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However, their correct use depends on assessment methods that can accurately predict how well the pesticides' spraying covered the intended crop region. Some methods have been proposed in the literature, but their high cost and low portability harm their widespread use. This paper proposes and experimentally evaluates a ne","authors":["Machado, Bruno B.","Spadon, Gabriel","Arruda, Mauro S.","Goncalves, Wesley N.","Carvalho, Andre C. P. L. F.","Rodrigues-Jr, Jose F."],"url":"https://arxiv.org/abs/1711.07828","arxiv_id":"1711.07828","published":"2026-07-10"},{"title":"Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning","abstract":"Time-series forecasting is one of the most active research topics in artificial intelligence. Applications in real-world time series should consider two factors for achieving reliable predictions: modeling dynamic dependencies among multiple variables and adjusting the model's intrinsic hyperparameters. A still open gap in that literature is that statistical and ensemble learning approaches systematically present","authors":["Spadon, Gabriel","Hong, Shenda","Brandoli, Bruno","Matwin, Stan","Rodrigues-Jr, Jose F.","Sun, Jimeng"],"url":"https://arxiv.org/abs/2008.12833","arxiv_id":"2008.12833","published":"2026-07-10"},{"title":"DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods","abstract":"Pesticide application has been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades. However, their appropriate use and calibration of machines rely upon evaluation methodologies that can precisely estimate how well the pesticides' spraying covered the crops. A few strategies have been proposed in former works, yet their elevated costs and low porta","authors":["Brandoli, Bruno","Spadon, Gabriel","Esau, Travis","Hennessy, Patrick","Carvalho, Andre C. P. L.","Rodrigues-Jr, Jose F."],"url":"https://arxiv.org/abs/2009.00453","arxiv_id":"2009.00453","published":"2026-07-10"},{"title":"A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling","abstract":"This paper derives the generalized extreme value (GEV) model with implicit availability/perception (IAP) of alternatives and proposes a variational autoencoder (VAE) approach for choice set generation and implicit perception of alternatives. Specifically, the cross-nested logit (CNL) model with IAP is derived as an example of IAP-GEV models. The VAE approach is adapted to model the choice set generation process, in w","authors":["Yao, Rui","Bekhor, Shlomo"],"url":"https://arxiv.org/abs/2106.13319","arxiv_id":"2106.13319","published":"2026-07-10"},{"title":"Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors","abstract":"A key challenge of real-world image super-resolution (SR) is to recover the missing details in low-resolution (LR) images with complex unknown degradations (e.g., downsampling, noise and compression). Most previous works restore such missing details in the image space. To cope with the high diversity of natural images, they either rely on the unstable GANs that are difficult to train and prone to artifacts, or resort","authors":["Chen, Chaofeng","Shi, Xinyu","Qin, Yipeng","Li, Xiaoming","Han, Xiaoguang","Yang, Tao"],"url":"https://arxiv.org/abs/2202.13142","arxiv_id":"2202.13142","published":"2026-07-10"},{"title":"Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning","abstract":"The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages used for tracking vessels' trajectories. AIS messages are transmitted over radio or satellite at ideally periodic time intervals but vary irregularly over time. As such, this pape","authors":["Spadon, Gabriel","Ferreira, Martha D.","Soares, Amilcar","Matwin, Stan"],"url":"https://arxiv.org/abs/2202.13867","arxiv_id":"2202.13867","published":"2026-07-10"},{"title":"Accurate Portraits of Scientific Resources and Knowledge Service Components","abstract":"With the advent of the cloud computing era, the cost of creating, capturing, and managing information has gradually decreased. The amount of data on the Internet is showing explosive growth, and more scientific and technological resources are being uploaded to the network. Different from news and social media data, scientific and technological resources are mainly composed of academic-style resources or entities, suc","authors":["Wang, Yue","Xue, Zhe","Li, Ang"],"url":"https://arxiv.org/abs/2204.04883","arxiv_id":"2204.04883","published":"2026-07-10"},{"title":"Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences","abstract":"In