frontiers in artificial intelligence ranking

While the sources of our evaluation datasets provided a wide variety of substitution options, it does not entirely cover all possible substitutions that people may use. Achananuparp, P., and Weber, I. Found inside – Page 213Heilman, M., Smith, N.A.: Question Generation via Overgenerating Transformations and Ranking. Carnegie-Mellon Univ Pittsburgh Pa Language Technologies Inst, ... Frontiers in Artificial Intelligence and Applications, vol. 284, pp. 75–86. Found inside – Page 69TABLE 8 | Median and average for LAs' rankings. ... knowledge higher than the two LAs that required a combination of old Frontiers in Artificial Intelligence | www.frontiersin.org March 2020 | Volume 3 | Article 11 1469 Alhathli et al. We also may expand our evaluation datasets and devise a more comprehensive evaluation, such as considering more complex substitutions (i.e., one-to-many or many-to-one substitutions) and generating substitutions for specific contexts. Some students think that a college paper is a piece of cake until they actually encounter a Artificial Intelligence Research And Development (Frontiers In Artificial . International conference on case-based reasoning (ICCBR) computer cooking contest workshop. Examples of ground-truth substitutions compared to substitute options ranked by our approach. For ingredients i and j in the set of all ingredients I, let Tj,i represent the number of recipes in which j is used either with ingredient i or an ingredient that is a subclass of i. Computing this for all ingredients, as ∑i∈ITj,i, can give us a vector representing the probability of each ingredients co-occurring in a recipe together with ingredient j. Frontiers in Artificial Intelligence and Applications has been ranked #207 over 227 related journals in the Artificial Intelligence research category. doi:10.1093/nar/gkx957, Honnibal, M., Montani, I., Van Landeghem, S., and Boyd, A. Click to share on Twitter (Opens in new window), Click to share on Facebook (Opens in new window), Click to share on LinkedIn (Opens in new window), Click to share on Reddit (Opens in new window), Click to share on Pinterest (Opens in new window), Click to share on WhatsApp (Opens in new window), Click to email this to a friend (Opens in new window), world’s most-cited Plant Sciences journal, world’s most-cited Multidisciplinary Psychology journal, world’s most-cited Psychology journal, Impact Factor & CiteScore for Frontiers journals, See Impact Factor & CiteScore for Frontiers journals, Frontiers in Bioengineering and Biotechnology, Frontiers in Cellular and Infection Microbiology. Considering ingredient preference together with dietary constraints in the substitute ranking process will allow us to produce more personalized solutions. The first score builds on the intuition that a good substitution ingredient should pair well with the recipe’s other ingredients. (2019). 2, Vienna, Austria (SciTePress), 195. On-line purchasing: Artificial intelligence is utilized in online buying to supply personalised suggestions to customers, based on their previous searches and purchases. Frontiers additionally provides a wide array of real-time impact metrics that measure the overall performance and reach of articles and authors in an objective and crowd-sourced way. 2018 2019 2020 Artificial Intelligence Computer Science Applications. To put this into perspective, 1 ounce of chicken breast contains roughly 47 calories. Smiles, Access To Medicine Versus Test Data Exclusivity: Safeguarding Flexibilities Under International Law (Munich Studies On Innovation And . Recall rate at k is calculated as the proportion of target ingredients for which any correct substitute option falls within the top k ranks. Key Factor Analysis The post, the email, the marketing message that is going to generate more buyer…, the consumer and your recruit prospects. It is also the 10th most cited open-access journal in Neurosciences. FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration. In the applied artificial intelligence masters program, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications. That's what you pay for and that's what you will get 10/10 times. . These articles show broad readership both within and outside academic circles, with hundreds of millions of views and downloads from around the world and wide coverage in the media. IEEE Trans. An awareness is raising within the healthcare sector of the huge potential in applying IT-based solutions as means for quality assurance and cost-containment. Articles published in Frontiers journals receive an average of 3.65 citations — the 4th-highest average citation rate among the world’s 20 largest academic journal publishers (Figure 3). We observe that DIISH consistently outperforms each of the other scoring metrics in all of our evaluation datasets. In the same table, “Poincaré” uses the cosine similarity between ingredients’ embeddings obtained from the Poincaré model trained over FoodOn classes to provide a comparison of our work to other recent embedding models. 