Reviewerly/exHarmony huggingface dataset:
Reconstructing Network Inputs with Additive Perturbation Signatures

In this work, we present preliminary results demonstrating the ability to recover a significant amount of information about secret model inputs given only very limited access to model outputs and the ability evaluate the model on additive perturbations to the input.
COMMUNICATING HEI INSIGHTS IN GRAPHIC DESIGN DISTANCE LEARNING: ONLINE FORUMS AND PEER LEARNING

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 5759-5768ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1416Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks

Deep networks consume a large amount of memory by their nature. A natural question arises can we reduce that memory requirement whilst maintaining performance. In particular, in this work we address the problem of memory efficient learning for multiple tasks. To this end, we propose a novel network architecture producing multiple networks of different configurations, termed deep virtual networks (DVNs), for different tasks. Each DVN is specialized for a single task and structured hierarchically. The hierarchical structure, which contains multiple levels of hierarchy corresponding to different numbers of parameters, enables multiple inference for different memory budgets. The building block of a deep virtual network is based on a disjoint collection of parameters of a network, which we call a unit. The lowest level of hierarchy in a deep virtual network is a unit, and higher levels of hierarchy contain lower levels' units and other additional units. Given a budget on the number of parameters, a different level of a deep virtual network can be chosen to perform the task. A unit can be shared by different DVNs, allowing multiple DVNs in a single network. In addition, shared units provide assistance to the target task with additional knowledge learned from another tasks. This cooperative configuration of DVNs makes it possible to handle different tasks in a memory-aware manner. Our experiments show that the proposed method outperforms existing approaches for multiple tasks. Notably, ours is more efficient than others as it allows memory-aware inference for all tasks.
The phylogeny number in the aspect of triangles and diamonds of a graph

Given an acyclic digraph $D$, the competition graph of $D$, denoted by $C(D)$, is the simple graph having vertex set $V(D)$ and edge set $\{uv \mid (u, w), (v, w) \in A(D) \text{ for some } w \in V(D) \}$. The phylogeny graph of an acyclic digraph $D$, denoted by $P(D)$, is the graph with the vertex set $V(D)$ and the edge set $E(U(D)) \cup E(C(D))$ where $U(D)$ denotes the underlying graph of $D$. The notion of phylogeny graphs was introduced by Roberts and Sheng~\cite{roberts1997phylogeny} as a variant of competition graph. Moral graphs having arisen from studying Bayesian networks are the same as phylogeny graphs. In this paper, we integrate the existing theorems computing phylogeny numbers of connected graph with a small number of triangles into one proposition: for a graph $G$ containing at most two triangle, $ |E(G)|-|V(G)|-2t(G)+d(G)+1 \le p(G) \le |E(G)|-|V(G)|-t(G)+1 $ where $t(G)$ and $d(G)$ denote the number of triangles and the number of diamond in $G$, respectively. Then we show that these inequalities hold for graphs with many triangles. In the process of showing it, we derive a useful theorem which plays a key role in deducing various meaningful results including a theorem that answers a question given by Wu~{\it et al.}~\cite{Wu2019}.
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Generalized zero-shot action recognition is a challenging problem, where the task is to recognize new action categories that are unavailable during the training stage, in addition to the seen action categories. Existing approaches suffer from the inherent bias of the learned classifier towards the seen action categories. As a consequence, unseen category samples are incorrectly classified as belonging to one of the seen action categories. In this paper, we set out to tackle this issue by arguing for a separate treatment of seen and unseen action categories in generalized zero-shot action recognition. We introduce an out-of-distribution detector that determines whether the video features belong to a seen or unseen action category. To train our out-of-distribution detector, video features for unseen action categories are synthesized using generative adversarial networks trained on seen action category features. To the best of our knowledge, we are the first to propose an out-of-distribution detector based GZSL framework for action recognition in videos. Experiments are performed on three action recognition datasets: Olympic Sports, HMDB51 and UCF101. For generalized zero-shot action recognition, our proposed approach outperforms the baseline (f-CLSWGAN) with absolute gains (in classification accuracy) of 7.0%, 3.4%, and 4.9%, respectively, on these datasets.
INNOVATIVE EDUCATIONAL EXPERIENCES OF ACADEMIC TEACHERS – THE CASE OF “EXPLORATORIUM - LEARNING THROUGH ENGAGEMENT”

INNOVATIVE EDUCATIONAL EXPERIENCES OF ACADEMIC TEACHERS – THE CASE OF “EXPLORATORIUM - LEARNING THROUGH ENGAGEMENT”
EXAMINING THE IMPACT OF A MOBILE DEVICE PROGRAM ON PRE-SERVICE TEACHERS’ ATTITUDES, EMOTIONS AND LEARNING RELATED TO TECHNOLOGY USE

