Open Access. Powered by Scholars. Published by Universities.®
Artificial Intelligence and Robotics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Defect Prediction (5)
- Software Metrics (5)
- Data Mining, Software Engineering (3)
- Feature Selection (3)
- Opinion Mining and Sentiment Analysis (3)
-
- Small Spacecraft (3)
- Expert System (2)
- Expert Systems (2)
- Image Processing (2)
- Open Orbiter Project (2)
- Opinion Mining (2)
- Semantic Web Services (2)
- Software metrics (2)
- ANFIS (1)
- Adaptedness (1)
- Agents (1)
- Aproximation (1)
- Artificial Intelligence (1)
- Artificial Intelligence & Robotic Control (1)
- Artificial neural network (1)
- Asba/Residuaries (1)
- Ashabu’l-fara (1)
- Attention economy (1)
- Attention spans (1)
- Attribute selection (1)
- Bi-el-nasab. (1)
- Breast cancer (1)
- Cancer prognosis (1)
- Classification (1)
- Classification. Blog Mining (1)
- Publication Year
- Publication
- File Type
Articles 1 - 30 of 32
Full-Text Articles in Artificial Intelligence and Robotics
A Tool For Staging Mixed-Initiative Dialogs, Joshua W. Buck, Saverio Perugini
A Tool For Staging Mixed-Initiative Dialogs, Joshua W. Buck, Saverio Perugini
Saverio Perugini
We discuss and demonstrate a tool for prototyping dialog-based systems that, given a high-level specification of a human-computer dialog, stages the dialog for interactive use. The tool enables a dialog designer to evaluate a variety of dialogs without having to program each individual dialog, and serves as a proof-of-concept for our approach to mixed-initiative dialog modeling and implementation from a programming language-based perspective.
Metalogic Notes, Saverio Perugini
Metalogic Notes, Saverio Perugini
Saverio Perugini
A collection of notes, formulas, theorems, postulates and terminology in symbolic logic, syntactic notions, semantic notions, linkages between syntax and semantics, soundness and completeness, quantified logic, first-order theories, Goedel's First Incompleteness Theorem and more.
Statistics Notes, Saverio Perugini
Statistics Notes, Saverio Perugini
Saverio Perugini
A collection of terms, definitions, formulas and explanations about statistics.
Lexicon-Based Sentiment Analysis In The Social Web, Fazal Masud Kundi, Dr. Muhammad Zubair Asghar
Lexicon-Based Sentiment Analysis In The Social Web, Fazal Masud Kundi, Dr. Muhammad Zubair Asghar
Dr. Muhammad Zubair Asghar
Sentiment analysis is a compelling issue for both information producers and consumers. We are living in the “age of customer”, where customer knowledge and perception is a key for running successful business. The goal of sentiment analysis is to recognize and express emotions digitally. This paper presents the lexicon-based framework for sentiment classification, which classifies tweets as a positive, negative, or neutral. The proposed framework also detects and scores the slangs used in the tweets. The comparative results show that the proposed system outperforms the existing systems. It achieves 92% accuracy in binary classification and 87% in multi-class classification.
