Employees balance and stability as key points in organizational performance José Neves, Nuno Maia, Goreti Marreiros, Mariana Neves, Ana Fernandes, et al. Logic Journal of the Igpl, 2022 System analyses deal with interrelationships between different variables that keep the system in balance. In many analysis of complex thinking, a system is viewed as a complex unit in which the ‘whole’ is not reduced to the ‘sum’ of its parts; the system becomes an ambiguous item because it consists of several entities that interact with unforeseen results or, in other words, it is situated at a transdisciplinary level, it is impossible for an area to have a complete reading of its complexity. It was also mentioned that the concept of the open system best describes complexity by stating that ‘the laws of the organization are not equilibrium, but an imbalance that is restored or compensated for by stabilized dynamics’. This idea originated from the field of thermodynamics and the second law, in which the imbalance that it maintains allows the system for an apparent balance. This fragile steady state has something of a paradox, since the structures remain the same, but their constituents are changeable. The concept of open system undoes the door to a theory of evolution that can only derive from the interactions between a system and its ecosystem. Within this systemic approach, the focus of the analysis takes into account the ambiguity, multidisciplinary and complexity associated with system adjustment, i.e. it is intended to qualify an employee job based on their experience and knowledge as a measure of their impact on the organization performance.
Dyscalculia: A behavioural vision Filipa Ferraz, José Neves, Victor Alves, Henrique Vicente Lecture Notes in Electrical Engineering, 2019 Learning Disabilities (LD) constitute a diverse group of disorders in which children who generally possess at least average intelligence have problems processing information or generating output, i.e., LD may be interpreted as a neurologically-based processing problem. The causes and treatment of LD, namely reading disorders has been the subject of considerable thought and study. Being one among others, this is the reason why this work will focus on dyscalculia and in its different manifestations and how they may interfere with the children natural development. It will be assessed it in terms of a measurement of the child’s entropy, a thermodynamic quantity representing the unavailability of a child brain energy for conversion into mental work, and seen as the degree of disorder or randomness in the brain, i.e., lack of order or predictability; gradual decline into disorder; an arena where entropy reigns supreme. In one’s work it reigns in a specific interval, i.e., one may have two scenarios, namely the worst and the best one. The formal background will be grounded in the use of Logic Programming to set the architecture of a Function Machine to assess LD and built on base of a Deep Learning approach to Knowledge Representation and Reasoning.
A MRI View of Brain Tumor Outcome Prediction Cristiana Neto, Inês Dias, Maria Santos, Victor Alves, Filipa Ferraz, et al. Advances in Science Technology and Innovation, 2019 On the one hand, cancer and tumor are one of the most feared terms in today’s society. It refers to an unstable growth of cells that potentially invade the surrounding tissues and may eventually lead to edema or even death. On the other hand, the term tumor is often misleading since people assume that it is the same as cancer, but this is not necessarily true. A cancer is a particularly threatening type of tumor. The word tumor simply refers to a mass, and in particular a brain tumor is a mass located in the patient’s brain that may seriously threaten his/her life. Thus, it is crucial to study which factors may influence the outcome of a brain tumor to improve the given treatment or even make the patient more contented. Therefore, this study presents a decision support system based on Magnetic Resonance Imaging (MRI) data or knowledge (if the data is presented in context) that allows for brain tumor outcome prediction. It describes an innovative approach to cater for brain illness where Logic Programming comes in support of a computational approach based on Case Based Reasoning. An attempt is made to predict whether a patient will die or survive with or without a tumor, where the data or knowledge may be of type unknown, incomplete or even self-contradictory.
Prediction of neoadjuvant chemotherapy outcome in breast cancer patients José Neves, Almeida Dias, Cristiana Silva, Diana Ferreira, Luís Costa, et al. Lecture Notes in Electrical Engineering, 2019 Breast Cancer is the most common invasive cancer in women worldwide. Indeed, it is imperative to investigate which factors influence the development of this disease in order to improve the efficiency of the treatment and to allow for a balanced follow-up. In fact, this article has in mind an original Case Based Reasoning (CBR) approach to problem solving, complemented with a novel approach to Knowledge Representation and Reasoning that takes into consideration the data items entropic states. It works towards cancer’s assessment after Neoadjuvant Chemotherapy in terms of its size, shape, and texture.