recent years, with the continuous progress of science and technology, the number of scientific research achievements has increased rapidly. As an exchange platform and medium for scientific research achievements, scientific and technological academic conferences have become increasingly abundant. The convening of academic conferences brings large numbers of papers, researchers, institutions, projects, and research","authors":["Yu, Runyu","Xue, Zhe","Li, Ang"],"url":"https://arxiv.org/abs/2204.04888","arxiv_id":"2204.04888","published":"2026-07-10"},{"title":"Retrieval of Scientific and Technological Resources for Experts and Scholars","abstract":"Institutions of higher learning, research institutes and other scientific research units have abundant scientific and technological resources of experts and scholars, and these talents with great scientific and technological innovation ability are an important force to promote industrial upgrading. The scientific and technological resources of experts and scholars are mainly composed of basic attributes and scientifi","authors":["Ouyang, Suyu","Shao, Yingxia","Li, Ang"],"url":"https://arxiv.org/abs/2204.06142","arxiv_id":"2204.06142","published":"2026-07-10"},{"title":"From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*","abstract":"Graphs have often been used to answer questions about the interaction between real-world entities by taking advantage of their capacity to represent complex topologies. Complex networks are known to be graphs that capture such non-trivial topologies; they are able to represent human phenomena such as epidemic processes, the dynamics of populations, and the urbanization of cities. The investigation of complex networks","authors":["Spadon, Gabriel","Rodrigues-Jr, Jose F."],"url":"https://arxiv.org/abs/2206.01176","arxiv_id":"2206.01176","published":"2026-07-10"},{"title":"Computation, Condensation, and the Incompleteness Between Them: A Coupled Foundation of Intelligence","abstract":"The theory of computation was built to answer Turing's question: what is effectively calculable by an unbounded, immortal, disembodied agent following rules? Intelligence answers a different question (nature's): what can a \\emph{finite}, mortal, energy-limited agent do quickly enough to survive in a non-stationary world? We argue that a complete answer requires two operators: \\emph{computation} and \\emph{memo","authors":["Li, Xin"],"url":"https://arxiv.org/abs/2303.04203","arxiv_id":"2303.04203","published":"2026-07-10"},{"title":"Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents","abstract":"We introduce \\emph{Calibrated Stackelberg Games (CSGs)}, a generalization of the standard Stackelberg Games (SGs) framework. In CSGs, a principal repeatedly interacts with an agent who (contrary to standard SGs) does not have direct access to the principal's action but instead best-responds to calibrated forecasts about it. This framework provides a powerful and realistic modeling tool that goes beyond assuming t","authors":["Haghtalab, Nika","Podimata, Chara","Yang, Kunhe"],"url":"https://arxiv.org/abs/2306.02704","arxiv_id":"2306.02704","published":"2026-07-10"},{"title":"Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints","abstract":"The storage, management, and application of massive spatio-temporal data are widely used in practical scenarios, including public safety. However, due to the unique spatio-temporal distribution characteristics of real-world data, existing methods still face limitations in preserving spatio-temporal proximity and achieving load balancing in distributed storage. This paper proposes an efficient partitioning method for ","authors":["Gao, Jie","Li, Yawen","Xue, Zhe","Guan, Zeli"],"url":"https://arxiv.org/abs/2306.12857","arxiv_id":"2306.12857","published":"2026-07-10"},{"title":"Machine Learning for maximizing the memristivity of single and coupled quantum memristors","abstract":"We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors. We show that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory. Our results strengthen the possibility of using quantum memristors as key components of neuromorphic ","authors":["Hernani-Morales, Carlos","Alvarado, Gabriel","Albarrán-Arriagada, Francisco","Vives-Gilabert, Yolanda","Solano, Enrique","Martín-Guerrero, José