Christos Kaklamanis's research while affiliated with University of Patras and other places

... Logistic regression is a machine learning algorithm based on integrated learning and consists of multiple decision trees [13] . In constructing each decision tree, Random Forest is trained by randomly selecting features and samples, and then integrating the prediction results of each tree to make the final prediction. ...

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Quantifying and Predicting Tennis Match Momentum: An LGBM-Based Analysis and Visualization Model

... In its construction the Leaflet uses an Open Source map, namely OpenStreetMap [21]. OpenStreetMap is a web-based project to create a free and open world map, built entirely by volunteers by conducting surveys using GPS, digitizing satellite imagery, and collecting and releasing publicly available geographic data [22], [23]. The difference as well as novelty from previous studies is the development of a village virtual tour system combines elements of interactive maps and panoramic images of tourist attractions so that visitors can easily find routes and locations of tourist attractions and get a complete picture of the tourist attraction with panoramic images they see. ...

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Design and Implementation of Digital Tourism Village Virtual Tour

... Closer to our work from a methodological perspective, there are many works that want to learn user preferences, by e.g., fitting some parameterized generative model to the data [GS09; LB14; Vit+17; ALY22]. Particularly closely related to the present paper are works on the sample complexity of such learning algorithms [Awa+14; BHS14; CM17a; LM18; CI21], and the capabilities of different rules to recover a ground truth [PRS12;Car+22]. Notably, the problem that we study also captures some of these learning problems by interpreting latent rankings as the underlying ground truth and biased rankings as voters' noisy estimates of the ground truth. Thereby, we recover settings studied, e.g., by Procaccia, Reddi, and Shah [PRS12] and Caragiannis et al. [Car+22]. ...

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Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions

... e agents correspond to nodes in a connected graph and their preferences are de ned so that shorter graph distance implies higher preference. In [KKPP21] we focused on fractional hedonic games and social distance games and we proved improved bounds on the price of stability. ...

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Multi-Agent Systems for Computational Economics and Finance

... He is also a fulltime faculty member of the Computer Science Department. He has more than twenty (20) years of teaching experience. He graduated with the degree of Bachelor of Science in Computer Science from the Pamantasan ng Lungsod ng Maynila. ...

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Enhancement Of Gale-Shapley algorithm with imbalanced sets for hiring and job finding applications

... The study of group deliberation is a broad and interdisciplinary area, see, e.g., (Austen-Smith and Feddersen 2005;Hafer and Landa 2007;Patty 2008;List 2011;List et al. 2013;Rad and Roy 2021;Perote-Peña and Piggins 2015;Karanikolas, Bisquert, and Kaklamanis 2019); we refer the reader to the work of Elkind et al. (2020) for further discussion. In particular, an important consideration is whether simple deliberation protocols that only involve a small number of participants can achieve a desirable outcome (Goel and Lee 2016;Fain et al. 2017); this question is similar to the one considered in Section 5 of our paper. ...

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Complexity of Deliberative Coalition Formation

... Other relevant argumentation frameworks are the attitude-computing approach inspired by social psychology as implemented in Thomopoulos et al. (2020) or the social choice oriented approach (Bisquert et al., 2019). Furthermore, some participants, had difficulty expressing their arguments. ...

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A web application based on argumentation frameworks and MCDA methods for real-time decision making - application to buildings retrofitting

... While there are increasing evidence that argumentation-based approaches are able to model human reasoning to a certain extent [117,118], the generation of arguments [119] and the expensive computation of some argumentation extensions [120], such as the preferred-semantics, are often limitations that prevent their wide-adoption in settings where fast decision-making is required. To accommodate such settings, Yun et al. have also considered rule-based approaches that can be applied directly to knowledge bases in the Ontology-Based Data Access (OBDA) setting [121,122]. In this setting, a set of well-designed rules (an ontology), is used to access and combine the knowledge of each agent, allowing for heterogeneous agents with different vocabularies (e.g., agents working in different application domain) to seamlessly communicate. ...

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Resilience, reliability, and coordination in autonomous multi-agent systems

... Brânzei and Larson's SDG model consisted of a graph G = (V, E) representing the social network, with V being the agents and E representing direct relationships or connections between the agents. To capture the utility of an agent v in a coalition C ⊆ V , the model considered a single function: u(v,C) = 1 |C| · ∑ w∈C\{v} 1 d C (v,w) where d C (v, w) is the distance between v and w inside C. Social distance games with the aforementioned utility function u have been the focus of extensive study to date, with a number of research papers specifically targeting algorithmic and complexitytheoretic aspects of forming coalitions with maximum social welfare [1,2,3,28]. Very recently, Flammini et al. [21,22] considered a generalization of u via an adaptive real-valued scoring vector which weights the contributions to an agent's utility according to the distances of other agents in the coalition, and studied the price of anarchy and stability for non-negative scoring vectors. ...

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Maximizing Social Welfare in Score-Based Social Distance Games

... Il offre ainsi différents avantages : (1) assurer la traçabilité des réflexions et des discussions, (2) mettre en évidence les points de désaccord et les opinions alternatives, (3) définir les arguments acceptables et inacceptables, et (4) expliquer les différents points de vue. Bien que pertinent d'un point de vue théorique, l'application d'une telle méthode à des décisions réelles est difficile ; la littérature fournit peu d'applications du AAF ; les applications existantes sont liées au domaine juridique (Flouris and Bikakis, 2019) et au domaine agricole (Karanikolas et al., 2018). En effet, l'utilisation du AAF dans un contexte réel conduit à plusieurs difficultés. ...

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A web application based on argumentation frameworks and MCDA methods for real-time decision making - application to buildings retrofitting