Assessing Individuals Learning’s Impairments from a Social Entropic Perspective José Neves, Filipa Ferraz, Almeida Dias, António Capita, Liliana Ávidos, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019 Individuals with Learning Impairments (LI) may have not only language problems as reading, spelling and writing, but also difficulties in terms of their relationship with the society, i.e., may have glitches not only with language but also with social handiness. On the other hand, the dimension that most contributes to the process of acceptance or integration of an individual in a learning environment or in the society in general, is Emotional Intelligence, i.e., emotion is the foundation for creativity, passion, optimism, drive, and transformation. Motivation is a synonym for enthusiasm, initiative, and persistence. The technical skills have passed to the bottom, since they denote the rational that sustains an individual’s involvement in such processes. Indeed, among other things, this is the reason why this work focuses on LI and its various manifestations and how it may affect, evaluate and treat the natural development of a human being and the environment (society) in which him/her is immersed.
Predicting diabetic foot maturing through evolutionary computation José Neves, André Alves, Marco Prata, Mário Ribeiro, Victor Alves, et al. Lecture Notes in Networks and Systems, 2019 It is a twenty-first-century disease, its numbers are still growing exponentially. This brings one to the subject of this work, the Maturing of Diabetic Foot which, like diabetes, rises to values never seen before. It is envisaging the development of an ImageJ plug-into extract relevant feature from diabetic foot images and, in conjunction with the patient’s clinical and lifelong data, a computational system to predict and evaluate its severity. The applied problem-solving method is based on a symbolic/sub-symbolic line of logical formalisms that make complex systems easier to develop and analyze, where solutions to new problems are based on answers to previous ones, and itemized as a Case-Based Reasoning/Artificial Neural Network approach to computing.
A deep learning line to assess patient’s lung cancer stages André Dias, João Fernandes, Rui Monteiro, Joana Machado, Filipa Ferraz, et al. Advances in Intelligent Systems and Computing, 2019 Our goal is to pursue a vision of developing and maintaining a comprehensive and integrated computer model to help physicians plan the most appropriate treatment and anticipate a patient’s prospects for the extent of cancer. For example, cancer can be treated at an early stage by surgery or radiation, while chemotherapy may be the care for more advanced stages. In fact, early detection of this type of cancer facilitates its treatment and may rise the patients’ prospect of a continued existence. Thus, a formal view of an intelligent system for performing cancer feature extraction and analysis in order to establish the bases that will help physicians plan treatment and predict patient’s prognosis is presented. It is based on the Logic Programming Language and draws a line between Deep Learning and Knowledge Representation and Reasoning, and is supported by a Case Based attitude to computing. In fact, despite the fact that each patient’s condition is different, treating cancer at the same stage is often similar.
Entropy and Organizational Performance José Neves, Nuno Maia, Goreti Marreiros, Mariana Neves, Ana Fernandes, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019 The main purpose of this article is to analyze the impact of the workers’ behavior in terms of their emotions and feelings in system’s performance, i.e., one is looking at issues concerned with Organizational Sustainability. Indeed, one’s aim is to define a process that motivates and inspires managers and personnel to act upon the limit, i.e., to achieve the organizational goals through an effective and efficient implementation of operational and behavioral strategies. The focus will be on the importance of specific psychosocial variables that may affect collective pro-organizational attitudes. Data that is increasing exponentially, and somehow being out of control, i.e., the question is to know the correct value of the information that may be behind these numbers.
A Deep-Big Data Approach to Health Care in the AI Age José Neves, Henrique Vicente, Marisa Esteves, Filipa Ferraz, António Abelha, et al. Mobile Networks and Applications, 2018 The intersection of these two trends is what we call The Issue and it is helping businesses in every industry to become more efficient and productive. One’s aim is to have an insight into the development and maintenance of comprehensive and integrated health information systems that enable sound policy and effective health system management in order to improve health and health care. Undeniably, different sorts of technologies have been developed, each with their own advantages and disadvantages, which will be sorted out by attending at the impact that Artificial Intelligence and Decision Support Systems have to everyone in the healthcare sector engaged to quality-of-care, i.e., making sure that doctors, nurses, and staff have the training and tools they need to do their jobs.