D."],"url":"https://arxiv.org/abs/2309.05062","arxiv_id":"2309.05062","published":"2026-07-10"},{"title":"Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs","abstract":"This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-series analysis properties of a Hidden Markov Model (HMM). It is demonstrated that successive time-series analysis identifies and corrects errors in the CNN output. Our appro","authors":["Werner, Julia","Gerum, Christoph","Reiber, Moritz","Nick, Jörg","Bringmann, Oliver"],"url":"https://arxiv.org/abs/2310.07895","arxiv_id":"2310.07895","published":"2026-07-10"},{"title":"Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting","abstract":"This paper addresses the challenge of boosting the precision of multi-path long-term vessel trajectory forecasting on engineered sequences of Automatic Identification System (AIS) data using feature fusion for problem shifting. We have developed a deep auto-encoder model and a phased framework approach to predict the next 12 hours of vessel trajectories using 1 to 3 hours of AIS data as input. To this end, we fuse th","authors":["Spadon, Gabriel","Kumar, Jay","Eden, Derek","van Berkel, Josh","Foster, Tom","Soares, Amilcar"],"url":"https://arxiv.org/abs/2310.18948","arxiv_id":"2310.18948","published":"2026-07-10"},{"title":"Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network","abstract":"Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, this paper proposes a semantic representation learning method based on adaptive features and graph neural networks. By introducing adaptive feature processing, scientific-literature features are considered globally and locally. The graph att","authors":["Gao, Hongrui","Li, Yawen","Liang, Meiyu","Guan, Zeli","Xue, Zhe"],"url":"https://arxiv.org/abs/2311.00296","arxiv_id":"2311.00296","published":"2026-07-10"},{"title":"Statistical inverse learning problems with random observations","abstract":"We provide an overview of recent progress in statistical inverse problems with random experimental design, covering both linear and nonlinear inverse problems. Different regularization schemes have been studied to produce robust and stable solutions. We discuss recent results in spectral regularization methods and regularization by projection, exploring both approaches within the context of Hilbert scales and present","authors":["Rastogi, Abhishake","Helin, Tapio","Mücke, Nicole"],"url":"https://arxiv.org/abs/2312.15341","arxiv_id":"2312.15341","published":"2026-07-10"},{"title":"Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models","abstract":"Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting ecosystems and inflicting substantial economic damages across agriculture, forestry, and fisheries. Due to the fast growth of global trade and transportation networks, NIS has been introduced and spread unintentionally in new environments. This study develops a new physics-informed model to forecast maritime shipping traffic bet","authors":["Song, Ruixin","Spadon, Gabriel","Pelot, Ronald","Matwin, Stan","Soares, Amilcar"],"url":"https://arxiv.org/abs/2401.13098","arxiv_id":"2401.13098","published":"2026-07-10"},{"title":"Conformal Predictive Programming for Chance Constrained Optimization","abstract":"We propose conformal predictive programming (CPP), a framework to solve chance constrained optimization problems, i.e., optimization problems with constraints that are functions of random variables. CPP utilizes samples from these random variables along with the quantile lemma - central to conformal prediction - to transform the chance constrained optimization problem into a deterministic problem with a quantile refo","authors":["Zhao, Yiqi","Yu, Xinyi","Sesia, Matteo","Deshmukh, Jyotirmoy V.","Lindemann, Lars"],"url":"https://arxiv.org/abs/2402.07407","arxiv_id":"2402.07407","published":"2026-07-10"},{"title":"XOV-Action: Towards Generalizable Open-Vocabulary Action Recognition","abstract":"Inspired by the impressive success of image-text foundation models, recent works have proposed to adapt these foundation models to video data, leading to efficient and effective video models for open-vocabulary action recognition. However, through a comprehensive evaluation, our work finds that state-of-the-art open-vocabulary action recognition models still struggle with generalization to video domains that they hav","authors":["Lin, Kun-Yu","Ding, Henghui","Du, Jia-Run","Zhou, Jiaming","Peng, Yi-Xing","Tang, Yu-Ming"],"url":"https://arxiv.org/abs/2403.01560","arxiv_id":"2403.01560","published":"2026-07-10"},{"title":"ImPORTance: Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency","abstract":"Seaports