Shivam Agarwal

Shivam Agarwal
Otto-Friedrich-Universität Bamberg

Masters in Information Technology

About

23
Publications
4,209
Reads
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93
Citations
Introduction
Shivam Agarwal currently works in the Visualization lab in University of Bamberg, Germany. His research interests primarily include visualization and artificial intelligence. He is motivated to build and discover research solutions that have applications in diverse areas.

Publications

Publications (23)
Article
Full-text available
Handling emergencies requires efficient and effective collaboration of medical professionals. To analyze their performance, in an application study, we have developed VisCoMET, a visual analytics approach displaying interactions of healthcare personnel in a triage training of a mass casualty incident. The application scenario stems from social inte...
Article
Full-text available
Event sequence visualization aids analysts in many domains to better understand and infer new insights from event data. Analysing behaviour before or after a certain event of interest is a common task in many scenarios. In this paper, we introduce, formally define, and position double trees as a domain‐agnostic tree visualization approach for this...
Preprint
Full-text available
A cohesive text allows readers to follow the described ideas and events. Exploring cohesion in text might aid students enhancing their academic writing. We introduce CohExplore, which promotes exploring and reflecting on cohesion of a given text by visualizing computed cohesion-related metrics on an overview and detailed level. Detected topics are...
Poster
Full-text available
Analyzing the training evolution of AI agents in a multi-agent environment helps to understand changes in learned behaviors, as well as the sequence in which they are learned. We train an existing Pommerman team from scratch and, at regular intervals, let it battle against another top-performing team. We define thirteen game-specific behaviors and...
Preprint
Full-text available
In multi-label classification, we do not only want to analyze individual data items but also the relationships between the assigned labels. Employing different sources and algorithms, the label assignments differ. We need to understand these differences to identify shared and conflicting assignments. We propose a visualization technique that addres...
Preprint
Full-text available
Knowledge graphs store information about historical figures and their relationships indirectly through shared events. We developed a visualization system, VisKonnect, for analyzing the intertwined lives of historical figures based on the events they participated in. A user's query is parsed for identifying named entities, and related data is retrie...
Chapter
Full-text available
The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and the re-scheduling of vehicles when disruptions occur, for example the breakdown of a vehicle. While solving the VRSP in various settings has been an active area in operatio...
Preprint
Full-text available
The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and the re-scheduling of vehicles when disruptions occur, for example the breakdown of a vehicle. While solving the VRSP in various settings has been an active area in operatio...
Conference Paper
Full-text available
Challenges in set visualization include representing overlaps among sets, changes in their membership, and details of constituent elements. We present a visualization technique that addresses these challenges. The approach uses set intersection graphs that explicitly visualize each set intersection as a rectangular node and elements as circles insi...
Conference Paper
Full-text available
Virtual and mixed reality environments gain complexity due to the inclusion of multiple users and physical objects. A core challenge for developers and researchers while analyzing sessions from such environments lies in understanding the interaction between entities. Additionally, the raw data recorded from such sessions is difficult to analyze due...
Preprint
Full-text available
We conducted a questionnaire study aimed towards PhD students in the field of visualization research to understand how they cope with paper rejections. We collected responses from 24 participants and performed a qualitative analysis of the data in relation to the provided support by collaborators, resubmission strategies, handling multiple rejects,...
Article
Full-text available
We conducted a questionnaire study aimed towards PhD students in the field of visualization research to understand how they cope with paper rejections. We collected responses from 24 participants and performed a qualitative analysis of the data in relation to the provided support by collaborators, resubmission strategies, handling multiple rejects,...
Conference Paper
Full-text available
Human playtesting is a useful step in the game development process, but involves high economic costs and is time-consuming. While playtesting through artificial intelligence is gaining attention, it is challenging to analyze the collected data. We address the challenge by proposing visualizations to derive insights about level design in 2D side-scr...
Article
Full-text available
In many applications, membership of set elements changes over time. Since each element can be present in multiple sets, the sets also overlap. As a result, it becomes challenging to visualize the temporal change in set membership of elements across several timesteps while showing individual set intersections. We propose Set Streams, a visualization...
Article
Full-text available
Competition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In this paper, we study such competition and collaboration behavior for a computer game. Serving as a testbed for artificial intell...
Conference Paper
Full-text available
A curated literature collection on a specific topic helps researchers to find relevant articles quickly. Assigning multiple keywords to each article is one of the techniques to structure such a collection. But it is challenging to assign all the keywords consistently without any gaps or ambiguities. We propose to support the user with a machine lea...
Conference Paper
Full-text available
Analyzing multiplex small world networks (SWNs) using community detection (CD) is a challenging task. We propose the use of visual analytics to probe and extract communities in such networks, where one of the layers defines the network topology and exhibits small-world property. Our novel visual analytics framework, NodeTrix-Multiplex (NTM), for vi...
Poster
Full-text available
Figure 1: (Left) Our proposed workflow, has been adapted from sense-making loop for visual analytics [5], for exploration of the raw data from surveys. Using both survey data and metadata as the input data (magenta), we propose adding data mining (cyan) to the visual analytic workflow, where we visualize the data mining observations as intermediate...

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