Software Services in Romania – Academia and Industry
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SPERS Workshop on Actions for Better Participation of New Member States to FP7-ICT, March 2010, Timisoara, Romania
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The University of Aegean consists of five schools located across six Aegean islands in Greece, as well as eighteen departments that offer undergraduate and postgraduate programs. The Department of Information Communication Systems Engineering in particular offers both undergraduate and postgraduate degrees related to information and communication technologies. It also runs the Information Systems Laboratory, which conducts research and consulting through projects funded by the European Union and Greek government on topics like e-governance, e-business, and interoperability.
10 unite-goncalves
Mr. Ricardo Goncalves from Uninova gave a brief description and all basic information on the UNITE project.
(FInES Cluster Meeting, December 2012)
Cv europass-20190831-nghiem-en
Le Hoa Nghiem is a software developer and engineer based in Italy with experience in research, analytics, machine learning, and embedded systems. She has a Master's degree in Telecommunications Engineering and worked on projects involving video processing algorithms, building chatbots, website analytics using clustering and classification algorithms, and FPGA design. Her skills include Python, C/C++, Java, machine learning libraries, Linux, and she has proficiency in English.
The Legacy and the Future of Research Networks in Technology-Enhanced Learning
Ralf Klamma
Orphée Rendevous 2017, Font Romeu, France
Advanced Community Information Systems (ACIS) RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
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Account of the FISTERA project on Foresight for Information Society Technologies in Europe, featuring the scenarion and delphi work in particular.
Mastercourse Hortibusiness
Presentation on ICT trends in developments and what this means for the agri-food business, focussing on the FIspace platform. The presentation was part of the mastercourse Hortibusiness in which about 20 entrepreneurs from the horticultural business are participating.
An eGovernment survey among Austrian municipalitites
The document summarizes the results of an eGovernment survey conducted among Austrian municipalities in 2008. Key findings include:
- Municipalities saw a 13% decline in employees from 2002 to 2008 but no increase in IT staff.
- 87% of municipalities did not plan new IT projects or e-services at the time due to exhaustion or limited resources.
- Smaller municipalities had a higher ratio of IT employees to overall staff due to limited economies of scale.
- The survey revealed a design flaw that overestimated broadband internet speeds in many areas.
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Wholi is a company that aggregates data from public online sources to build knowledge graphs about people and companies. They use machine learning and natural language processing techniques like named entity recognition and topic modeling to extract useful features from text data. They also employ bootstrapped entity and relationship learning to infer additional information. Wholi matches profiles using a deep learning classifier trained on a large dataset of over 500,000 social media profiles to determine which profiles belong to the same individuals. Their goal is to provide a more complete online identity for matching purposes.
Deep neural networks for matching online social networking profiles
The document presents a study on using deep neural networks to match online social networking profiles that belong to the same individual. It describes extracting features from profiles, including domain-specific and text-based features. A deep neural network model with multiple fully-connected layers is proposed and shown to achieve high precision and recall on a large dataset, outperforming other supervised and unsupervised baseline methods. The study demonstrates applying deep learning techniques to the task of linking profiles from different social networks that refer to the same person.
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A presention of 3 papers on question answering using deep neural networks (CNNs, DT-RNN and LSTM) to improve vector space representation.
What is word2vec?
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The document discusses the usefulness of semantic links for detecting implicit references in chat conversations from computer-supported collaborative learning activities. It finds that on a macro level, the distribution of explicit links between utterances is similar to the distribution of semantic similarity scores, showing semantic similarity can be useful. However, at a micro level analyzing individual links, only around 40% of explicit links could be explained by semantic similarity alone, suggesting semantic similarity misses important links and additional techniques are needed.
A focused crawler for romanian words discovery
The document describes a focused web crawler called RWScraper that was developed to identify new Romanian words from web pages. RWScraper analyzes Romanian texts, distinguishes common nouns from proper names, and extracts new words along with context and metadata to a database. It implements text processing techniques like normalization, language identification, and word tokenization. The system was tested on over 264,000 documents and identified over 53,000 new words, many of which were misspellings, technical terms, or regionalisms. The authors conclude RWScraper provides a way to discover language evolution but could be improved with more accurate NLP and analysis of identified words.