play a crucial role in the global economy, and researchers have sought to understand their significance through various studies. In this paper, we aim to explore the common characteristics shared by important ports by analyzing the network of connections formed by vessel movement among them. To accomplish this task, we adopt a bottom-up network construction approach that combines three years' worth of AI","authors":["Carlini, Emanuele","Di Gangi, Domenico","de Lira, Vinicius Monteiro","Kavalionak, Hanna","Soares, Amilcar","Spadon, Gabriel"],"url":"https://arxiv.org/abs/2407.09571","arxiv_id":"2407.09571","published":"2026-07-10"},{"title":"Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration","abstract":"Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning. For histopathology, stain normalization techniques can mitigate discrepancies, but they often fall short of eliminating inter-site variations. Therefore, we present Data Alchemy, an explainable stain normalization method ","authors":["Parida, Abhijeet","Alomar, Antonia","Jiang, Zhifan","Roshanitabrizi, Pooneh","Tapp, Austin","Ledesma-Carbayo, Maria"],"url":"https://arxiv.org/abs/2407.13632","arxiv_id":"2407.13632","published":"2026-07-10"},{"title":"The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis","abstract":"Developing and certifying safe - or so-called trustworthy - AI has become an increasingly salient issue, especially in light of upcoming regulation such as the EU AI Act. In this context, the black-box nature of machine learning models limits the use of conventional avenues of approach towards certifying complex technical systems. As a potential solution, methods to give insights into this black-box - devised in the ","authors":["Fresz, Benjamin","Göbels, Vincent Philipp","Omri, Safa","Brajovic, Danilo","Aichele, Andreas","Kutz, Janika"],"url":"https://arxiv.org/abs/2408.02379","arxiv_id":"2408.02379","published":"2026-07-10"},{"title":"Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors","abstract":"Obtaining a reliable estimate of the joint probability mass function (PMF) of a set of random variables from observed data is a significant objective in statistical signal processing and machine learning. Modelling the joint PMF as a tensor that admits a low-rank canonical polyadic decomposition (CPD) has enabled the development of efficient PMF estimation algorithms. However, these algorithms require the rank (model","authors":["Chege, Joseph K.","Yeredor, Arie","Haardt, Martin"],"url":"https://arxiv.org/abs/2410.06329","arxiv_id":"2410.06329","published":"2026-07-10"}],"history":{"events":[{"year":2018,"text":"The last members of a junior association football team and their coach were rescued from Tham Luang Nang Non, a flooded cave in northern Thailand.","url":"https://en.wikipedia.org/wiki/Association_football"},{"year":2011,"text":"The last edition of the British tabloid News of the World was published, closing due to allegations that it hacked the voicemails of murdered schoolgirl Milly Dowler, victims of the 7/7 attacks and relatives of deceased British soldiers.","url":"https://en.wikipedia.org/wiki/Tabloid_journalism"},{"year":2011,"text":"The Russian river cruise liner Bulgaria was caught in a storm in Tatarstan on the Volga and sank in several minutes, resulting in 122 deaths.","url":"https://en.wikipedia.org/wiki/Bulgaria_(1955_ship)"},{"year":2006,"text":"Typhoon Ewiniar made landfall in South Korea, causing damages across the country amounting to 2.06 trillion won (US$1.4 billion).","url":"https://en.wikipedia.org/wiki/Typhoon_Ewiniar_(2006)"},{"year":1999,"text":"The United States defeated China in the final match of the third FIFA Women's World Cup, setting records in both attendance and television ratings for women's sports.","url":"https://en.wikipedia.org/wiki/United_States_women's_national_soccer_team"},{"year":1978,"text":"Moktar Ould Daddah, the first president of Mauritania, was ousted in a coup d'état led by Mustafa Ould Salek.","url":"https://en.wikipedia.org/wiki/Moktar_Ould_Daddah"},{"year":1973,"text":"John Paul Getty III, a grandson of the American oil magnate J. Paul Getty, was kidnapped in Rome.","url":"https://en.wikipedia.org/wiki/John_Paul_Getty_III"},{"year":1966,"text":"Martin Luther King Jr. (pictured) led a rally in support of the Chicago Freedom Movement, one of the most ambitious civil-rights campaigns in the northern United States.","url":"https://en.wikipedia.org/wiki/Martin_Luther_King_Jr."