3http://www.allrecipes.com/article/common-ingredient-substitutions, 4https://catalog.data.gov/dataset/food-and-nutrient-database-for-dietary-studies-fndds, 5http://www.allrecipes.com/article/common-ingredient-substitutions, 6http://www.foodnetwork.ca/kitchen-basics/photos/18-most-common-ingredient-substitutions, 7http://extension.colostate.edu/docs/pubs/foodnut/09329.pdf, 8http://www.ag.ndsu.edu/publications/food-nutrition/ingredient-substitutions/fn198.pdf. Our work can empower people to more effectively modify their eating habits by simplifying the process of identifying plausible ingredient substitutions and comparing ingredients based on their food classification and nutritional content. Our proposed system also helps determine which ingredient substitution options are “healthy” using nutritional information and food classification constraints. Since each metric has an upper bound of 1, taking the square root would generally increase the influence of the metric, while squaring it would decrease its influence. Received: 27 October 2020; Accepted: 03 December 2020;Published: 25 January 2021. Found inside – Page 347In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI'93), volume 1, ... Conference on Artificial Intelligence (ECAI 2006), volume 141 of Frontiers in Artificial Intelligence and Applications, ... When it comes to journal publications, many publications are available in the area of AI and Machine . Overall, Frontiers journals rank at the 84th CiteScore percentile on average and as high as the 95th CiteScore percentile. For restrictions on types of food, we use FoodOn classes to identify ingredients that violate the restriction. Eating habits can play an important role in improving personal health. In more ways than one, the world is growing at an exponential rate, and so is the size of data collected across the globe. The first is a Word2Vec (Mikolov et al., 2013) model trained over ingredient names and recipe instructions from Recipe1M (Marin et al., 2019). Experts leave their bids under the posted order, waiting for a client to settle on which writer, among those who left their Cinematic Hypertext (Frontiers In Artificial Intelligence And Applications, Vol bids, they want to choose. Frontiers in Artificial Intelligence, Volume 4; doi:10.3389/frai.2021.679459 . (2020), who also used the USDA’s data to calculate calorie information for a set of 2,482 recipes and reported an average per-serving error of 36.42 calories. In the event that the term of performance of the course and control work will be less than 1 day, the cost of work will be increased depending on its urgency. Frontiers in Artificial Intelligence publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of Artificial Intelligence. Together with the vast catalog of recipes in FoodKG, these functionalies will enable people to more easily identify ingredient substitutions suited to their diet. Thanks. The field of Frontiers of Artificial Intelligence and Machine Learning is entering an era of unprecedented change and innovation. We propose an approach to leverage both explicit semantic information about ingredients, encapsulated in a knowledge graph of food, and implicit semantics, captured through word embeddings, to develop a substitutability heuristic to rank plausible substitute options automatically. In total, Frontiers articles have received more than 700,000 citations to date.. Our journals also have some of the highest citation rates. Dev 63 (71–77), 18. doi:10.1147/JRD.2019.2893905, Keywords: ingredient substitution, semantic similarity, semantic substitution, knowledge graph, patient empowerment, health empowerment, Citation: Shirai SS, Seneviratne O, Gordon ME, Chen C-H and McGuinness DL (2021) Identifying Ingredient Substitutions Using a Knowledge Graph of Food. We facilitate this using our team’s FoodKG (Haussmann et al., 2019), a knowledge graph of recipe and ingredient information. Author C-HC was employed by the company IBM. Similarly, of the 34 Frontiers journals with a 2017 CiteScore (Scopus, 2018), nine rank in the top 10% most impactful journals. Intell 43 (1), 187–203. These websites also compile lists of common ingredient substitutions3. Note that results for The Cook’s Thesaurus’ data exclude the 100 target ingredients that were used as our development dataset. This book presents 34 original papers accepted for presentation at the 17th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2014), held in October 2014 in Barcelona, Spain. These technologies have the potential for great human . This added effort makes it difficult for people to make recipe modifications tailored to their nutritional needs. 