129 citations · 717 across the 46 of their papers we have counts for
50 papers
Multimodal Pretraining for Generalizable EEG Representation Learning
Targol Bakhtiarvand, Jugal Kalita, Adham Atyabi
Electroencephalography (EEG) models used for epilepsy are often limited to specific datasets and tasks. This limited approach can make it challenging to apply these models across d…
AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification
Parthajit Borah, Sakshi Singh, D. K. Bhattacharyya +1
As malware illustrates a complex structure and behavior, detection of these has been a significant challenge in the domain of cybersecurity along with related services in daily lif…
TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
Parthajit Borah, Upasana Sarmah, D. K. Bhattacharyya +1
Malware and malware-based attacks are becoming more prevalent and complex. Attackers regularly come up with new techniques that have the ability to evade conventional and signature…
A Survey of Malware Detection Using Deep Learning
Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud
The problem of malicious software (malware) detection and classification is a complex task, and there is no perfect approach. There is still a lot of work to be done. Unlike most o…
Deep Multi-Task Learning for Malware Image Classification
Ahmed Bensaoud, Jugal Kalita
Malicious software is a pernicious global problem. A novel multi-task learning framework is proposed in this paper for malware image classification for accurate and fast malware de…
Explaining Math Word Problem Solvers
Abby Newcomb, Jugal Kalita
Automated math word problem solvers based on neural networks have successfully managed to obtain 70-80\% accuracy in solving arithmetic word problems. However, it has been shown th…
Training-free Neural Architecture Search for RNNs and Transformers
Aaron Serianni, Jugal Kalita
Neural architecture search (NAS) has allowed for the automatic creation of new and effective neural network architectures, offering an alternative to the laborious process of manua…
Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models
Atnafu Lambebo Tonja, Hellina Hailu Nigatu, Olga Kolesnikova +3
This paper describes CIC NLP's submission to the AmericasNLP 2023 Shared Task on machine translation systems for indigenous languages of the Americas. We present the system descrip…
Abstractive Text Summarization Using the BRIO Training Paradigm
Khang Nhut Lam, Thieu Gia Doan, Khang Thua Pham +1
Summary sentences produced by abstractive summarization models may be coherent and comprehensive, but they lack control and rely heavily on reference summaries. The BRIO training p…
Spatiotemporal Transformer for Stock Movement Prediction
Daniel Boyle, Jugal Kalita
Financial markets are an intriguing place that offer investors the potential to gain large profits if timed correctly. Unfortunately, the dynamic, non-linear nature of financial ma…
Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting
Gabriel Mantione-Holmes, Justin Leo, Jugal Kalita
In order for artificial neural networks to begin accurately mimicking biological ones, they must be able to adapt to new exigencies without forgetting what they have learned from p…
CAMeMBERT: Cascading Assistant-Mediated Multilingual BERT
Dan DeGenaro, Jugal Kalita
Large language models having hundreds of millions, and even billions, of parameters have performed extremely well on a variety of natural language processing (NLP) tasks. Their wid…
Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin
Khang Nhut Lam, Nguyen Hoang Huynh, Nguyen Bao Ngoc +6
The research reported in this paper transforms a normal trash bin into a smarter one by applying computer vision technology. With the support of sensors and actuator devices, the t…
Facial Expression Recognition and Image Description Generation in Vietnamese
Khang Nhut Lam, Kim-Ngoc Thi Nguyen, Loc Huu Nguy +1
This paper discusses a facial expression recognition model and a description generation model to build descriptive sentences for images and facial expressions of people in images.…
Automatically Creating a Large Number of New Bilingual Dictionaries
Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita
This paper proposes approaches to automatically create a large number of new bilingual dictionaries for low-resource languages, especially resource-poor and endangered languages, f…
Building a Chatbot on a Closed Domain using RASA
Khang Nhut Lam, Nam Nhat Le, Jugal Kalita
In this study, we build a chatbot system in a closed domain with the RASA framework, using several models such as SVM for classifying intents, CRF for extracting entities and LSTM…
Creating Lexical Resources for Endangered Languages
Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita
This paper examines approaches to generate lexical resources for endangered languages. Our algorithms construct bilingual dictionaries and multilingual thesauruses using public Wor…
Automatically constructing Wordnet synsets
Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita
Manually constructing a Wordnet is a difficult task, needing years of experts' time. As a first step to automatically construct full Wordnets, we propose approaches to generate Wor…
Creating Reverse Bilingual Dictionaries
Khang Nhut Lam, Jugal Kalita
Bilingual dictionaries are expensive resources and not many are available when one of the languages is resource-poor. In this paper, we propose algorithms for creation of new rever…
Phrase translation using a bilingual dictionary and n-gram data: A case study from Vietnamese to English
Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita
Past approaches to translate a phrase in a language L1 to a language L2 using a dictionary-based approach require grammar rules to restructure initial translations. This paper intr…
Towards Multimodal Vision-Language Models Generating Non-Generic Text
Wes Robbins, Zanyar Zohourianshahzadi, Jugal Kalita
Vision-language models can assess visual context in an image and generate descriptive text. While the generated text may be accurate and syntactically correct, it is often overly g…
ZoDIAC: Zoneout Dropout Injection Attention Calculation
Zanyar Zohourianshahzadi, Terrance E. Boult, Jugal K. Kalita
In the past few years the transformer model has been utilized for a variety of tasks such as image captioning, image classification natural language generation, and natural languag…
Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models
Abigail Swenor, Jugal Kalita
Attacks on deep learning models are often difficult to identify and therefore are difficult to protect against. This problem is exacerbated by the use of public datasets that typic…
Neural Attention for Image Captioning: Review of Outstanding Methods
Zanyar Zohourianshahzadi, Jugal K. Kalita
Image captioning is the task of automatically generating sentences that describe an input image in the best way possible. The most successful techniques for automatically generatin…