Lexicon Based Approach For Sentiment Classification Of User Reviews, Dr. Muhammad Zubair Asghar
Lexicon Based Approach For Sentiment Classification Of User Reviews, Dr. Muhammad Zubair Asghar
Dr. Muhammad Zubair Asghar
With the advent of web, online user reviews are getting more and more attention of the researchers because valuable information about products and services are available on social media like twitter1. These reviews are very helpful for organizations as well as for new customers showing interest in these products or services. But this data is generated in tremendous amount which is out of control of manual mining methods. These reviews need a model that has the ability to gauge these shared reviews according to predefined categories. This work introduces a rule based approach to find the opinion classification of reviews. …
From Question Context To Answer Credibility: Modeling Semantic Structures For Question Answering Using Statistical Methods, Protima Banerjee, Hyoil Han
From Question Context To Answer Credibility: Modeling Semantic Structures For Question Answering Using Statistical Methods, Protima Banerjee, Hyoil Han
Hyoil Han
Within a Question Answering (QA) framework, Question Context plays a vital role. We define Question Context to be background knowledge that can be used to represent the user’s information need more completely than the terms in the query alone. This paper proposes a novel approach that uses statistical language modeling techniques to develop a semantic Question Context which we then incorporate into the Information Retrieval (IR) stage of QA. Our approach proposes an Aspect-Based Relevance Language Model as basis of the Question Context Model. This model proposes that the sparse vocabulary of a query can be supplemented with semantic information …
Language Modeling Approaches To Information Retrieval, Protima Banerjee, Hyoil Han
Language Modeling Approaches To Information Retrieval, Protima Banerjee, Hyoil Han
Hyoil Han
This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal is to model that process via a generative statistical model. In this article, we discuss current research in the application of language modeling to information retrieval, the role of semantics in the language modeling framework, cluster-based language models, use of language modeling for XML retrieval and …
Detection And Scoring Of Internet Slangs For Sentiment Analysis Using Sentiwordnet, Dr. Muhammad Zubair Asghar
Detection And Scoring Of Internet Slangs For Sentiment Analysis Using Sentiwordnet, Dr. Muhammad Zubair Asghar
Dr. Muhammad Zubair Asghar
The online information explosion has created great challenges and opportunities for both information producers and consumers. Understanding customer’s feelings, perceptions and satisfaction is a key performance indicator for running successful business. Sentiment analysis is the digital recognition of public opinions, feelings, emotions and attitudes. People express their views about products, events or services using social networking services. These reviewers excessively use Slangs and acronyms to express their views. Therefore, Slang's analysis is essential for sentiment recognition. This paper presents a framework for detection and scoring of Internet Slangs (DSIS) using SentiWordNet in conjunction with other lexical resources. The comparative results …
Medical Rate Setting: Multi-Curve Approximation And Projection, Darrin Winger, Christian Sandtveit, Jeremy Straub, Eunjin Kim
Medical Rate Setting: Multi-Curve Approximation And Projection, Darrin Winger, Christian Sandtveit, Jeremy Straub, Eunjin Kim
Jeremy Straub
In order to maximize profit, our approach was to maximize the difference between total revenue and total cost, where total revenue would be larger than total cost. In the problem we are given a series of points, which relates price, cost, profit and quantity. We can calculate the total revenue by multi-plying the price with quantity, and the total cost by multiplying the cost with the quantity. Total profit is calculated by multiplying profit and quantity. We are given 4 initial points, and based on those 4 points we will calculate the point where the profit is currently maximized. Based …
A Hybrid Prognostic Model For Oral Cancer Based On Clinicopathologic And Genomic Markers, Sameem Abdul Kareem
A Hybrid Prognostic Model For Oral Cancer Based On Clinicopathologic And Genomic Markers, Sameem Abdul Kareem
Sameem Abdul Kareem
There are very few prognostic studies that combine both clinicopathologic and genomic data. Most of the studies use only clinicopathologic factors without taking into consideration the tumour biology and molecular information, while some studies use genomic markers or microarray information only without the clinicopathologic parameters. Thus, these studies may not be able to prognoses a patient effectively. Previous studies have shown that prognosis results are more accurate when using both clinicopathologic and genomic data. The objectives of this research were to apply hybrid artificial intelligent techniques in the prognosis of oral cancer based on the correlation of clinicopathologic and genomic …
The Applicability Of Greulich And Pyle Atlas To Assess Skeletal Age For Four Ethnic Groups, Sameem Abdul Kareem
The Applicability Of Greulich And Pyle Atlas To Assess Skeletal Age For Four Ethnic Groups, Sameem Abdul Kareem
Sameem Abdul Kareem
Background: Recently, determination of skeletal age, defined as the assessment of bone age, has rapidly become an important task between forensic experts and radiologists. The GreulichePyle (GP) atlas is one of the most frequently used methods for the assessment of skeletal age around the world. After presentation of the GP approach for the estimation of the bone age, much research has been conducted to examine the usability of this method in various geographic or ethnic categories. This study investigates on a small-scale and compares the reliability of the GP atlas for assessment of the bone age for four ethnic groups …