5. facilitating behavior change and well-being to improve health outcomes: standards of medical care in diabetes—2020. After over 20 years of working with leaders, still to this day, the number one... but you can facilitate the best condition for them to choose or choose not to be productive. Found inside – Page 245That model is used to re-rank documents that are retrieved by the tf-idf model. The model's features include lexical words, and both tf-idf score and LDA model score of a document for a given query. The intuition is that, by including ... One might begin by comparing the similarity metrics between ingredients to judge their substitutability to find potential ingredient substitutions. If you are aspiring to study and conduct research in Artificial Intelligence (AI), the listed world-class universities offer either or both Undergraduate & Graduate degrees as well as research opportunities. Efforts have been made to bring together the disparate sources of food information (Popovski. Found inside – Page 185JSAI-isAI 2018 Workshops, JURISIN, AI-Biz, SKL, LENLS, IDAA, Yokohama, Japan, November 12–14, 2018, Revised Selected ... For example, some questions have difficulties to rank the relevant articles higher due to the vocabulary mismatch, ... Found inside – Page 53619th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Quebec City, Quebec, Canada, ... In summary, our experimental results show that PITs perform well in both classification and ranking. Found inside – Page 236... and credulous inference based on preferred ranking functions. In: Kaminka, G.A. (eds.) Proceedings 22nd European Conference on Artificial Intelligence, ECAI2016. Frontiers in Artificial Intelligence and Applications, vol. 285, pp. American Diabetes Association, (2020). How can I have an article of mine listed in Frontiers in Marine Science? As the embeddings of FoodEx2Vec cannot be directly applied to our foods, we chose to follow the same methodology using FoodOn to generate a new model to compare our results against. Using this development set, we explored choices for coefficients and powers to apply to each metric in order to form our final heuristic. For each ingredient contained in the target recipe, we retrieve its linked FoodOn class and identify whether there exists a path in the ontology hierarchy (through relationships such as “subClassOf” and “derivesFrom”) between the prohibited food class and the ingredient. Another approach is to use popular search engines. We evaluate our approach using three datasets of ingredient substitutions, curated from popular websites and user reviews. Found inside – Page 221JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Tsukuba, Tokyo, November 13-15, 2017, Revised Selected ... Ranking. Transformations. 3.1 Adding Collected Transformations to the Lexicon The semantic lexicon in MGL ... 156–172. Arguably, good substitutions have the goal of replacing an ingredient to improve some criteria while maintaining the essence of the original recipe (while intentionally creating new dishes may be a valid goal, it is not in the scope of this work). Thus, PPMI gives this metric some indications of how ingredients relate to recipes, and Pa,b then captures the similarity between how two ingredients relate to recipes. Popular recipe websites, such as AllRecipes1 and Food.com2, have comment sections where community members discuss their opinions and modifications of different recipes. As for the explicit semantic information from FoodKG, we compute two additional scores to help rank substitution options. Frontiers In Artificial Intelligence. Our journals also rank in the top Impact Factor and CiteScore percentiles in their scientific fields. We used these descriptions to convert ingredient measurements in FoodKG into grams, using the first available common units as the default weight. Hong Kong, China: (Association for Computational Linguistics), 5976–5982. The research, approach, content, Human Language Technologies The Baltic Perspective: Proceedings Of The Fifth International Conference Baltic HLT 2012 Volume 247 Frontiers In Artificial Intelligence And Applications M structure and writing style are different depending on the type of assignment. Evaluating the quality of ingredient substitutions is difficult due to the lack of any widely accepted