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PubMed is a freely accessible system for searching the biomedical literature, with approximately 2.5 million users worldwide on an average workday. We have recently developed PubMed Labs (www.pubmed.gov/labs), an experimental platform for…

OpenLB is an object-oriented implementation of LBM. It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2). Since the first release in 2007, the code has been…

Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible additional…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-30 Sergio Iserte , Rafael Mayo , Enrique S. Quintana-Ortí , Antonio J. Peña

As mobile devices have been ubiquitous, participatory sensing emerges as a powerful tool to solve many contemporary real life problems. Here, we contemplate the participatory sensing in online double auction environment by considering the…

Computer Science and Game Theory · Computer Science 2017-06-27 Jaya Mukhopadhyay , Vikash Kumar Singh , Sajal Mukhopadhyay , Anita Pal

Large databases such as aflowlib.org provide valuable data sources for discovering material trends through machine learning. Although a REST API and query language are available, there is a learning curve associated with the AFLUX language…

Databases · Computer Science 2017-10-03 Conred W. Rosenbrock

The aim of this paper is to propose a generalization of previous approaches in qualitative decision making. Our work is based on the binary possibilistic utility (PU), which is a possibilistic counterpart of Expected Utility (EU).We first…

Artificial Intelligence · Computer Science 2012-07-09 Paul Weng

The FindStat project at www.FindStat.org provides an online platform for mathematicians, particularly for combinatorialists, to gather information about combinatorial statistics and their relations. This outline provides an overview over…

Combinatorics · Mathematics 2014-01-16 Chris Berg , Viviane Pons , Travis Scrimshaw , Jessica Striker , Christian Stump

We study the desiderata on a model for statistical probabilistic programming languages. We argue that they can be met by a combination of traditional tools, namely open bisimulation and probabilistic simulation.

Logic in Computer Science · Computer Science 2024-03-26 Radha Jagadeesan

This paper describes Picat's planner, its implementation, and planning models for several domains used in International Planning Competition (IPC) 2014. Picat's planner is implemented by use of tabling. During search, every state…

Artificial Intelligence · Computer Science 2020-02-19 Neng-Fa Zhou , Roman Bartak , Agostino Dovier

We present fast-vollib, an open-source Python library that provides high-performance European option pricing, implied volatility (IV) computation, and Greeks under the Black-76, Black-Scholes, and Black-Scholes-Merton models. The library is…

Computational Finance · Quantitative Finance 2026-05-01 Raeid Saqur

We present ByzFL, an open-source Python library for developing and benchmarking robust federated learning (FL) algorithms. ByzFL provides a unified and extensible framework that includes implementations of state-of-the-art robust…

Machine Learning · Computer Science 2025-06-02 Marc González , Rachid Guerraoui , Rafael Pinot , Geovani Rizk , John Stephan , François Taïani

Meta-learning (a.k.a. learning to learn) has recently emerged as a promising paradigm for a variety of applications. There are now many meta-learning methods, each focusing on different modeling aspects of base and meta learners, but all…

Machine Learning · Computer Science 2020-09-29 Yaohua Liu , Risheng Liu

Active learning (AL) is a sub-field of ML focused on the development of methods to iteratively and economically acquire data by strategically querying new data points that are the most useful for a particular task. Here, we introduce…

Almost all applications stop scaling at some point; those that don't are seldom performant when considering time to solution on anything but aspirational/unicorn resources. Recognizing these tradeoffs as well as greater user functionality…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-28 Stephen Hudson , Jeffrey Larson , John-Luke Navarro , Stefan M. Wild

This study explores the potential of crowdfunding as a tool for achieving citizen co-funding of public projects. Focusing on philanthropic crowdfunding, we examine whether collaborative projects between public and private organizations are…

General Economics · Economics 2019-02-08 Sounman Hong , Jungmin Ryu

Bayesian Networks (BNs) are used in various fields for modeling, prediction, and decision making. pgmpy is a python package that provides a collection of algorithms and tools to work with BNs and related models. It implements algorithms for…

Machine Learning · Computer Science 2023-04-19 Ankur Ankan , Johannes Textor

In participatory budgeting (PB), voters decide through voting which subset of projects to fund within a given budget. Proportionality in the context of PB is crucial to ensure equal treatment of all groups of voters. However, pure…

Computer Science and Game Theory · Computer Science 2025-07-08 Georgios Papasotiropoulos , Seyedeh Zeinab Pishbin , Oskar Skibski , Piotr Skowron , Tomasz Wąs

Probabilistic databases (PDBs) are used to model uncertainty in data in a quantitative way. In the standard formal framework, PDBs are finite probability spaces over relational database instances. It has been argued convincingly that this…

Databases · Computer Science 2020-01-09 Martin Grohe , Peter Lindner

MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities for data managing…

Machine Learning · Computer Science 2024-02-14 Álvaro Belmonte , Amelia Zafra , Eva Gibaja

The Web Bulletin Board (WBB) is a key component of verifiable election systems. It is used in the context of election verification to publish evidence of voting and tallying that voters and officials can check, and where challenges can be…

Cryptography and Security · Computer Science 2014-01-17 Chris Culnane , Steve Schneider