A Review Of Online Collaboration Tools Used By The Und Openorbiter Program, Jeremy Straub, Christoffer Korvald
A Review Of Online Collaboration Tools Used By The Und Openorbiter Program, Jeremy Straub, Christoffer Korvald
Jeremy Straub
The OpenOrbiter program at the University of North Dakota is a student-initiated, student-run effort to design, develop, test, launch and operate a CubeSat-class spacecraft to validate the designs of the Open Prototype for Educational NanoSatellites (a framework that will be made publically-available to allow faster and lower-cost missions at other educational institutions worldwide). OpenOrbiter involves (at various participation levels) over 200 faculty and students spanning five colleges and ten departments. To coordinate this large group of participants who comprise over seventeen teams and work at disjoint hours in a plethora of locations, online project management, software source control and hardware …
The Development Of Payload Software For A Small Spacecraft, Kyle Goehner, Christoffer Korvald, Jeremy Straub, Ronald Marsh
The Development Of Payload Software For A Small Spacecraft, Kyle Goehner, Christoffer Korvald, Jeremy Straub, Ronald Marsh
Jeremy Straub
The OpenOrbiter project is a multi-department effort to design and build a small spacecraft which will demonstrate the feasibility of the Open Prototype for Educational NanoSats (OPEN) framework. This framework will reduce cost of small spacecraft creation by providing design plans for free. The focus of the payload software group is to design and implement an onboard task processing and image processing service. Currently the project is in the development phase and most large design decisions have been made. This poster presents the major design decisions that have been made for the payload software and how they will affect the …
Exposing Multiple User-Specific Data Denominated Products From A Single Small Satellite Data Stream, Atif F. Mohammad,, Emanuel Grant, Jeremy Straub, Ronald Marsh, Scott Kerlin
Exposing Multiple User-Specific Data Denominated Products From A Single Small Satellite Data Stream, Atif F. Mohammad,, Emanuel Grant, Jeremy Straub, Ronald Marsh, Scott Kerlin
Jeremy Straub
This paper presents a research work on small satellite data stream and related distribution to associated stakeholders, which is a field that needs to get explored in more detail. The algorithm that is presented to extract USDDP (User-Specific Data Denominated Products) is a self managing body, which will be within as Open Space Box environment or OSBE as a novel idea. It contains an individual stream transmitted by the small satellite, which later is to be converted into USDDP. The context defined here deals with area in detail. Contexts are vitally important because they control, influence and affect everything within …
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Jason A Bengtson
Current metadata schemas are largely analog technology grafted onto the digital format. They have three inherent limitations that need to be transcended: they generate a static product which must be changed manually, they revolve around the needs of human, rather than mechanistic agents, and they are limited by the imagination and organizational capabilities of human agency. The author argues that to meet future challenges metadata will have to take a more flexible, adaptive form that centers on the needs of the machine in searching, interpretation and organization until the information it proxies enters into the human sphere. The author further …
The Art Of Redirection: Putting Mobile Devices Where You Want Them, Jason A. Bengtson
The Art Of Redirection: Putting Mobile Devices Where You Want Them, Jason A. Bengtson
Jason A Bengtson
Mobile technology has exploded, with many libraries experiencing a surge in access to their resources through mobile devices. In response, many institutions have created or are creating mobile sites designed to accommodate themselves to the unique strictures of these devices. One hurdle faced by these organizations, however, is getting mobile users to those sites. One solution is mobile redirect scripts, which automatically redirect mobile users from a regular page to a mobile page. These scripts come in various forms and present unique challenges to libraries. How are these scripts created? What triggers can or should be used to activate them? …
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Imagining Emergent Metadata, Realizing The Emergent Web, Jason A. Bengtson
Jason A Bengtson
Current metadata schemas are largely analog technology grafted onto the digital format. They have three inherent limitations that need to be transcended: they generate a static product which must be changed manually, they revolve around the needs of human, rather than mechanistic agents, and they are limited by the imagination and organizational capabilities of human agency. The author argues that to meet future challenges metadata will have to take a more flexible, adaptive form that centers on the needs of the machine in searching, interpretation and organization until the information it proxies enters into the human sphere. The author further …
Efficient Method Of Visual Feature Extraction For Facial Image Detection And Retrieval, Sameem Abdul Kareem
Efficient Method Of Visual Feature Extraction For Facial Image Detection And Retrieval, Sameem Abdul Kareem
Sameem Abdul Kareem