Detecting and Describing Historical Periods in a Large Corpora
Many historic periods (or events) are remembered
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Practical machine learning - Part 1
Practical Machine Learning - Part 1 contains:
- Basic notations of ML (what tasks are there, what is a model, how to measure performance)
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Automatic plagiarism detection system for specialized corpora
This document describes an automatic plagiarism detection system for specialized corpora developed at the University Politehnica of Bucharest. The system architecture is presented, including the front-end web interface and back-end detection modules. The detection process involves candidate selection algorithms using techniques like fingerprinting and indexing, followed by detailed analysis and post-processing. The system was evaluated on specialized computer science corpora, achieving a plagdet score of 0.22 on one dataset and detecting plagiarism in computer science theses. Areas for further improvement are discussed.
Relevance based ranking of video comments on YouTube
This document presents a method for ranking the relevance of comments on YouTube videos. It involves a two-stage process: first classifying comments as relevant or noisy, then scoring the relevant comments based on topics extracted from the comments and related online resources about the video. The authors describe their classification of comments using linguistic features and a neural network. They also explain three approaches to relevance scoring using topics extracted from comments, Wikipedia articles, and lyrics. The results indicate the method produces a different comment ranking than YouTube, but more evaluation is needed to properly assess the impact of the relevance measure.
Opinion mining for social media and news items in Romanian
This document discusses opinion mining techniques for Romanian texts from social media and news. It presents previous work done on opinion mining for English texts, and the limited work done for Romanian. The authors developed several approaches for Romanian, including bag-of-words models, identifying affective words and dependencies, and n-gram probabilities. They evaluated the approaches on an opinionated corpus of Romanian texts from various domains, finding that bag-of-words and frequent n-grams performed best. Dependency parsing was less accurate due to the informal nature of social media texts. Overall the work presented initial methods for Romanian opinion mining with room for improvement.
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
Here are 3 examples of shallow links from the conversation:
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- Utterances 37, 38 and 39 form a shallow link, with 38 and 39 asking for more details about the reason mentioned in 37.
- Utterances 67 and 68 form a shallow link, with 68 providing an additional thought that continues the discussion started in 67 about chat's advantages.
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2) It describes the PolyCAFe architecture which uses advanced NLP techniques like tagged LSA to analyze conversations and assess participants, and the Social Network Assistant which provides recommendation and social search algorithms.
3) Validation results showed that PolyCAFe improved student and tutor assessment averages and the Social Network Assistant increased perceived usefulness of recommendations and trust in social searches over standard searches, while saving around 30% of the time for manual assessment.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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Software Services in Romania – Academia and Industry
- 1. Software Services in Romania – Academia and Industry Traian Rebedea [email_address] “ Politehnica” University of Bucharest Department of Computer Science and Engineering
- 4. Top Successful Projects Call 1 Call 2 Call 3 Call 4 Call 5 Total Politehnica University of Bucharest 3 1 4 4 12 Technical University of Cluj-Napoca 3 3 1 2 9 West University of Timisoara 1 1 2 University A.I.Cuza of Iasi 1 1 2 Politehnica University of Timisoara 1 1 University of Craiova 1 1 Babes-Bolyai University 1 1 University of Bucharest 1 1 University of Pitesti 1 1
- 5. Top Successful Projects Research Institutes Call 1 Call 2 Call 3 Call 4 Call 5 Total National Research and Development Institute for Microtechnologies 1 2 3 National Institute for R&D in Informatics (ICI) 1 1 2 Research Institute for Automation Equipment and Systems (IPA SA) 1 1 2 Institute e-Austria Timisoara 1 1 2 Research Institute for Artificial Intelligence, Romanian Academy 1 1 National Institute for Lasers, Plasma and Radiation 1 1
- 14. CS Department @ PUB
- 16. Experience & Vision 1973 2010 1965
- 17. 1975 1972 2009
- 26. IPvNext
Editor's Notes
- CENIC = Corporation for Education Network Initiatives in California