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New approach to design a dynamic model of genes with multiple autonomous regulatory modules by evolution in silico is proposed. The approach is based on Genetic Algorithms, enforced by new crossover operators, especially worked out for…

Quantitative Methods · Quantitative Biology 2009-03-03 Alexander V. Spirov

We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. As the user starts to draw a sketch of a desired object type, the network interactively recommends plausible…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Arnab Ghosh , Richard Zhang , Puneet K. Dokania , Oliver Wang , Alexei A. Efros , Philip H. S. Torr , Eli Shechtman

As the boundaries of human computer interaction expand, Generative AI emerges as a key driver in reshaping user interfaces, introducing new possibilities for personalized, multimodal and cross-platform interactions. This integration…

Human-Computer Interaction · Computer Science 2024-11-18 J. Bieniek , M. Rahouti , D. C. Verma

We describe and analyze algorithms for shape-constrained symbolic regression, which allows the inclusion of prior knowledge about the shape of the regression function. This is relevant in many areas of engineering -- in particular whenever…

Neural and Evolutionary Computing · Computer Science 2021-07-21 Christian Haider , Fabricio Olivetti de França , Bogdan Burlacu , Gabriel Kronberger

Developing fully parametric building models for performance-based generative design tasks often requires proficiency in many advanced 3D modeling and visual programming, limiting its use for many building designers. Moreover, iterations of…

Human-Computer Interaction · Computer Science 2020-09-02 Mohammad Keshavarzi , Clayton Hutson , Chin-Yi Cheng , Mehdi Nourbakhsh , Michael Bergin , Mohammad Rahmani Asl

Technological progress has persistently shaped the dynamics of human-machine interactions in task execution. In response to the advancements in Generative AI, this paper outlines a detailed study plan that investigates various human-AI…

Human-Computer Interaction · Computer Science 2024-02-13 Zijian Ding

Play is pivotal in fostering the emotional, social, and cultural dimensions of urban spaces. While generative AI (GAI) potentially supports playful urban interaction, a balanced and critical approach to the design opportunities and…

Human-Computer Interaction · Computer Science 2025-02-18 Peng-Kai Hung , Janet Yi-Ching Huang , Rung-Huei Liang , Stephan Wensveen

Generative UI is transforming interface design by facilitating AI-driven collaborative workflows between designers and computational systems. This study establishes a working definition of Generative UI through a multi-method qualitative…

Human-Computer Interaction · Computer Science 2025-05-22 Kyungho Lee

Generative AI (GenAI) is transforming creative fields shaping our culture and our heritage. We focus on widespread interactions between clients and (creative) specialists highlighting a change in interaction patterns leading to a shift from…

Artificial Intelligence · Computer Science 2025-12-05 Johannes Schneider , Kilic Sinem , Daniel Stockhammer

Algorithmic Recourse aims to provide actionable explanations, or recourse plans, to overturn potentially unfavourable decisions taken by automated machine learning models. In this paper, we propose an interaction paradigm based on a guided…

Human-Computer Interaction · Computer Science 2024-07-22 Seyedehdelaram Esfahani , Giovanni De Toni , Bruno Lepri , Andrea Passerini , Katya Tentori , Massimo Zancanaro

This paper explores the critical transition from Generative Artificial Intelligence (GenAI) to Innovative Artificial Intelligence (InAI). While recent advancements in GenAI have enabled systems to produce high-quality content across various…

Machine Learning · Computer Science 2025-03-17 Seyed Mahmoud Sajjadi Mohammadabadi

We perform a set of experiments to demonstrate that images generated using a Generative Adversarial Network can be modified using 'semiotics.' We show that just as physical attributes such as the hue and saturation of an image can be…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Sabrina Osmany

Genetic Algorithm (GA) is a popular meta-heuristic evolutionary algorithm that uses stochastic operators to find optimal solution and has proved its effectiveness in solving many complex optimization problems (such as classification,…

Neural and Evolutionary Computing · Computer Science 2023-05-02 Fahad Maqbool , Muhammad Saad Razzaq , Hajira Jabeen

This paper investigates the use of graph rewriting systems as a modelling tool, and advocates the embedding of such systems in an interactive environment. One important application domain is the modelling of biochemical systems, where…

Computational Engineering, Finance, and Science · Computer Science 2011-02-15 Oana Andrei , Maribel Fernández , Hélène Kirchner , Guy Melançon , Olivier Namet , Bruno Pinaud

One important feature of complex systems are problem domains that have many local minima and substructure. Biological systems manage these local minima by switching between different subsystems depending on their environmental or…

Neural and Evolutionary Computing · Computer Science 2022-08-25 Ankit Grover , Vaishali Yadav , Bradly Alicea

An iterative computer-aided ideation procedure is introduced, building on recent quality-diversity algorithms, which search for diverse as well as high-performing solutions. Dimensionality reduction is used to define a similarity space, in…

Neural and Evolutionary Computing · Computer Science 2018-07-26 Alexander Hagg , Alexander Asteroth , Thomas Bäck

Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The…

Human-Computer Interaction · Computer Science 2023-09-06 Danqing Huang , Jiaqi Guo , Shizhao Sun , Hanling Tian , Jieru Lin , Zheng Hu , Chin-Yew Lin , Jian-Guang Lou , Dongmei Zhang

Interactive facial image manipulation attempts to edit single and multiple face attributes using a photo-realistic face and/or semantic mask as input. In the absence of the photo-realistic image (only sketch/mask available), previous…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Yan Yang , Md Zakir Hossain , Tom Gedeon , Shafin Rahman

Incorporating style-related objectives into shape design has been centrally important to maximize product appeal. However, stylistic features such as aesthetics and semantic attributes are hard to codify even for experts. As such,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Yu-hsuan Chen , Levent Burak Kara , Jonathan Cagan

The linking genotype to phenotype is the fundamental aim of modern genetics. We focus on study of links between gene expression data and phenotype data through integrative analysis. We propose three approaches. 1) The inherent complexity of…

Quantitative Methods · Quantitative Biology 2015-06-30 Min Xu
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