Due to the significant increase in the already huge collection of digital images that we have today, it has become imperative to find efficient methods for the archival and retrieval of these images. In this research, a content based human facial image detection and retrieval model is proposed for retrieving facial images of humans based on their visual content from an image database. The research proposes a technique of face segmentation based on which a new method of features extraction from the human face is devised. The capability and effectiveness of the color space models (RGB, HSV, and HSI) on …
Enhanced Indoor Locationing In A Congested Wi-Fi Environment, Hsiuping Lin, Ying Zhang, Martin Griss, Ilya Landa
Enhanced Indoor Locationing In A Congested Wi-Fi Environment, Hsiuping Lin, Ying Zhang, Martin Griss, Ilya Landa
Martin L Griss
Many context-aware mobile applications require a reasonably accurate and stable estimate of a user’s location. While the Global Positioning System (GPS) works quite well world-wide outside of buildings and urban canyons, locating an indoor user in a real-world environment is much more problematic. Several different approaches and technologies have been explored, some involving specialized sensors and appliances, and others using increasingly ubiquitous Wi- Fi and Bluetooth radios. In this project, we want to leverage existing Wi-Fi access points (AP) and seek efficient approaches to gain usefully high room-level accuracy of the indoor location prediction of a mobile user. The Redpin …
Automated Breast Profile Segmentation For Roi Detection Using Digital Mammograms, Sameem Abdul Kareem
Automated Breast Profile Segmentation For Roi Detection Using Digital Mammograms, Sameem Abdul Kareem
Sameem Abdul Kareem
Mammography is currently the most effective imaging modality used by radiologists for the screening of breast cancer. Finding an accurate, robust and efficient breast profile segmentation technique still remains a challenging problem in digital mammography. Extraction of the breast profile region and the pectoral muscle is an essential pre-processing step in the process of computer-aided detection. Primarily it allows the search for abnormalities to be limited to the region of the breast tissue without undue influence from the background of the mammogram. The presence of pectoral muscle in mammograms biases detection procedures, which recommends removing the pectoral muscle during mammogram …
A Comparative Study Of Threshold-Based Feature Selection Techniques, Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse
A Comparative Study Of Threshold-Based Feature Selection Techniques, Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse
Dr. Huanjing Wang
Abstract Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality classification models. This paper presents our newly proposed threshold-based feature selection techniques, comparing the performance of these techniques by building classification models using five commonly used classifiers. In order to evaluate the effectiveness of different feature selection techniques, the models are evaluated using eight different performance metrics separately since a given performance metric usually captures only one aspect of the classification performance. All experiments are conducted on three Eclipse data sets with different levels of class imbalance. The …
A Comparative Study Of Filter-Based Feature Ranking Techniques, Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao
A Comparative Study Of Filter-Based Feature Ranking Techniques, Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao
Dr. Huanjing Wang
One factor that affects the success of machine learning is the presence of irrelevant or redundant information in the training data set. Filter-based feature ranking techniques (rankers) rank the features according to their relevance to the target attribute and we choose the most relevant features to build classification models subsequently. In order to evaluate the effectiveness of different feature ranking techniques, a commonly used method is to assess the classification performance of models built with the respective selected feature subsets in terms of a given performance metric (e.g., classification accuracy or misclassification rate). Since a given performance metric usually can …
Overseer: A Mobile Context-Aware Collaboration And Task Management System For Disaster Response, Faisal B. Luqman, Martin L. Griss
Overseer: A Mobile Context-Aware Collaboration And Task Management System For Disaster Response, Faisal B. Luqman, Martin L. Griss
Martin L Griss
Efficient collaboration and task management is challenging in distributed, dynamically-formed organizations such as ad hoc disaster response teams. Ineffective collaboration may result in poor performance and possible loss of life. In this paper, we present an open multi-agent system, called Overseer, that leverages context information in a mobile setting to facilitate collaboration and task allocation for disaster response. We describe our system architecture, deployment, evaluation metrics, challenges and proposed solutions. We also show how mobile context can be used to create dynamic rolebased assignments to support collaboration and effective task management
Ssrn As An Initial Revolution In Academic Knowledge Aggregation And Dissemination, David Bray, Sascha Vitzthum, Benn Konsynski
Ssrn As An Initial Revolution In Academic Knowledge Aggregation And Dissemination, David Bray, Sascha Vitzthum, Benn Konsynski
Sascha Vitzthum
