Anika Tabassum

42 papers A* 3A 1B 6C 1Misc 2Journal 19Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training a Custom CNN on Five Heterogeneous Image Datasets.
CoRR
Anika Tabassum, Tasnuva Mahazabin Tuba, Nafisa Naznin
2025 J jnl
FOCUS: Fused Observation of Channels for Unveiling Spectra.
CoRR
Xi Xiao, Aristeidis Tsaris, Anika Tabassum, John H. Lagergren, Larry M. York, Tianyang Wang, Xiao Wang
2025 — conf
LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem Solving.
LLM4Code@ICSE
Md. S. Hossain, Anika Tabassum, Md. Fahim Arefin, Tarannum Shaila Zaman
2025 J jnl
LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem Solving.
CoRR
Md. S. Hossain, Anika Tabassum, Md. Fahim Arefin, Tarannum Shaila Zaman
2025 J jnl
RiceKernelEngine: Benchmarking transfer learning models for microscopic images of rice kernel.
Array
Mehrab Islam Arnab, Anika Tabassum, MD Tahsin, Md Monjor Morshed, Maksura Binte Rabbani Nuha, Md. Sawkat Ali, Mahamudul Hasan, Maheen Islam, Taskeed Jabid, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam
2024 J jnl
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing.
CoRR
Anika Tabassum, Amirkoushyar Ziabari
2024 B conf
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway.
IEEE Big Data
Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2024 — conf
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning.
NICE
Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
2024 B conf
Power Outage Forecasting for System Resiliency during Extreme Weather Events.
IEEE Big Data
Anika Tabassum, SangKeun Lee, Narayan Bhusal, Supriya Chinthavali
2024 J jnl
Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping.
IEEE Access
Sangkeun Matt Lee, Supriya Chinthavali, Narayan Bhusal, Nils M. Stenvig, Anika Tabassum, P. Teja Kuruganti
2024 A* conf
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation.
AAAI
Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2024 J jnl
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation.
CoRR
Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2023 J jnl
Attention for Causal Relationship Discovery from Biological Neural Dynamics.
CoRR
Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim
2023 J jnl
Deep edge intelligence-based solution for heart failure prediction in ambient assisted living.
Discov. Internet Things
Md. Ishan Arefin Hossain, Anika Tabassum, Zia Ush-Shamszaman
2023 Misc conf
Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets.
IRI
Sangkeun Lee, Jong Choi, Gs Jung, Anika Tabassum, Nils M. Stenvig, Supriya Chinthavali
2022 J jnl
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks.
CoRR
Deniz Mengu, Yifan Zhao, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan
2022 B conf
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components.
IEEE Big Data
Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers
2022 B conf
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning.
IEEE Big Data
Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu
2022 — conf
Real Time Bangla License Plate Recognition with Deep Learning Techniques.
IICAIET
Mahmudol H. Tusar, Md. T. Bhuiya, Md. S. Hossain, Anika Tabassum, Riasat Khan
2022 B conf
Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact.
IEEE Big Data
Anika Tabassum, Nils M. Stenvig, Sangkeun Lee, Supriya Chinthavali
2022 J jnl
Snapshot Multispectral Imaging Using a Diffractive Optical Network.
CoRR
Deniz Mengu, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan
2022 J jnl
Super-resolution image display using diffractive decoders.
CoRR
Çagatay Isil, Deniz Mengu, Yifan Zhao, Anika Tabassum, Jingxi Li, Yi Luo, Mona Jarrahi, Aydogan Ozcan
2021 A conf
Actionable Insights in Urban Multivariate Time-series.
CIKM
Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash
2021 A* conf
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting.
AAAI
Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash
2021 Misc conf
ECG Heart-Beat Classification Using Multimodal Image Fusion.
ICASSP
Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan
2021 J jnl
ECG Heart-beat Classification Using Multimodal Image Fusion.
CoRR
Zeeshan Ahmad, Anika Tabassum, Naimul Mefraz Khan, Ling Guan
2021 J jnl
ECG Heartbeat Classification Using Multimodal Fusion.
IEEE Access
Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan
2021 J jnl
ECG Heartbeat Classification Using Multimodal Fusion.
CoRR
Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan
2021 — conf
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes.
IEEE BigData
Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash
2021 — —
Explainable and Network-based Approaches for Decision-making in Emergency Management.
Anika Tabassum
2021 — conf
Identification of Critical Infrastructure via PageRank.
IEEE BigData
Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee
2021 A* conf
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19.
AAAI
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
2020 — conf
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks.
ICHI
Anika Tabassum, Naimul Mefraz Khan
2020 J jnl
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks.
CoRR
Anika Tabassum, Naimul Mefraz Khan
2020 J jnl
Cut-n-Reveal: Time Series Segmentations with Explanations.
ACM Trans. Intell. Syst. Technol.
Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash
2020 J jnl
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19.
CoRR
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
2020 — conf
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems.
IEEE BigData
Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee
2019 J jnl
Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective.
SIGKDD Explor.
Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash
2018 C conf
Impact of Vacancies on Thermal Transport of Defected Zigzag Stanene Nanoribbon: A Molecular Dynamics Simulation Study.
TENCON
Anika Tabassum, Shakib Mahmood, Sadman Sakib Ahbab, Asir Intisar Khan, Samia Subrina
2017 B conf
Dynamic Group Trip Planning Queries in Spatial Databases.
SSDBM
Anika Tabassum, Sukarna Barua, Tanzima Hashem, Tasmin Chowdhury
2017 — conf
University ranking prediction system by analyzing influential global performance indicators.
KST
Anika Tabassum, Mahamudul Hasan, Shibbir Ahmed, Rahnuma Tasmin, Deen Md. Abdullah, Tasnim Musharrat
2016 — conf
Discovering knowledge regarding academic profile of students pursuing graduate studies in world's top universities.
IWCI
Shibbir Ahmed, Abu Sayed Md. Latiful Hoque, Mahamudul Hasan, Rahnuma Tasmin, Deen Md. Abdullah, Anika Tabassum