)","url":"https://en.wikipedia.org/wiki/Ken_Berry"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API 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Every item links to its source."}