EXAMINING THE IMPACT OF A MOBILE DEVICE PROGRAM ON PRE-SERVICE TEACHERS’ ATTITUDES, EMOTIONS AND LEARNING RELATED TO TECHNOLOGY USE
The Implementation Of Using Picture Book In Teaching Vocabulary To Young Learners (A Study at Second Grade Students of MI Sirajul Falah 01)

This study is aim to analyze the characteristics of picture book, materials and the implementation of using picture book in teaching vocabulary at MI Sirajul Falah 01. In this study, the writer used descriptive study in qualitative approach. The data source was taken from conducting the observation and interviewing the English teacher. From the data analysis, the writer could conclude that; the teacher used non comical picture book as a media in teaching vocabulary and used a strategy from Hickman, pollard-durodola and Vaughan in teaching vocabulary using picture book. Keywords: Vocabulary, Picture book, Qualitative
Teknik Dasar Menggunakan Videografi Di Dunia Broadcasting

Along with the changing times and by utilizing the latest technological sophistication videography can be enjoyed in various ways and any variety of formats offered by technology experts in the world.There are currently 2 types of videos are available, namely analog and digital.A videographer categorized or categorize themselves into two, namely the amateur videographer and professional videographer.Amateur or professional, in fact is only the term and sheer status. Unfortunately, it seems there is a presumption of amateur videographer if the result is definitely not good.And because the feel just amateurs, someone feel legitimate only if the video footage is not good.Instead, there is a presumption that a professional videographer can certainly produce good images.
Risk Aware Ranking for Top-$k$ Recommendations

Given an incomplete ratings data over a set of users and items, the preference completion problem aims to estimate a personalized total preference order over a subset of the items. In practical settings, a ranked list of top-$k$ items from the estimated preference order is recommended to the end user in the decreasing order of preference for final consumption. We analyze this model and observe that such a ranking model results in suboptimal performance when the payoff associated with the recommended items is different. We propose a novel and very efficient algorithm for the preference ranking considering the uncertainty regarding the payoffs of the items. Once the preference scores for the users are obtained using any preference learning algorithm, we show that ranking the items using a risk seeking utility function results in the best ranking performance.
ROBOTICS IN LANGUAGE LEARNING: AN EXPLORATORY STUDY USING THE BEE-BOT

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8675-8682ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2166Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
VIRTUAL LABS -ENHANCING DIGITAL SKILLS IN ENGINEERING EDUCATION

1 Technical University of Sofia, Faculty of Automatics (BULGARIA)2 Sofia University "St. Kliment Ohridski" (BULGARIA)
RESEARCH OF PSYCHOLOGICAL AND SOCIAL FACTORS FOCUSED ON UNIVERSITY STUDENTS OF INFORMATION FIELDS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8593-8602ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2141Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
RANCANG BANGUN APLIKASI RESEP MASAKAN BERBASIS ANDROID

The development of technology and information is increasingly fast now, especially for information. As a product of the development of science and technology, computers are often used both as research tools and as data processing and system development tools. &#x0D; The System Development Method used by researchers in this study is the method of developing the Prototype system with the use case concept. Use case is a description of a system behavior in response to an action / request from outside the system&#x0D; The researcher designed a mobile / android based recipe information system. the search process for recipes is no longer using recipe books or the like because they already use an application in an android smartphone
Komunikasi Interpersonal Pegiat Komunitas Perpustakaan Jalanan Solo dengan Pengunjung Car Free Day dalam Membangun Budaya Literasi di Surakarta

Literacy culture can be interpreted as an ability to read and write. In simple terms, we know it by literacy. Someone who is said to be literate is those who read and are able to understand information about what is happening in their environment and their understanding of reading. This study aims to find out how interpersonal communication activists in Solo Street Library Community develop literacy culture in Surakarta. The researcher used an interpersonal communication theory approach to literacy culture. The method used uses descriptive qualitative approach with data collection methods using in-depth interviews and observations. The results of this study indicate that interpersonal communication carried out by Solo Street Library Community Activists can be said to have succeeded in creating a literary culture. The positive response of the community with the form of empathy from visitors who merged into the cooperative activities in the form of dissecting books, and conveying writing through bulletins became a form of implementation of the literacy culture itself
Jigsaw With Visual Media for Social Skills