Within this paper we consider our results of using the Social Science Research Network (SSRN) over a period of 18 months to distribute our working papers to the research community. Our experiences have been quite positive, with SSRN serving as a platform both to inform our colleagues about our research as well as inform us about related research (through email and telephoned conversations of colleagues who discovered our paper on SSRN). We then discuss potential future directions for SSRN to consider, and how SSRN might well represent an initial revolution in 21st century academic knowledge aggregation and dissemination. Our paper …
Mining Data From Multiple Software Development Projects, Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
Mining Data From Multiple Software Development Projects, Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
Dr. Huanjing Wang
A large system often goes through multiple software project development cycles, in part due to changes in operation and development environments. For example, rapid turnover of the development team between releases can influence software quality, making it important to mine software project data over multiple system releases when building defect predictors. Data collection of software attributes are often conducted independent of the quality improvement goals, leading to the availability of a large number of attributes for analysis. Given the problems associated with variations in development process, data collection, and quality goals from one release to another emphasizes the importance of …
High-Dimensional Software Engineering Data And Feature Selection, Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao
High-Dimensional Software Engineering Data And Feature Selection, Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao
Dr. Huanjing Wang
Software metrics collected during project development play a critical role in software quality assurance. A software practitioner is very keen on learning which software metrics to focus on for software quality prediction. While a concise set of software metrics is often desired, a typical project collects a very large number of metrics. Minimal attention has been devoted to finding the minimum set of software metrics that have the same predictive capability as a larger set of metrics – we strive to answer that question in this paper. We present a comprehensive comparison between seven commonly-used filter-based feature ranking techniques (FRT) …
Computer Assisted Diagnoses For Red Eye (Cadre), Dr. Muhammad Zubair Asghar
Computer Assisted Diagnoses For Red Eye (Cadre), Dr. Muhammad Zubair Asghar
Dr. Muhammad Zubair Asghar
This paper introduces an expert System (ES) named as “CADRE-Computer Assisted Diagnoses for Red Eye. Mostly the remote areas of the population are deprived of the facilities of having experts in eye disease. So it is the need of the day to store the expertise of Eye specialists in computers through using ES technology. This ES is a rule-based Expert System that assists in red-eye diagnosis and treatment. The knowledge acquired from literature review and human experts of the specific domain was used as a base for analysis, diagnosis and recommendations. CADRE evaluates the risk factors of 20 eye diseases …
An Empirical Investigation Of Filter Attribute Selection Techniques For Software Quality Classification, Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang
An Empirical Investigation Of Filter Attribute Selection Techniques For Software Quality Classification, Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang
Dr. Huanjing Wang
Attribute selection is an important activity in data preprocessing for software quality modeling and other data mining problems. The software quality models have been used to improve the fault detection process. Finding faulty components in a software system during early stages of software development process can lead to a more reliable final product and can reduce development and maintenance costs. It has been shown in some studies that prediction accuracy of the models improves when irrelevant and redundant features are removed from the original data set. In this study, we investigated four filter attribute selection techniques, Automatic Hybrid Search (AHS), …
Towards Self-Organizing, Smart Business Networks: Let’S Create ‘Life’ From Inert Information, David Bray, Benn Konsynski
Towards Self-Organizing, Smart Business Networks: Let’S Create ‘Life’ From Inert Information, David Bray, Benn Konsynski
David A. Bray
We review three different theories that can inform how researchers can determine the performance of smart business networks, to include: (1) the Theory of Evolution, (2) the Knowledge-Based Theory of the Firm, and (3) research insights into computers and cognition. We suggest that each of these theories demonstrate that to be generally perceived as smart, an organism needs to be self-organizing, communicative, and tool-making. Consequentially, to determine the performance of a smart business network, we suggest that researchers need to determine the degree to which it is self-organizing, communicative, and tool-making. We then relate these findings to the Internet and …
Inheritance Evaluation System Using Islamic Law, Dr. Muhammad Zubair Asghar, Fazal Masud Kundi, Abdur Rashid Khan
Inheritance Evaluation System Using Islamic Law, Dr. Muhammad Zubair Asghar, Fazal Masud Kundi, Abdur Rashid Khan
Dr. Muhammad Zubair Asghar
The research work about the Inheritance Evaluation System using Islamic law is valuable for automatic calculation of share out of total inheritance of a deceased to his/her legal heir(s). First version of the software named as Islamic Inheritance Evaluation System (IIES) deals with Hanfi School of thought. IIES may solve the heritage problem of heirs in text as well as in graphical form at home without establishing a suit in any court. This also leads to further research of who is how much related to whom?