{"id":223,"date":"2021-10-14T07:14:29","date_gmt":"2021-10-14T04:14:29","guid":{"rendered":"https:\/\/panagiotis-filippakis.pro\/?page_id=223"},"modified":"2024-11-22T16:01:59","modified_gmt":"2024-11-22T14:01:59","slug":"basic-education","status":"publish","type":"page","link":"https:\/\/panagiotis-filippakis.pro\/index.php\/basic-education\/","title":{"rendered":"Basic Education"},"content":{"rendered":"
\n
\n\t\t\"\"\n\t<\/div>\n\n<\/div><\/div><\/div>

INTERNATIONAL HELLENIC UNIVERSITY<\/h3>\n
\n\t

(Phd Candidate)<\/small><\/h3>\n
\n
Thesis title:\u00a0Data reduction for complex training data<\/i><\/dt>\n
<\/dd>\n
Supervisor:\u00a0Ougiaroglou Stefanos<\/a><\/dt>\n
<\/dd>\n
Advisory Committee Members:<\/dt>\n
Dimitris A. Dervos , Professor, IHU
\nGeogios Evangelidis, Professor, University of Macedonia<\/dd>\n
Abstract:<\/dt>\n<\/dl>\n

The goal of the dissertation is the development of techniques for reducing the complex training data for instance-based classification. By the term \u201ccomplex data\u201d, we refer to data with multiple labels, data streams, data in non-Euclidean spaces, distributed data sets, etc. There are many data reduction techniques available in the literature for classification problems. These techniques either select prototypes (representative instances) (Prototype Selection) or generate prototypes by summarizing similar instances (Prototype Generation). The majority of these techniques address classification problems with relatively simple data, i.e., numerical data organized in rows and columns. In contrast, the research aims to the development of new data reduction techniques for complex data.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

\n
\n\t\t\"\"\n\t<\/div>\n\n<\/div><\/div><\/div>

INTERNATIONAL HELLENIC UNIVERSITY<\/h3>\n
\n\t

Postgraduate program (MSc)<\/p>\n

Field Of Study:Web Intelligence<\/p>\n

Grade:9,41\/10<\/p>\n

Dates attended:2018 \u2013 2021<\/p>\n

Activities and Societies:\u00a0The program aims to provide high-level education and produce research in Web Intelligence preparing young scientists who are able to professionally contribute to this innovative scientific area. Web Intelligence combines advanced web and Internet technologies with artificial intelligent systems.<\/p>\n

1st Semester Courses<\/p>\n

M101 Research Methods -9.5
\n\u039c102 Software Engineering for Web Applications -8.5
\n\u039c103 Internet Security -9.3
\n\u039c104 Mobile and Ubiquitous Computing Systems -10
\n\u039c105 Social Networking -7.3<\/p>\n

2nd Semester Courses<\/p>\n

\u039c201 Data Warehousing and Data Mining -9.6
\n\u039c202 Artificial Intelligence Techniques \u2013 Agents -9.3
\n\u039c203 Machine Learning -9.2
\n\u039c204 Web Information Retrieval -9.3
\n\u039c205 Semantic Web -9.2<\/p>\n

3nd Semester Courses
\nMsc Thesis -Data reduction techniques for Multilabel Datasets -10<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

\n
\n\t\t\"\"\n\t<\/div>\n\n<\/div><\/div><\/div>

Hellenic Open University<\/h3>\n
\n\t

Bachelor\u2019s degree<\/p>\n

Field Of Study: Computer Science<\/p>\n

Grade: 8.24\/10<\/p>\n

Dates attended: 2008 \u2013 2015<\/p>\n

Activities and Societies:\u00a0Bachelor\u2019s thesis in \u201cSelection and combination of classifiers for boosting AI(Artificial Intelligence) algorithmic performance: A case study in medical datasets\u201d. Evaluated by: Anagnostopoulos Christos-Nikolaos ( Associate Professor Cultural Technology & Communication Dpt., University of the Aegean ) Plagianakos Basilios (Associate Professor Department of Computer applications Biomedicine, University Thessaly) Kotsiantis Sotirios (Lecturer Department of Mathematics, University Patras).<\/p>\n

Courses:
\n\u2022 Introduction to computer science
\n\u2022 Programming techniques
\n\u2022 Data structures
\n\u2022 Programming languages (c,c++)
\n\u2022 Software engineering I
\n\u2022 Operating systems I
\n\u2022 Databases
\n\u2022 Linear algebra
\n\u2022 Single variable calculus
\n\u2022 Elements of probability theory
\n\u2022 Discrete mathematics
\n\u2022 Graph theory
\n\u2022 Mathematical logic
\n\u2022 Digital design I, II
\n\u2022 Computer architecture I
\n\u2022 Microprocessors
\n\u2022 Information theory and coding
\n\u2022 Digital communications
\n\u2022 Computer networks I
\n\u2022 Compilers
\n\u2022 Software engineering II
\n\u2022 Programming languages II \u2013 Object oriented programming
\n\u2022 Algorithms and complexity
\n\u2022 Computation Theory
\n\u2022 Automata and formal languages
\n\u2022 Artificial intelligence and expert systems
\n\u2022 Neural networks and applications
\n\u2022 Genetic algorithms and applications
\n\u2022 Telematics
\n\u2022 Internet \u2013 Web
\n\u2022 Computers and information society
\n\u2022 Computer Networks II
\n\u2022 New directions in networks and services
\n\u2022 Network design issues
\n\u2022 Java
\n\u2022 Php,HTML,CSS,Javascript
\n\u2022 Operating systems<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

\n
\n\t\t\"\"\n\t<\/div>\n\n<\/div><\/div><\/div>

SCHOOL OF TECHNICIAN AIR FORCE ACADEMY<\/h3>\n
\n\t

Bachelor\u2019s degree<\/p>\n

Field Of Study: Military Academy<\/p>\n

Grade: 88.69\/100<\/p>\n

Dates attended: 1996 \u2013 1998<\/p>\n

MILITARY AND ACADEMIC TRAINING.
\nSurveillance,identification and Air policing of Flight Region Information (FIR).<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

(Phd Candidate) Thesis title:\u00a0Data reduction for complex training data Supervisor:\u00a0Ougiaroglou Stefanos Advisory Committee Members: Dimitris A. Dervos , Professor, IHU Geogios Evangelidis, Professor, University of Macedonia Abstract: The goal of the dissertation is the development of techniques for reducing the complex training data for instance-based classification. By the term \u201ccomplex data\u201d, we refer to data… \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 »Basic Education<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"off","neve_meta_content_width":100,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-223","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/pages\/223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/comments?post=223"}],"version-history":[{"count":20,"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/pages\/223\/revisions"}],"predecessor-version":[{"id":498,"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/pages\/223\/revisions\/498"}],"wp:attachment":[{"href":"https:\/\/panagiotis-filippakis.pro\/index.php\/wp-json\/wp\/v2\/media?parent=223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}