},{"year":1945,"text":"Three African-American United States Marines who repeatedly raped local women in Katsuyama near Nago, Okinawa were killed by the residents and had their bodies hidden in a nearby cave for over 50 years.","url":"https://en.wikipedia.org/wiki/United_States_Marine_Corps"},{"year":1942,"text":"A downed Japanese Mitsubishi A6M Zero was discovered on Akutan Island, Alaska; it was later rebuilt and flown to devise tactics against the aircraft during World War II.","url":"https://en.wikipedia.org/wiki/Akutan_Zero"},{"year":1941,"text":"The Holocaust: Ethnic Poles murdered at least 300 Jewish residents of Jedwabne in German-occupied Poland.","url":"https://en.wikipedia.org/wiki/The_Holocaust"},{"year":1925,"text":"Indian mystic and spiritual master Meher Baba began his silence until his death in 1969, only communicating by means of an alphabet board or by unique hand gestures.","url":"https://en.wikipedia.org/wiki/Guru"},{"year":1921,"text":"Irish War of Independence: One day after a truce was agreed between the Irish Republican Army and British forces, violence broke out between Catholics and Protestants in Belfast.","url":"https://en.wikipedia.org/wiki/Irish_War_of_Independence"},{"year":1913,"text":"The air temperature in Furnace Creek, California, reached 134 °F (56.7 °C), recognized by the World Meteorological Organization as the highest recorded on Earth.","url":"https://en.wikipedia.org/wiki/Furnace_Creek%2C_California"},{"year":1806,"text":"Indian sepoys mutinied against the East India Company at Vellore Fort.","url":"https://en.wikipedia.org/wiki/Sepoy"},{"year":1668,"text":"Anglo-Spanish War (1654–1660): Henry Morgan with an English privateer force landed at Porto Bello (in modern-day Panama) in an attempt to capture the Spanish city.","url":"https://en.wikipedia.org/wiki/Anglo-Spanish_War_(1654%E2%80%931660)"},{"year":1645,"text":"English Civil War: The Parliamentarians destroyed the last Royalist field army at the Battle of Langport, ultimately giving Parliament control of the west of England.","url":"https://en.wikipedia.org/wiki/English_Civil_War"},{"year":1553,"text":"Lady Jane Grey (pictured) was proclaimed the successor to King Edward VI of England, beginning her disputed reign as the \"Nine Days' Queen\".","url":"https://en.wikipedia.org/wiki/Lady_Jane_Grey"}],"births":[{"year":2024,"text":"Moo Deng, Thai celebrity pygmy hippopotamus","url":"https://en.wikipedia.org/wiki/Moo_Deng"},{"year":2007,"text":"Mason Thames, American actor","url":"https://en.wikipedia.org/wiki/Mason_Thames"},{"year":2002,"text":"Reece Walsh, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Reece_Walsh"},{"year":2001,"text":"Isabela Merced, American actress","url":"https://en.wikipedia.org/wiki/Isabela_Merced"},{"year":1999,"text":"April Ivy, Portuguese composer and singer","url":"https://en.wikipedia.org/wiki/April_Ivy"},{"year":1999,"text":"San, South Korean singer and dancer","url":"https://en.wikipedia.org/wiki/San_(singer)"},{"year":1998,"text":"Angus Cloud, American actor (died 2023)","url":"https://en.wikipedia.org/wiki/Angus_Cloud"},{"year":1994,"text":"Chae Soo-bin, South Korean actress","url":"https://en.wikipedia.org/wiki/Chae_Soo-bin"}],"deaths":[{"year":2026,"text":"Derryn Hinch, New Zealand-born Australian radio and television host (born 1944)","url":"https://en.wikipedia.org/wiki/Derryn_Hinch"},{"year":2025,"text":"David Gergen, American political consultant (born 1942)","url":"https://en.wikipedia.org/wiki/David_Gergen"},{"year":2024,"text":"Joe Engle, American Air Force officer, test pilot, and NASA astronaut (born 1932)","url":"https://en.wikipedia.org/wiki/Joe_Engle"},{"year":2024,"text":"Alex Janvier, Native American artist (born 1935)","url":"https://en.wikipedia.org/wiki/Alex_Janvier"},{"year":2024,"text":"Dave Loggins, American musician (born 1947)","url":"https://en.wikipedia.org/wiki/Dave_Loggins"},{"year":2022,"text":"Maurice Boucher, Canadian outlaw biker (born 1953)","url":"https://en.wikipedia.org/wiki/Maurice_Boucher"},{"year":2020,"text":"Lara van Ruijven, Dutch short track speed skater (born 1992)","url":"https://en.wikipedia.org/wiki/Lara_van_Ruijven"},{"year":2020,"text":"Jack Charlton, English footballer and manager (born 1935)","url":"https://en.wikipedia.org/wiki/Jack_Charlton"}]},"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, 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Every item links to its source."}