This article detects fine-grained emotion types from health-related posts and shows how high-level and abstract features derived from deep neural networks combined with lexicon-based features can be employed to detect emotions.

Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.

This article proves that a variant of the Courtois-Finiasz-Sendrier signature is strongly existentially unforgeable under chosen message attack in the random oracle model, assuming hardness of the Permuted Goppa Syndrome Decoding Problem (also known as the Niederreiter problem).

Article introduces the first taxonomy and annotated educational corpus of questions that aims to help with the analysis of student responses.

Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.

Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.

Article introduces a large corpus of metaphor novelty scores for syntactically related word pairs, and releases it freely to the research community. This article describes the corpus, includes an analysis of its score distribution and the types of word pairs included in the corpus, and provides a brief overview of standard metaphor detection corpora.

This paper analyzes the performance of a domain-general sarcasm detection system on datasets from two different domains: Twitter and Amazon product reviews.

Paper presents a model that simulates the 2013–2014 French Polynesia Zika outbreak, incorporating the temperature dependent mosquito ecology and the local transit network (flights and ferries), highlighting the importance of human travel patterns and mosquito population dynamics in a disease outbreak.

Article proposes a strategy called Dynamic Bank Partitioning (DBP), which allocates memory banks to different applications based on their memory access characteristic, and also proposes an adaptive method to dynamically select an optimal page policy for each bank according to the characteristics of memory accesses that each bank receives to further reduce power consumption.

This article studies route recommendation to a group of taxis by minimizing the overall mileage spent without customers.

Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, Shraddha Piparia presents her research methods, findings, and its significance in non-technical language.

Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, ABM Rezbaul Islam presents his research methods, findings, and its significance in non-technical language.