ground-truth set of valid substitutions; one’s opinion on the validity of an ingredient substitution may be influenced by personal preference and perceived purpose of the substitution or their culinary experience. The article lists Top Universities in the World To Study Artificial Intelligence. Front. In our results, we can see some cases where our filtering strategy was unable to successfully remove undesirable options due to the class structure present in FoodOn and how FoodKG links ingredients to it. Last, we extracted substitutions from 1.1 million user reviews of Food.com recipes published by Majumder et al. ► What are Impact Factor and CiteScore? Our approach shows promise when compared against our collected ground-truth substitution datasets. For arugula, we can see that watercress and radicchio are first and third highest ranked substitutions, respectively, and the other ingredients in the top five options also appear to be reasonable suggestions for leafy vegetables. As opposed to journal metrics, article- and author-level metrics indicate the quality and global impact of individual articles, give credit to individual authors and allow article- and author-level comparisons. Frontiers journal ranking analysis: Endocrinology & Metabolism. |, Second International Workshop on Health Recommender Systems co-located with ACM RecSys, 8th International Semantic Web Conference (ISWC), International conference on case-based reasoning (ICCBR) computer cooking contest workshop, Proceedings of the 2020 IEEE 36th international conference on data engineering workshops, Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP), Association for Computational Linguistics, Proceedings of the 1st international conference on learning representations, ICLR 2013, IEEE 36th international conference on data engineering workshops, Proceedings of the 11th international joint conference on knowledge discovery, knowledge engineering and knowledge management, Proceedings of the LREC 2010 workshop on new challenges for NLP frameworks, http://www.allrecipes.com/article/common-ingredient-substitutions, https://catalog.data.gov/dataset/food-and-nutrient-database-for-dietary-studies-fndds, http://www.foodnetwork.ca/kitchen-basics/photos/18-most-common-ingredient-substitutions, http://extension.colostate.edu/docs/pubs/foodnut/09329.pdf, http://www.ag.ndsu.edu/publications/food-nutrition/ingredient-substitutions/fn198.pdf, Creative Commons Attribution License (CC BY). Found inside – Page 192For text ranking, we propose an automatic and unsupervised graph-based ranking algorithm that gives improved results when compared to other ranking algorithms. Detecting topic words is one important step in our method, ... Example of linked ingredient information in FoodKG for the ingredient “Unsalted Butter” to the matching class in FoodOn’s ontology and the USDA’s nutritional information. To compare the performance of our method against other recent works in the domain of food, we additionally develop a Poincaré embedding model (Nickel and Kiela, 2017) using FoodOn’s class hierarchy. Constraint Reasoning For Differential Models (Frontiers In Artificial Intelligence And Applications)|J Cruz, Freight Railway Crew Scheduling - Models, Methods, and Applications|Marc Albers, We'Ve Got the Beat: The New Pop of the Early Eighties (The Life, Times & Music Series)|Tim Frew, Wine Regions of the Southern Hemisphere|Harm Jan De Blij With an Impact Factor of 3.267, Frontiers in Neuroanatomy is the 2nd most cited Anatomy & Morphology journal in the world with an Impact Factor ranking as high as the 96 th percentile. Pan, Y., Xu, Q., and Li, Y. We also must consider that some senses of “similarity” may not directly connect to substitutability. Such substitutions can remove restricted types of ingredients (e.g., common allergens) or replace ingredients to adhere to some dietary constraint (e.g., replacing potatoes to reduce carbohydrate intake). We show that our new substitution ranking approach (DIISH) outperforms baseline methods, demonstrating the benefit of enriching embedding-based methods with domain-specific semantic information. doi:10.1007/978-3-319-11209-1_11. Artif. Found inside – Page 429Noro, T., Ru, F., Xiao, F., Tokuda, T.: Twitter user rank using keyword search. In: Information Modelling and Knowledge Bases XXIV. Frontiers in Artificial Intelligence and Applications, vol. 251, pp. 31–48. IOS Press (2013) 7. Congratulations. OS, CC, and DM conceptualized and supervised the project. Intell. To convert ingredient measurements into grams, we use text descriptions for common units of measurement presented by the USDA (e.g., the entry for “BUTTER, WITH SALT” has the common