Social studies learning becomes an important foundation for the intellectual, emotional, cultural, and social development of students, which is able to develop ways of thinking, behaving and behaving responsibly.Social studies learning in schools, especially junior high schools is one of the educational efforts to improve social skills.The purpose of this article is to find out the social skills of students using Jigsaw with visual media in social studies learning.Social skills are skills that students have as a provision for students to make decisions in responding to life's problems in society so that they can become good citizens.This initial study uses a conceptual approach by comparing various social skills literature related to Jigsaw with visual media.This research shows that Jigsaw with visual media is more effective in developing students' social skills.
Minat Studi Lanjut ke Perguruan Tinggi Siswa Ditinjau dari Self-Efficacy dan Aspirasi Orangtua

This study aims to determine that the relationship between self-efficacy and parents aspiration with the interest in advanced studies to college of students either partially or jointly. This research uses correlation quantitative design. The sample used amounted to 160 of the population of 283 students with random sampling technique. Data collection tools use self-efficacy scales, parent`s aspiration scales, and the interest in advanced studies to college scales. We using simple linear regression and multiple linear regression to data analyzed. The result showed that there are significant correlations between (1) self-efficacy and the interest for collage, dan; (2) parents aspiration and the interest in advanced studies to college. Furthermore, relationship between self-efficacy and parents aspiration with the interests student in advance studies also had significant correlation. In this study it was also revealed that the contribution of the influence of self-efficacy and parents aspiration to the interests student in advance studies (to college) was 33.9%.
Genetic Algorithm for Web-Based Food Stand Assignment Scheduling

Scheduling is a hard problem due to much considerations in many goals. Combination of goals in this scheduling cause the problem hard to solve even when using mathematical techniques. Optimization is a method which aim to achieve the best result with the least cost as possible. Optimization for large scale problem usually done with more modern technic, such as metaheuristic. Genetic Algorithm belongs to a larger system called Evolutionary Algorithm which is often used for solving the best value in optimization problem. Hence, this food stand assignment scheduling is build using Genetic Algorithm with population size of 50, uniform crossover with crossover rate of 0.25, mutation rate of 0.0125, and roulette wheel selection. An interview was conducted with three coordinators of fund and consumtion that results in three constraints used in building this system. Testing is done for three events and achieve mean fitness that is 87.967%, 89.609%, and 85.001% for FesTIval, TechnoFest, and DISCO, respectively.
DESIGN THINKING TOOLS FOR SCIENTIFIC STORYTELLING: A DIDACTIC INNOVATION

1 Federal Institute of Education, Science and Technology of Sao Paulo (BRAZIL) Post-Doctoral Researcher at Case Western Reserve University, Cleveland/OH (UNITED STATES)2 Sao Paulo State University (BRAZIL)
THE EFFECTS OF THE BOLOGNA PROCESS IN THE MOBILITY OF SPANISH STUDENTS IN HIGHER EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 2352-2359ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0648Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
GAMES, TECHNIQUES AND METHODS OF PLAYING DURING ITALIAN LANGUAGE LESSONS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9919-9925ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2478Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
DESIGNING A LIFELONG LEARNING ENVIRONMENT

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8-13ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0006Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
LEADERSHIP STYLE PECULIARITIES IN THE EDUCATIONAL PROCESS IN THE COMPREHENSIVE SCHOOL SETTING

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9868-9875ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2458Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
E-attendance system using face recognition

Traditionally, the attendance of the students has been a major concern for the colleges and the faculties have to spend quite some time of their lectures for taking the attendance manually. In this paper, we are introducing a new way of attendance monitoring by making use of smartphones available with the teachers. We have suggested the use of YOLO algorithm for face detection and Siamese network for face recognition. This system will automatically mark the attendance of the students and thereby save the time and efforts for the faculties. The designed system will be quite efficient and reliable as Siamese network has proven to render high accuracies in face recognition.
High Payload SVD Based Audio Watermarking Scheme Inherently Robust to mp3 Compression

Background &amp; Objective: SVD based audio watermarking schemes met the requirements of imperceptibility, having moderate payload and are robust to most common signal processing attacks. But, when the watermarked audios are compressed at higher compression i.e. compression at lower bit rate, the percentage retrieval of the watermark is reduced. Since the audios posted on the networked environment i.e. world wide web (www) are mostly Mp3 audios compressed at different compression rate, there is a need to develop a watermarking scheme which is inherently robust to compression attack at different bit rates. Methods: Scheme presented in this paper uses a two phase approach for embedding the watermark. The proposed scheme is having a high payload and is inherently robust to compression attack. In the proposed scheme, watermarked audios are made inherently robust to mp3 compression at different bit rates and common signal processing attacks through selection of embedding frames that resist the attacks fully. Results &amp; Conclusion: A preliminary analysis of mp3 attack on the individual frames is done prior to finally embedding the watermark for ensuring robustness to mp3 compression and other attacks.
IMPROVING SALESPEOPLE CONFIDENCE USING INTERACTIVE SIMULATION-LED TRAINING

