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Artificial intelligence and data

3,135 articles

International Committee on Computational Linguistics

The International Committee on Computational Linguistics (ICCL) is a board of senior researchers in computational linguistics and NLP that has organized the COLING conference series since 1965.

International Conference on Automated Planning and Scheduling

The International Conference on Automated Planning and Scheduling (ICAPS) is the premier annual research conference on planning and scheduling, formed in 2003 by merging AIPS and ECP.

International Conference on Computer Vision

The International Conference on Computer Vision (ICCV) is a biennial research conference on computer vision, sponsored by the IEEE and held in odd-numbered years since 1987, alongside CVPR and ECCV.

International Conference on Learning Representations

The International Conference on Learning Representations (ICLR) is an annual academic conference for machine learning and deep learning, founded in 2013 and known for public, open peer review on OpenReview.

International Conference on Machine Learning

The International Conference on Machine Learning (ICML) is an annual peer-reviewed academic conference for machine learning research, organized by the International Machine Learning Society since 1993.

International Joint Conference on Natural Language Processing

The International Joint Conference on Natural Language Processing (IJCNLP) is the flagship natural language processing conference of the Asian Federation of Natural Language Processing, first held in 2004.

International Journal of Computer Vision

The International Journal of Computer Vision (IJCV) is a monthly peer-reviewed scientific journal covering computer vision, founded in 1987 by Kluwer and published by Springer.

International Music Score Library Project

The International Music Score Library Project (IMSLP), also known as the Petrucci Music Library, is a wiki-based online library of public domain music scores launched in 2006.

International Seismological Centre

The International Seismological Centre (ISC), established in 1963 with UNESCO's help, is a non-profit organization in Thatcham, England, that collects seismological data from agencies worldwide.

Internet privacy

Internet privacy, also called web privacy, is the ability to control how personal data is collected, shared, and used online, shaped by laws like the GDPR.

InterPro

InterPro is a free database at EMBL-EBI that classifies protein sequences into families and predicts domains and sites, integrating signatures from 13 member databases since its creation in 1999.

Interspeech

Interspeech is the annual international conference of the International Speech Communication Association (ISCA), the world's largest conference on spoken language processing, formed in 2004 by merging EUROSPEECH and ICSLP.

Interval graph

An interval graph is the intersection graph of a family of intervals on the real line, first studied by Hajós in 1957, with applications in scheduling and molecular biology.

Interval optimization

Interval optimization is a family of numerical methods that represent uncertain quantities as intervals and use interval arithmetic to compute guaranteed, rigorously correct bounds on a function's global optimum.

Intrinsic image decomposition

Intrinsic image decomposition is a computer vision method that separates a photograph into a reflectance layer and a shading layer, rooted in Retinex theory and used for segmentation, recoloring, and relighting.

Introduction to Algorithms

An overview of algorithms in computer science, sequences of defined steps for solving problems, covering their history from Euclid and al-Khwarizmi, design paradigms, correctness proofs, and Big-O analysis.

Intuitionistic fuzzy sets

Intuitionistic fuzzy sets, introduced by Bulgarian mathematician Krassimir T. Atanassov in 1983, generalize Zadeh's fuzzy sets with independent membership and non-membership degrees and are widely used in decision making.

Invariant learning

Invariant learning is a family of machine learning methods that trains predictors using only features whose relationship to the label is stable across training environments, aiming to generalize to unseen environments where spurious correlations break down.

Invariant risk minimization

Invariant risk minimization (IRM) is a machine learning method proposed in 2019 that seeks predictors relying on features stable across environments rather than spurious correlations.

Inverse filter

The inverse filter is a deconvolution method that recovers an original signal or image by dividing by the known blur's transfer function in the frequency domain.

Inverse finite element method

The inverse finite element method (iFEM) is a computational technique that reconstructs a structure's full deformed shape from sparse surface strain measurements, requiring no knowledge of applied loads or material properties.

Inverse kinematics

Inverse kinematics (IK) computes the joint angles of a robot arm or animated character that place its end effector at a desired position and orientation.

Inverse optimization

Inverse optimization is a method that infers the objective function, and sometimes constraints, of an optimization model from observed decisions assumed to be optimal, reversing traditional optimization.

Inverse reinforcement learning

Inverse reinforcement learning (IRL) is a machine learning method that infers the reward function an agent is optimizing from observed behavior, first formalized by Ng and Russell in 2000.

Inverted index

An inverted index, also called an inverted file, is a data structure that maps each search term to the documents containing it, central to text search systems.

Invertible neural network

An invertible neural network is a neural network whose mapping is a differentiable bijection, so it transforms probability densities exactly and supports generative modeling, density estimation, and reversible data transformations.

Iris recognition

Iris recognition, also known as iris scan, is a biometric method that identifies people by the unique texture of the iris, first made practical by John Daugman's 1994 algorithms.

Irony detection

Irony detection is the natural language processing task of determining whether a text is ironic, where intended meaning differs from the literal one, especially on social media.

Island model (evolutionary computation)

The island model, also known as the distributed or multi-deme model, is a parallel structure for evolutionary algorithms in which subpopulations evolve separately and periodically exchange individuals through migration.

ISO 3166

ISO 3166, also known as the ISO geographic codes, is an ISO standard defining short codes for countries and their subdivisions, issued in three parts since 1974.