Arturo Castellanos

According to our database, Arturo Castellanos authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Conceptual Modeling: Topics, Themes, and Technology Trends.

Veda C. Storey, Roman Lukyanenko, Arturo Castellanos

ACM Comput. Surv., 2023

Fast kernel half-space depth for data with non-convex supports.

Arturo Castellanos, Pavlo Mozharovskyi, Florence d'Alché-Buc, Hicham Janati

CoRR, 2023

Conceptual Alignment Method.

Wolfgang Maass, Arturo Castellanos, Monica C. Tremblay, Roman Lukyanenko, Veda C. Storey, Jonas S. Almeida

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

AI Explainability: Embedding Conceptual Models.

Wolfgang Maass, Arturo Castellanos, Monica C. Tremblay, Roman Lukyanenko, Veda C. Storey

Proceedings of the 43rd International Conference on Information Systems, 2022

ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI.

Wolfgang Maass, Arturo Castellanos, Monica Chiarini Tremblay, Roman Lukyanenko, Veda C. Storey

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

Quantum communication complexity of distribution testing.

Aleksandrs Belovs, Arturo Castellanos, Francois Le Gall, Guillaume Malod, Alexander A. Sherstov

Quantum Inf. Comput., 2021

From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World.

Jan Recker, Roman Lukyanenko, Mohammad Jabbari, Binny M. Samuel, Arturo Castellanos

MIS Q., 2021

Conceptual Modeling in a Digital World: A New Framework and Research Agenda (Extended Abstract).

Jan Recker, Roman Lukyanenko, Mohammad Jabbari, Binny M. Samuel, Arturo Castellanos

EMISA Forum, 2021

Research Agenda for Basic Explainable AI.

Roman Lukyanenko, Arturo Castellanos, Binny M. Samuel, Monica C. Tremblay, Wolfgang Maass

Proceedings of the 27th Americas Conference on Information Systems, 2021

Improving Machine Learning Performance Using Conceptual Modeling.

Arturo Castellanos, Alfred Castillo, Monica Chiarini Tremblay, Roman Lukyanenko, Jeffrey Parsons, Veda C. Storey

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

Basic Classes in Conceptual Modeling: Theory and Practical Guidelines.

Arturo Castellanos, Monica Chiarini Tremblay, Roman Lukyanenko, Binny M. Samuel

J. Assoc. Inf. Syst., 2020

Introducing GSO: A General Systemist Ontology.

Roman Lukyanenko, Veda Storey, Arturo Castellanos

Proceedings of the ER Forum, 2020

Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI.

Roman Lukyanenko, Arturo Castellanos, Veda C. Storey, Alfred Castillo, Monica Chiarini Tremblay, Jeffrey Parsons

Proceedings of the Advances in Conceptual Modeling, 2020

Modeling Observational Crowdsourcing.

Arturo Castellanos, Roman Lukyanenko, Veda C. Storey

Proceedings of the ER Forum, 2020

2019

Inferring Structure for Design: An Inductive Approach to Ontology Generation.

Alfred Castillo, Arturo Castellanos, Debra E. VanderMeer

Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), 2019

Using Conceptual Modeling to Support Machine Learning.

Roman Lukyanenko, Arturo Castellanos, Jeffrey Parsons, Monica Chiarini Tremblay, Veda C. Storey

Proceedings of the Information Systems Engineering in Responsible Information Systems, 2019

2018

ExUP recommendations: Inferring user's product metadata preferences from single-criterion rating systems.

Alfred Castillo, Debra E. VanderMeer, Arturo Castellanos

Decis. Support Syst., 2018

Digitization of Land Records: From Paper to Blockchain.

Raquel Benbunan-Fich, Arturo Castellanos

Proceedings of the International Conference on Information Systems, 2018

2017

Understanding Benefits and Limitations of Unstructured Data Collection for Repurposing Organizational Data.

Arturo Castellanos, Alfred Castillo, Roman Lukyanenko, Monica Chiarini Tremblay

Proceedings of the Information Systems: Research, Development, Applications, Education, 2017

Multi-Paradigmatic Theorizing: Mixing Design and Exploration.

Alireza Amrollahi, Roman Lukyanenko, Arturo Castellanos

Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016

Prominent voices and prevalent discourses: A corporate social responsibility application.

Carlos M. Parra, Monica Chiarini Tremblay, Arturo Castellanos

Proceedings of the Eleventh International Conference on Digital Information Management, 2016

2015

Analyzing Corporate Social Responsibility Reports Using Unsupervised and Supervised Text Data Mining.

Monica Chiarini Tremblay, Carlos M. Parra, Arturo Castellanos

Proceedings of the New Horizons in Design Science: Broadening the Research Agenda, 2015

Corporate Social Responsibility Reports: Understanding Topics via Text Mining.

Arturo Castellanos, Carlos M. Parra, Monica Chiarini Tremblay

Proceedings of the 21st Americas Conference on Information Systems, 2015

2014

Improving Case Management via Statistical Text Mining in a Foster Care Organization.

Alfred Castillo, Arturo Castellanos, Monica Chiarini Tremblay

Proceedings of the Advancing the Impact of Design Science: Moving from Theory to Practice, 2014

Improving Case Management via Statistical Text Mining of in a Foster Care Organization: Examining Psychotropic.

Arturo Castellanos, Alfred Castillo, Monica C. Tremblay

Proceedings of the AMIA 2014, 2014