Chest X-ray image analysis: A vision of logic programming João Neves, Ricardo Faria, Victor Alves, Filipa Ferraz, Henrique Vicente, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Waiting time screening in healthcare José Neves, Henrique Vicente, Marisa Esteves, Filipa Ferraz, António Abelha, et al. Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2018
A case-based reasoning approach to GBM evolution Ana Mendonça, Joana Pereira, Rita Reis, Victor Alves, António Abelha, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Gaming in dyscalculia: A review on disMAT Filipa Ferraz, António Costa, Victor Alves, Henrique Vicente, João Neves, et al. Advances in Intelligent Systems and Computing, 2017
Multimodal video and radar system for edge devices object detection F Ferraz, E Coelho, H Peixoto, D Durçes, P Melo-Pinto, V Alves, ... Logic Journal of the IGPL 34 (1), jzaf043 , 2026 2026
Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy F Lemos, V Alves, F Ferraz arXiv preprint arXiv:2507.03620 , 2025 2025 Citations: 3
Towards a machine learning framework for predicting MicroRNAs involved in Candidiasis T Miranda, F Ferraz, M Henriques, SC Silva, BF Gonçalves 2025
Transversal PACS Browser API: Addressing Interoperability Challenges in Medical Imaging Systems D Lameira, F Ferraz arXiv preprint arXiv:2412.14229 , 2024 2024 Citations: 1
Employees balance and stability as key points in organizational performance J Neves, N Maia, G Marreiros, M Neves, A Fernandes, J Ribeiro, I Araújo, ... Logic Journal of the IGPL 30 (4), 664-678 , 2022 2022 Citations: 27
An evolving cognitive approach to dyscalculia screening and therapeutics FT Ferraz PQDT-Global , 2022 2022 Citations: 2
A multi-valued logic assessment of organizational performance via workforce social networking J Neves, F Fdez-Riverola, V Alves, F Ferraz, L Sousa, A Costa, J Ribeiro, ... Big Data Technologies and Applications: 10th EAI International Conference … , 2021 2021 Citations: 11
Entropy and organizational performance J Neves, N Maia, G Marreiros, M Neves, A Fernandes, J Ribeiro, I Araújo, ... Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS … , 2019 2019 Citations: 42
Prediction of neoadjuvant chemotherapy outcome in breast cancer patients J Neves, A Dias, C Silva, D Ferreira, L Costa, F Ferraz, V Alves, J Neves, ... Applied Physics, System Science and Computers III: Proceedings of the 3rd … , 2019 2019 Citations: 2
Predicting diabetic foot maturing through evolutionary computation J Neves, A Alves, M Prata, M Ribeiro, V Alves, F Ferraz, J Neves, ... Computing and Network Sustainability: Proceedings of IRSCNS 2018, 109-117 , 2019 2019 Citations: 1
A MRI view of brain tumor outcome prediction C Neto, I Dias, M Santos, V Alves, F Ferraz, J Neves, H Vicente, J Neves Creative Business and Social Innovations for a Sustainable Future … , 2019 2019
Assessing Individuals Learning's Impairments from a Social Entropic Perspective J Neves, F Ferraz, A Dias, A Capita, L Ávidos, N Maia, J Machado, ... Lecture Notes in Artificial Intelligence 11431, 62-73 , 2019 2019 Citations: 4
Dyscalculia: a behavioural vision F Ferraz, J Neves, V Alves, H Vicente Applied Physics, System Science and Computers II: Proceedings of the 2nd … , 2019 2019 Citations: 4
Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening F Fonseca, P Loreto, V Alves, I Araújo, J Machado, J Ribeiro, C Analide, ... Mining Intelligence and Knowledge Exploration: 6th International Conference … , 2018 2018
Predicative vagueness in lung metastases in soft tissue sarcoma screening J Neves, A Dias, A Morais, F Fonseca, P Loreto, V Alves, I Araújo, ... International Conference on Mining Intelligence and Knowledge Exploration, 80-89 , 2018 2018 Citations: 4
Waiting time screening in healthcare J Neves, H Vicente, M Esteves, F Ferraz, A Abelha, J Machado, ... Big Data Technologies and Applications: 8th International Conference, BDTA … , 2018 2018 Citations: 5
Waiting Time Screening in Healthcare H Vicente, F Ferraz, A Abelha¹ Big Data Technologies and Applications: 8th International Conference, BDTA … , 2018 2018
A Deep Learning Line to Assess Patient’s Lung Cancer Stages A Dias, J Fernandes, R Monteiro, J Machado, F Ferraz, J Neves, ... Third International Congress on Information and Communication Technology … , 2018 2018 Citations: 3
A Case-Based Reasoning Approach to GBM Evolution A Mendonça, J Pereira, R Reis, V Alves, A Abelha, F Ferraz, J Neves, ... International Conference on Computational Collective Intelligence, 489-498 , 2018 2018 Citations: 2
