|
|
|
|
|
Kaya ter Burg and Heysem Kaya
Classifying facial expressions is a vital part of developing systems capable of aptly interacting with users. In this field, the use of deep-learning models has become the standard. However, the inner workings of these models are unintelligible, which is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Panagiotis Pintelas and Ioannis E. Livieris
|
|
|
|
|
|
|
|
|
|
|
William Villegas-Ch, Joselin García-Ortiz and Angel Jaramillo-Alcazar
This paper investigated the importance of explainability in artificial intelligence models and its application in the context of prediction in Formula (1). A step-by-step analysis was carried out, including collecting and preparing data from previous rac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Stefan Wagenpfeil, Paul Mc Kevitt and Matthias Hemmje
Multimedia feature graphs are employed to represent features of images, video, audio, or text. Various techniques exist to extract such features from multimedia objects. In this paper, we describe the extension of such a feature graph to represent the me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima and Jean-Claude Ndogmo
The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis. DL models have shown remarkable promise for classifying brain tumors from Magnetic Resonance Imaging (M...
ver más
|
|
|
|
|
|
|
|
|
|
|
SeyedehRoksana Mirzaei, Hua Mao, Raid Rafi Omar Al-Nima and Wai Lok Woo
Explainable Artificial Intelligence (XAI) evaluation has grown significantly due to its extensive adoption, and the catastrophic consequence of misinterpreting sensitive data, especially in the medical field. However, the multidisciplinary nature of XAI ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Agorastos-Dimitrios Samaras, Maria Tsimara, Sofia Voidila, Nikolaos Papandrianos, Petros Zampakis, Serafeim Moustakidis, Elpiniki Papageorgiou and Christina Kalogeropoulou
A computer-aided diagnosis system for parathyroid disease classification can be a valuable tool for primary health care. Medical experts can utilize such tools to pinpoint unhealthy patients accurately and early, hence decongesting the National Healthcar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Darian M. Onchis, Flavia Costi, Codruta Istin, Ciprian Cosmin Secasan and Gabriel V. Cozma
(1) Background: Lung cancers are the most common cancers worldwide, and prostate cancers are among the second in terms of the frequency of cancers diagnosed in men. Automatic ranking of the risk groups of such diseases is highly in demand, but the clinic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Patrick Steinert, Stefan Wagenpfeil, Paul Mc Kevitt, Ingo Frommholz and Matthias Hemmje
The volume of multimedia assets in collections is growing exponentially, and the retrieval of information is becoming more complex. The indexing and retrieval of multimedia content is generally implemented by employing feature graphs. Feature graphs cont...
ver más
|
|
|
|
|
|
|
|
|
|
|
Serafeim Moustakidis, Spyridon Plakias, Christos Kokkotis, Themistoklis Tsatalas and Dimitrios Tsaopoulos
Understanding the performance indicators that contribute to the final score of a football match is crucial for directing the training process towards specific goals. This paper presents a pipeline for identifying key team-level performance variables in f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Teresa Gonçalves, Rute Veladas, Hua Yang, Renata Vieira, Paulo Quaresma, Paulo Infante, Cátia Sousa Pinto, João Oliveira, Maria Cortes Ferreira, Jéssica Morais, Ana Raquel Pereira, Nuno Fernandes and Carolina Gonçalves
This paper presents an analysis of the calls made to the Portuguese National Health Contact Center (SNS24) during a three years period. The final goal was to develop a system to help nurse attendants select the appropriate clinical pathway (from 59 optio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francisco Pérez Moreno, Víctor Fernando Gómez Comendador, Raquel Delgado-Aguilera Jurado, María Zamarreño Suárez and Rosa María Arnaldo Valdés
The Air Traffic Control (ATC) system suffers from an ever-increasing demand for aircraft, leading to capacity issues. For this reason, airspace is regulated by limiting the entry of aircraft into the airspace. Knowledge of these regulations before they o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tim Hulsen
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Examples of AI techniques are machine learni...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jozo Dujmovic and William L. Allen III
All professional decisions prepared for a specific stakeholder can and must be explained. The primary role of explanation is to defend and reinforce the proposed decision, supporting stakeholder confidence in the validity of the decision. In this paper w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Enayat Rajabi and Somayeh Kafaie
Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals. Knowledge graphs can be used in XAI for explainability by structuri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna and James Y. Zou
Interpretability is becoming an active research topic as machine learning (ML) models are more widely used to make critical decisions. Tabular data are one of the most commonly used modes of data in diverse applications such as healthcare and finance. Mu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Suhwan Lee, Marco Comuzzi and Nahyun Kwon
The development of models for process outcome prediction using event logs has evolved in the literature with a clear focus on performance improvement. In this paper, we take a different perspective, focusing on obtaining interpretable predictive models f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Mareike Dornhöfer and Madjid Fathi
In modern industrial systems, collected textual data accumulates over time, offering an important source of information for enhancing present and future industrial practices. Although many AI-based solutions have been developed in the literature for a do...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ghada El-khawaga, Mervat Abu-Elkheir and Manfred Reichert
Predictive Process Monitoring (PPM) has been integrated into process mining use cases as a value-adding task. PPM provides useful predictions on the future of the running business processes with respect to different perspectives, such as the upcoming act...
ver más
|
|
|
|
|
|