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 2572-2576ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0697Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
An Analysis of Public Secondary School English Teacher Employment Exams: Focusing on Items in Phonology and Phonetics from 2014 to 2018

The present study aimed at analyzing item format, test content, and test trend in phonology and phonetics in the Korean public secondary school English teacher employment exams from 2014 to 2018 in comparison with those from 2009 to 2013. Findings of the study revealed that filling-out and restricted-response essay items have been evenly distributed on the test even though there was no extendedresponse essay item over the last 5 years. The items in phonology and phonetics were the second most frequent on the test (37.8%), followed by syntax and school grammar (57.3%), and its ratio tended to steadily increase since 2014. The frequency of test contents indicated that ‘consonants and vowels,’ ‘syllables,’ and ‘phonemes and allophones’ comprised high frequency while ‘phonological process,’ and ‘phonological rules’ has significantly decreased on the test. The new test trends linked to morphology and teaching methodology were qualitatively analyzed. Finally, problems of the current test and future direction were discussed.
THE READING COMPREHENSION SKILLS OF HUNGARIAN STUDENTS IN HUNGARY AND SLOVAKIA: A SUMMARY REPORT

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4963-4969ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1235Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
TEAMWORK BASED LEARNING: USING AN AUTOMATIC TUTOR IN PROGRAMMING COURSES

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 72-78ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0041Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
TEACHER'S ABILITY TO DEVELOP LEARNER PERSONALITY AND THEIR COMPETENCES - PILOT OF INSTRUMENTS FOR ITS EVALUATION

TEACHER'S ABILITY TO DEVELOP LEARNER PERSONALITY AND THEIR COMPETENCES - PILOT OF INSTRUMENTS FOR ITS EVALUATION
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but also across different languages. Current unsupervised adversarial approaches show that it is possible to build a mapping matrix that align two sets of monolingual word embeddings together without high quality parallel data such as a dictionary or a sentence-aligned corpus. However, without post refinement, the performance of these methods' preliminary mapping is not good, leading to poor performance for typologically distant languages. In this paper, we propose a weakly-supervised adversarial training method to overcome this limitation, based on the intuition that mapping across languages is better done at the concept level than at the word level. We propose a concept-based adversarial training method which for most languages improves the performance of previous unsupervised adversarial methods, especially for typologically distant language pairs.
THE USE OF INTERACTIVE MULTIMEDIA DIDACTIC MEANS IN THE EDUCATION OF STUDENTS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9525-9531ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2360Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
The Geometry of Bayesian Programming

We give a geometry of interaction model for a typed lambda-calculus endowed with operators for sampling from a continuous uniform distribution and soft conditioning, namely a paradigmatic calculus for higher-order Bayesian programming. The model is based on the category of measurable spaces and partial measurable functions, and is proved adequate with respect to both a distribution-based and a sampling based operational semantics.
One DSL to Rule Them All: IDE-Assisted Code Generation for Agile Data Analysis

Data analysis is at the core of scientific studies, a prominent task that researchers and practitioners typically undertake by programming their own set of automated scripts. While there is no shortage of tools and languages available for designing data analysis pipelines, users spend substantial effort in learning the specifics of such languages/tools and often design solutions too project specific to be reused in future studies. Furthermore, users need to put further effort into making their code scalable, as parallel implementations are typically more complex. We address these problems by proposing an advanced code recommendation tool which facilitates developing data science scripts. Users formulate their intentions in a human-readable Domain Specific Language (DSL) for dataframe manipulation and analysis. The DSL statements can be converted into executable Python code during editing. To avoid the need to learn the DSL and increase user-friendliness, our tool supports code completion in mainstream IDEs and editors. Moreover, DSL statements can generate executable code for different data analysis frameworks (currently we support Pandas and PySpark). Overall, our approach attempts to accelerate programming of common data analysis tasks and to facilitate the conversion of the implementations between frameworks. In a preliminary assessment based on a popular data processing tutorial, our tool was able to fully cover 9 out of 14 processing steps for Pandas and 10 out of 16 for PySpark, while partially covering 4 processing steps for each of the frameworks.
STRATEGIES FOR THE DEVELOPMENT OF INCLUSIVE EDUCATION IN RUSSIA AND ABROAD

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 5936-5941ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1450Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain