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Individual Entrepreneurial Orientation: Scale Development And Validation, Daniel R. Clark, Jeffrey G. Covin, Robert J. Pidduck Jan 2025

Individual Entrepreneurial Orientation: Scale Development And Validation, Daniel R. Clark, Jeffrey G. Covin, Robert J. Pidduck

Management Faculty Publications

Recent research introduced and laid the foundation for a new individual-level entrepreneurial orientation conceptualization (Ind.EO) within the entrepreneurial orientation family of constructs. Building directly from this work, this article theoretically defines a measurement model for the construct and develops and validates a scale. We define and measure disposition-based behavior constructs for autonomy, competitiveness, innovativeness, proactiveness, and risk-taking, thus providing psychometrically validated tools that support research in the burgeoning Ind.EO domain. Scale items are generated deductively from our definitions, and then tested through four data collections with academics, the lay population, entrepreneurs, and business managers. Strong validation data across these multiple …

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Problem-Centered Post-Secondary Computer Science Education: A Study Of The Private Artificial Intelligence Curriculum, Golnoush Haddadian, Prajwal Panzade, Daniel Takabi, Min Kyu Kim Jan 2025

Problem-Centered Post-Secondary Computer Science Education: A Study Of The Private Artificial Intelligence Curriculum, Golnoush Haddadian, Prajwal Panzade, Daniel Takabi, Min Kyu Kim

School of Cybersecurity Faculty Publications

In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students’ evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a mix of undergraduates and graduates, were recruited and a scaled-down version of the curriculum was implemented. A parallel mixed-methods approach was employed. The results reinforced the significance of problem-centered curricula in CS context. Students rated the curricular activities highly and demonstrated strong motivation; however, graduates expressed more favorable view of …

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Privacy-Preserved And Incentivized Knowledge Sharing For Reinforced-Learning Based Iot Platform Security, Weichao Wang, Md Morshed Alam, Yu Wang Jan 2025

Privacy-Preserved And Incentivized Knowledge Sharing For Reinforced-Learning Based Iot Platform Security, Weichao Wang, Md Morshed Alam, Yu Wang

School of Cybersecurity Faculty Publications

With the fast development and deep penetration of IoT devices and smart environments, using localized machine learning models to detect malicious activities has also been developed and deployed. However, these isolated learning models and results cannot be effectively federated together because of privacy concerns and lack of incentivization. This paper proposed several mechanisms to solve the problem. A verification method was designed for phased learning results to protect user privacy and prevent individual parties from manipulating the verification selection. The paper also presented an incentive method based on delay of distribution of the latest federated learning results. Extensive simulations were …

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Security Enhancement In Uav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar Jan 2025

Security Enhancement In Uav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar

School of Cybersecurity Faculty Publications

As cyber-physical systems (CPSs) increasingly integrate physical and digital realms, securing critical infrastructure, such as the Port of Virginia, becomes paramount. Among CPSs, Unmanned Aerial Vehicles (UAVs) are vital for monitoring, communication, and supporting the command and control through remote reconnaissance and surveillance missions. These UAV applications often require coordination, planning, and runtime reconfiguration, traditionally managed by human decision-makers. However, this approach has limitations, as extensively documented in the literature. Artificial Intelligence (AI) has emerged as a pivotal tool to address these limitations, enhancing risk mitigation and informed decision-making. This research proposes a machine learning (ML) based security mechanism, leveraging …

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Security Enhancement In Aav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar Jan 2025

Security Enhancement In Aav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar

School of Cybersecurity Faculty Publications

As cyber-physical systems (CPSs) increasingly integrate physical and digital realms, securing critical infrastructure, such as the Port of Virginia, becomes paramount. Among CPSs, Autonomous Aerial Vehicles (AAVs) are vital for monitoring, communication, and supporting the command and control through remote reconnaissance and surveillance missions. These AAV applications often require coordination, planning, and runtime reconfiguration, traditionally managed by human decision-makers. However, this approach has limitations, as extensively documented in the literature. Artificial Intelligence (AI) has emerged as a pivotal tool to address these limitations, enhancing risk mitigation and informed decision-making. This research proposes a machine learning (ML) based security mechanism, leveraging …

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Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington Jan 2025

Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington

School of Cybersecurity Faculty Publications

Traffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity across the nation and improve mobility. Reaching these characteristics demands good traffic volume prediction methods, not only in the short term but also in the long term, which helps design transportation strategies and road planning. However, most of the research has focused on short-term prediction, applied mostly to short-trip distances, while effective long-term forecasting, which has become a challenging issue …

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Tl-Convlstm: A Transfer-Learning-Based Convolutional Lstm To Identify And Forecast Traffic In The Nextg Environments, Bikash Chandra Singh, Peter Foytik, Rafael Diaz, Sachin Shetty Jan 2025

Tl-Convlstm: A Transfer-Learning-Based Convolutional Lstm To Identify And Forecast Traffic In The Nextg Environments, Bikash Chandra Singh, Peter Foytik, Rafael Diaz, Sachin Shetty

School of Cybersecurity Faculty Publications

Forecasting and categorizing cellular traffic flows and their types are essential functions in intelligent network systems to ensure efficient network optimization. The ever-evolving nature of 5G networks results in fluctuations in traffic patterns over time, leading to a phenomenon known as model drift. Consequently, accurately predicting and identifying cellular traffic patterns becomes a complex task. To tackle this challenge, this article introduces an innovative approach called TL-ConvLSTM, which combines transfer learning with convolutional long short-term memory (ConvLSTM) to effectively combat model drift and provide precise forecasting and recognition of cellular traffic within the network. To accomplish this, we initiate the …

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Swatting Flies: Biting Insects As Non-Invasive Samplers For Mammalian Population Genomics, Anubhab Khan, Ryan Carter, Chengetai D. Mpamhanga, Daniel Masiga, Manun Channumsin, Marc Ciosi, Oliva Manangwa, Furaha Mramba, Umer Zeeshan Ijaz, Harriet Auty, Barbara K. Mable Jan 2025

Swatting Flies: Biting Insects As Non-Invasive Samplers For Mammalian Population Genomics, Anubhab Khan, Ryan Carter, Chengetai D. Mpamhanga, Daniel Masiga, Manun Channumsin, Marc Ciosi, Oliva Manangwa, Furaha Mramba, Umer Zeeshan Ijaz, Harriet Auty, Barbara K. Mable

All Peer-Reviewed Publications

Advances in next-generation sequencing have allowed the use of DNA obtained from unusual sources for wildlife studies. However, these samples have been used predominantly to sequence mitochondrial DNA for species identification while population genetics analyses have been rare. Since next-generation sequencing allows indiscriminate detection of all DNA fragments in a sample, technically it should be possible to sequence whole genomes of animals from environmental samples. Here we used a blood-feeding insect, tsetse fly, to target whole genome sequences of wild animals. Using pools of flies, we compared the ability to recover genomic data from hosts using the short-read sequencing (Illumina) …

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Enhancing Electric Wheelchair Safety Via Battery State Of Charge Estimationwith Pcc–Nssr–Lstm Method, Chi Wing, Alex Tsang, Xiaoying Lu Jan 2025

Enhancing Electric Wheelchair Safety Via Battery State Of Charge Estimationwith Pcc–Nssr–Lstm Method, Chi Wing, Alex Tsang, Xiaoying Lu

Department of Construction, Environment and Engineering

This study explores a novel algorithm created to predict the state of charge (SOC) of batteries in electric wheelchairs (EWs) to improve EW safety by adjusting SOC thresholds and reducing consumer range anxiety. It involves collecting experimental data from lithium iron phosphate (LFP) battery cells over 1500 cycles at 25◦C, encompassing various parameters. With the Pearson correlation coefficient (PCC), a select set of key parameters including voltage, temperature, dQ/dV (capacity increase to voltage increase ratio) are chosen as inputs for non-linear state space reconstruction long short-term memory (NSSR-LSTM) neural networks, facilitating precise SOC predictions. The study showcases the precision of …

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Development Of Aln-Loaded Pet Separators From Waste Water Bottle Plastics With Superior Thermal Characteristics For Next-Generation Lithium-Ion Batteries, Chi Wing, Alex Tsang, Xiaoying Lu, Dawson Wai Shun Suen Jan 2025

Development Of Aln-Loaded Pet Separators From Waste Water Bottle Plastics With Superior Thermal Characteristics For Next-Generation Lithium-Ion Batteries, Chi Wing, Alex Tsang, Xiaoying Lu, Dawson Wai Shun Suen

Department of Construction, Environment and Engineering

Preventing short circuit hazard due to lithium (Li) dendrite formation across a separator from the anode of a lithium-ion battery (LIB) throughout operation is important; however, conventional separator materials cannot fulfil the increasing safety standards of next-generation LIBs. Thus, developing separator materials with high Li dendrite suppression ability in order to prevent short circuit is of paramount importance for realising next-generation LIBs. In this study, aluminum nitride-loaded polyethylene terephthalate (PET/AlN) composites with micro-/nanoarchitecture were synthesized using PET that was recycled from commercial waste bottles via an electrospinning strategy. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) suggested that AlN …

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A Novel Catalyst Featuring Highly Stable Cobalt And Manganese Nitride Nanoclusters Dispersed On Single Atom-Anchored Carbon Nanotubes For Hydrolytic Release Of Hydrogen From Ammonia Borane, Dawson Wai Shun Suen, Xiaoying Lu, Chi Wing, Alex Tsang Jan 2025

A Novel Catalyst Featuring Highly Stable Cobalt And Manganese Nitride Nanoclusters Dispersed On Single Atom-Anchored Carbon Nanotubes For Hydrolytic Release Of Hydrogen From Ammonia Borane, Dawson Wai Shun Suen, Xiaoying Lu, Chi Wing, Alex Tsang

Department of Construction, Environment and Engineering

This study investigated the long-term stability of cobalt (Co) and manganese nitride (Mn4N) nanoclusters in the catalytic hydrolysis of a promising hydrogen (H2) storage material, ammonia borane (H3NBH3; AB), to release H2. It was previously found that Co nanoparticle/Co single-atom catalysts (Co NP/Co SACs) anchored on carbon nanotubes (CNT) exhibited excellent reactivity and stability towards AB hydrolysis and high performance in the H2 evolution reaction in alkaline media. Therefore, the current study synthesised CoMn4N/Co-Mn-Nx-CNT- 200–800, a CoMn-based catalyst with Co and Mn4N nanocluster active sites, and examined its performance in AB hydrolysis. CoMn4N/Co-Mn-Nx-CNT-200–800 generated three equivalents of H2 from AB …

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Ni/Nb2o5 As A Noble-Metal-Free Catalyst For The Chemical Upcycling Of Waste Polyolefin Plastics, Chi Wing, Alex Tsang Jan 2025

Ni/Nb2o5 As A Noble-Metal-Free Catalyst For The Chemical Upcycling Of Waste Polyolefin Plastics, Chi Wing, Alex Tsang

Department of Construction, Environment and Engineering

The resource utilization of waste polyolefin plastics is expected to be achieved through upgrading and reconstruction processes, but the primary scientific challenge lies in the development of efficient and cost-effective catalysts. In this paper, we present Ni nanoparticles supported on Nb₂O₅ with tunable acid sites (Ni/Nb2O5-T) as noble-metal-free catalysts for the upcycling of waste plastics. These catalysts efficiently facilitate a one-pot, solvent-free hydrogenolysis-isomerization of waste plastics, converting them into aromatic-free, highly branched alkane aviation fuels under mild conditions. Notably, the bifunctional Ni/Nb2O5-400 catalyst, characterized by highly dispersed metallic Ni sites and strong Brønsted acid sites, promotes key reactions such as …

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Transforming Chiller Plant Efficiency With Sc+Bas: Case Study In A Hong Kong Shopping Mall, Ming Lun, Alan Fong, Baonan Nelson Li Jan 2025

Transforming Chiller Plant Efficiency With Sc+Bas: Case Study In A Hong Kong Shopping Mall, Ming Lun, Alan Fong, Baonan Nelson Li

Department of Construction, Environment and Engineering

The imperative for building managers, in the face of high-density urban environments, is to drive existing chiller plants to greater operational efficiency through the application of advanced technological interventions. The case for applying Supervisory Control (SC) and a Building Automation System (SC+BAS) for optimizing chiller plants is the subject of investigation here, through the lens of a typical commercial shopping mall in the highdensity infrastructure of Hong Kong. The application of SC+BAS falls into the realm of advanced Trim/Respond algorithms coupled with sophisticated sequencing algorithms that allow for refined optimization of the chiller operations in response to the dynamic demands …

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Review On Building Retro-Commissioning: A Systematic-Cascade Literature Analysis With Expert Validation, Wai Yee, Betty Chiu Jan 2025

Review On Building Retro-Commissioning: A Systematic-Cascade Literature Analysis With Expert Validation, Wai Yee, Betty Chiu

Department of Construction, Environment and Engineering

To optimize the energy performance of buildings, governments worldwide have introduced retro-commissioning (RCx), a systematic investigation of opportunities to improve the performance of existing buildings. However, RCx studies and applications are not as prevalent as those in the other building energy related domains. The past and recent states of RCx research have not been thoroughly investigated, and future research directions remain unclear. Therefore, a review is conducted to address these gaps using a systematic-cascade approach that includes: retrieval of RCx publications from the ScienceDirect and Scopus databases; bibliometric analysis of the publications using the VOSviewer software; in-depth qualitative analysis of …

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Maturity Model For Early-Age Compressive Strength Estimation Of Fly Ash Concrete Considering The Effect Of Temperature, Ho Fai Simon Wong Jan 2025

Maturity Model For Early-Age Compressive Strength Estimation Of Fly Ash Concrete Considering The Effect Of Temperature, Ho Fai Simon Wong

Department of Construction, Environment and Engineering

The significant effect of temperature on the early-age compressive strength development of fly ash concrete was investigated through experimental study and modeling calculations in this paper. The compressive strengths of concrete specimens with different fly ash to binder ratios, cured at three different temperatures, were tested at various ages. The experimental results demonstrate a significant difference in strength development between ordinary concrete and fly ash concrete, indicating that the existing maturity model for normal concrete is unsuitable for predicting the compressive strength of fly ash concrete. To further quantitatively analyze the effect, the maturity model, which takes into account the …

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The Art Of Accessing Science, Kyle Mark Trunnell Jan 2025

The Art Of Accessing Science, Kyle Mark Trunnell

Honors Program Theses

No abstract provided.

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Evaluating Corporate Advertising: How Deception Leads To Downfall, Madison Duong Jan 2025

Evaluating Corporate Advertising: How Deception Leads To Downfall, Madison Duong

Honors Program Theses

No abstract provided.

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Language As Privilege: Socioeconomic Status And The Politics Of Foreign Language Learning, Brenda Koumondji Jan 2025

Language As Privilege: Socioeconomic Status And The Politics Of Foreign Language Learning, Brenda Koumondji

Honors Program Theses

This study investigates the relationship between socioeconomic status (SES) and foreign language learning among young adult learners. Much research suggests that parental education level, household income, and access to educational resources significantly shape language learning attitudes and behaviors. However, United States scholars have lagged in this analysis. Through a mixed-methods research approach, this study combines quantitative surveys and qualitative data to gather comprehensive insights on how SES influences foreign language acquisition, motivation, and advantages. Findings reveal that students with higher SES backgrounds consistently report greater access to language learning resources and significantly higher proficiency levels. While parental education might not …

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Who Owns The Dead: The Unequal Access To Repatriation In Us Law, Sydney Blum Jan 2025

Who Owns The Dead: The Unequal Access To Repatriation In Us Law, Sydney Blum

Honors Program Theses

No abstract provided.

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A Case Study Of Harmful Revisionist History: An Analysis Of Nada Por Lo Que Pedir Perdón By Marcelo Gullo Omodeo, Anna Anderson Jan 2025

A Case Study Of Harmful Revisionist History: An Analysis Of Nada Por Lo Que Pedir Perdón By Marcelo Gullo Omodeo, Anna Anderson

Honors Program Theses

No abstract provided.

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Housing Cal Poly Humboldt Students, Andrea Santamaria Jan 2025

Housing Cal Poly Humboldt Students, Andrea Santamaria

Cal Poly Humboldt theses and projects

Student Housing & Residence Life at Cal Poly Humboldt has been consistently critiqued for the shortage of spaces available and unsuitable student placements. Student input from a 2024 survey is used to call for affordable and equity-based housing accommodations. Results showed that the first factor students consider when selecting between housing options is Cost. More incentives are needed to recruit a higher number of students living on campus. 33.88% (41 students) prefer to live on campus regardless of obstacles or challenges. 66.12% (80 students) would rather live off-campus. Improving housing experiences can decrease low retention, graduation, and recruitment rates, as …

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First-Year College Transition: The Role Of Psychosocial Resources In Student Motivation, Hayley Weatherill Jan 2025

First-Year College Transition: The Role Of Psychosocial Resources In Student Motivation, Hayley Weatherill

Cal Poly Humboldt theses and projects

First-year students transitioning to college culture have various areas of concern during this developmental period. Adolescents and young adults focus on creating and maintaining social connections while navigating a new environment and keeping up with their academics. With rising tuition costs, economic uncertainty, and pressing social challenges, many students enter college under significant stress. Navigating these challenges successfully requires motivation and support to persist through the first year and beyond. This project explored how college institutions support first-year students’ transition to higher education by helping students fulfill the three basic psychological needs of self-determination theory: autonomy, competency, and relatedness. When …

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From Spark To Wildfire: Predicting Wildfire Origins And The Efficacy Of “Fire Safe” Cigarettes In California Grasslands, Trevor Blackwell Haltermann Jan 2025

From Spark To Wildfire: Predicting Wildfire Origins And The Efficacy Of “Fire Safe” Cigarettes In California Grasslands, Trevor Blackwell Haltermann

Cal Poly Humboldt theses and projects

As wildfires in North America increase in size and frequency, the societal impacts become greater as well. With greater risk and high fire suppression costs it is pertinent to improve fire investigation methods and limit the potential for human caused ignitions. Two distinct studies were carried out to assess the accuracy of fire pattern indicators and the efficacy of “fire safe” cigarette technology in lowland grass fuel types in California. The first study utilized 24 experimental small-scale fires within a wind tunnel to examine the accuracy of microscale fire pattern indicators and the factors that influence the accuracy of predictions …

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Assessing Residents' Water Knowledge, Communication Preferences, And Risk Perceptions: Insights For Practice And Future Communication, Ashleigh M. Day, Eric S. Cerino, Zoe Zidzik, Laura Umphrey Jan 2025

Assessing Residents' Water Knowledge, Communication Preferences, And Risk Perceptions: Insights For Practice And Future Communication, Ashleigh M. Day, Eric S. Cerino, Zoe Zidzik, Laura Umphrey

Iowa Journal of Communication

The purpose of this research was to better understand Flagstaff, Arizona (AZ) residents’ water knowledge, media uses, information sources, and water-related risk perceptions. After collecting survey responses from residents (n=476), results highlighted that most residents know their water supplier, but their risk perceptions varied as related to waterborne diseases and water scarcity. Particularly, participants felt more susceptible to water scarcity issues than waterborne diseases and felt that water scarcity was more severe than waterborne diseases. Further, when considering getting water-related information, many participants preferred receiving information via digital devices. Regarding social media use, participants held the strongest preference for receiving …

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Toxic Sweetness And Abstinence: The Citationality Of Robert Lustig's Anti-Sugar Rhetoric, Tyler J. Snelling Jan 2025

Toxic Sweetness And Abstinence: The Citationality Of Robert Lustig's Anti-Sugar Rhetoric, Tyler J. Snelling

Iowa Journal of Communication

Robert Lustig’s (2009) lecture on YouTube “Sugar: The Bitter Truth” animated a widespread conversation about whether sugar poisons bodies. Discourse following the lecture warrants analysis to gage how the meaning of the lecture transformed from a critique of food systems into individual actions. I argue that citationality of “Sugar: The Bitter Truth” fosters healthism by grounding sugar’s toxicity in scientific and affective reasoning that compels individual actions like abstinence from sugar. The pediatrician's lecture enabled the construction of a supposedly "moral eater" who removes sugar from consumption to avoid the poison's consequences. This paper offers tools for examining the spread …

