-
Chapter and Conference Paper
Estimating Expected Student Academic Performance
In recent decades, society has a primary need for improving education systems. Predicting the performance of students has become a reference topic very analyzed by the research community. Currently, there are ...
-
Article
Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections
Agreement technologies refer to a novel paradigm for the construction of distributed intelligent systems, where autonomous software agents negotiate to reach agreements on behalf of their human users. Smart Ci...
-
Article
A multivariate model of time to conversion from mild cognitive impairment to Alzheimer’s disease
The present study was aimed at determining which combination of demographic, genetic, cognitive, neurophysiological, and neuroanatomical factors may predict differences in time to progression from mild cogniti...
-
Article
Versatile Linkage: a Family of Space-Conserving Strategies for Agglomerative Hierarchical Clustering
Agglomerative hierarchical clustering can be implemented with several strategies that differ in the way elements of a collection are grouped together to build a hierarchy of clusters. Here we introduce versati...
-
Chapter and Conference Paper
Legal Implications of Novel Taxi Assignment Strategies
In the last years, many novel applications have appeared that promote the provision of services or activities in a collaborative way. Examples of such proposals are collaborative transportation services (uber,...
-
Article
Open AccessImpact of origin-destination information in epidemic spreading
The networked structure of contacts shapes the spreading of epidemic processes. Recent advances on network theory have improved our understanding of the epidemic processes at large scale. The relevance of seve...
-
Article
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems
Intrusion detection systems are devoted to monitor a network with aims at finding and avoiding anomalous events. In particular, we focus on misuse detection systems, which are trained to identify several known...
-
Chapter and Conference Paper
A Two-Phase Context-Aware Approach to Emergency Evacuation in Smart Buildings
Evacuation in buildings during emergency situations is crucial to the safety of people, therefore a pragmatic response plan is desirable. Due to the lack of awareness in buildings, either occupants have to wai...
-
Chapter and Conference Paper
Inclusive AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing
Artificial Intelligence (AI) domain-specific applications may have different ethical and legal implications depending on the domain. One of the current questions of the AI is the challenges behind the analysis...
-
Chapter and Conference Paper
Investigation of Changes in Causality Throughout Life—A Magnetoencephalogram Study Using Granger Causality and Transfer Entropy
The use of magnetoencephalogram (MEG) signals in cognitive neuroscience research to investigate the functioning of the brain has increased over recent years. In this sensor space study, Granger Causality (GC) ...
-
Chapter and Conference Paper
Dynamic Delivery Plan Adaptation in Open Systems
Open fleets offer a dynamic environment where the fleet is continually rebuilt ad-hoc since vehicles can enter or leave the fleet anytime, and the only immutable entity is the item to be delivered. Therefore, ...
-
Chapter and Conference Paper
On the Use of Elevators During Emergency Evacuation
In this paper, we study the use of elevators during the time of emergency evacuation. We review the State-of-the-Art and analyze the risks, benefits, and safety measures associated with the use of elevators du...
-
Chapter and Conference Paper
A Group Evacuation Method for Smart Buildings
Mass evacuation of people in buildings during emergencies is still a burning question regarding safety and reliability. Due to lack of information, crowd prefers to evacuate in the form of random groups. This...
-
Chapter and Conference Paper
Teaching Effectiveness: An Innovative Evaluation Model
The evaluation of teaching effectiveness is an important process of higher educational institutions. Having regulations, policies and procedures that guide the teaching activity strengthens the quality of teac...
-
Chapter and Conference Paper
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing
Addressing the huge amount of data continuously generated is an important challenge in the Machine Learning field
-
Chapter
Designing User Interfaces for the Elderly
influence the way people use computer systems and devices. Research in the HCI and domains has offered guidelines and methods that guide the design and the evaluation of applications targeting the steadil...
-
Chapter and Conference Paper
Balancing Strategies for Bike Sharing Systems
The increase of population in big cities has produced several problems related to mobility of humans in the city, such as congestions, CO2 emissions, etc. Lately, governments are trying to mitigate this situat...
-
Chapter
Integrating Robots and WSN: Communication and Interfacing Aspects
In the context of RADIO project, seamless integration of Robotic platform, heterogenous technologies and diverse back infrastructures comprised an integral challenge to the success of the overall endeavor. T...
-
Article
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
Class imbalance occurs when data elements are unevenly distributed among classes, which poses a challenge for classifiers. The core focus of the research community has been on binary-class imbalance, although ...
-
Article
Open AccessSurveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers
The development of new ortholog detection algorithms and the improvement of existing ones are of major importance in functional genomics. We have previously introduced a successful supervised pairwise ortholog...
