Institution
International Hellenic University
Education•Thessaloniki, Greece•
About: International Hellenic University is a education organization based out in Thessaloniki, Greece. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 793 authors who have published 1284 publications receiving 12184 citations.
Topics: Computer science, Chemistry, Medicine, Biology, Population
Papers published on a yearly basis
Papers
15 Dec 2020
TL;DR: This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots, and compose a general architectural design that gathers critical details, and highlights crucial issues to take into account before system design.
Abstract: This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots. It aims to organize critical information that is a necessary background for further research activity in the field of chatbots. More specifically, while giving the historical evolution, from the generative idea to the present day, we point out possible weaknesses of each stage. After we present a complete categorization system, we analyze the two essential implementation technologies, namely, the pattern matching approach and machine learning. Moreover, we compose a general architectural design that gathers critical details, and we highlight crucial issues to take into account before system design. Furthermore, we present chatbots applications and industrial use cases while we point out the risks of using chatbots and suggest ways to mitigate them. Finally, we conclude by stating our view regarding the direction of technology so that chatbots will become really smart.
774 citations
5 Jun 2020
TL;DR: A historical overview of the evolution of the international community’s interest in chatbots is presented, and the motivations that drive the use of chatbots are discussed, and chatbots’ usefulness in a variety of areas is clarified.
Abstract: The use of chatbots evolved rapidly in numerous fields in recent years, including Marketing, Supporting Systems, Education, Health Care, Cultural Heritage, and Entertainment. In this paper, we first present a historical overview of the evolution of the international community’s interest in chatbots. Next, we discuss the motivations that drive the use of chatbots, and we clarify chatbots’ usefulness in a variety of areas. Moreover, we highlight the impact of social stereotypes on chatbots design. After clarifying necessary technological concepts, we move on to a chatbot classification based on various criteria, such as the area of knowledge they refer to, the need they serve and others. Furthermore, we present the general architecture of modern chatbots while also mentioning the main platforms for their creation. Our engagement with the subject so far, reassures us of the prospects of chatbots and encourages us to study them in greater extent and depth.
733 citations
TL;DR: This paper examined how an individual's moral norms and demographic characteristics interact with the standard "Theory of Planned Behavior" predictors (Attitude, Subjective Norms, and Perceived Behavioral Control) in explaining the intention to recycle (RI).
Abstract: This paper examines how an individual's moral norms and demographic characteristics interact with the standard ‘Theory of Planned Behavior’ predictors (Attitude; Subjective Norms; and Perceived Behavioral Control (PBC)) in explaining the intention to recycle (RI). Our data originate from an empirical research of Greek citizens conducted in Autumn 2013 (N = 293). Through structural equation modeling, we find that PBC is consistently the most important predictor of RI. Moral norms have a larger effect on RI than Attitude while their influence is primarily direct. On the contrary, demographic characteristics were found to be statistically non-significant predictors of RI, similarly to Subjective Norms.
528 citations
25 Jul 2017
TL;DR: The paper presents the database description, the experimental set up, the baseline method used for the Challenge, the summary of the performance of the different methods submitted to the Affect-in-the-Wild Challenge for Valence and Arousal estimation and the challenge demonstrates that meticulously designed deep neural networks can achieve very good performance when trained with in- the-wild data.
Abstract: The Affect-in-the-Wild (Aff-Wild) Challenge proposes a new comprehensive benchmark for assessing the performance of facial affect/behaviour analysis/understanding 'in-the-wild'. The Aff-wild benchmark contains about 300 videos (over 2,000 minutes of data) annotated with regards to valence and arousal, all captured 'in-the-wild' (the main source being Youtube videos). The paper presents the database description, the experimental set up, the baseline method used for the Challenge and finally the summary of the performance of the different methods submitted to the Affect-in-the-Wild Challenge for Valence and Arousal estimation. The challenge demonstrates that meticulously designed deep neural networks can achieve very good performance when trained with in-the-wild data.
456 citations
Nowell H. Phelps, Rosie K. Singleton, Bin Zhou, Rachel A. Heap +1749 more•Institutions (408)
TL;DR: A pooled analysis of 3663 population-representative studies reveals worldwide trends in underweight and obesity from 1990 to 2022, covering 222 million children, adolescents, and adults, with significant variations in prevalence across regions and age groups.
Abstract: Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 populationrepresentative studies with 222 million children, adolescents, and adults NCD Risk Factor Collaboration (NCD-RisC)
444 citations
Authors
Showing all 831 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Didier Raoult | 173 | 3267 | 153016 |
| George Z. Kyzas | 54 | 214 | 8355 |
| Ioannis Vlahavas | 47 | 270 | 10831 |
| Matthieu Million | 42 | 163 | 8131 |
| Andreas Stein | 41 | 108 | 5532 |
| Nicolas Moussiopoulos | 41 | 225 | 5969 |
| Konstantinos Demertzis | 33 | 65 | 1751 |
| Periklis Chatzimisios | 32 | 168 | 4414 |
| Petros Samaras | 32 | 128 | 3552 |
| Nick Bassiliades | 31 | 224 | 3620 |
| Eleni Heracleous | 31 | 70 | 2920 |
| George A. Papakostas | 25 | 137 | 1943 |
| Vassilis G. Kaburlasos | 25 | 143 | 2292 |
| Evangelos Christou | 25 | 57 | 1728 |
| Stergios Leventis | 25 | 43 | 2029 |
Related Institutes (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 15 |
| 2025 | 149 |
| 2024 | 146 |
| 2023 | 188 |
| 2022 | 61 |
| 2021 | 478 |