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Moldy Whoppers And Vitamin Donuts: Health Halos In Food Advertisements, Debbie Danowski Jan 2025

Moldy Whoppers And Vitamin Donuts: Health Halos In Food Advertisements, Debbie Danowski

Iowa Journal of Communication

Health Halos have been used in food advertisements since the late nineteenth and early twentieth centuries when the advent of mass-produced consumer goods took hold and manufactures began advertising their products. It wasn’t until nearly eight decades later, however, that theoretical framework specifically involving health halos was recognized in advertising research. Though subsequent research suggests the effectiveness of health halos in making unhealthy food appear healthier, there has been little, if any, attention given to identification of the health halos used in food advertising. This study aims to fill the gap by identifying two of the health halo techniques used …

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Lrtm Left-Right Transition Matrices For Molecular Interaction Prediction, Kaitlin Zheng, Guihua Duan, Mengyun Yang, Wei Wu, Yao-Hang Li, Jianxin Wang Jan 2025

Lrtm Left-Right Transition Matrices For Molecular Interaction Prediction, Kaitlin Zheng, Guihua Duan, Mengyun Yang, Wei Wu, Yao-Hang Li, Jianxin Wang

Computer Science Faculty Publications

Molecular interactions are central to most biological processes. The discovery and identification of potential associations between molecules can provide insights into biological exploration, diagnostic and therapeutic interventions, and drug development. So far many relevant computational methods have been proposed, but most of them are usually limited to specific domains and rely on complex preprocessing procedures, which restricts the models’ ability to be applied to other tasks. Therefore, it remains a challenge to explore a generalized approach to accurately predicting potential associations. In this study, We propose Left-Right Transition Matrices (LRTM) for molecular interaction prediction. From the perspective on the diffusion …

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Vaim-Cff: A Variational Autoencoder Inverse Mapper Solution To Compton Form Factor Extraction From Deeply Virtual Compton Scattering, Manal Almaeen, Tareq Alghamdi, Brandon Kriesten, Douglas Adams, Yaohang Li, Huey-Wen Lin, Simonetta Liuti Jan 2025

Vaim-Cff: A Variational Autoencoder Inverse Mapper Solution To Compton Form Factor Extraction From Deeply Virtual Compton Scattering, Manal Almaeen, Tareq Alghamdi, Brandon Kriesten, Douglas Adams, Yaohang Li, Huey-Wen Lin, Simonetta Liuti

Computer Science Faculty Publications

We develop a new methodology for extracting Compton form factors (CFFs) from deeply virtual exclusive reactions such as the unpolarized DVCS cross section using a specialized inverse problem solver, a variational autoencoder inverse mapper (VAIM). The VAIM-CFF framework not only allows us access to a fitted solution set possibly containing multiple solutions in the extraction of all 8 CFFs from a single cross section measurement, but also accesses the lost information contained in the forward mapping from CFFs to cross section. We investigate various assumptions and their effects on the predicted CFFs such as cross section organization, number of extracted …

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From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer Jan 2025

From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

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Energy-Based Deep Incomplete Multi-View Clustering, Ziyu Wang, Yiming Du, Rui Ning, Lusi Li Jan 2025

Energy-Based Deep Incomplete Multi-View Clustering, Ziyu Wang, Yiming Du, Rui Ning, Lusi Li

Computer Science Faculty Publications

Incomplete multi-view clustering (IMVC) deals with real-world scenarios where certain views are partially missing, posing significant challenges to effective clustering. Most existing IMVC approaches face a trade-off: imputation-free methods suffer from information bias and imbalance, while full-imputation methods risk introducing and propagating noise. To overcome these limitations, we propose Energy-Based Deep Incomplete Multi-View Clustering (Energy-DIMC), a novel selective-imputation framework that leverages energy-based models (EBMs) to guide reliable imputations and robust clustering. EBMs assess data compatibility by assigning lower energy to more coherent structures, effectively modeling complex inter-view and inter-sample dependencies. Inspired by EBMs, Energy-DIMC integrates four key components: 1) a …

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