units “1 pat” and “1 tbsp” as well as their corresponding gram weights). Overall, Frontiers journals rank at the 72nd Impact Factor percentile on average and reach as high as the 91st percentile. Computational Models Of Argument: Volume 144 Frontiers In Artificial Intelligence And Applications|Editors, The Third World: Far East : A Bibliography/P 2499 (Public administration series-bibliography)|E. Trondheim, Norway, June 26–28, 2017.. Gaillard, E., Lieber, J., and Nauer, E. (2015). FAIML 2022 presents one of 2022's premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field. (2016). Found inside – Page 872[2] Leila Amgoud and Jonathan Ben-Naim, 'Ranking-based semantics for argumentation frameworks', in International Conference on Scalable Uncertainty Management ... Frontiers in Artificial Intelligence and Applications, IOS Press, (2010). After over 20 years of working with leaders, still to this day, the number one…. Vol. The overall rank of Frontiers in Robotics and AI is 9234. Found inside – Page 47217th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings Johannes Fürnkranz, ... Artificial Intelligence frontiers in statistics. ... Ling, C. X., Yan, R. J.: Decision tree with Better Ranking. Artificial Intelligence Research and Development, Proceedings of the 8th International Conference of the ACIA, CCIA 2005, October 26-28, 2005, Alguer, Italy F. J. Ruiz Cecilio Angulo Found inside – Page 207Yandex' algorithm for text relevance ranking at ROMIP'2006 (in Russian) [Algoritm tekstovogo ranˇzirovanija ... In Artificial intelligence: Methodology, systems, applications, frontiers in artificial intelligence and applications, ed. This study exploits field experiment data on more than 6,200 customers who are randomized to receive highly structured outbound sales calls from chatbots or human workers. Achananuparp and Weber (2016) extracted food consumption patterns from MyFitnessPal’s food diaries, computing food item similarity based on the contexts in which food items appear. We bring together leading scientists and practitioners with large-scale AI products deployment. The journal is intended for professors, practitioners and researchers who are focused on such areas of academic research . Here, the authors explain how their novel . With an Impact Factor of 3.675, Frontiers in Endocrinology is the 2nd most cited open-access journal in Endocrinology & Metabolism . In a social media dominated world…and some old principles that still hold strong. All you have to do is to fill Artificial Intelligence Research And Development (Frontiers In Artificial Intelligence And Applications, Vol in the form while . Of the 26 Frontiers journals listed in 23 JCR categories, 21 rank in the top 30% most impactful journals. (2019). Google ScholarBiography. Artificial Intelligence to help meet global demand for high-quality, objective peer-review in . ...For Recruiting and Attracting The Consumer? Individual ingredients can serve various purposes within recipes depending on the preparation steps and other ingredients in the recipe. Recipedb: a resource for exploring recipes. The ISSN of Frontiers in artificial intelligence. Join the conversation about this journal. Found inside – Page 115Frontiers in Artificial Intelligence and Applications, vol. 325, pp. ... Perny, P., Viappiani, P., Boukhatem, A.: Incremental preference elicitation for decision making under risk with the rank-dependent utility model. It also encapsulates a very wide variety of ingredients and cuisines (over 17,000 ingredients and over one million recipes). UWriteMyEssay.net's services, on the other Frontiers In Artificial Intelligence hand, is a perfect match for all my written needs. For the case of restrictions over the nutritional content of recipes, we must calculate the nutritional content of each ingredient the recipe uses. We also do not assume substitutions to be reflexive (i.e., cauliflower being a substitute for potatoes does not imply potatoes are a substitute for cauliflower). Found inside – Page 163In: Frontiers in Artificial Intelligence and Applications. ... Proceedings of the Tenth International Conference on Artificial Intelligence and Law (ICAIL 2005). ... Temporal Text Ranking and Automatic Dating of Texts. Intelligent Autonomous Systems 2 (Frontiers In Artificial Intelligence And Applications)|L, Friendly Fire: The Accidental Shootdown Of U.S. Black Hawks Over Northern Iraq|Scott A. Snook, The Playskool Guide To Baby Play: More Than 300 Games And Activities To Play And Learn With Your Baby|Robin McClure, The Tropical Rain Forest: Discover This Wet Biome (Discover The World's Biomes)|Philip Johansson

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