Mononito Goswami
11 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
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Renaissance Researcher
(5)
β
The Questioner
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(64)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(8)
Artificial Intelligence
(5)
Application Areas
(4)
Core AI
(4)
Learning Types
(4)
Data Science & Analytics
(3)
Natural Language Processing
(3)
Methods
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Interdisciplinary
(2)
Applications
(2)
Clinical
(2)
Education
(2)
Keywords
text classification
(2)
cognitive state
(2)
representation learning
(2)
semi-supervised learning
(2)
machine learning
(2)
affective computing
(2)
natural language processing
(1)
multimodal learning
(1)
sentiment analysis
(1)
question answering
(1)
prototype learning
(1)
text summarization
(1)
text representation
(1)
educational technology
(1)
model combination
(1)
pretraining
(1)
class imbalance
(1)
weak supervision
(1)
time series
(1)
time series anomaly detection
(1)
Papers
Exploring Representations and Interventions in Time Series Foundation Models
ICML 2025
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
AAAI 2024
MOMENT: A Family of Open Time-series Foundation Models
ICML 2024
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
AAAI 2024
AQuA: A Benchmarking Tool for Label Quality Assessment
NeurIPS 2023
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
Classifying Unstructured Clinical Notes via Automatic Weak Supervision
MLHC 2022
A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract)
AAAI 2020
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
AAAI 2020
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)
AAAI 2020
Whatβs Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
AAAI 2019