Over the years, promising returns have enticed the masses to invest in the stock markets. However, most people do not have the financial knowledge needed for making investment decisions. Even seasoned investors find it difficult to grasp all the ...

Housing.com have launched Pay Rent feature which allows tenants to pay rents to their landlords using credit cards. Over time, with increase in number of transactions there is an increase in number of payment frauds occurring on the platform. Therefore,...

Modern deep neural networks achieve excellent predictive performance due to their massive scale, flexible architecture design and availability of large training datasets. However, several applications additionally demand reliable estimates of model and ...

Carbon Dioxide (CO2) is a greenhouse gas (GHG) emitted by human anthropogenic activities. The satellite measurement of atmospheric column-averaged CO2 concentration (XCO2) provides an excellent opportunity to understand the global carbon cycle for a ...

A virtual or digital tour is a form of virtual reality technology which allows a user to experience a specific location remotely. Currently, these virtual tours are created by following a 2-step strategy. First, a photographer clicks a 360° ...

Traditional models for short text clustering ignore the time information associated with the text documents. However, existing works have shown that temporal characteristics of streaming documents are significant features for clustering. In this paper ...

An age word problem (ageWP) typically involves sentences that express relationships between the age of the agents and asks for the age of one of them. Automatically solving ageWPs is a challenging task as we need to tackle temporal relationships ...

In this work, we propose a generative adversarial network, FloorGAN, to synthesize floor plans guided by user constraints. Our approach considers user inputs in the form of room types, and spatial relationships and generates layout designs that satisfy ...

In Over the last few years, Machine Learning (ML), and particularly Deep Learning (DL), has made great strides and has been successfully deployed in many real-world applications such as healthcare, customer care, finance, autonomous driving etc. One of ...

Dietary interventions are necessary to lead a healthy life. Most of these interventions are done by adjusting daily macronutrient intake. Assessing daily macronutrient intake for users based on their health profile is a tedious task. In this paper, a ...

One of the most important research areas in Machine Learning is to build prescriptive models. This requires understanding and measurement of the causal impact of any proposed treatment, followed by designing optimal strategy based on such causal ...

Dealing with money has always been one of the basic skills one needs to live a comfortable life. However, financial literacy rates across the nations are extremely low. Furthermore, over the years the returns from traditional investment avenues like ...

Electric vehicles (EV) are well suited for last-mile delivery fleets due to better operational costs and lower emissions. However, capital costs of EVs/captive chargers; lack of public charging; and time to charge could be potential roadblocks. To ...

Metaverse has received a huge attention in recent times with several Big Techs having invested in this concept. Accenture defines the metaverse as “an evolution of the Internet that enables a user to move beyond ‘browsing’ to ‘inhabiting’ in a ...

One of the most important areas of Computer Science is network security. Due to the high volume of data being transferred, the network is now open to different security-related attacks. As a result, it is now of utmost importance to detect network ...

Tables are the most convenient way to represent structured information in a document. Understanding the table structure is critical to understanding its contents. Several deep learning-based approaches from the literature have shown promising results in ...

Opinion summarization is the task of summarizing opinions expressed for an entity or a product. Traditionally, all approaches use customer reviews or ratings to extract opinions and generate summaries. In this work, we propose using four sources of ...

A significant challenge in reinforcement learning is quantifying the complex relationship between actions and long-term rewards. The effects may manifest themselves over a long sequence of state-action pairs, making them hard to pinpoint. In this paper,...

Deep learning methods provide excellent performance when sufficiently large annotated data is available. But their performance degrades when the models are applied to different target domains with very different data distributions as compared to that ...

In the retail industry, electronic commerce (e-commerce) has grown quickly in the last decade and has further accelerated as a result of movement restrictions during the pandemic. While working with logistics and retail industry business collaborators, ...