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Details

  • Name

    Vítor Santos Costa
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st January 2009
007
Publications

2022

Data Type Inference for Logic Programming

Authors
Barbosa, J; Florido, M; Costa, VS;

Publication
LOGIC-BASED PROGRAM SYNTHESIS AND TRANSFORMATION (LOPSTR 2021)

Abstract
In this paper we present a new static data type inference algorithm for logic programming. Without the need for declaring types for predicates, our algorithm is able to automatically assign types to predicates which, in most cases, correspond to the data types processed by their intended meaning. The algorithm is also able to infer types given data type definitions similar to data definitions in Haskell and, in this case, the inferred types are more informative, in general. We present the type inference algorithm, prove it is decidable and sound with respect to a type system, and, finally, we evaluate our approach on example programs that deal with different data structures.

2022

Online Learning of Logic Based Neural Network Structures

Authors
Guimaraes, V; Costa, VS;

Publication
INDUCTIVE LOGIC PROGRAMMING (ILP 2021)

Abstract

2022

Impact of the glycaemic sampling method in diabetes data mining

Authors
Machado, D; Costa, VS; Brandão, P;

Publication
IEEE Symposium on Computers and Communications, ISCC 2022, Rhodes, Greece, June 30 - July 3, 2022

Abstract
Finger-pricking is the traditional procedure for glycaemia monitoring. It is an invasive method where the person with diabetes is required to prick their finger. In recent years, continuous-glucose monitoring (CGM), a new and more convenient method of glycaemia monitoring, has become prevalent. CGM provides continuous access to glycaemic values without the need of finger-pricking. Data mining can be used to understand glycaemic values, and to ideally warn users of abnormal situations. CGM provides significantly more data than finger-pricking. Thus, the amount and value of CGM data ultimately questions the role of finger-pricking for glycaemic studies. In this work we use the OhioTlDM data set in order to study the importance of finger-prick-based data. We use Random Forest as a classification method, a robust method that tends to obtain quality results. Our results indicate that, although more demanding and scarcer, finger-prick-based glycaemic values have a significant role on diabetes management and on data mining. © 2022 IEEE.

2022

Typed SLD-Resolution: Dynamic Typing for Logic Programming

Authors
Barbosa, J; Florido, M; Costa, VS;

Publication
LOGIC-BASED PROGRAM SYNTHESIS AND TRANSFORMATION (LOPSTR 2022)

Abstract
The semantic foundations for logic programming are usually separated into two different approaches. The operational semantics, which uses SLD-resolution, the proof method that computes answers in logic programming, and the declarative semantics, which sees logic programs as formulas and its semantics as models. Here, we define a new operational semantics called TSLD-resolution, which stands for Typed SLD-resolution, where we include a value wrong, that corresponds to the detection of a type error at run-time. For this we define a new typed unification algorithm. Finally we prove the correctness of TSLD-resolution with respect to a typed declarative semantics.

2022

Fifty Years of Prolog and Beyond

Authors
Korner, P; Leuschel, M; Barbosa, J; Costa, VS; Dahl, V; Hermenegildo, MV; Morales, JF; Wielemaker, J; Diaz, D; Abreu, S; Ciatto, G;

Publication
THEORY AND PRACTICE OF LOGIC PROGRAMMING

Abstract
Both logic programming in general and Prolog in particular have a long and fascinating history, intermingled with that of many disciplines they inherited from or catalyzed. A large body of research has been gathered over the last 50 years, supported by many Prolog implementations. Many implementations are still actively developed, while new ones keep appearing. Often, the features added by different systems were motivated by the interdisciplinary needs of programmers and implementors, yielding systems that, while sharing the classic core language, in particular, the main aspects of the ISO-Prolog standard, also depart from each other in other aspects. This obviously poses challenges for code portability. The field has also inspired many related, but quite different languages that have created their own communities. This article aims at integrating and applying the main lessons learned in the process of evolution of Prolog. It is structured into three major parts. First, we overview the evolution of Prolog systems and the community approximately up to the ISO standard, considering both the main historic developments and the motivations behind several Prolog implementations, as well as other logic programming languages influenced by Prolog. Then, we discuss the Prolog implementations that are most active after the appearance of the standard: their visions, goals, commonalities, and incompatibilities. Finally, we perform a SWOT analysis in order to better identify the potential of Prolog and propose future directions along with which Prolog might continue to add useful features, interfaces, libraries, and tools, while at the same time improving compatibility between implementations.

Supervised
thesis

2021

Detection of Encrypted Malware Command and Control Traffic

Author
Carlos António de Sousa Costa Novo

Institution
UP-FCUP

2020

Probabilistic Logic-based Models For Gene Regulatory Networks

Author
António José Santos Freitas Gonçalves

Institution
UP-FCUP

2020

NeuralLog: a Neural Logic Language

Author
Victor Augusto Lopes Guimarães

Institution
UP-FCUP

2020

Predictive Analytics for Dependent Data

Author
Mariana Rafaela Figueiredo Ferreira de Oliveira

Institution
UP-FCUP

2020

Exascale computing with custom Linear Mixed Model kernels and GPU accelerators for Genomic Wide Association Studies and personalized medicine

Author
Christopher David Harrison

Institution
UP-FCUP