75 citations · 98 across the 18 of their papers we have counts for
18 papers
Effectiveness of High-Dimensional Distance Metrics on Solar Flare Time Series
Elaina Rohlfing, Azim Ahmadzadeh, V Aparna
Solar-flare forecasting has been extensively researched yet remains an open problem. In this paper, we investigate the contributions of elastic distance measures for detecting patt…
Beyond Point Matching: Evaluating Multiscale Dubuc Distance for Time Series Similarity
Azim Ahmadzadeh, Mahsa Khazaei, Elaina Rohlfing
Time series are high-dimensional and complex data objects, making their efficient search and indexing a longstanding challenge in data mining. Building on a recently introduced sim…
Automatic Classification of Magnetic Chirality of Solar Filaments from H-Alpha Observations
Alexis Chalmers, Azim Ahmadzadeh
In this study, we classify the magnetic chirality of solar filaments from H-Alpha observations using state-of-the-art image classification models. We establish the first reproducib…
H-Alpha Anomalyzer: An Explainable Anomaly Detector for Solar H-Alpha Observations
Mahsa Khazaei, Azim Ahmadzadeh, Alexei Pevtsov +2
The plethora of space-borne and ground-based observatories has provided astrophysicists with an unprecedented volume of data, which can only be processed at scale using advanced co…
A Guide for Manual Annotation of Scientific Imagery: How to Prepare for Large Projects
Azim Ahmadzadeh, Rohan Adhyapak, Armin Iraji +3
Despite the high demand for manually annotated image data, managing complex and costly annotation projects remains under-discussed. This is partly due to the fact that leading such…
Operational and Exploration Requirements and Research Capabilities for SEP Environment Monitoring and Forecasting
Viacheslav Sadykov, Petrus Martens, Dustin Kempton +15
Mitigating risks posed by solar energetic particles (SEPs) to operations and exploration in space and Earth's atmosphere motivates the development of advanced, synergistic approach…
Multiscale Dubuc: A New Similarity Measure for Time Series
Mahsa Khazaei, Azim Ahmadzadeh, Krishna Rukmini Puthucode
Quantifying similarities between time series in a meaningful way remains a challenge in time series analysis, despite many advances in the field. Most real-world solutions still re…
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics
Azim Ahmadzadeh, Rafal A. Angryk
The class-imbalance issue is intrinsic to many real-world machine learning tasks, particularly to the rare-event classification problems. Although the impact and treatment of imbal…
Improving Solar Flare Prediction by Time Series Outlier Detection
Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh +1
Solar flares not only pose risks to outer space technologies and astronauts' well being, but also cause disruptions on earth to our hight-tech, interconnected infrastructure our li…
Revisiting the Solar Research Cyberinfrastructure Needs: A White Paper of Findings and Recommendations
Gelu Nita, Azim Ahmadzadeh, Serena Criscuoli +15
Solar and Heliosphere physics are areas of remarkable data-driven discoveries. Recent advances in high-cadence, high-resolution multiwavelength observations, growing amounts of dat…
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
Atharv Yeoleka, Sagar Patel, Shreejaa Talla +4
The Space-Weather ANalytics for Solar Flares (SWAN-SF) is a multivariate time series benchmark dataset recently created to serve the heliophysics community as a testbed for solar f…
Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures
Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen +1
General-purpose object-detection algorithms often dismiss the fine structure of detected objects. This can be traced back to how their proposed regions are evaluated. Our goal is t…
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh +1
One of the limiting factors in training data-driven, rare-event prediction algorithms is the scarcity of the events of interest resulting in an extreme imbalance in the data. There…
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis +3
We present a case study of solar flare forecasting by means of metadata feature time series, by treating it as a prominent class-imbalance and temporally coherent problem. Taking f…
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…
Toward Filament Segmentation Using Deep Neural Networks
Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton +2
We use a well-known deep neural network framework, called Mask R-CNN, for identification of solar filaments in full-disk H-alpha images from Big Bear Solar Observatory (BBSO). The…
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data
Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin +4
In analyses of rare-events, regardless of the domain of application, class-imbalance issue is intrinsic. Although the challenges are known to data experts, their explicit impact on…
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission
Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk
We provide a large image parameter dataset extracted from the Solar Dynamics Observatory (SDO) mission's AIA instrument, for the period of January 2011 through the current date, wi…