A deep-big data approach to health care in the AI age J Neves, H Vicente, M Esteves, F Ferraz, A Abelha, J Machado, ... Mobile Networks and Applications 23 (4), 1123-1128 , 2018 2018 Citations: 48
MOST CITED SCHOLAR PUBLICATIONS
A deep-big data approach to health care in the AI age J Neves, H Vicente, M Esteves, F Ferraz, A Abelha, J Machado, ... Mobile Networks and Applications 23 (4), 1123-1128 , 2018 2018 Citations: 48
Entropy and organizational performance J Neves, N Maia, G Marreiros, M Neves, A Fernandes, J Ribeiro, I Araújo, ... Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS … , 2019 2019 Citations: 42
Employees balance and stability as key points in organizational performance J Neves, N Maia, G Marreiros, M Neves, A Fernandes, J Ribeiro, I Araújo, ... Logic Journal of the IGPL 30 (4), 664-678 , 2022 2022 Citations: 27
Collaborative process mapping to improve work instructions and standardized work M Florentina Abreu, AC Pereira, A Silva, F Silva, F Ferraz, AC Alves, ... Recent Advances in Information Systems and Technologies: Volume 1 5, 603-615 , 2017 2017 Citations: 27
Developing an ambient intelligent-based decision support system for production and control planning M Gomes, F Silva, F Ferraz, A Silva, C Analide, P Novais Intelligent Systems Design and Applications: 16th International Conference … , 2017 2017 Citations: 25
A brief look into dyscalculia and supportive tools F Ferraz, J Neves 2015 E-Health and Bioengineering Conference (EHB), 1-4 , 2015 2015 Citations: 21
Gaming in Dyscalculia: A Review on disMAT F Ferraz, A Costa, V Alves, H Vicente, J Neves, J Neves Recent Advances in Information Systems and Technologies: Volume 2 5, 232-241 , 2017 2017 Citations: 17
A deep learning approach to case based reasoning to the evaluation and diagnosis of cervical carcinoma J Neves, H Vicente, F Ferraz, AC Leite, AR Rodrigues, M Cruz, ... Modern Approaches for Intelligent Information and Database Systems, 185-197 , 2018 2018 Citations: 13
Analysis of dyscalculia evidences through artificial intelligence systems F Ferraz, H Vicente, A Costa, J Neves J. Softw. Netw, 53-78 , 2016 2016 Citations: 13
A multi-valued logic assessment of organizational performance via workforce social networking J Neves, F Fdez-Riverola, V Alves, F Ferraz, L Sousa, A Costa, J Ribeiro, ... Big Data Technologies and Applications: 10th EAI International Conference … , 2021 2021 Citations: 11
Diagnosis of Alzheimer disease through an artificial neural network based system I Ramalhosa, P Mateus, V Alves, H Vicente, F Ferraz, J Neves, J Neves Advances in Human Factors in Simulation and Modeling: Proceedings of the … , 2018 2018 Citations: 8
Waiting time screening in healthcare J Neves, H Vicente, M Esteves, F Ferraz, A Abelha, J Machado, ... Big Data Technologies and Applications: 8th International Conference, BDTA … , 2018 2018 Citations: 5
Assessing Individuals Learning's Impairments from a Social Entropic Perspective J Neves, F Ferraz, A Dias, A Capita, L Ávidos, N Maia, J Machado, ... Lecture Notes in Artificial Intelligence 11431, 62-73 , 2019 2019 Citations: 4
Dyscalculia: a behavioural vision F Ferraz, J Neves, V Alves, H Vicente Applied Physics, System Science and Computers II: Proceedings of the 2nd … , 2019 2019 Citations: 4
Predicative vagueness in lung metastases in soft tissue sarcoma screening J Neves, A Dias, A Morais, F Fonseca, P Loreto, V Alves, I Araújo, ... International Conference on Mining Intelligence and Knowledge Exploration, 80-89 , 2018 2018 Citations: 4
An Artificial Intelligence Approach to Dyscalculia F Ferraz, J Neves, A Costa, H Vicente Mobile and Wireless Technologies 2016, 205-214 , 2016 2016 Citations: 4
A brief look into dyscalculia and supportive tools, In 2015 E-Health and Bioengineering Conference (EHB)(pp. 1-4) F Ferraz, J Neves IEEE. https://doi. org/10.1109/EHB , 2015 2015 Citations: 4
Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy F Lemos, V Alves, F Ferraz arXiv preprint arXiv:2507.03620 , 2025 2025 Citations: 3
A Deep Learning Line to Assess Patient’s Lung Cancer Stages A Dias, J Fernandes, R Monteiro, J Machado, F Ferraz, J Neves, ... Third International Congress on Information and Communication Technology … , 2018 2018 Citations: 3
Chest X-Ray Image Analysis: A Vision of Logic Programming J Neves, R Faria, V Alves, F Ferraz, H Vicente, J Neves Agents and Artificial Intelligence: 9th International Conference, ICAART … , 2018 2018 Citations: 3
