DIEGO ALONSO; ARIEL MONTESERIN; LUIS BERDUN

An Interaction-Aware Approach for Social Influence Maximization

IEEE LATIN AMERICA TRANSACTIONS; Lugar: New York; Año: 2023 vol. 21 p. 1171 - 1180

CHRISTIAN VILLAVICENCIO; SILVIA SCHIAFFINO; J. ANDRES DIAZ PACE; ARIEL MONTESERIN

An approach for explaining group recommendations based on negotiation information

IAES International Journal of Artificial Intelligence; Año: 2022

VARONA, BRAIAN; MONTESERIN, ARIEL; TEYSEYRE, ALFREDO

A deep learning approach to automatic road surface monitoring and pothole detection

PERSONAL AND UBIQUITOUS COMPUTING; Año: 2020 vol. 24 p. 519 - 534

VILLAVICENCIO, CHRISTIAN; SCHIAFFINO, SILVIA; ANDRES DIAZ-PACE, J.; MONTESERIN, ARIEL

Group recommender systems: A multi-agent solution

KNOWLEDGE-BASED SYSTEMS; Año: 2019 vol. 164 p. 436 - 458

MONTESERIN, ARIEL; ARMENTANO, MARCELO G.

Influence me! Predicting links to influential users

INFORMATION RETRIEVAL; Año: 2019 vol. 22 p. 32 - 54

CHRISTIAN VILLAVICENCIO; SILVIA SCHIAFFINO; J. ANDRES DIAZ PACE; ARIEL MONTESERIN

Using negotiation for group recommendation: a user-study on the movies domain

SADIO Electronic Journal of Informatic and Operation Research; Lugar: Buenos Aires; Año: 2018 vol. 17 p. 54 - 76

MONTESERIN, ARIEL; ARMENTANO, MARCELO

Influence-based approach to market basket analysis

INFORMATION SYSTEMS; Año: 2018 vol. 78 p. 214 - 224

JUAN FELDMAN; ARIEL MONTESERIN; ANALÍA AMANDI

Exploring the use of online video games to detect personality dichotomies

ONLINE INFORMATION REVIEW; Año: 2017 vol. 41

JUAN FELDMAN; ARIEL MONTESERIN; ANALÍA AMANDI

Can digital games help us identify our skills to manage abstractions?

APPLIED INTELLIGENCE; Lugar: Berlin; Año: 2016 vol. 45 p. 1103 - 1108

CHRISTIAN VILLAVICENCIO; SILVIA SCHIAFFINO; J. ANDRES DIAZ PACE; ARIEL MONTESERIN

A Group Recommendation System for Movies based on MAS Movies

Advances in Distributed Computing and Artificial Intelligence Journal; Año: 2016 vol. 5 p. 1 - 12

JUAN FELDMAN; ARIEL MONTESERIN; ANALÍA AMANDI

Automatic detection of learning styles: state of the art

ARTIFICIAL INTELLIGENCE REVIEW; Lugar: Berlin; Año: 2015 vol. 44 p. 157 - 186

ARIEL MONTESERIN; ANALÍA AMANDI

Whom should I persuade during a negotiation? An approach based on social influence maximization

DECISION SUPPORT SYSTEMS; Lugar: Amsterdam; Año: 2015 vol. 77 p. 1 - 20

LUCIANA BENOTTI; ARIEL MONTESERIN

Special issue on argentine symposium on artificial intelligence (ASAI 2013)

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2014 vol. 17 p. 1 - 2

JUAN FELDMAN; ARIEL MONTESERIN; ANALÍA AMANDI

Detecting Students' Perception Style by using Games

COMPUTERS AND EDUCATION; Lugar: Amsterdam; Año: 2014 vol. 71 p. 14 - 22

ARIEL MONTESERIN; ANALÍA AMANDI

Agents that learn how to generate arguments from other agents

NEW GENERATION COMPUTING; Lugar: Berlin; Año: 2013 vol. 32 p. 31 - 58

ARIEL MONTESERIN; ANALÍA AMANDI

A Reinforcement Learning Approach to Improve the Argument Selection Effectiveness in Argumentation-based Negotiation

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2013 vol. 40 p. 2182 - 2188

ARIEL MONTESERIN; ANALÍA AMANDI

Argumentation-based Negotiation Planning for Autonomous agents

DECISION SUPPORT SYSTEMS; Lugar: Amsterdam; Año: 2011 vol. 51 p. 532 - 548

ARIEL MONTESERIN; SILVIA SCHIAFFINO; ANALÍA AMANDI

Assisting Students with Argumentation Plans when Solving Problems in CSCL

COMPUTERS AND EDUCATION; Lugar: Amsterdam; Año: 2010 vol. 54 p. 416 - 426

ARIEL MONTESERIN; ANALÍA AMANDI

Building User Argumentative Models

APPLIED INTELLIGENCE; Lugar: Heidelberg; Año: 2010 vol. 32 p. 131 - 145

ARIEL MONTESERIN; ANALÍA AMANDI

Agents That Learn What Argument to Select In Argumentation-Based Negotiations

IADIS International Journal on Computer Science and Information System; Lugar: Lisboa; Año: 2010 vol. 5 p. 86 - 97